bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aid allocation across the humanitarian-development-peace nexus: the role of fragility as a donors’ motive
Authors: Yabe Kazuma , Opršal Zdeněk , Harmáček Jaromír , Syrovátka Miroslav 
Published: August 2024

AbstractFragility continues to present major challenges to achieving sustainable development goals (SDGs). International aid, particularly the Official Development Assistance (ODA), is a critical source of finance to deliver humanitarian assistance, development projects, and peace operations in fragile contexts. This study analyses if and how donors are motivated by fragility in their aid allocation across the humanitarian-development-peace nexus. Employing the random-effect Tobit method, the role of fragility as a donors’ motive is analysed alongside three conventional categories of motives: self-interest, recipients’ needs, and merit. The empirical analysis demonstrates an association between aid allocation across the nexus and fragility, but also a great degree of heterogeneity depending on the donor and the pillar of the nexus. It also detects a significant difference between how the state of fragility correlates with aid allocation and how the degree of fragility does so.
Scalar cosmological perturbations from quantum gravitational entanglement
Authors: Jercher Alexander F , Marchetti Luca , Pithis Andreas G A 
Published: August 2024

AbstractA major challenge at the interface of quantum gravity (QG) and cosmology is to explain the emergence of the large-scale structure of the Universe from Planck scale physics. In this letter, we extract the dynamics of scalar isotropic cosmological perturbations from full QG, as described by the causally complete Barrett–Crane group field theory (GFT) model. From the perspective of the underlying QG theory, cosmological perturbations are represented as nearest-neighbor two-body entanglement of GFT quanta. Their effective dynamics is obtained via mean-field methods and described relationally with respect to a causally coupled physical Lorentz frame. We quantitatively study these effective dynamical equations and show that at low energies they are perfectly consistent with those of general relativity, while for trans-Planckian scales quantum effects become important. These results therefore not only provide crucial insights into the potentially purely quantum gravitational nature of cosmological perturbations, but also offer rich phenomenological implications for the physics of the early Universe.
Light-element and purely charge-based topological materials
Authors: Derriche Nassim , Franz Marcel , Sawatzky George 
Published: August 2024

Abstract
We examine a class of Hamiltonians characterized by interatomic, interorbital even–odd parity hybridization as a model for a family of topological insulators without the need for spin–orbit coupling. Non-trivial properties of these materials are exemplified by studying the topologically-protected edge states of s-p hybridized alkali and alkaline earth atoms in one and two-dimensional lattices. In 1D the topological features are analogous to the canonical Su–Schrieffer–Heeger model but, remarkably, occur in the absence of dimerization. Alkaline earth chains, with Be standing out due to its gap size and near particle-hole symmetry, are of particular experimental interest since their Fermi energy without doping lies directly at the level of topological edge states. Similar physics is demonstrated to occur in a 2D honeycomb lattice system of s-p bonded atoms, where dispersive edge states emerge. Lighter elements are predicted using this model to host topological states in contrast to spin–orbit coupling-induced band inversion favoring heavier atoms.
A multi-source data fusion driven power field effect transistor health state assessment and remaining useful life prediction method
Authors: Chen Gaige , Zhang Yuzhe , Huang Jun , Wang Xianzhi , Kong Xianguang 
Published: August 2024

Abstract
The metal oxide semiconductor field effect transistor (MOSFET) is subjected to various stresses due to the external and internal operating environments, leading to ageing and failure of the device. With multiple degradation mechanisms, a single piece of information can no longer fully reflect the health state of MOSFETs, so how to use multi-source data to characterise the state of the device and predict the remaining useful life (RUL) is an issue worth exploring. To address this problem, a method for constructing health indicators (HI) as well as predicting RUL using multi-source data is proposed. In this method, firstly, the features are computed by selecting the appropriate ageing signal from the ageing mechanism. Secondly, the extracted features are filtered using Pearson’s algorithm to find the features that are strongly correlated with longevity. Then, the filtered features are merged by dimensionality reduction using the kernel principal component analysis algorithm and the HI is constructed from the reduced result. Finally, an unsupervised clustering algorithm is used to classify the states based on the data distribution in HI, and the filtered features are used as input to the grey wolf optimisation bidirectional long short-term memory neural network to predict the RUL of the device. In this paper, the proposed method is validated using data from the MOSFET Accelerated Aging Experiment at the NASA Ames Centre of Excellence for Prediction. The results show that the method is able to achieve good results in health state assessment and RUL prediction of MOSFETs. The proposed method is an effective and comprehensive strategy that is more helpful for the operation and maintenance of electronics.
Self-similar blow-up solutions in the generalised Korteweg-de Vries equation: spectral analysis, normal form and asymptotics
Authors: Chapman S Jon , Kavousanakis M , Charalampidis E G , Kevrekidis I G , Kevrekidis P G 
Published: August 2024

AbstractIn the present work we revisit the problem of the generalised Korteweg–de Vries equation parametrically, as a function of the relevant nonlinearity exponent, to examine the emergence of blow-up solutions, as traveling waveforms lose their stability past a critical point of the relevant parameterp, here atp = 5. We provide anormal formof the associated collapse dynamics, and illustrate how this captures the collapsing branch bifurcating from the unstable traveling branch. We also systematically characterise the linearisation spectrum of not only the traveling states, but importantly of the emergent collapsing waveforms in the so-called co-exploding frame where these waveforms are identified as stationary states. This spectrum, in addition to two positive real eigenvalues which are shown to be associated with the symmetries of translation and scaling invariance of the original (non-exploding) frame features complex patterns of negative eigenvalues that we also fully characterise. We show that the phenomenology of the latter is significantly affected by the boundary conditions and is far more complicated than in the corresponding symmetric Laplacian case of the nonlinear Schrödinger problem that has recently been explored. In addition, we explore the dynamics of the unstable solitary waves forp > 5 in the co-exploding frame.
Innovative approach of teaching ray-optics in the classroom
Authors: Rathi Mayank , Shukla Ravi Kant , Tiwari Prashant , Kushwaha Govind , Gupta Priyanshu , Rana Ankush , Garg Amit 
Published: August 2024

Abstract
The present work discusses an innovative approach to teaching ray optics for students of class X. The school students were taught various concepts related to ray optics viz. Reflection, refraction, lateral displacement, mirrors, lenses, their types and terminologies, thin and thick lens, power of a lens, all cases of image formation in lenses, total internal reflection and its applications, human eye, its defects and corrections, making of telescope and microscope through practical demonstrations and hands-on approach using a self-conceived Ray Optics Kit. This activity was done independently in twenty two schools of Delhi, both government and private, with a massive total participation of 1200 students as part of SPIE Optics Outreach Activity. SPIE@ANDC Student Chapter members were trained at the college and they followed ‘Train the Trainer’ approach to create a pool of more than fifteen students who collectively conducted the workshops in teams in each of these schools. The student performance was assessed through a pre and post test as well as using a feedback form. An improvement of 65% in students’ performance was observed as indicated by comparing their pre-test and post-test results. The students as well as teachers gave a highly appreciative feedback of the whole activity. The feedback on their social media pages is a testimony of the success of the activity. Each school was awarded a Ray Optics Kit so as to make teaching and learning of ray optics interesting and engaging for batches in the future academic years.
A novel quantum security multi-party extremum protocol in a d-dimensional quantum system
Authors: Lu Yaohua , Ding Gangyi 
Published: August 2024

Abstract
Secure multi-party extremum computation (SMEC) is a specific application scenario of secure multi-party computation, which allows multiple participants to compute the extremum of data without disclosing private information. The extremum includes maximum, minimum, sum of extremums, and difference of extremums. SMEC has wide applications in financial transactions, market analysis, sports events, healthcare, etc. Current protocol research mainly exists in the classical domain and cannot withstand quantum computing attacks. To address this issue, we propose a novel QSME protocol based on a d-dimensional quantum system, capable of computing the maximum and minimum values among multi-party data under unconditional security, and can compute the sum and difference of extremums without disclosing the maximum and minimum values, to adapt to complex application scenarios. The article proposes a coding method for a d-dimensional quantum system to further enhance security, provides correctness analysis, security analysis, robustness analysis, and comparative analysis, and proposes an experimental method for a d-dimensional quantum system to verify the effectiveness of the protocol, demonstrating strong practicality.
Structural origin of spin-splitting anisotropy in janus dichalcogenides monolayers under pressure
Authors: Caturello Naidel A M S 
Published: August 2024

Abstract
Janus transition-metal dichalcogenides (TMDs) have drawn a great deal of attention because of their mirror plane symmetry breaking that allows the emergence of a built-in out-of-plane dipole which determine superior piezoelectric and spin-related properties. Furthermore, it has been shown in the recent literature that pressure application is capable of modulating spin-related phenomena in this class of materials. Generally, the spin-splitting presence in real systems is explored in terms of point group symmetry reduction using solely group theory arguments. However, we seek to associate the enhancement of spin-splitting in Janus TMDs monolayers by searching the most important local asymmetries responsible for the symmetry lowering that leads the monolayer larger spin-splitting energies. In this sense, we seek to unveil a possible structural descriptor that correlates with subbands splitting magnitude in Janus TMDs. To accomplish this, we performed a detailed first-principles investigation into WSSe Janus monolayers under biaxial in-plane strain to find that pressure induces a symmetry lowering from the C
3v
to the C

s
point group. From these observations, we found that in-plane angle asymmetries between the chalcogens yield a distortion metric that can serve as a descriptor for enhanced spin-splitting in Janus WSSe since it strongly correlates with spin-splitting energies. Hence, our work establishes that, rather than solely global symmetry analysis, specific local distortions provide a key design principle to achieve strong spin-splitting in 2D Janus TMDs.
Bayesian estimation of some reliability characteristics for Nakagami model using adaptive progressive censoring
Authors: Nassar Mazen , Alotaibi Refah , Elshahhat Ahmed 
Published: August 2024

Abstract
The focus of this research is to clarify both conventional and Bayesian parametric estimation methods for the Nakagami distribution making use of adaptive progressive Type II censored data. From a classical estimation perspective, two estimation methods are considered: maximum likelihood and least squares estimations. Along with the model parameters, three reliability metrics are estimated using point and interval estimation. Bayes estimates with gamma and inverse gamma priors are investigated by employing the squared error loss function. The Bayes computations are created using the Markov Chain Monte Carlo technique. Moreover, the classical and Bayesian intervals are also taken into consideration. For evidence of the effectiveness of the given methodologies, a simulation study and three applications from the physics, chemistry, and engineering domains are explored. Lastly three optimality criteria are applied to the stated data sets to pick the best progressive censoring strategy.
Vibration-rotational alternating-parity spectra of even–even nuclei with effective triaxiality
Authors: M S Nadirbekov , Bozarov O A , Kudiratov S N , Minkov N 
Published: August 2024

Abstract
In the present work, a model combining vibration-rotational motion and effective triaxiality is developed for even–even nuclei with quadrupole and octupole deformations. The Davidson potential is used to solve the radial part of the vibration-rotational Schrödinger equation in the axial quadrupole and octupole variables. In an adiabatic approximation the contribution of the angular variable in the components of the moments of inertia is taken as a constant after which the triaxial-rotor energy is obtained. As a result the alternating-parity spectrum and wave functions of the nucleus with quadrupole-octupole degrees of freedom are obtained. The proposed model is used to describe the yrast and first-non-yrast alternating-parity bands of the even–even nuclei 150Nd, 154Sm, 154,160Gd, 156Dy, 162,164Er, 172Yb, 230,232Th, 230,232,234,236,238U and 238,240Pu. The relevance of the model for taking into account the collective quadrupole-octupole modes in a rather complete form is pointed out.
Electron impact excitation of bismuth
Authors: Sahoo Aloka Kumar , Sharma Lalita 
Published: August 2024

Abstract
The present study investigates the electron impact excitation of bismuth from the ground state 6p3
4S3/2 to the excited state 6p27s 4P1/2. Motivated by the latest measurements by Marinković et al [J. Phys. B, 49 23 520 (2016)], relativistic distorted wave calculations are performed to obtain the differential and integrated cross sections for incident electron energies at 10, 20, 40, 60, 80, and 100 eVs. These results are compared with the available experimental data and a good agreement is observed. Our results represent the first theoretical work to provide such a comparison. Additionally, we report the generalized oscillator strengths derived from our calculated differential cross sections.
Impact of charge and non-minimal fluid-geometry coupling on anisotropic interiors
Authors: Naseer Tayyab , Sharif M 
Published: August 2024

Abstract
This paper explores the interior configuration of various charged anisotropic compact models within the framework of

f
(
R
,
T
,

R

λ
η

T

λ
η

)

gravity. The chosen model in this theory is represented by

R
+
γ

R

λ
η

T

λ
η

, where γ is a real-valued parameter. We adopt a static spherical metric to describe the interior of compact strange stars and derive the corresponding field equations. The solution to these equations is then obtained using the Finch-Skea metric and a linear equation of state. Taking the radius and mass of the compact star model 4U 1820-30 as a case study, we investigate the impact of charge and modified corrections on its internal distribution. The stability of the resulting model is also determined within a specific range of γ. Additionally, we determine the values of the model parameter through the vanishing radial pressure constraint, aligning with the experimental data of eight different stars. Our findings indicate that the resulting model adheres to the conditions necessary for physically relevant interiors, particularly in the case of lower charge.
Trapezoidal units for (0,±1) and (±1,0) splitter in the terahertz band
Authors: Huang Yongyuan , Wang Bo , Huang Xu 
Published: August 2024

Abstract
This paper presents a two-dimensional grating splitter based on a trapezoidal array. Under vertical incidence of light in the terahertz band at 2.52 THz, it is possible to suppress the (0,0) order, which has an efficiency of 0.5%, while simultaneously achieving high-efficiency outputs for the (0,±1) and (±1,0) orders, with efficiencies of 25.1% and 24.7%, respectively. And it has good uniformity and extinction rate, where the uniformity (E

U
) is 99.1% and the extinction rate (E

T
) is 0.07 dB. The research process uses the finite element method (FEM) to optimize the grating parameters, and the corresponding grating parameters are the optimal solution when the target diffraction order efficiency is optimal. In order to verify the feasibility of practical applications of gratings, the bandwidth ranges of the grating parameters are discussed, and the results show that the grating parameters all possess a sizable bandwidth range. Therefore, this work has a promising application in the fields of 3D imaging and reconstruction, microscopy technology, and it also provides a new and efficient scheme for modeling 2 × 2 splitters.
DeepOpt: a deep learning optimized privacy preservation framework for cyber-physical systems
Authors: Bindra Sandeep Singh , Aggarwal Alankrita 
Published: August 2024

Abstract
Privacy preservation and security enhancement are the key components of any network architecture due to advanced attack procedures. Cyber-Physical Systems (CPS) also need a mitigation and prevention strategy to deal with cyber threats. The existing approaches majorly deal with attack detection and focus on one or two attacks at a time. With this focus and demand of the CPS, this work proposes a deep learning optimized privacy preservation framework called DeepOpt. This proposed framework prevents the network from attackers and maintains security by classifying multiple attackers simultaneously using deep learning architecture. The proposed framework initializes privacy preservation using the trust-based approach and a hybrid optimization algorithm. In this, the network is divided into different zones, and each zone is secured using trust parameters with additional verification by secure hash function. The hybrid optimization selects the communication path using trust and energy that returns the attack-free path. This proposed architecture is simulated over different network scenarios with or without attacker nodes, and their traces are labeled to train the proposed deep convolutional neural network architecture. Finally, these models are integrated, and their performance is analyzed in different network scenarios and the presence of five different attackers such as blackhole, wormhole, man-in-the-middle attack, spoofing, and distributed denial of service. The simulation results, with improvement in detection accuracy, packet delivery ratio, and other performance factors, indicate the effectiveness of the proposed framework for both prevention and mitigation. Hence, this overall architecture preserves the privacy of CPS even in multifarious dynamic network scenarios.
Polyaniline/reduced graphene oxide nanocomposites for electrochemical and solar cell applications
Authors: Mohan Sonima , Vellakkat Mini , U Reka 
Published: August 2024

Abstract
Polyaniline nanocomposites are synthesized via in situ chemical oxidation method by reinforcing reduced graphene oxide nanoparticles of various weight percentage. Structural, optical, thermal and electrochemical studies are performed to know the significance of introducing reduced graphene oxide into polyaniline and to analyse the importance of filler weight percentage in determining various properties of the nanocomposites. X-ray diffraction peak intensity is appeared to be maximum for nanocomposite doped with 2% filler. This composite shows minimum crystallite size and maximum photoluminescence intensity. Maximum ID/IG ratio obtained for 2% filler added nanocomposite from Raman spectroscopy studies proved that the presence of more surface defects and recombination of charge carriers are the reasons for enhanced photoluminescence. Thermal stability is found to be better for a nanocomposite with 1% reduced graphene oxide and obtained a mass retention of 60% even after heating up-to 600 °C. SEM images give various shapes of nanocomposite such as nanorods, spherical nanoparticles and button shaped nanocomposites for different filler weight percentage. Carbon to oxygen ratio is observed to be decreased as the filler percentage increased from 1% to 4% in SEM-EDAX analysis. Polymer nanocomposite with 1% reinforcement possess maximum UV and visible absorption and is found to be decreased as filler concentration increased from 1 to 4%. Electrochemical analysis is performed for polyaniline and 1% reduced graphene oxide reinforced polyaniline nanocomposite. Specific capacitance of the electrode is obtained as 212 F g−1 and 609 F/g for polyaniline and nanocomposite respectively at a scan rate of 0.01 V/S. Solar cell device performance study shows that power conversion efficiency is 5.54% for 1% reduced graphene oxide nanocomposite, 4.7% for 2% reinforced, 4.16% for 3% filler and 3.61% for 4% nanocomposite.
Ferromagnetism in heavily Fe-doped GaAs: a DFT study
Authors: Zarpellon J , Mosca D H , Varalda J 
Published: August 2024

Abstract
Computational calculations based on density functional theory were carried out to investigate ferromagnetism in gallium arsenide (GaAs) heavily doped with Fe atoms that can substitutionally occupy gallium (Ga) or arsenic (As) sites in the zinc-blende-like crystal structure. The calculations were performed within the spin polarized density functional theory (DFT) and generalized gradient approximation (GGA) with full potential linearized augmented plane wave (FP-LAPW) method. We investigate and discuss the ab initio calculation results focusing on properties intrinsically important for spintronic applications, such as spin polarization and magnetic anisotropy. The density of states (DOS) was calculated with substitution of Fe atoms in the As and Ga sites, giving the electronic properties, as well as the magnetic ground state. According to DFT calculations, heavily doped GaAs with 25 at. % of Fe becomes a ferromagnetic metal with spin polarization as high as 69% at Fermi level. This is corroborated by experimental results previously published in literature.
Controlled lateral positioning of NV centres in diamond by CVD overgrowth
Authors: Lang Nicola , Mathes Niklas , Götze Arne , Reinke Philipp , Schreyvogel Christoph , Iannucci Robert , Giese Christian , Vidal Xavier , Knittel Peter 
Published: August 2024

Abstract
A challenge to this day in the development of diamond devices for quantum applications is the laterally defined and closely spaced positioning of nitrogen-vacancy centres with exceptional coherence properties. Here, we demonstrate a maskless, implantation-free method for the controlled in-plane positioning of NV centres using a combination of focused ion beam (FIB) milling, plasma etching and nitrogen-doped diamond growth. The Ga+ ion beam milling resulted in 1 μm × 1 μm cavities with depths of up to 450 nm, each cavity exhibiting the four [111]-oriented diamond facets after pure hydrogen plasma treatment and a depth of 700 nm. Low-methane, nitrogen-doped chemical vapour deposition (CVD) overgrowth resulted in in situ formation of oriented NV ensembles, exclusively perpendicular to the {111}-planes.