bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heating ability of amine functionalized Fe3O4 as a function of field amplitude and frequency for hyperthermia application
Authors: Madkhali Nawal , Alshehri Feras , Abduljawad Marwan M , Algessair Saja , Lemine O M 
Published: February 2024

Abstract
The functionalization of magnetic nanoparticles (MNPs) is crucial for their biomedical applications such as magnetic hyperthermia, which attracted attention in recent years as a promising alternative or complementary therapy to traditional cancer treatments. Here, we investigate a synthetic approach based on the hydrothermal process for the amine-functionalized magnetite (Fe3O4-NH2) MNPs for possible use in hyperthermia. The characterization of coated MNPs by FTIR confirms the functionalization with the amine group, while the XRD shows how the magnetite phase was formed. Magnetic measurements of both coated and uncoated MNPs at room temperature revealed their ferrimagnetic behavior. It was found from magnetic hyperthermia measurements under an alternating magnetic field (AMF) that functionalized with amine MNPs reach hyperthermia temperatures (42 °C)) in relatively short times (around 10 min.) with a adequate value of sample absorption rate (SAR)in the range between 33 to 45 W g–1. The (NH2) groups on the surface of the (Fe3O4) nanoparticles prepared by hydrothermal process make them amenable to further functionalization with various biomolecules. This enables the nanoparticles to be tailored for specific applications, such as drug delivery or targeting specific cells or tissues. Moreover, the appropriate crystallinity combined with the relatively adequate heating ability and adequate saturation suggest that the functionalized MNPs are promising for hyperthermia application.
Investigation of structural and electronic properties of double perovskites A2LnRuO6 (A = Ba, Ca; Ln = Eu, Dy)
Authors: Sharma Neha , Kapila Sharma Neha , Sharma Hitesh , Mudahar Isha 
Published: February 2024

Abstract
Using density functional theory, we investigated the structural, vibrational, and electronic properties of A2LnRuO6 (A = Ba, Ca; Ln = Eu, Dy) double perovskite oxides using GGA and GGA+U exchange-correlation approximations. Ba2LnRuO6 double perovskites exhibit a structure with cubic (

Fm

3

¯

m

) symmetry, whereas Ca2LnRuO6 compounds have monoclinic (P21/n) symmetry. Raman spectroscopy analysis shows stability and the presence of A1g
, E
g
and 2F2g modes for Ba2LnRuO6, while for Ca2LnRuO6, the observed Raman active modes are A
g
and B
g
. A2LnRuO6 shows semiconducting nature with an electronic band gap in the range of 1.3 eV-3.27 eV with GGA+U calculations. The spin-polarized calculations indicate the presence of strong magnetic behaviour with magnetic moment equal to 3 μ

B
/unit cell for Ba2LnRuO6 and 6 μ

B
/unit cell for Ca2LnRuO6. The spin-up and spin-down states show different band gap values so these compounds can be useful for applications in spintronics and magnetic memory devices.
Quintessence in the Weyl-Gauss-Bonnet model
Authors: Terente Díaz José Jaime , Dimopoulos Konstantinos , Karčiauskas Mindaugas , Racioppi Antonio 
Published: February 2024

Abstract
Quintessence models have been widely examined in the context of scalar-Gauss-Bonnet
gravity, a subclass of Horndeski's theory, and were proposed as viable candidates for Dark
Energy. However, the relatively recent observational constraints on the speed of gravitational
waves c
GW have resulted in many of those models being ruled out because they predict c
GW ≠ c generally. While these were formulated in the metric formalism of
gravity, we put forward a new quintessence model with the scalar-Gauss-Bonnet action but in Weyl
geometry, where the connection is not metric compatible. We find the fixed points of the dynamical
system under some assumptions and determine their stability via linear analysis. The past
evolution of the Universe can be reproduced correctly, but the late Universe constraints on c
GW are grossly violated. Moreover, at these later stages tensor modes suffer from
the gradient instabilities. We also consider the implications of imposing an additional constraint c
GW = c, but this does not lead to evolution that is consistent with
cosmological observations.
Weighted monogamy and polygamy relations
Authors: Cao Yue , Jing Naihuan , Wang Yiling 
Published: February 2024

Abstract
This research offers a comprehensive approach to strengthening both monogamous and polygamous relationships within the context of quantum correlations in multipartite quantum systems. We present the most stringent bounds for both monogamy and polygamy in multipartite systems compared to recently established relations. We show that whenever a bound is given (named it monogamy or polygamy), our bound indexed by some parameter s will always be stronger than the given bound. The study includes detailed examples, highlighting that our findings exhibit greater strength across all existing cases in comparison.
Accelerating P300-based neurofeedback training for attention enhancement using iterative learning control: a randomised controlled trial
Authors: Noble S-C , Woods E , Ward T , Ringwood J V 
Published: February 2024

Abstract

Objective. Neurofeedback (NFB) training through brain–computer interfacing has demonstrated efficacy in treating neurological deficits and diseases, and enhancing cognitive abilities in healthy individuals. It was previously shown that event-related potential (ERP)-based NFB training using a P300 speller can improve attention in healthy adults by incrementally increasing the difficulty of the spelling task. This study aims to assess the impact of task difficulty adaptation on ERP-based attention training in healthy adults. To achieve this, we introduce a novel adaptation employing iterative learning control (ILC) and compare it against an existing method and a control group with random task difficulty variation. Approach. The study involved 45 healthy participants in a single-blind, three-arm randomised controlled trial. Each group underwent one NFB training session, using different methods to adapt task difficulty in a P300 spelling task: two groups with personalised difficulty adjustments (our proposed ILC and an existing approach) and one group with random difficulty. Cognitive performance was evaluated before and after the training session using a visual spatial attention task and we gathered participant feedback through questionnaires. Main results. All groups demonstrated a significant performance improvement in the spatial attention task post-training, with an average increase of 12.63%. Notably, the group using the proposed iterative learning controller achieved a 22% increase in P300 amplitude during training and a 17% reduction in post-training alpha power, all while significantly accelerating the training process compared to other groups. Significance. Our results suggest that ERP-based NFB training using a P300 speller effectively enhances attention in healthy adults, with significant improvements observed after a single session. Personalised task difficulty adaptation using ILC not only accelerates the training but also enhances ERPs during the training. Accelerating NFB training, while maintaining its effectiveness, is vital for its acceptability by both end-users and clinicians.
Compressive sensing of complex-valued data using Gaussian entropy
Authors: Shen Yibing 
Published: February 2024

Abstract
In this paper, we propose an effective compressive sensing algorithm based on Gaussian entropy for complex-data. Compared with the traditional mean squared error (MSE) method, we consider the full second order statistics information of Gaussian noise in the new algorithm, including relevant information and conjugate information, which makes the recovered signal closer to the original input signal. Simulation results of the synthesized 1D signal and 2D signal show that the proposed algorithm has better performance than the MSE method.
An open-sorce IP-Core for Multi-Voltage Thresholding signal acquisition with FPGAs
Authors: Eliseev D. , Ehlert E. , Hebbeker T. , Merschmeyer M. , Presser C. 
Published: February 2024

Abstract
High-speed multichannel ADCs are costly and require complex FPGA or MCU firmware to communicate with them. The Multi-Voltage Thresholding (MVT) approach can replace to some extent an external ADC by harnessing the internal FPGA resources, thus reducing costs and complexity. The MVT approach needs only a few low-cost external components. The focus of the contribution is presenting an open-source IP-Core that implements the MVT approach and simplifies its implementation on a standard FPGA. The contribution also provides an overview of characterization measurements and specific calibration method. Our example application demonstrates the viability of the developed IP-Core for signal acquisition from multiple SiPMs.
Simulation and first characterization of MAPS test structures with gain for timing applications
Authors: Corradino T. , Neubüser C. , Giovanazzi G. , Andrini G. , Ferrero C. , Gioachin G. , Durando S. , Follo U. , Dalla Betta G.F. , Mandurrino M. , Pancheri L. ,   the ARCADIA collaboration
Published: February 2024

Abstract
Thanks to their advantages in terms of easiness of manufacturing and reduced production costs, Monolithic Active Pixel Sensors (MAPS) represent an appealing solution for radiation imaging applications, which require to cover large areas with pixelated detectors. In the next upgrade of the ALICE detector, that will have to deal with the higher event rate resulting from the planned increase in the LHC luminosity, it is foreseen to include two additional sensor layers to perform Time of Flight (ToF) measurements. Trying to reach the challenging timing resolution required by the ALICE ToF layers, an internal gain layer has been included in the test structures of the third engineering run of the ARCADIA project to improve the timing performance of this MAPS technology. In the paper we will present an overview of the main results obtained from the electrical and the dynamic characterization of the fabricated devices, which have been compared with the behavior expected from the preliminary TCAD simulations carried out in the design phase. The experimental results confirmed the feasibility of embedding a gain layer in the ARCADIA 110 nm CMOS technology to develop monolithic LGADs.
Study of bulk damage of high dose gamma irradiated p-type silicon diodes with various resistivities
Authors: Zatocilova I. , Mikestikova M. , Latonova V. , Kroll J. , Privara R. , Novotny P. , Dudas D. , Kvasnicka J. 
Published: February 2024

Abstract
The bulk damage of p-type silicon detectors caused by high doses of gamma irradiation has been studied. The study was carried out on three types of n+-in-p silicon diodes with comparable geometries but different initial resistivities. This allowed to determine how different initial parameters of studied samples influence radiation-induced changes in the measured characteristics. The diodes were irradiated by a Cobalt-60 gamma source to total ionizing doses ranging from 0.50 up to 8.28 MGy, and annealed for 80 minutes at 60 °C. The Geant4 toolkit for simulation of the passage of particles through matter was used to simulate the deposited energy homogeneity, to verify the equal distribution of total deposited energies through all the layers of irradiated samples, and to calculate the secondary electron spectra in the irradiation box. The main goal of the study was to characterize the gamma-radiation induced displacement damage by measuring current-voltage characteristics (IV), and the evolution of the full depletion voltage (V
FD) with the total ionizing dose, by measuring capacitance-voltage characteristics (CV). It has been observed that the bulk leakage current increases linearly with total ionizing dose, and the damage coefficient depends on the initial resistivity of the silicon diode. The effective doping concentration and therefore V
FD significantly decreases with increasing total ionizing dose, before starting to increase again at a specific dose. We assume that this decrease is caused by the effect of acceptor removal. Another noteworthy observation of this study is that the IV and CV measurements of the gamma irradiated diodes do not reveal any annealing effect.
Exploring the potential of muon radiography for blast furnace assessments: advancements in
non-invasive imaging and structural analysis
Authors: Frosin C. , Ambrosino F. , Andreetto P. , Bonechi L. , Bonomi G. , Borselli D. , Bottai S. , Buhles T. , Calliari I. , Checchia P. , Chiarotti U. , Cialdai C. , Ciaranfi R. , Cimmino L. , Ciulli V. , De Seta Cosentino P.G. , D'Alessandro R. , Santos Ferreira R.P. , Finke F. , Franzen A. , Glaser B. , Gonzi S. , Lorenzon A. , Masone V. , Moroli V. , Nechyporuk O. , Paccagnella A. , Petrini R. , Pezzato L. , Rangavittal B.V. , Ressegotti D. , Saracino G. , Sauerwald J. , Starodubtsev O. , Viliani L. , Volzone F. , Vynnycky M. ,   The BLEMAB collaboration
Published: February 2024

Abstract
The BLEMAB European project (BLast furnace stack density Estimation through online Muon
ABsorption measurements), the evolution of the previous Mu-Blast European project, is designed to
investigate in detail the capability of muon radiography techniques applied to the imaging of the
inner zone of a blast furnace. In particular, the goal of this collaboration is to characterize
the internal region (so-called cohesive zone) where the slowly downward-moving material begins to
soften and melt, which plays an important role in the performance of the blast furnace itself. In
this contribution, we describe the state-of-the-art of the muon tracking system which is currently
being developed and installed at a blast furnace on the ArcelorMittal site in Bremen
(Germany). Moreover, we will present the GEANT4 simulation framework devised for this application
together with the simulation results. Finally, we will show the possible contribution of multiple
scattering effects to such peculiar applications.
Latest feasibility studies of LAPPD as a timing layer for the LHCb Upgrade 2 ECAL
Authors: Barnyakov M. , Ferrari F. , Manuzzi D. , Perazzini S. , Vagnoni V. ,   the LHCb PicoCal group
Published: February 2024

Abstract
The target of the LHCb experiment Upgrade 2 is to operate with an instantaneous luminosity
a factor seven higher than the current one to reach the ultimate precision in several domains of
its physics program. This objective challenges the development of subdetectors able to cope with
the high-occupancy regime foreseen. The time-of-arrival of the particles at the various
subdetectors is a promising new feature. Simulation studies show that, with a time resolution of
about 10–20 ps, it will be possible to exploit the time separation of the primary proton-proton
collisions and effectively mitigate the pileup. Concerning the LHCb Upgrade 2 electromagnetic
calorimeter, the “Large Area Picosecond Photo Detector” technology (LAPPD) is currently a
candidate to constitute a timing layer placed at the shower maximum.
The LAPPD is the largest microchannel-plate photomultiplier ever built, entirely made with
inexpensive materials. This paper depicts the status of the art of the ongoing R&D campaign. In
particular, four LAPPD models have been characterized so far: the Gen-I with stripline readout and
the Gen-II with external pixelated readout, both with 10 or 20 μm pore size. A time
resolution close to the target was measured with test beams at DESY (electrons from 1 to 5.8 GeV)
and SPS (electrons from 20 to 100 GeV). The radiation hardness of the MCP layers was stressed and
verified up to 1016 protons/cm2 at CERN IRRAD facility and 300 C/cm2 using a UV lamp in
the laboratory. The performances at high rates were investigated with two lasers (λ =
405 nm): they will be crucial for the upcoming development steps.
Tunneling in soft waveguides: closing a book
Authors: Exner Pavel , Spitzkopf David 
Published: February 2024

Abstract
We investigate the spectrum of a soft quantum waveguide in two dimensions of the generalized ‘bookcover’ shape, that is, Schrödinger operator with the potential in the form of a ditch consisting of a finite curved part and straight asymptotes which are parallel or almost parallel pointing in the same direction. We show how the eigenvalues accumulate when the angle between the asymptotes tends to zero. In case of parallel asymptotes the existence of a discrete spectrum depends on the ditch profile. We prove that it is absent in the weak-coupling case, on the other hand, it exists provided the transverse potential is strong enough. We also present a numerical example in which the critical strength can be assessed.
Open 2–TASEP with integrable boundaries
Authors: Cantini Luigi 
Published: February 2024

Abstract
In this paper, we explore a two-species extension of the totally asymmetric simple exclusion process (TASEP) known as ‘2–TASEP’ with open boundaries. In this model, carriers on a one-dimensional lattice exhibit distinct behaviors: loaded carriers move right, empty carriers move left, and they exchange positions at a unit rate. At the boundaries carriers are loaded at the left and unloaded at the right. We focus on the stationary state of this model. Using the integrability of this model, we introduce spectral parameters to deform it. This process uncovers an underlying algebraic structure linked to the Weyl group

C

L

. Exploiting this structure, we analytically compute the stationary state of the inhomogeneous model, which permits, after spectral parameter specialization, to derive the exact average particle current of the original 2–TASEP.
Anomalous non-Gaussian diffusion of scaled Brownian motion in a quenched disorder environment
Authors: Suleiman Kheder , Li Yongge , Xu Yong 
Published: February 2024

Abstract
This paper aims to investigate particle dynamics in a random environment, subjected to power-law time-dependent temperature. To this end, the scaled Brownian motion (SBM), a stochastic process described by a diffusion equation with time-dependent diffusivity, has been studied numerically in quenched disordered systems (QDLs). Here, QDLs have been modeled by spatial correlated Gaussian random potential with an exponential normalized correlation function. Results show nonergodic non-Gaussian subdiffusion for subdiffusive SBM. While a crossover from non-Gaussian Brownian diffusion to long-time Gaussian superdiffusion has been observed for the superdiffusive SBM scenario. Furthermore, the first passage time to an object significantly depends on the governing SBM regime and its scale parameter, where the first passage time becomes faster with the increasing scale parameter. The mechanism underlying these behaviors has been uncovered numerically.
Introduction
Authors: Edelman R David 
Published: February 2024

AbstractThe introduction orients the reader on the topic of the book: state-on-state cyberattacks, which it argues are an uncommon but arguably far more significant phenomenon in the broad sweep of international security than many more commonly discussed activities, meriting deeper analysis than they have received to date. After outlining the reasons that increasing digital dependency suggests a growing motivation for and damage caused by cyberattacks, the introduction centers the work specifically on the topic of restraint. It argues that the scale of potential disruption and growing proliferation of capabilities creates an imperative to understand what current evidence shows might cause a state to rethink an otherwise potentially rational choice to conduct a cyberattack against an opponent. It concludes by providing an overview of the book’s main argument and structure.
Furthering Scientific Inquiry for Weight Loss Maintenance: Assessing the Psychological Processes Impacted by a Low intensity Technology-Assisted Intervention (NULevel Trial)
Authors: Joyal-Desmarais Keven , Rothman Alexander J , Evans Elizabeth H , Araújo-Soares Vera , Sniehotta Falko F 
Published: February 2024

Abstract

Background
NULevel was a randomized control trial to evaluate a technology-assisted weight loss maintenance (WLM) program in the UK. The program included: (a) a face-to-face goal-setting session; (b) an internet platform, a pedometer, and wirelessly connected scales to monitor and report diet, physical activity, and weight, and; (c) regular automated feedback delivered by mobile phone, tailored to participants’ progress. Components were designed to target psychological processes linked to weight-related behavior. Though intervention participants showed increased physical activity, there was no difference in WLM between the intervention and control groups after 12 months (Sniehotta FF, Evans EH, Sainsbury K, et al. Behavioural intervention for weight loss maintenance versus standard weight advice in adults with obesity: A randomized controlled trial in the UK (NULevel Trial). PLoS Med. 2019; 16(5):e1002793. doi:10.1371/journal.pmed.1002793). It is unclear whether the program failed to alter targeted psychological processes, or whether changes in these processes failed to influence WLM.

Purpose
We evaluate whether the program influenced 16 prespecified psychological processes (e.g., self-efficacy and automaticity toward diet and physical activity), and whether these processes (at 6 months) were associated with successful WLM (at 12 months).

Methods
288 adults who had previously lost weight were randomized to the intervention or control groups. The control group received wireless scales and standard advice via newsletters. Assessments occurred in person at 0, 6, and 12 months.

Results
The intervention significantly altered 10 of the 16 psychological processes, compared with the control group. However, few processes were associated with WLM, leading to no significant indirect effects of the intervention via the processes on WLM.

Conclusions
Changes in targeted processes were insufficient to support WLM. Future efforts may more closely examine the sequence of effects between processes, behavior, and WLM.
Lactylation prediction models based on protein sequence and structural feature fusion
Authors: Yang Ye-Hong , Yang Jun-Tao , Liu Jiang-Feng 
Published: February 2024

Abstract
Lysine lactylation (Kla) is a newly discovered posttranslational modification that is involved in important life activities, such as glycolysis-related cell function, macrophage polarization and nervous system regulation, and has received widespread attention due to the Warburg effect in tumor cells. In this work, we first design a natural language processing method to automatically extract the 3D structural features of Kla sites, avoiding potential biases caused by manually designed structural features. Then, we establish two Kla prediction frameworks, Attention-based feature fusion Kla model (ABFF-Kla) and EBFF-Kla, to integrate the sequence features and the structure features based on the attention layer and embedding layer, respectively. The results indicate that ABFF-Kla and Embedding-based feature fusion Kla model (EBFF-Kla), which fuse features from protein sequences and spatial structures, have better predictive performance than that of models that use only sequence features. Our work provides an approach for the automatic extraction of protein structural features, as well as a flexible framework for Kla prediction. The source code and the training data of the ABFF-Kla and the EBFF-Kla are publicly deposited at: https://github.com/ispotato/Lactylation_model.