bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring mirror twin Higgs cosmology with present and future weak lensing surveys
Authors: Zu Lei , Zhang Chi , Chen Hou-Zun , Wang Wei , Tsai Yue-Lin Sming , Tsai Yuhsin , Luo Wentao , Fan Yi-Zhong 
Published: August 2023

Abstract
We explore the potential of precision cosmological data to study non-minimal dark sectors
by updating the cosmological constraint on the mirror twin Higgs model (MTH). The MTH model
addresses the Higgs little hierarchy problem by introducing dark sector particles. In this work,
we perform a Bayesian global analysis that includes the latest cosmic shear measurement from the
DES three-year survey and the Planck CMB and BAO data. In the early Universe, the mirror baryon
and mirror radiation behave as dark matter and dark radiation, and their presence modifies the
Universe's expansion history. Additionally, the scattering between mirror baryon and photon
generates the dark acoustic oscillation process, suppressing the matter power spectrum from the
cosmic shear measurement. We demonstrate how current data constrain these corrections to the
ΛCDM cosmology and find that for a viable solution to the little hierarchy problem, the
proportion of MTH dark matter cannot exceed about 30% of the total dark matter density, unless
the temperature of twin photon is less than 30% of that of the standard model photon. While the
MTH model is presently not a superior solution to the observed H
0 tension compared to the
ΛCDM+ΔN
eff model, we demonstrate that it has the potential to alleviate
both the H
0 and S
8 tensions, especially if the S
8 tension persists in the future and
approaches the result reported by the Planck SZ (2013) analysis. In this case, the MTH model can
relax the tensions while satisfying the DES power spectrum constraint up to k ≲ 10 hMpc-1. If the MTH model is indeed accountable for the S
8 and H
0 tensions, we show that
the future China Space Station Telescope (CSST) can determine the twin baryon abundance with a
10% level precision.
WIMPs in dilatonic Einstein Gauss-Bonnet cosmology
Authors: Biswas Anirban , Kar Arpan , Lee Bum-Hoon , Lee Hocheol , Lee Wonwoo , Scopel Stefano , Velasco-Sevilla Liliana , Yin Lu 
Published: August 2023

Abstract
We use the Weakly Interacting Massive Particle (WIMP) thermal decoupling scenario to probe Cosmologies in dilatonic Einstein Gauss-Bonnet (dEGB) gravity, where the Gauss-Bonnet term is non-minimally coupled to a scalar field with vanishing potential.
We put constraints on the model parameters when the ensuing modified cosmological scenario drives the WIMP annihilation cross section beyond the present bounds from DM indirect detection searches. In our analysis we assumed WIMPs that annihilate to Standard Model particles through an s-wave process.
For the class of solutions that comply with WIMP indirect detection bounds, we find that dEGB typically plays a mitigating role on the scalar field dynamics at high temperature, slowing down the speed of its evolution and reducing the enhancement of the Hubble constant compared to its standard value. For such solutions, we observe that the corresponding boundary conditions at high temperature correspond asymptotically to a vanishing deceleration parameter q, so that the effect of dEGB is to add an accelerating term that exactly cancels the deceleration predicted by General Relativity.
The bounds from WIMP indirect detection are nicely complementary to late-time constraints from compact binary mergers. This suggests that it could be interesting to use other Early Cosmology processes to probe the dEGB scenario.
A method for evaluating the force factor in oscillating Kibble balances with application to the Planck-Balance
Authors: Rothleitner Ch , Poroskun I , Svitlov S , Kloß J , Konrad J 
Published: August 2023

Abstract
The Planck-Balance is a table-top version of a Kibble balance, developed in a collaboration between the PTB and TU Ilmenau. In contrast to most Kibble balances, where the motion range is of up to several centimeters in the velocity mode, in the Planck-Balance it is below 100 μm. For a reliable determination of the force factor, the voice coil is set into harmonic oscillation, resulting in an induced AC voltage. The amplitude of the first harmonic is then taken to determine the force factor. However, due to the non-linear magnetic field across the motion range, the first harmonic is subject to a bias, and higher harmonics are excited. Those higher harmonics contain the information about the relative magnitude of the bias in the first harmonic, and can be used for a correction. In this paper we present an analytical model and show its application with real measurements. The estimated relative bias amounts to

−
6.3
⋅

10

−
6

, with a residual relative uncertainty of

6.3
⋅

10

−
7

, for an oscillation amplitude of 20 μm. This method is especially of importance for Kibble balances with short motion range and working with harmonic oscillation. After such a correction is applied, a table-top version of a Kibble balance can be used as a conventional balance calibrated by means of E2 mass standards in the whole E2 class mass range.
Consistent control information driven musculoskeletal model for multiday myoelectric control
Authors: Zhao Jiamin , Yu Yang , Sheng Xinjun , Zhu Xiangyang 
Published: August 2023

Abstract

Objective. Musculoskeletal model (MM)-based myoelectric interface has aroused great interest in human-machine interaction. However, the performance of electromyography (EMG)-driven MM in long-term use would be degraded owing to the inherent non-stationary characteristics of EMG signals. Here, to improve the estimation performance without retraining, we proposed a consistent muscle excitation extraction approach based on an improved non-negative matrix factorization (NMF) algorithm for MM when applied to simultaneous hand and wrist movement prediction. Approach. We added constraints and L
2-norm regularization terms to the objective function of classic NMF regarding muscle weighting matrix and time-varying profiles, through which stable muscle synergies across days were identified. The resultant profiles of these synergies were then used to drive the MM. Both offline and online experiments were conducted to evaluate the performance of the proposed method in inter-day scenarios. Main results. The results demonstrated significantly better and more robust performance over several competitive methods in inter-day experiments, including machine learning methods, EMG envelope-driven MM, and classic NMF-based MM. Furthermore, the analysis of control information on different days revealed the effectiveness of the proposed method in obtaining consistent muscle excitations. Significance. The outcomes potentially provide a novel and promising pathway for the robust and zero-retraining control of myoelectric interfaces.
Error detection and correction in intracortical brain–machine interfaces controlling two finger groups
Authors: Wallace Dylan M , Benyamini Miri , Nason-Tomaszewski Samuel R , Costello Joseph T , Cubillos Luis H , Mender Matthew J , Temmar Hisham , Willsey Matthew S , Patil Parag G , Chestek Cynthia A , Zacksenhouse Miriam 
Published: August 2023

Abstract

Objective. While brain–machine interfaces (BMIs) are promising technologies that could provide direct pathways for controlling the external world and thus regaining motor capabilities, their effectiveness is hampered by decoding errors. Previous research has demonstrated the detection and correction of BMI outcome errors, which occur at the end of trials. Here we focus on continuous detection and correction of BMI execution errors, which occur during real-time movements. Approach. Two adult male rhesus macaques were implanted with Utah arrays in the motor cortex. The monkeys performed single or two-finger group BMI tasks where a Kalman filter decoded binned spiking-band power into intended finger kinematics. Neural activity was analyzed to determine how it depends not only on the kinematics of the fingers, but also on the distance of each finger-group to its target. We developed a method to detect erroneous movements, i.e. consistent movements away from the target, from the same neural activity used by the Kalman filter. Detected errors were corrected by a simple stopping strategy, and the effect on performance was evaluated. Main
results. First we show that including distance to target explains significantly more variance of the recorded neural activity. Then, for the first time, we demonstrate that neural activity in motor cortex can be used to detect execution errors during BMI controlled movements. Keeping false positive rate below

5
%

, it was possible to achieve mean true positive rate of

28.1
%

online. Despite requiring 200 ms to detect and react to suspected errors, we were able to achieve a significant improvement in task performance via reduced orbiting time of one finger group. Significance. Neural activity recorded in motor cortex for BMI control can be used to detect and correct BMI errors and thus to improve performance. Further improvements may be obtained by enhancing classification and correction strategies.
Qualification of piezo-electric actuators for the MADMAX booster system at cryogenic temperatures and high magnetic fields
Authors: Garutti E. , Janssen H. , Kreikemeyer-Lorenzo D. , Krieger C. , Lindner A. , Majorovits B. , Schaffran J. , van Bree B. 
Published: August 2023

Abstract
We report on the qualification of a piezo-based linear stage
for the manipulation of positions of dielectric discs in the booster
of the MADMAX axion dark matter search experiment. A first
demonstrator of the piezo drives, specifically developed for MADMAX,
was tested at room temperature as well as at cryogenic temperatures
down to 4.5 K and inside strong magnetic fields up to 5.3 T. These
qualification measurements prove that the piezo-based linear stage
is suited for MADMAX and fulfills the requirements.
Development of DSP-based TPS fully digital correction magnet power supply
Authors: Wang Baosheng , Liu Kuobin , Wong Yongseng 
Published: August 2023

Abstract
The Taiwan Photon Source (TPS) is a third-generation 3 GeV
synchrotron accelerator light source. After successfully operating
for ten years since its first light in 2013, various subsystems are
undergoing updates. In the context of magnet power supply upgrades,
the trend toward digitization and high-precision modulation control
is driving advancements worldwide. This study focuses on developing
a fully digital correction magnet power supply (FDCMPS) based on a
digital signal processor (DSP). The prototype utilizes a low-power,
floating-point DSP with multiple communication functionalities as
the core control unit. The output current is converted into digital
values using current sensors and high-precision analog-to-digital
converters. Discrete PI compensator algorithms are implemented
within the DSP to generate pulse-width modulation (PWM) waveforms,
driving a full-bridge (H-bridge) converter configuration with
metal-oxide-semiconductor field-effect transistors (MOSFET). This
forms a complete, fully digital closed-loop current control
system. A virtual control interface is designed to operate the
FDCMPS state. The control loop design of the prototype has been
validated and demonstrates stable output bipolar current
performance. When tested with a 0.1 V input reference signal, the
prototype achieves a -3 dB bandwidth of 2.03 kHz. Finally, a
hardware prototype circuit was constructed in the power supply
laboratory, with an input voltage of 48 V, an output current of
10 A, and a maximum power of 400 W. Overall, the developed fully
digital correction magnet power supply prototype showcases stable
and high-performance output bipolar current performance. The system
achieves total harmonic distortion of output current ripple within
0.3 mA peak to peak and long-term stability within ±
15 ppm. The successful implementation of the prototype establishes
a solid foundation for advancing magnet power supply technology at
the TPS.
A chemodynamic nanoenzyme with highly efficient Fenton reaction for cancer therapy
Authors: Qiao Lihong , Li Xiaoxia , Wei Chuanqi , Li Zhongjun , Han Shisong , Cheng Du 
Published: August 2023

Abstract
Chemodynamic therapy (CDT) is a rising technology for cancer therapy by converting intracellular hydrogen peroxide (H2O2) into hydroxyl radical (•OH) via transition-metal-containing nanoparticles (NPs) catalysis reaction (i.e. Fenton reaction) to kill tumor cells. Highly efficient Fenton reaction and favorable delivery of the catalytic NPs ‘nanoenzyme’ are the key for successful treatment of cancer. In this work, we developed a novel nanoenzyme MnFe2O4@GFP for in vitro and in vivo antitumor therapy. A new MnFe2O4 nanoparticle containing two transition-metal-element Fe and Mn was synthesized for enhanced Fenton reaction and used to co-deliver protein with high biocompatibility through post-modification with dopamine polymerization, green fluorescent protein adsorption, and PEG coating. The enrichment of H2O2 and glutathione (GSH) in tumor tissue provided a favorable microenvironment for in situ generation of toxic free radicals. Fe3+ and GSH triggered a redox reaction to produce Fe2+, which in turn catalyzed H2O2 into •OH, with the consumption of antioxidant GSH. By combining Fe3+ with another catalyzer, the catalytic efficiency of the nanoenzyme were greatly improved. Consequently, the nanoenzyme showed efficient antitumor ability both in vitro and in vivo. Thus, the multifunctional CDT nanoenzyme platform shows great promising for antitumor therapy through the combination of catalyzers Fe3+ and Mn2+ and codelivery of protein cargo.
The q-Racah polynomials from scalar products of Bethe states
Authors: Baseilhac Pascal , Pimenta Rodrigo A 
Published: August 2023

Abstract
The q-Racah polynomials are expressed in terms of certain ratios of scalar products of Bethe states associated with Bethe equations of either homogeneous or inhomogeneous type. This result is obtained by combining the theory of Leonard pairs and the modified algebraic Bethe ansatz.
One-dimensional scattering of fermions in double Dirac delta potentials
Authors: Santamaría-Sanz L 
Published: August 2023

Abstract
The spectrum of bound and scattering states of the one dimensional Dirac Hamiltonian describing fermions distorted by a static background built from two Dirac delta potentials is studied. A distinction will be made between ‘mass-spike’ and ‘electrostatic’ δ-potentials. The second quantisation is then performed to promote the relativistic quantum mechanical problem to a relativistic quantum field theory and study the quantum vacuum interaction energy for fermions confined between opaque plates. The work presented here is a continuation of (Guilarte et al 2019 Front. Phys.
7 109).
Memory efficient Fock-space recursion scheme for computing many-fermion resolvents
Authors: Prabhakar  , Mukherjee Anamitra 
Published: August 2023

Abstract
A fundamental roadblock to the exact numerical solution of many-fermion problems is the exponential growth of the Hilbert space with system size. It manifests as extreme dynamical memory and computation-time requirements for simulating many-fermion processes. Here we construct a novel reorganization of the Hilbert space to establish that the exponential growth of dynamical-memory requirement is suppressed inversely with system size in our approach. Consequently, the state-of-the-art resolvent computation can be performed with substantially less memory. The memory-efficiency does not rely on Hamiltonian symmetries, sparseness, or boundary conditions and requires no additional memory to handle long-range density-density interaction and hopping. We provide examples calculations of interacting fermion ground state energy, the many-fermion density of states and few-body excitations in interacting ground states in one and two dimensions.
Nonequilibrium phase transitions in metapopulation models of infectious diseases on heterogeneous networks
Authors: Kwon Sungchul , Park Jeong-Man 
Published: August 2023

Abstract
We study two meta-population models of infectious diseases in heterogeneous networks. We distinguish between asymptomatic and symptomatic infections and these two go through the different courses of infection and recovery. We consider that asymptomatic infections are described by an SIS model and symptomatic infections by an SIR or SIRS model depending on the immunity upon recovery. By introducing the probability of being infected asymptomatically, we combine an SIS model for asymptomatic infections with an SIR or SIRS model for symptomatic infections to obtain the SIS-SIR and SIS-SIRS models. We use a heterogeneous mean-field theory and Monte Carlo simulations to analyze two models and find that both models undergo nonequilibrium continuous phase transitions from the endemic phase to the disease-free phase at certain critical thresholds as we vary the proportion of asymptomatic infections. It suggests that it may be possible to maintain the population in the disease-free phase by controlling the proportion of asymptomatic infections. The SIS-SIRS model shows that asymptomatic infection drives symptomatic infection and vice versa. In addition, the spreading of infections eventually ceases as the population decreases even at a fixed proportion of asymptomatic infections corresponding to the endemic phase. The results provide a theoretical basis for understanding the epidemiological facts that social distancing and reducing asymptomatic infections are important factors in optimizing quarantine measures to prevent the epidemic outbreaks of infectious diseases.
A low-cost internal standard loader for solid-phase sorbing tools
Authors: Vivaldi F M , Reale S , Ghimenti S , Biagini D , Lenzi A , Lomonaco T , Di Francesco F 
Published: August 2023

Abstract
Solid-phase sorption is widely used for the analysis of gaseous specimens as it allows at the same time to preconcentrate target analytes and store samples for relatively long periods. The addition of internal standards (ISs) in the analytical workflow can greatly reduce the variability of the analyses and improve the reliability of the protocols. In this work, we describe the development and testing of a portable system for the reliable production of gaseous mixture of 8D-Toluene in a 1L Silonite canister as well as its reproducible loading into solid-phase sorbing tools as ISs. The portable system was tested using needle trap microextraction, solid-phase extraction, and thin-film microextraction techniques commonly employed for the analysis of gaseous samples. Even though our specific interest is in breath analysis, the system can also be used for the collection of any kind of gaseous specimen. A microcontroller allows the fine control of the sampling flow by a digital mass flow controller. Flow rate and sample volume could be set either through a rotary encoder mounted onto the control board or through a dedicated android app. The variability of the airflow is in the range 5–200 ml min−1 and it is lower than 1%, whereas the variability of the IS (8D-Toluene) concentration dispensed over time by the loader measured by selected-ion flow-tube mass spectrometry (MS) is <3%. This combination resulted in intra- and inter-day precision of the amount loaded in the sorbent tools lower than 15%. No carry-over was detected in the loader after the delivery of the 8D-Toluene measured by gas chromatography–MS. The 8D-Toluene concentration in the canister was stable for up to three weeks at room temperature.
Effects of fiber loadings and lengths on mechanical properties of Sansevieria Cylindrica fiber reinforced natural rubber biocomposites
Authors: Palanisamy Sivasubramanian , Kalimuthu Mayandi , Dharmalingam Shanmugam , Alavudeen Azeez , Nagarajan Rajini , Ismail Sikiru Oluwarotimi , Siengchin Suchart , Mohammad Faruq , Al-Lohedan Hamad A 
Published: August 2023

Abstract
In this present investigation, Sansevieria cylindrica fiber was used as a reinforcement in a natural rubber matrix. Various biocomposite samples with different fiber contents (lengths and loadings) were fabricated, using compression molding process and vulcanizing technique by maintaining the temperature around 150 °C. From the results obtained, mechanical properties: tensile strength, modulus elongation at break and tear strength of 10.44 MPa, 2.36 MPa, 627.59% and 34.99 N respectively, were obtained from the optimum composite sample with length and loading of 6 mm and 20 wt% composition, respectively. The maximum hardness was observed at 76.85 Shore A from the composite sample of 6 mm and 40 wt%. The optimum properties can be attributed to the presence of strong interfacial adhesion between the Sansevieria cylindrica fiber and the natural rubber matrix. The mechanisms of failure of the biocomposites at their interfaces were examined and analyzed, using scanning electron microscopy (SEM). The micrographs obtained from SEM further confirmed that the Sansevieria cylindrica fibers were surrounded with more amount of natural rubber which can exhibit strong interfacial bonding between fiber and matrix. The optimal composites of this work can be used in general, abrasion resistant conveyor belt.
Assessing the quality of large-area monolayer graphene grown on liquid copper for size-selective ionic/molecular membrane separations
Authors: Romaniak Grzegorz , Cheng Peifu , Dybowski Konrad , Kula Piotr , Kidambi Piran R 
Published: August 2023

Abstract
Monolayer graphene growth on liquid copper (Cu) has attracted attention due to advantages of a flat/smooth catalytic growth surface, high synthesis temperature (>1080 °C) as well as the possibility of forming graphene domains that are mobile on the liquid Cu with potential to minimize grain boundary defects and self-assemble into a continuous monolayer film. However, the quality of monolayer graphene grown on liquid copper and its suitability for size-selective ionic/molecular membrane separations has not been evaluated/studied. Here, we probe the quality of monolayer graphene grown on liquid Cu (via a metallurgical process, HSMG®) using Scanning Electron Microscope (SEM), High-resolution transmission electron microscope (HR-TEM), Raman spectroscopy and report on a facile approach to assess intrinsic sub-nanometer to nanometer-scale defects over centimeter-scale areas. We demonstrate high transfer yields of monolayer graphene (>93% coverage) from the growth substrate to polyimide track etched membrane (PITEM, pore diameter ∼200 nm) supports to form centimeter-scale atomically thin membranes. Next, we use pressure-driven transport of ethanol to probe defects > 60 nm and diffusion-driven transport of analytes (KCl ∼0.66 nm, L-Tryptophan ∼0.7–0.9 nm, Vitamin B12 ∼1–1.5 nm and Lysozyme ∼3.8–4 nm) to probe nanoscale and sub-nanometer scale defects. Diffusive transport confirms the presence of intrinsic sub-nanometer to nanometer scale defects in monolayer graphene grown on liquid Cu are no less than that in high-quality graphene synthesized via chemical vapor deposition (CVD) on solid Cu. Our work not only benchmarks quality of graphene grown on liquid copper for membrane applications but also provides fundamental insights into the origin of intrinsic defects in large-area graphene synthesized via bottom-up processes for membrane applications.