bluuebunny/crossref_metadata_2025_split huggingface dataset:
A highly sensitive AgNPs/Ni3(HHTP)2 SERS substrate for the detection of food additives and pesticide residues
Authors: Yuan YangTao , Zhou ZhengXian , Hao XuDong , Mi JiaJia , Cao Yu , Shi JianPing 
Published: August 2024

Abstract
Surface-enhanced Raman scattering (SERS) is a spectroscopic technique that utilizes nanostructured substrates and is vital in food analysis. However, enhancing SERS substrates’ sensitivity and applicability remains a challenge. The conductive metal organic framework Ni3(HHTP)2 has been widely used due to its excellent conductivity and porous structure. This study combines Ni3(HHTP)2’s charge transfer properties with AgNPs’s localized surface plasmon resonance to create a highly sensitive SERS substrate. Firstly, rod-shaped Ni3(HHTP)2 was prepared, and then a monolayer of AgNPs film was loaded on its surface. The substrate can detect crystal violet at a concentration of 10−14 M, and Ni3(HHTP)2 has a flat structure, coupled with AgNPs film, provided good detection uniformity (Relative Standard Deviation, RSD = 10.09%). Moreover, the substrate successfully detected food additives solutions, as well as the pesticide residues on fruit surfaces by bending. This substrate offers a rapid monitoring solution for food safety, facilitating real-time detection of contaminants in daily life.
Switchable multifunctional terahertz coding metasurface containing Dirac semimetal for wavefront manipulation
Authors: Zhang Yonggang , Wang Xuelin , Liu Yang , Wu Guifang , Wang Ziqun , Li Zhenhua , Yan Xin , Xu WeiYao , Yao Haiyun , Liang Lanju 
Published: August 2024

Abstract
Dirac semimetal (DSM) coding metasurfaces enable switchable beam control in the terahertz (THz) communication field, thereby providing additional options for the regulation of electromagnetic waves. This study proposes a new structure based on a DSM THz coding metasurface. By adjusting the DSM size, a coding metasurface containing eight units is constructed to realize 3-bit coding. Simultaneously, by adjusting the DSM Fermi level (E

F
), the relative phase delay of adjacent units is controlled, resulting in a switchable coding metasurface. Using specific coding arrangements, multi-functions, such as beam deflection, beam splitting, vortex beams, and vortex beams with adjustable deflection angles can be controlled. Furthermore, a reduce radar cross-section (by approximately 13 dB at an operating frequency of 1.05 THz), is achieved. This study provides novel concepts and methods for metamaterials in the fields of communication and radar.
Hidden Chaos in a new memristor-based discrete system with commensurate, incommensurate and variable fractional orders
Authors: Abbes Abderrahmane , Ouannas Adel , Hioual Amel , Momani Shaher 
Published: August 2024

Abstract
Memristors special qualities and potential to completely transform computing and memory technology have made them indispensable parts of many applications , which have attracted a lot of interest in complex dynamics. The manuscript focuses on an exhaustive exploration of the chaotic dynamical behaviors exhibited by memristor-based discrete systems under various fractional orders. Specifically, it scrutinizes three distinct variants: the memristor-based discrete system with commensurate fractional order, the memristor-based discrete system with incommensurate fractional order, and the memristor-based discrete system with variable fractional order. The study highlights how different fractional order cases can produce different dynamic patterns and chaotic behavior in the model. Each variant presents unique characteristics, such as the absence of a fixed point and the presence of multiple chaotic hidden attractors. To substantiate the theoretical assertions, a comprehensive array of numerical methods is employed, including bifurcation charts, phase portraits, and the computation of Lyapunov exponents. These techniques serve to validate the presence of chaotic attractors within the proposed variable fractional versions of the memristor-based discrete system. MATLAB R2024a simulations are conducted to further bolster the obtained findings, providing empirical validation and robustness to the theoretical conjectures put forth in the manuscript. Through this approach, the work offers valuable insights into the complex dynamics of memristor-based discrete systems under fractional orders, paving the way for future research and practical applications in the field of nonlinear dynamics and chaos theory.
Density-density correlation functions of chiral Luttinger liquids with a point-contact impurity
Authors: Danny Babu Nikhil , Setlur Girish S 
Published: August 2024

Abstract
The density-density correlation functions (most singular parts) of chiral Luttinger liquids forming the fractional quantum Hall effect (FQHE) edge are systematically derived in presence of a point-contact junction acting as a localised scalar impurity and are shown to be expressible as compact analytical functions with second order poles and involving the bare scale-independent reflection and transmission coefficients. The results are validated on comparison with standard fermionic perturbation theory. The linear response Hall conductance in the absence of a point-contact is recovered from the obtained density-density correlation functions (DDCF). The system under consideration is inhomogeneous with broken translational invariance and for such systems in one dimension, the connected moments of the density fluctuation operator beyond second order need not be included in order to retrieve the most singular parts of the correlations. The reason being that all odd moments of the density are zero and all higher order even moments are less singular than the quadratic moment. The implications of these results when used in conjunction with bosonization methods in presence of impurity backscattering is briefly discussed.
Relativistic and wide-angle corrections to galaxy power spectra
Authors: Jolicoeur Sheean , Guedezounme Sêcloka L. , Maartens Roy , Paul Pritha , Clarkson Chris , Camera Stefano 
Published: August 2024

AbstractGalaxy surveys contain information on the largest scales via wide-angle and relativistic contributions. By combining two different galaxy populations, we can suppress the strong cosmic variance on ultra-large scales and thus enhance the detectability of the signals. The relativistic Doppler and Sachs-Wolfe effects are of a similar magnitude to the leading wide-angle corrections, so that it is important to treat them together, especially since they can partially cancel. The power spectra depend on the choice of line of sight for each galaxy pair and we present results for a general line of sight. Then we estimate the detection significance of the auto- and cross-power spectra for a variety of cases. We use two futuristic galaxy samples based on a `beyond-DESI' survey and a SKA Phase 2 survey, covering 15,000 deg2up toz=1. We find a detection significance for the total relativistic wide-angle effects that ranges from ~ 5σto >15σ, depending on the line-of-sight configuration.
Cosmic birefringence by dark photon
Authors: Lee Sung Mook , Kang Dong Woo , Gong Jinn-Ouk , Jeong Donghui , Jung Dong-Won , Park Seong Chan 
Published: August 2024

Abstract
We study the kinetic mixing between the cosmic microwave background (CMB) photon and the birefringent dark photon. These birefringent dark photon may exist in parity-violating dark sector, for example, through the coupling to axion field.
We show that the birefringence of the dark photon propagates to the CMB photon, but the resulting birefringence may not be isotropic over the sky, but will be anisotropic in general.
Moreover, our investigation sheds light on the essential role played by kinetic mixing in the generation of two fundamental characteristics of the CMB: circular polarization and spectral distortion.
Constraints on the energy spectrum of the diffuse cosmic neutrino flux from the ANTARES neutrino telescope
Authors: Albert A. , Alves S. , André M. , Ardid M. , Ardid S. , Aubert J.-J. , Aublin J. , Baret B. , Basa S. , Becherini Y. , Belhorma B. , Bendahman M. , Benfenati F. , Bertin V. , Biagi S. , Boumaaza J. , Bouta M. , Bouwhuis M.C. , Brânzaş H. , Bruijn R. , Brunner J. , Busto J. , Caiffi B. , Calvo D. , Campion S. , Capone A. , Carenini F. , Carr J. , Carretero V. , Cartraud T. , Celli S. , Cerisy L. , Chabab M. , Cherkaoui El Moursli R. , Chiarusi T. , Circella M. , Coelho J.A.B. , Coleiro A. , Coniglione R. , Coyle P. , Creusot A. , Díaz A.F. , De Martino B. , Distefano C. , Di Palma I. , Donzaud C. , Dornic D. , Drouhin D. , Eberl T. , Eddymaoui A. , van Eeden T. , van Eijk D. , El Hedri S. , El Khayati N. , Enzenhöfer A. , Fermani P. , Ferrara G. , Filippini F. , Fusco L.A. , Gagliardini S. , García J. , Gatius Oliver C. , Gay P. , Geißelbrecht N. , Glotin H. , Gozzini R. , Gracia Ruiz R. , Graf K. , Guidi C. , Haegel L. , van Haren H. , Heijboer A.J. , Hello Y. , Hennig L. , Hernández-Rey J.J. , Hößl J. , Huang F. , Illuminati G. , Jisse-Jung B. , de Jong M. , de Jong P. , Kadler M. , Kalekin O. , Katz U. , Kouchner A. , Kreykenbohm I. , Kulikovskiy V. , Lahmann R. , Lamoureux M. , Lazo A. , Lefèvre D. , Leonora E. , Levi G. , Le Stum S. , Loucatos S. , Manczak J. , Marcelin M. , Margiotta A. , Marinelli A. , Martínez-Mora J.A. , Migliozzi P. , Moussa A. , Muller R. , Navas S. , Nezri E. , Ó Fearraigh B. , Oukacha E. , Păun A. , Păvălaş G.E. , Peña-Martínez S. , Perrin-Terrin M. , Piattelli P. , Poirè C. , Popa V. , Pradier T. , Randazzo N. , Real D. , Riccobene G. , Romanov A. , Sánchez Losa A. , Saina A. , Salesa Greus F. , Samtleben D.F.E. , Sanguineti M. , Sapienza P. , Schüssler F. , Seneca J. , Spurio M. , Stolarczyk Th. , Taiuti M. , Tayalati Y. , Vallage B. , Vannoye G. , Van Elewyck V. , Viola S. , Vivolo D. , Wilms J. , Zavatarelli S. , Zegarelli A. , Zornoza J.D. , Zúñiga J. ,   The ANTARES collaboration
Published: August 2024

Abstract
High-significance evidences of the existence of a high-energy diffuse flux of cosmic neutrinos have emerged in the last decade from several observations by the IceCube Collaboration. The ANTARES neutrino telescope took data for 15 years in the Mediterranean Sea, from 2007 to 2022, and collected a high-purity all-flavour neutrino sample. The search for a diffuse cosmic neutrino signal using this dataset is presented in this article. This final analysis did not provide a statistically significant observation of the cosmic diffuse flux. However, this is converted into limits on the properties of the cosmic neutrino spectrum. In particular, given the sensitivity of the ANTARES neutrino telescope between 1 and 50 TeV, constraints on single-power-law hypotheses are derived for the cosmic diffuse flux below 20 TeV, especially for power-law fits of the IceCube data with spectral index softer than 2.8.
Ultrasound pulse repetition frequency preferentially activates different neuron populations independent of cell type
Authors: Sherman Jack , Bortz Emma , Antonio Erynne San , Tseng Hua-an , Raiff Laura , Han Xue 
Published: August 2024

Abstract

Objective. Transcranial ultrasound (US) stimulation serves as an external input to a neuron, and thus the evoked response relies on neurons’ intrinsic properties. Neural activity is limited to a couple hundred hertz and often exhibits preference to input frequencies. Accordingly, US pulsed at specific physiologic pulse repetition frequencies (PRFs) may selectively engage neurons with the corresponding input frequency preference. However, most US parametric studies examine the effects of supraphysiologic PRFs. It remains unclear whether pulsing US at different physiologic PRFs could activate distinct neurons in the awake mammalian brain. Approach. We recorded cellular calcium responses of individual motor cortex neurons to US pulsed at PRFs of 10, 40, and 140 Hz in awake mice. We compared the evoked responses across these PRFs in the same neurons. To further understand the cell-type dependent effects, we categorized the recorded neurons as parvalbumin positive fast spiking interneurons or putative excitatory neurons and analyzed single-cell mechanosensitive channel expression in mice and humans using the Allen Brain Institute’s RNA-sequencing databases. Main results. We discovered that many neurons were preferentially activated by only one PRF and different PRFs selectively engaged distinct neuronal populations. US-evoked cellular calcium responses exhibited the same characteristics as those naturally occurring during spiking, suggesting that US increases intrinsic neuronal activity. Furthermore, evoked responses were similar between fast-spiking inhibitory neurons and putative excitatory neurons. Thus, variation in individual neuron’s cellular properties dominates US-evoked response heterogeneity, consistent with our observed cell-type independent expression patterns of mechanosensitive channels across individual neurons in mice and humans. Finally, US transiently increased network synchrony without producing prolonged over-synchronization that could be detrimental to neural circuit functions. Significance. These results highlight the feasibility of activating distinct neuronal subgroups by varying PRF and the potential to improve neuromodulation effects by combining physiologic PRFs.
Nonlinear model predictive control of a conductance-based neuron model via data-driven forecasting
Authors: Fehrman Christof , Daniel Meliza C 
Published: August 2024

Abstract

Objective. Precise control of neural systems is essential to experimental investigations of how the brain controls behavior and holds the potential for therapeutic manipulations to correct aberrant network states. Model predictive control, which employs a dynamical model of the system to find optimal control inputs, has promise for dealing with the nonlinear dynamics, high levels of exogenous noise, and limited information about unmeasured states and parameters that are common in a wide range of neural systems. However, the challenge still remains of selecting the right model, constraining its parameters, and synchronizing to the neural system. Approach. As a proof of principle, we used recent advances in data-driven forecasting to construct a nonlinear machine-learning model of a Hodgkin–Huxley type neuron when only the membrane voltage is observable and there are an unknown number of intrinsic currents. Main Results. We show that this approach is able to learn the dynamics of different neuron types and can be used with model predictive control (MPC) to force the neuron to engage in arbitrary, researcher-defined spiking behaviors. Significance. To the best of our knowledge, this is the first application of nonlinear MPC of a conductance-based model where there is only realistically limited information about unobservable states and parameters.
Development of a stereo-EEG based seizure matching system for clinical decision making in epilepsy surgery
Authors: Thomas John , Abdallah Chifaou , Jaber Kassem , Khweileh Mays , Aron Olivier , Doležalová Irena , Gnatkovsky Vadym , Mansilla Daniel , Nevalainen Päivi , Pana Raluca , Schuele Stephan , Singh Jaysingh , Suller-Marti Ana , Urban Alexandra , Hall Jeffery , Dubeau François , Maillard Louis , Kahane Philippe , Gotman Jean , Frauscher Birgit 
Published: August 2024

Abstract

Objective. The proportion of patients becoming seizure-free after epilepsy surgery has stagnated. Large multi-center stereo-electroencephalography (SEEG) datasets can allow comparing new patients to past similar cases and making clinical decisions with the knowledge of how cases were treated in the past. However, the complexity of these evaluations makes the manual search for similar patients impractical. We aim to develop an automated system that electrographically and anatomically matches seizures to those in a database. Additionally, since features that define seizure similarity are unknown, we evaluate the agreement and features among experts in classifying similarity. Approach. We utilized 320 SEEG seizures from 95 consecutive patients who underwent epilepsy surgery. Eight international experts evaluated seizure-pair similarity using a four-level similarity score. As our primary outcome, we developed and validated an automated seizure matching system by employing patient data marked by independent experts. Secondary outcomes included the inter-rater agreement (IRA) and features for classifying seizure similarity. Main results. The seizure matching system achieved a median area-under-the-curve of 0.76 (interquartile range, 0.1), indicating its feasibility. Six distinct seizure similarity features were identified and proved effective: onset region, onset pattern, propagation region, duration, extent of spread, and propagation speed. Among these features, the onset region showed the strongest correlation with expert scores (Spearman’s rho = 0.75, p< 0.001). Additionally, the moderate IRA confirmed the practicality of our approach with an agreement of 73.9% (7%), and Gwet’s kappa of 0.45 (0.16). Further, the interoperability of the system was validated on seizures from five centers. Significance. We demonstrated the feasibility and validity of a SEEG seizure matching system across patients, effectively mirroring the expertise of epileptologists. This novel system can identify patients with seizures similar to that of a patient being evaluated, thus optimizing the treatment plan by considering the results of treating similar patients in the past, potentially improving surgery outcome.
Kinetic profile inference with outlier detection using support vector machine regression and Gaussian process regression
Authors: Kim Minseok , Ko W.H. , Kwak Sehyun , Joung Semin , Lee Wonjun , Kim B. , Kim D. , Lee J.H. , Sung Choongki , Na Yong-Su , Ghim Y.-C. 
Published: August 2024

Abstract
We propose an outlier-resilient Gaussian process regression (GPR) model supported by support vector machine regression (SVMR) for kinetic profile inference. GPR, being a non-parametric regression using Bayesian statistics, has advantages in that it imposes no constraints on profile shapes and can be readily used to integrate different kinds of diagnostics, while it is vulnerable to the presence of even a single outlier among a measured dataset. As an outlier classifier, an optimized SVMR is developed based only on the measurements. Hyper-parameters of the developed GPR model with informative prior distributions are treated in two different ways, i.e. maximum a posteriori (MAP) estimator and marginalization using a Markov Chain Monte Carlo sampler. Our SVMR-supported GPR model is applied to infer ion temperature Ti
profiles using measured data from the KSTAR charge exchange spectroscopy system. The GPR-inferred Ti
profiles with and without an outlier are compared and show prominent improvement when the outlier is removed by the SVMR. Ti
profiles inferred with the MAP estimator and the marginalization scheme are compared. They are noticeably different when observation uncertainties are not small enough, and the marginalization scheme generally provides a smoother profile.
Experimental apparatus for condensed excited hydrogen research
Authors: Zeiner-Gundersen S.A. , Olafsson S. 
Published: August 2024

Abstract
In this article, we report on a versatile experimental instrument for the study of hydrogen, condensed excited hydrogen, and hydrogen Rydberg matter, charged particles, and radiation from these systems. The system allows researchers to attach different detectors to the chamber to study condensed hydrogen, Rydberg matter, or excited hydrogen under different conditions. We show how the system is used to excite hydrogen to Rydberg atoms while monitoring Rydberg states using lasers and time-of-flight (TOF) on ions with radiation monitoring. We verify some of the work on using clustered hydrogen and laser to accelerate particles from rest to relativistic velocity. The experimental setup is an advanced replication of the reactor and detection system setup reported by researchers from Goteborg University. This experimental instrument can be used to replicate more of the work performed by the research group at Gothenburg University on Rydberg Matter, charged-particle acceleration, and experiments on ultra-dense hydrogen (UDH).
Validated 3D finite-element model of the Risso’s dolphin (Grampus griseus) head anatomy demonstrates gular sound reception and channelling through the mandibular fats
Authors: Wei Chong , Erbe Christine , Smith Adam B , Yang Wei-Cheng 
Published: August 2024

Abstract
Like other odontocetes, Risso’s dolphins actively emit clicks and passively listen to the echoes during echolocation. However, the head anatomy of Risso’s dolphins differs from that of other odontocetes by a unique vertical cleft along the anterior surface of the forehead and a differently-shaped lower jaw. In this study, 3D finite-element sound reception and production models were constructed based on computed tomography (CT) data of a deceased Risso’s dolphin. Our results were verified by finding good agreement with experimental measurements of hearing sensitivity. Moreover, the acoustic pathway for sounds to travel from the seawater into the dolphin’s tympanoperiotic complexes (TPCs) was computed. The gular reception mechanism, previously discovered in Delphinus delphis and Ziphius cavirostris, was also found in this species. The received sound pressure levels and relative displacement at TPC surfaces were compared between the cases with and without the mandibular fats or mandible. The results demonstrate a pronounced wave-guiding role of the mandibular fats and a limited bone-conductor role of the mandible. For sound production modelling, we digitally filled the cleft with neighbouring soft tissues, creating a hypothetical ‘cleftless’ head. Comparison between sound travelling through a ‘cleftless’ head vs. an original head indicates that the distinctive cleft plays a limited role in biosonar sound propagation.
Symmetries for the 4HDM: II. Extensions by rephasing groups
Authors: Shao Jiazhen , Ivanov Igor P , Korhonen Mikko 
Published: August 2024

Abstract
We continue classification of finite groups which can be used as symmetry group of the scalar sector of the four-Higgs-doublet model (4HDM). Our objective is to systematically construct non-abelian groups via the group extension procedure, starting from the abelian groups A and their automorphism groups

Aut

(
A
)

. Previously, we considered all cyclic groups A available for the 4HDM scalar sector. Here, we further develop the method and apply it to extensions by the remaining rephasing groups A, namely

A
=

Z

2

×

Z

2

,

Z

4

×

Z

2

, and

Z

2

×

Z

2

×

Z

2

. As

Aut

(
A
)

grows, the procedure becomes more laborious, but we prove an isomorphism theorem which helps classify all the options. We also comment on what remains to be done to complete the classification of all finite non-abelian groups realizable in the 4HDM scalar sector without accidental continuous symmetries.