bluuebunny/crossref_metadata_2025_split huggingface dataset:
Toxische Beziehung: Macht, Kontrolle, Manipulation
Authors: Rackelmann Marc 
Published: May 2024

SummaryDer unbestimmte Publikumsbegriff „toxische Beziehung“ bezieht sich auf sehr unterschiedliche Formen dysfunktionaler Partnerschaft, meist geprägt von Mechanismen wie Liebesüberflutung, Stimmungswechsel, Isolation, Kontrolle, Macht, Ungleichheit, Konflikten, Schuldzuweisungen, Unehrlichkeit, Affären, Manipulation und Aggression bis hin zu Gewalt. Die Psychologen Paulhus und Williams entwickelten 2002 das Konzept der Dunklen Triade als Charaktertrias des „toxischen“ Typus, die lautet: Narzissmus, Psychopathie, Machiavellismus, eventuell ergänzt durch Sadismus. Das Erkennen einer toxischen Beziehung eröffnet die Möglichkeit eines Kurswechsels oder Neuanfangs hin zu einer gesunden Partnerschaft, geprägt von Wohlwollen, Vertrauen, Ehrlichkeit, Autonomie, Interessenbalance, Affektkontrolle, Fehler- und Konfliktkultur.
Tatort Therapie
Authors: Textor Reinhard 
Published: May 2024

SummaryAuf dem Boden von Professionalität, Abstinenzgebot und Strafrecht haben Therapeuten eine klare emotionale und körperliche Distanz zu ihren Klienten zu wahren, um das sensible Vertrauensverhältnis vor Missbrauch zu schützen. Klienten idealisieren im vertraulichen Raum oftmals den Therapeuten und projizieren Gefühle von Bindung, Sehnsucht und Anziehung auf ihn – dies darf er jedoch niemals persönlich auf sich beziehen, emotional erwidern oder gar für seine Interessen nutzen. Warnzeichen für mögliche Therapeutenübergriffe sind unter anderem (auch scheinbar zufälliger) Körperkontakt, privater Austausch, Flirten, Austausch von Geschenken oder ein alarmiertes Gefühl des Klienten – hier oder bei weitergehenden Vorfällen sollte er andere Personen und bei Bedarf Beratungsstellen ins Vertrauen ziehen, die Therapie nötigenfalls abbrechen und sich zu weiteren Schritten beraten lassen.
Fractional Fokas-Lenells equation: analyzing travelling waves via advanced analytical method
Authors: Alqudah Mohammad , Alderremy A A , Mossa Al-Sawalha M , Khan Imran , Aly Shaban 
Published: May 2024

Abstract
In this paper, we consider the fractional Fokas-Lenells equation, which allows us to analyze how a nonlinear optic pulse spreads in time as single-mode fiber produces higher-order nonlinear effects. We have computed perfectly accurate travelling wave solutions for the Fokas-Lenells equation using the Riccati-Bernoulli sub-Ode approach. For the corresponding equation, we have established three distinct classes of perfectly accurate travelling wave solutions with different free parameters; hyperbolic, trigonometric, and rational. A sophisticated Backlund transformation is implemented to the equation to change it to ordinary differential equation domain, leading to many extra exact solutions.
Enhanced mechanical properties and corrosion resistance of electro-deposited NiCoP composite coatings with ZrB2 particle addition
Authors: Zhong Ning , Maniriho Jean Baptiste , Wu Qianlin , Wang Xiaodong , Gu Yijia , Li Wenge , Zhao Yuantao 
Published: May 2024

Abstract
This work was initiated with the purpose of expanding the utilization of nickel-based composite coatings, especially in wear and corrosion-related industrial applications. NiCoP coatings have long attracted scientific and engineering interest due to their enhanced mechanical properties reinforced by incorporation with a reinforcement phase. In the present study, NiCoP composite coatings reinforced with ZrB2 ceramic particles were synthesized by direct current deposition using a modified Watt’s type bath. The microstructures of composite coatings were studied by x-ray diffraction analysis, energy dispersive x-ray spectroscopy, and scanning electron microscopy, respectively. The hardness and tribological properties of the composite coatings were evaluated and compared. The corrosion behaviors of the deposits were investigated using electrochemical spectroscopy and potentiodynamic polarization techniques in simulated seawater. The effect of ZrB2 content on the microstructures and mechanical properties of the composite coatings was explored and discussed. The present study indicates that there is a progressive enhancement in the hardness, corrosion resistance, and wear resistance of the composite coatings with the increase in ZrB2 loading. The NiCoP-12 g/l-ZrB2 coating possesses the highest microhardness and superior wear performance, while the NiCoP-6 g/l-ZrB2 coating exhibits the best anti-corrosion properties. The present study shows a cost-effective and feasible solution for the preparation of NiCoP protective coatings with enhanced properties, which holds great potential for industrial applications requiring wear and anti-corrosion protection.
Simplified quantum teleportation for a distinctive six-qubit target state via a six-qubit entangled state
Authors: Yuan Hao , Xue Xin-Xia , Pan Guo-Zhu , Fang Jie 
Published: May 2024

Abstract
Based on a six-qubit entangled state, a quantum information processing scheme for teleporting a distinctive six-qubit state is presented. In the scheme, only Bell-state measurements and two-qubit controlled-NOT gate operations as well as some single-qubit transformed operations are needed. Compared with a rival scheme put forwarded by Tan et al [Int. J. Theor. Phys. 55, 155 (2016)], the present scheme is more simpler and easier to execute because it does not require to make the six-qubit entangled state measurement. Besides, it is deterministic and feasible in terms of the current experimental technologies.
An ultra-sensitive photonic crystal fiber magnetic field sensor based on Vernier effect using two parallel Sagnac loops
Authors: Ma Mingjian , Liu Yundong , Chen Qiang , Chen Hailiang 
Published: May 2024

Abstract
Magnetic field detection is of significant importance in various fields, including military, industrial, and power transmission systems. In this paper, we propose a novel ultra-sensitive photonic crystal fiber (PCF) magnetic field sensor based on the Vernier effect, employing two parallel Sagnac loops. Since magnetic field detection relies on the magneto-optical effect of magnetic fluids, all air holes in the PCF are assumed to filled with magnetic fluids. By inserting two slightly different lengths of PCFs into two parallel Sagnac loops, the Vernier effect can be excited to improve the sensitivity of magnetic field detection. The sensing characteristics of the PCF magnetic field sensor are theoretically studied using the finite element method (FEM). Moreover, the influences of the wavelength and magnetic field intensity on the sensing performance are also analyzed. The results show that the sensitivity and resolution of the PCF magnetic field sensor can reach 11.9 nm Oe−1 and 8.4 × 10−3 Oe, respectively, within the magnetic field intensity range of 80–150 Oe. To our best knowledge, the proposed magnetic field sensor exhibits the highest sensitivity among existing magnetic field sensors based on optical fiber interferometers. The proposed magnetic field sensor possesses ultra-high sensitivity and resolution, which exhibits good application prospects in the field of magnetic field detection.
Generation and annihilation of three dimensional magnetic nulls in extrapolated solar coronal magnetic field: data-based Implicit Large Eddy simulation
Authors: Maurya Yogesh Kumar , Bhattacharyya Ramit , Pontin David I 
Published: May 2024

Abstract
Three-dimensional (3D) magnetic nulls are the points where magnetic field vanishes and are preferential sites for magnetic reconnection: a fundamental process which converts magnetic energy into kinetic energy, heat, and energy of non-thermal particles along with a rearrangement of magnetic field lines. Reconnection is ubiquitous in nature and plays a major role in various magnetically confined laboratory and space/astrophysical plasmas. In the solar corona, the reconnection manifests as coronal transients including solar flares, coronal mass ejections and coronal jets—often associated with 3D nulls. The nulls are generally found to be collocated with complex active regions on the solar photosphere and merits further attention, particularly in terms of their generation. A recent idealized magnetohydrodynamics simulation initiated with an analytically constructed preexisting proper radial null has identified magnetic reconnection to be responsible for spontaneous generation of these 3D nulls. It is then imperative to further explore the plausibility of spontaneous generation of nulls in naturally occurring plasmas, identify the mechanism and verify the outcome vis-à-vis observations. An apt test bed for such an initiative is the solar atmosphere, as abundant space and ground-based observations are available. In the above backdrop, the paper attempts to investigate 3D null generation by carrying out a data-based simulation of a C6.6 class flare associated with the photospheric active region NOAA 11 977. The simulation confirms spontaneous pairwise generation of 3D nulls with magnetic reconnections as the underlying cause. Importantly, magnetic field lines associated with the spontaneously generated nulls are found to trace observed chromospheric bright points—highlighting their observational relevance. Overall, such spontaneous generation and annihilation of nulls through magnetic reconnections opens up a new avenue for solar coronal and chromospheric heating.
Dual-doppler signal mixing laser doppler velocimeter
Authors: Xi Chongbin , Zhou Jian , Nie Xiaoming , Jin Shilong 
Published: May 2024

Abstract
In order to reduce the requirement of system bandwidth of Laser Doppler Velocimeter (LDV), a Dual-Doppler signal mixing LDV is proposed in this paper. By transmitting two beams to the moving surface, two Doppler signals are acquired and subsequently mixed to obtain a difference frequency signal. The measured speed can be calculated based on the frequency of this difference frequency signal. This novel structure significantly reduces the bandwidth requirements on the system, which can be further diminished by minimizing the angle between the two beams of the emitted light. Moreover, it exhibits enhanced robustness against variations in launch angle and enables defocusing measurements.
Compositional dependence of magnetostrictive effect in Ta/CoFe(B)/MgO stacks with perpendicular magnetic anisotropy
Authors: Ahn Sung–Min 
Published: May 2024

Abstract
Magnetostrictive effect in Ta/Co
x
Fe100−x
(B)[CoFe(B)]/MgO for alloy compositions spanning Fe-rich (x = 20) to Co-rich (x = 80) stacks has been studied to investigate the relation between magnetostrictive effect and the onset of perpendicular magnetic anisotropy at Ta/CoFe(B)/MgO interfaces. Interestingly, for each Co composition, a t-dependent crossover between in-plane (ip) and out-of-plane (op) magnetic anisotropy is found at a different CoFe(B) thickness (t
cro)–denoted as crossover thickness, which means compositional variations of magnetic properties at the interfaces. By considering the Ta/CoFe(B) and CoFe(B)/MgO interfaces as atomistic volumes with ip and op orbital magnetizations, respectively, the relative ratio of ip to op orbital magnetization in the atomistic volumes is found to be closely related to the dependence of magnetostriction constant (λ
s) on the Co composition. The findings suggest that the composition dependence of ip and op orbital magnetization at the Ta/CoFe(B)/MgO interfaces plays an important role in controlling its interfacial anisotropy and magnetostrictive effect of the stacks with the interfaces.
Authenticated quantum key agreement based on cluster states against collective noise
Authors: Zhang Li , Han Zhaowei , Ma Qiuyu , Li Lele 
Published: May 2024

Abstract
Quantum key agreement (QKA) is an important branch of quantum cryptography. Particles are easily affected by noise in quantum channel transmission, which provides a cover for eavesdropper Eve to attack maliciously and eventually leads to the protocol failure. In this paper, based on the properties of four-particle cluster states and their entanglement swapping, two authenticated two-party QKA protocols that can resist collective noise (collective-dephasing noise and collective-rotation noise) by using CZ, CNOT, and Pauli operations are designed, respectively. Besides, both parties can authenticate each other’s identities, which makes our protocol more secure. In addition, security analysis shows that these two protocols can resist various attacks from inside and outside, such as participant attacks and entangle-measure attacks.
Flat optics of nonuniform phase gradient metasurfaces
Authors: Pang Kunwei , Song Gang , Zhang Wei 
Published: May 2024

Abstract
Flat optics of uniform phase gradient metasurfaces based on the generalized Snell’s law has been extensively studied. The optics of nonuniform phase gradient metasurfaces (NPGMs) is less clear. Here based on Huygens’ principle and finite-difference time-domain (FDTD) simulation, we explore the optical properties of NPGMs made of nanorods (meta-atoms), which can be tuned by modulation of propagation phase and geometric phase. It is found that the nonuniformity of phase gradient may lead to multichannel anomalous reflection/refraction. The multiple beam splitters with arbitrary intensity ratio can be achieved by using the amplitude/phase modulation. Based on our design principle, we can obtain different anomalous reflection patterns (with channels ±1, ±2, both ±1 and ±2, or no reflection at anomalous angle) by different arrangement of just two types of meta-atoms. In addition, we are able to achieve chiral anomalous reflections for designed NPGMs made of nanorods and L-shaped nanoparticles. Our formulism provides general design guidance for NPGMs and can be used to realize the beam splitting function with adjustable angle and intensity ratio.
Uniform rate inflation on the brane
Authors: Lin Chia-Min , Tamura Rei , Nagao Keiko I. 
Published: May 2024

Abstract
We propose a model of uniform rate inflation on the brane. The potential is given by a hyperbolic cosine function plus a negative cosmological constant. The equation of motion is solved analytically without using slow-roll approximation. The result is that the inflaton field is rolling at a constant speed. The prediction for cosmological perturbations depends on the field value at the end of inflation. The experimental constraints could be satisfied in the parameter space.
Curvature perturbations from preheating with scale dependence
Authors: Ghoderao Pulkit S. , Rajantie Arttu 
Published: May 2024

Abstract
We extend the formalism to calculate non-Gaussianity of primordial curvature perturbations produced by preheating in the presence of a light scalar field. The calculation is carried out in the separate universe approximation using the non-perturbative delta N formalism and lattice field theory simulations. Initial conditions for simulations are drawn from a statistical ensemble determined by modes that left the horizon during inflation, with the time-dependence of Hubble rate during inflation taken into account. Our results show that cosmic variance, i.e., the contribution from modes with wavelength longer than the size of the observable universe today, plays a key role in determining the dominant contribution. We illustrate our formalism by applying it to an observationally-viable preheating model motivated by non-minimal coupling to gravity, and study its full parameter dependence.
Starobinsky inflation and beyond in Einstein-Cartan gravity
Authors: He Minxi , Hong Muzi , Mukaida Kyohei 
Published: May 2024

AbstractWe show that various types of scalaron-induced inflation, including the Starobinsky inflation, can be realized in the Einstein-Cartan gravity with the Nieh-Yan term and/or the Holst term. Einstein-Cartanf(R) theory is known not to induce an additional scalar degree of freedom, the scalaron, contrary to the case in the metric formalism. However, there exist geometric quantities other than the Ricci scalar in the Einstein-Cartan gravity, such as the Nieh-Yan and the Holst terms. Once we introduce them in addition to the Ricci scalar and allow general combinations up to their quadratic order, the scalaron can become dynamical to realize inflation. With the rank of the associate matrix of the quadratic part to be one, the models are equivalent to theα-attractor inflation and its deformation, including the Starobinsky inflation and quadratic chaotic inflation, etc. For more general cases with the rank greater than one, the models fall into thek-essence, realizing the rank one case in a particular limit.
Preparatory movement state enhances premovement EEG representations for brain–computer interfaces
Authors: Zhang Yuxin , Li Mengfan , Wang Haili , Zhang Mingyu , Xu Guizhi 
Published: May 2024

Abstract

Objective. Motor-related brain–computer interface (BCI) have a broad range of applications, with the detection of premovement intentions being a prominent use case. However, the electroencephalography (EEG) features during the premovement phase are not distinctly evident and are susceptible to attentional influences. These limitations impede the enhancement of performance in motor-based BCI. The objective of this study is to establish a premovement BCI encoding paradigm that integrates the preparatory movement state and validates its feasibility in improving the detection of movement intentions. Methods. Two button tasks were designed to induce subjects into a preparation state for two movement intentions (left and right) based on visual guidance, in contrast to spontaneous premovement. The low frequency movement-related cortical potentials (MRCPs) and high frequency event-related desynchronization (ERD) EEG data of 14 subjects were recorded. Extracted features were fused and classified using task related common spatial patterns (CSP) and CSP algorithms. Differences between prepared premovement and spontaneous premovement were compared in terms of time domain, frequency domain, and classification accuracy. Results. In the time domain, MRCPs features reveal that prepared premovement induce lower amplitude and earlier latency on both contralateral and ipsilateral motor cortex compared to spontaneous premovement, with susceptibility to the dominant hand’s influence. Frequency domain ERD features indicate that prepared premovement induce lower ERD values bilaterally, and the ERD recovery speed after button press is the fastest. By using the fusion approach, the classification accuracy increased from 78.92% for spontaneous premovement to 83.59% for prepared premovement (p < 0.05). Along with the 4.67% improvement in classification accuracy, the standard deviation decreased by 0.95. Significance. The research findings confirm that incorporating a preparatory state into premovement enhances neural representations related to movement. This encoding enhancement paradigm effectively improves the performance of motor-based BCI. Additionally, this concept has the potential to broaden the range of decodable movement intentions and related information in motor-related BCI.
Effect of electron and ion mobility on edge biasing in tokamak plasmas
Authors: Shankar Vijay , Bisai N. , Raj Shrish , Sen A. 
Published: May 2024

Abstract
We present an improved model for the study of edge biasing in a tokamak plasma that incorporates electron and ion mobility contributions. The non-ambipolar nature of the drifts due to the electron/ion mobility terms influences the space charge separation due to edge biasing and affects plasma dynamics in the edge and SOL regions in a significant manner. In contrast to earlier studies, the present model enables simulation studies at higher biasing voltages. The inclusion of mobility enhances/decreases the effect of negative/positive biasing. The radial profiles of plasma density, electron temperature, radial electric field, and its shear for positive as well as negative biasing are investigated as a function of mobility.
Weak (non)conservation and stochastic dynamics of angular momentum
Authors: Matevosyan Ashot 
Published: May 2024

Abstract
Angular momentum conservation influences equilibrium statistical mechanics, leading to a generalized microcanonical density for an isolated system and a generalized Gibbs density for a weakly coupled system. We study the stochastic decay of angular momentum due to the weakly imperfect rotational symmetry of the external potential that confines the isolated many-particle system. We present a mesoscopic description of the system, deriving Langevin and Fokker–Planck equations, which are consistent with equilibrium statistical mechanics when rotational symmetry is maintained. When the symmetry is weakly violated, we formulate a coarse-grained stochastic differential equation governing the decay of total angular momentum over time. To validate our analytical predictions, we conduct numerical simulations of the microcanonical ensemble, an isolated system undergoing thermalization due to weak two-body interactions. Our coarse-grained Langevin equation accurately characterizes both the decay of the angular momentum and its fluctuations in a steady state. Furthermore, we estimate the parameters of our mesoscopic model directly from simulations, providing insights into the dissipative phenomenological coefficients, such as friction. More generally, this study contributes to a deeper understanding of the behavior of the integrals of motion when the corresponding symmetry is weakly violated.
Electric-magnetic duality and

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2

symmetry enriched Abelian lattice gauge theory
Authors: Jia Zhian , Kaszlikowski Dagomir , Tan Sheng 
Published: May 2024

Abstract
Kitaev’s quantum double model is a lattice realization of Dijkgraaf–Witten topological quantum field theory. Its topologically protected ground state space has broad applications for topological quantum computation and topological quantum memory. We investigate the

Z

2

symmetry enriched generalization of the model for the Abelian group in a categorical framework and present an explicit Hamiltonian construction. This model provides a lattice realization of the

Z

2

symmetry of the topological phase. We discuss in detail the categorical symmetry of the phase, for which the electric-magnetic (EM) duality symmetry is a special case. The aspects of symmetry defects are investigated using the G-crossed unitary braided fusion category. By determining the corresponding anyon condensation, the gapped boundaries and boundary-bulk duality are also investigated. In the last part, an explicit lattice realization of EM duality is discussed.
Directly electrospun copper ferrite CuFe2O4 nanofiber-based for gas classification
Authors: Phan Hong Phuoc , Nguyen Van Hoang , Nguyen Ngoc-Viet , Nguyen Van Hieu 
Published: May 2024

Abstract
The cross-response is a considerable primary challenge of gas sensors based on semiconducting metal oxide (SMO), especially in detecting and classifying gases with comparable properties. In this work, the copper ferrite (CuFe2O4, CFO) nanofibers (NFs)-based sensors were straightforwardly synthesised by electrospinning technique. The morphology of the CFO NFs was observed using scanning electron microscopy (SEM), which revealed a rough surface with a diameter of approximately 80 nm. The composition of the fiber was confirmed by energy dispersive spectroscopy (EDS), which showed the fiber’s chemical elements to include Cu, Fe, and O. The microstructural characteristics of the CFO NFs were analysed using x-ray diffraction (XRD) and Raman spectroscopy, confirming the characteristic peaks of the CFO phase. The gas sensing characteristics of CFO-based sensors have been examined to 25−200 ppm of various gases of (CH3)2CO, CH3CH2OH, NH3, and H2 at a function of working temperature of 350−450 °C. The gas-sensing mechanism of the sensor based on CFO NFs is explained by the surface depletion layer and the grain boundary model. The successful categorisation of these gases into distinct groups was realised, indicating that the issue of cross-response caused by interfering gases was effectively addressed with the aid of an artificial intelligence algorithm.