bluuebunny/crossref_metadata_2025 huggingface dataset:
Mechanism-driven improved SVMD: an indirect approach for rail corrugation detection using axle box acceleration
Authors: Liu Peishan , Yang Jianwei , Liu Changdong , Zhao Yue , Hu Zhongshuo
Published: June 2024

Addressing the challenge of the current inability to qualitatively identify rail corrugation damage accurately from axle box acceleration data, this study proposes a novel approach. To indirectly identify rail corrugation from axle box acceleration, we introduce an improved successive variational mode decomposition (SVMD) algorithm, coupled with a deep learning model for corrugation recognition. First, a numerical model of the vehicle-rail-track slab system is established, considering rail corrugation. Indicator analysis is integrated into the SVMD. The improved SVMD is employed to decompose and reconstruct axle box acceleration, achieving noise reduction and extraction of useful components. Next, we apply the fast Continuous Wavelet Transform analysis method to effectively transform one-dimensional data into two-dimensional images. Finally, the You Only Look Once (YOLO) model serves as a classifier for the classification and recognition of corrugation with different wavelengths. The results demonstrate that the mechanism-driven improved SVMD effectively extracts corrugation components from axle box acceleration, while the YOLO model achieves rapid and efficient identification and classification of corrugation with different wavelengths. The results show that compared with other traditional models, the training time of the YOLO model is 60%–90% of the training time of the traditional algorithm, and the Recall rate is 1.15–1.45 times that of the traditional algorithm. In terms of wavelength identification, the YOLO model has a recognition rate of 98% for different wavelengths. The proposed approach offers an innovative and efficient solution for identifying rail corrugation damage in axle box acceleration data.
Uniform large-area surface patterning achieved by metal dewetting for the top-down fabrication of GaN nanowire ensembles
Authors: Kang Jingxuan , Jose Rose-Mary , Oliva Miriam , Auzelle Thomas , Ruiz Mikel Gómez , Tahraoui Abbes , Lähnemann Jonas , Brandt Oliver , Geelhaar Lutz
Published: June 2024

The dewetting of thin Pt films on different surfaces is investigated as a means to provide the patterning for the top-down fabrication of GaN nanowire ensembles. The transformation from a thin film to an ensemble of nanoislands upon annealing proceeds in good agreement with the void growth model. With increasing annealing duration, the size and shape uniformity of the nanoislands improves. This improvement speeds up for higher annealing temperature. After an optimum annealing duration, the size uniformity deteriorates due to the coalescence of neighboring islands. By changing the Pt film thickness, the nanoisland diameter and density can be quantitatively controlled in a way predicted by a simple thermodynamic model. We demonstrate the uniformity of the nanoisland ensembles for an area larger than 1 cm2. GaN nanowires are fabricated by a sequence of dry and wet etching steps, and these nanowires inherit the diameters and density of the Pt nanoisland ensemble used as a mask. Our study achieves advancements in size uniformity and range of obtainable diameters compared to previous works. This simple, economical, and scalable approach to the top-down fabrication of nanowires is useful for applications requiring large and uniform nanowire ensembles with controllable dimensions.
In2O3/ZnO heterojunction thin film transistor for high recognition accuracy neuromorphic computing and optoelectronic artificial synapses
Authors: Sun Shangheng , Zhang Minghao , Bian Jing , Xu Ting , Su Jie
Published: June 2024

Solid electrolyte-gated transistors exhibit improved chemical stability and can fulfill the requirements of microelectronic packaging. Typically, metal oxide semiconductors are employed as channel materials. However, the extrinsic electron transport properties of these oxides, which are often prone to defects, pose limitations on the overall electrical performance. Achieving excellent repeatability and stability of transistors through the solution process remains a challenging task. In this study, we propose the utilization of a solution-based method to fabricate an In2O3/ZnO heterojunction structure, enabling the development of efficient multifunctional optoelectronic devices. The heterojunction’s upper and lower interfaces induce energy band bending, resulting in the accumulation of a large number of electrons and a significant enhancement in transistor mobility. To mimic synaptic plasticity responses to electrical and optical stimuli, we utilize Li+-doped high-k ZrO
x
thin films as a solid electrolyte in the device. Notably, the heterojunction transistor-based convolutional neural network achieves a high accuracy rate of 93% in recognizing handwritten digits. Moreover, our research involves the simulation of a typical sensory neuron, specifically a nociceptor, within our synaptic transistor. This research offers a novel avenue for the advancement of cost-effective three-terminal thin-film transistors tailored for neuromorphic applications.
Effect of electrical stress on time dependent dielectric breakdown (TDDB) tolerate capability of HfO2–ZrO2 ferroelectric films with different thicknesses
Authors: Peng Yue , Wang Zhe , Wu Qiuxia , Zhang Shuo , Ma Wenxuan , Xiao WenWu , Zhang Chunfu , Hao Yue
Published: June 2024

HfO2-based ferroelectric materials as the most promising candidate for the ferroelectric memories, have been widely studied for more than a decade due to their excellent ferroelectric properties and CMOS compatibility. In order to realize its industrialization as soon as possible, researchers have been devoted to improving the reliability performance, such as wake up, imprint, limited endurance, et al. Among them, the breakdown characteristic is one of main failure mechanisms of HfO2-based ferroelectric devices, which limits the write/read reliability of the devices. Based on this, we systematically studied the effect of thickness on the time-dependent dielectric breakdown (TDDB) tolerate capability of HfO2–ZrO2 (HZO) FE films under both forward and reverse electrical stress conditions. The thickness of HZO FE film ranged from 6 to 20 nm. Our findings reveal that decreasing the thickness of the HZO FE film leads to an improvement in TDDB tolerance capability which is attributed to the fact that higher density of oxygen vacancies in thinner HZO FE films can effectively inhibit the generation of new oxygen vacancies and the growth of conductive filaments, thus effectively improving the TDDB characteristics. These results provide a potential solution for mitigating breakdown characteristics of HfO2-based ferroelectric devices in memory applications.
Comparing novel small-angle x-ray scattering approaches for absolute size and number concentration measurements of spherical SiO2 particles to established methods
Authors: Schürmann Robin , Gaál Anikó , Sikora Aneta , Ojeda David , Bartczak Dorota , Goenaga-Infante Heidi , Korpelainen Virpi , Sauvet Bruno , Deumer Jérôme , Varga Zoltán , Gollwitzer Christian
Published: June 2024

Biomedical analytical applications, as well as the industrial production of high-quality nano- and sub-micrometre particles, require accurate methods to quantify the absolute number concentration of particles. In this context, small-angle x-ray scattering (SAXS) is a powerful tool to determine the particle size and concentration traceable to the Système international d’unités (SI). Therefore, absolute measurements of the scattering cross-section must be performed, which require precise knowledge of all experimental parameters, such as the electron density of solvent and particles, whereas the latter is often unknown. Within the present study, novel SAXS-based approaches to determine the size distribution, density and number concentrations of sub-micron spherical silica particles with narrow size distributions and mean diameters between 160 nm and 430 nm are presented. For the first-time traceable density and number concentration measurements of silica particles are presented and current challenges in SAXS measurements such as beam-smearing, poorly known electron densities and moderately polydisperse samples are addressed. In addition, and for comparison purpose, atomic force microscopy has been used for traceable measurements of the size distribution and single particle inductively coupled plasma mass spectrometry with the dynamic mass flow approach for the accurate quantification of the number concentrations of silica particles. The possibilities and limitations of the current approaches are critically discussed in this study.
Near-infrared-II responsive ovalbumin functionalized gold-genipin nanosystem cascading photo-immunotherapy of cancer
Authors: Huang Shuqi , Hou Yike , Tang Zhe , Suhail Muhamamd , Cui Mingyue , Iqbal M Zubair , Kong Xiangdong
Published: June 2024

Synergistic cancer therapies have attracted wide attention owing to their multi-mode tumor inhibition properties. Especially, photo-responsive photoimmunotherapy demonstrates an emerging cancer treatment paradigm that significantly improved treatment efficiency. Herein, near-infrared-II responsive ovalbumin functionalized Gold-Genipin nanosystem (Au–G–OVA NRs) was designed for immunotherapy and deep photothermal therapy of breast cancer. A facile synthesis method was employed to prepare the homogeneous Au nanorods (Au NRs) with good dispersion. The nanovaccine was developed further by the chemical cross-linking of Au–NRs, genipin and ovalbumin. The Au–G–OVA NRs outstanding aqueous solubility, and biocompatibility against normal and cancer cells. The designed NRs possessed enhanced localized surface plasmon resonance (LSPR) effect, which extended the NIR absorption in the second window, enabling promising photothermal properties. Moreover, genipin coating provided complimentary red fluorescent and prepared Au–G–OVA NRs showed significant intracellular encapsulation for efficient photoimmunotherapy outcomes. The designed nanosystem possessed deep photothermal therapy of breast cancer and 90% 4T1 cells were ablated by Au–G–OVA NRs (80 μg ml−1 concentration) after 1064 nm laser irradiation. In addition, Au–G–OVA NRs demonstrated outstanding vaccination phenomena by facilitating OVA delivery, antigen uptake, maturation of bone marrow dendritic cells, and cytokine IFN-γ secretion for tumor immunosurveillance. The aforementioned advantages permit the utilization of fluorescence imaging-guided photo-immunotherapy for cancers, demonstrating a straightforward approach for developing nanovaccines tailored to precise tumor treatment.
Key influence factors in magneto-controlled motion of micro-nano graphite flakes
Authors: Gao Youlin , Wang Junsong , Chen Mianke , Zhang Chenghong , Qiu Kang , Khalifa Mahmoud A , Luo Jialiang , Chang Xiao , Zheng Ganhong , Ding Wei , Sheng Zhigao
Published: June 2024

Magneto-controlling micro-nano materials’ motion is a promising way that enable the noncontact, remote, and nondestructive controlling of their macrostructure as well as functionalities. Here, an optical microscope with an electromagnet was constructed to in-situ monitor the magneto-controlled motion process microscopically. Taking micro-nano graphite flake (MGF) as a model system, we experimentally demonstrate the key factors that influence the magneto-controlling of materials’ motion. First, the product of intensity and gradient of the magnetic field (B∇B) has been confirmed as the dominant driving force and the flipping direction of the MGFs is accordingly determined by the vector direction of B×∇B. Second, quantitatively comparative experiments further revealed that the threshold driving force has an exponential relationship with the structural aspect ratio (b/a) of MGFs. Third, the critical magneto-driving force is found as proportional to the viscosity of the solvent. Accordingly, a dynamic model is developed that describes the flip of the diamagnetic flake under external magnetic field excitation considering the shape factor. It is shown experimentally that the model accurately predicts the flip dynamics of the flake under different magnetic field conditions. In addition, we also discovered the delay effect, multiple cycle acceleration effect, and the fatigue effects due to gas adsorption in magneto-controlled MGFs flipping. These findings can be used to achieve magneto-controlling materials’ macrostructure as well as their functionalities.
Electric field control of spin-orbit torque in annealed Ta/CoFeB/HfO
x
heterostructures via interfacial oxidation modulation
Authors: Wu Shuo , Jin Tianli , Ang Calvin Ching Ian , Lim Gerard Joseph , Cheng Bryan Wei Hao , Chen Ze , Lew Wen Siang
Published: June 2024

Electric field control of spin-orbit torque (SOT) exhibits promising potential in advanced spintronic devices through interfacial modulation. In this work, we investigate the influence of electric field and interfacial oxidation on SOT efficiency in annealed Ta/CoFeB/HfO
x
heterostructures. By varying annealing temperatures, the damping-like SOT efficiency reaches its peak at the annealing temperature of 320 °C, with an 80% field-free magnetization switching ratio induced by SOT having been demonstrated. This enhancement is ascribed to the annealing-induced modulation of oxygen ion migration at the CoFeB/HfO
x
interface. By applying voltages across the Ta/CoFeB/HfO
x
heterostructures, which drives the O2‒ migration across the interface, a reversible, bipolar, and non-volatile modulation of SOT efficiency was observed. The collective influence of annealing temperature and electric field effects on SOT carried out in this work provides an effective approach into facilitating the optimization and control of SOT in spintronic devices.
Measurement accuracy evaluation and optimization of embedded strain sensor for asphalt mixture: laboratory tests and finite element simulation
Authors: Han Dongdong , Tang Dong , Liu Guoqiang , Zhao Yongli
Published: June 2024

Due to the temperature sensitivity of asphalt mixtures, the synergistic deformation between embedded strain sensors and asphalt mixtures may be poor at certain temperatures, resulting in less accurate strain measurements. Therefore, the main purpose of this article is to consider the synergistic deformation between asphalt mixtures and embedded sensors and to provide guidance for the reasonable design of embedded strain sensors for asphalt pavements. Firstly, the finite element analysis and laboratory tests were used as the main approaches to analyze the main factors affecting the synergistic deformation between the embedded strain sensor and the asphalt mixture. Then, critical design requirements and optimization initiatives for embedded strain sensors dedicated to asphalt pavements were proposed. Finally, the optimal embedded strain sensors were further developed and the proposed design requirements were validated. The results show that the output of the sensor can be consistent with the deformation state of the asphalt mixture only if the equivalent modulus of the embedded strain sensor is the same as the modulus of the asphalt mixture. However, asphalt mixture modulus is susceptible to temperature, and it is difficult to keep the asphalt mixture modulus consistent with the sensor equivalent modulus at different ambient temperatures. Therefore, embedded strain sensors with low equivalent modulus and no encapsulated reinforcement are recommended to monitor the strain of asphalt pavement over a wide range of temperatures. The corresponding optimal embedded strain sensor was developed using low modulus polyimide as the elastic strain beam and silicone rubber as the flexible wrapping layer. The optimal embedded strain sensor has a maximum measurement error of only 4.5% over a wide temperature range. Overall, this article provides a reference for the accurate measurement of strain sensors for asphalt pavement.
Effect of manufacturing process parameters on the compression and energy absorption properties of 4D-printed deformable honeycomb structure
Authors: Peng Xiang , Han Yang , Liu Guoao , Li Jiquan , Yi Bing , Sa Guodong , Jiang Shaofei
Published: June 2024

Four-dimensional-printed deformable honeycombs can produce pro-programmed shape deformation and different properties under external stimuli, and the manufacturing process parameters are the dominant factors affecting the microstructure and properties of the manufactured honeycomb structures. Although many researchers have investigated the effects of manufacturing process parameters on the mechanical properties of printed materials, there is still a lack of research on the relationship between manufacturing process parameters and properties of honeycomb structures. Therefore, a novel honeycomb structures which has two configurations under temperature stimuli is proposed, and the optimum manufacturing processes for the printing of this honeycomb are selected considering the compression and energy absorption properties simultaneously. The novel honeycomb is designed and printed with fused deposition modeling technology, which have hexagonal configuration (Structure I) and semi-triangular configuration (Structure II) under external temperature stimulus. The energy absorption capacity of Structure I and compressive properties of Structure II are investigated under different manufacturing process parameters. The experimental results indicate that the layer thickness has the most significant impact on the mechanical performance of deformable honeycombs. The combination of a layer thickness of 0.2 mm, printing speed of 40 mm s−1, and 100% infill density are the best process parameters for the novel deformable honeycomb structures.
Highly elastic fibers in a shear flow can form double helices
Authors: Słowicka Agnieszka M , Xue Nan , Liu Lujia , Nunes Janine K , Sznajder Paweł , Stone Howard A , Ekiel-Jeżewska Maria L
Published: June 2024

The long-time behavior of highly elastic fibers in a shear flow is investigated experimentally and numerically. Characteristic attractors of the dynamics are found. It is shown that for a small ratio of bending to hydrodynamic forces, most fibers form a spinning elongated double helix, performing an effective Jeffery orbit very close to the vorticity direction. Recognition of these oriented shapes, and how they form in time, may prove useful in the future for understanding the time history of complex microstructures in fluid flows and considering processing steps for their synthesis.
Effect of biaxial strain on the electronic structure and optical properties of two-dimensional Bi2Te2S
Authors: Yang Jieyu , Cen Weifu , Tian Zean
Published: June 2024

In this work, the effects of biaxial strain on the electronic structure and optical properties of monolayer Bi2Te2S are studied by the first-principles methods. The calculated results show that the monolayer Bi2Te2S is an indirect band gap semiconductor with a band gap of 1.0 eV. The absence of imaginary frequency in the phonon spectrum indicates that the structure can exist stably. With the increase of tensile strain, the band gap value decreases approximately quasi-linearly. When 10 % tensile strain is applied, the band gap value is reduced to 0 eV, achieving the transition from an indirect bandgap semiconductor to a direct bandgap semiconductor. With the increase of compressive strain, the band gap value increases first and then decreases, and the band gap value reaches a maximum of 1.28 eV at −4 % strain. Combined with the density of states analysis, the reason for this change in the band structure is that the contribution of Bi 6p, Te 5p and S 3p state electrons to the conduction band and valence band changes under different strains. The effect of strain on the optical properties shows that when different strains are applied, the monolayer Bi2Te2S has a high absorption coefficient in the entire visible region. The single-layer Bi2Te2S material has a smaller refractive index under tensile strain. The static dielectric function value increases with the increase of tensile strain, and the peak value of the dielectric function decreases and moves to the low energy direction. This indicates that the tensile strain will enhance the migration of photogenerated electron-hole pairs, which is beneficial to improving the utilization of light. This work will provide a theoretical reference for the subsequent study of the electronic and optical properties of monolayer Bi2Te2S.
Characteristics and transformations of dust acoustic double-layers in plasmas with adiabatically trapped-nonextensive ions using Tsallis-Gurevich distribution
Authors: Bouchemla N , Merriche A , Benzekka M , Kerrouchi S
Published: June 2024

The investigation focuses on examining the characteristics of dust acoustic double-layers (DA-DLs) in the presence of adiabatically trapped-nonextensive ions featuring Tsallis-Gurevich distribution. Indeed, the ion-density and pseudo-potential expressions are formulated in terms of transcendental functions, allowing for a detailed analysis of Dust Acoustic Double Layers associated with complex plasmas in the presence of non-extensive adiabatically trapped ions. The study then delves into the impact of background ion nonextensivity on key DA-DLs properties. The findings reveal that our plasma model can exhibits both compressive and rarefactive DA-DLs, depending on the nonextensive parameter q. Also, the results indicate that in both sub-sonic and supra-sonic scenarios, the amplitude of the DA-DLs structure rises as the nonextensive parameter decreases. Additionally, it is observed that, for a constant value of the nonextensive parameter q, the amplitude of the DA-DLs structure increases with higher Mach numbers. This investigation, prompted by observations in space and laboratory plasmas containing non-Maxwellian particles alongside trapped particles, has the potential to complement and offer fresh insights into previous works on solitary waves in plasma.
Design and analysis of image encryption based on memristor chaotic systems with hidden attractors
Authors: Ding Pengfei , Wang Zixuan , Li Ke
Published: June 2024

Chaotic systems with hidden attractors are important research hotspots in nonlinear science. In recent years, continuous chaotic systems with special equilibrium points have been widely studied, especially continuous chaotic systems without equilibrium points. A four-dimensional chaotic system devoid of equilibrium point is proposed by using a composite cosine piecewise-linear (COS-PWL)function and a memristor model based on the modified Sprott-C system. The dynamical behaviors of the new system are studied through numerical analysis methods. The results reveal it is extremely sensitive to control parameters as well as initial conditions, which make it particularly suitable for application to image encryption algorithms. In light of these findings, a novel image encryption algorithm is introduced. This algorithm integrates the new four-dimensional chaotic system with ribonucleic acid (RNA) coding technology. Furthermore, the simulation results and security analyses validate the rationality of the encryption mechanism and the robustness of the encryption security of the proposed image encryption algorithm.
Cross-channel image encryption algorithm on the basis of a conservative hyperchaotic system
Authors: Zhao Jingjing , Sun Xu , Sun Baichao , Fan Zhenyi , Du Baoxiang
Published: June 2024

In image encryption, the traditional encryption means of scrambling and diffusion are widely used, but they fail to completely eliminate the correlation between the channels of the ciphertext image and still exist security risks. The selecting channel and position scrambling and cross-channel S-shaped diffusion methods proposed in this study push the encryption to a new depth. Compared with ordinary methods, it is more thorough in disrupting pixel positions, increases the complexity of pixel relationships between different channels, and substantially improves the unpredictability of encryption. To support this approach, we design a four-dimensional conservative hyperchaotic system with a very large hyperchaotic interval, which combines the high randomness of the conservative system and the broad key-space property of the hyperchaotic system, effectively defending against the risk of phase-space reconstruction aroused by missing attractors and reducing the possibility of being cracked. We deeply analyze the dynamic properties of the system by means of phase diagrams, bifurcation diagrams and Lyapunov exponents. The cross-channel scrambling and diffusion encryption algorithm designed based on this system not only ensures the security of image information during transmission, but also greatly enhances the ability to resist various attacks. The proposal of this method undoubtedly brings a secure solution to the field of image encryption.
Numerical exploration of electroosmotically regulated squeezing rotating flow of TiO2/water nanofluid in a parallel plate channel under triple diffusion convection
Authors: Akram Javaria , Akbar Noreen Sher , Pervaiz Hina , Mehmood Rashid
Published: June 2024

The basic motive of this article gives a rudimentary insight into the triple diffusive convective flow of ionic aqueous solution-based titanium dioxide (TiO2) nanofluid amidst two rotating parallel plates. The lower plate is stationary and permeable, allowing the lateral suction/injection of the fluid, while the upper plate is impermeable and moves towards the lower plate. The fluid flow is explored under the simultaneous implementation of electric and magnetic forces. The presence of axial electric force across the plates with an ionic solution between them generates the electroosmotic phenomenon. The Oberbeck-Boussinesq approximation is utilized to include the solutal buoyancy forces occurring due to the concentration gradient of two different solutes. The appropriate similarity transformation is used to reform the governing equations which are resolved using the built-in numerical solver bvp4c of MATLAB. The computations reveal that velocity in the case of injective flow is larger than in the case of suction through the bottom plate. The forwarding electric field contributes to the primary velocity profile at the lower plate while velocity declines near the top plate. For solutes 1 and 2, the modified Dufour number and Dufour Lewis numbers have an opposing effect on the Nusselt number at the lower and upper plates.
The study of electron mobility on ultra-scaled silicon nanosheet FET
Authors: Liu Tongfei , Rezaei Ali , Yang Kaige , Fan Xuge , Acharya Pranav , Georgiev Vihar , Asenov Asen , Ding Jie
Published: June 2024

The nanosheet FET (NSFET) is the successor to FinFET, and its mobility significantly affects device performance. In this paper, we investigate the impact of phonon (ph) and surface roughness (SR) scattering on the electron mobility of n-type silicon NSFETs. The effects of channel width, thickness, and doping concentrations on NSFETs' mobility are also analyzed. Non-Equilibrium Green’s Function (NEGF) solver which incorporates scattering mechanisms using the self-energy formulation is employed. The mobility behavior in NSFETs is strongly affected by ph scattering and SR scattering. As for ultrathin nanosheets, severe mobility degradation is dominated by SR scattering. The mobility is slightly affected by the doping concentrations. Simulation results provide guidance to researchers and industry in understanding and predicting the variation of mobility under the trend of continuous scaling.
A Quick Guide to Nearby Young Associations
Authors: Gagné Jonathan
Published: June 2024

Nearby associations of stars which are coeval are important benchmark laboratories because they provide robust measurements of stellar ages. The study of such coeval groups makes it possible to better understand star formation by studying the initial mass function, the binary fraction or the circumstellar disks of stars, to determine how the initially dense populations of young stars gradually disperse to form the field population, and to shed light on how the properties of stars, exoplanets and substellar objects evolve with distinct snapshots along their lifetime. The advent of large-scale missions such as Gaia is reshaping our understanding or stellar kinematics in the Solar neighborhood and beyond, and offers the opportunity to detect a large number of loose, coeval stellar associations for the first time, which evaded prior detection because of their low density or the faintness of their members. In parallel, advances in detection and characterization of exoplanets and substellar objects are starting to unveil the detailed properties of extrasolar atmospheres, as well as population-level distributions in fundamental exoplanet properties such as radii, masses, and orbital parameters. Accurate ages are still sparsely available to interpret the evolution of both exoplanets and substellar objects, and both fields are now ripe for detailed age investigations because we are starting to uncover ever-closer low-density associations that previously escaped detection, as well as exoplanets and ever lower-mass members of more distant open clusters and star-forming regions. In this paper, we review some recent advances in the identification and characterization of nearby associations, the methods by which stellar ages are measured, and some of the direct applications of the study of young associations such as the emergent field of isolated planetary-mass objects.
Revisiting the

N
=
1

supersymmetric trinification models from intersecting D6-branes
Authors: Mansha Adeel , Li Tianjun , Sabir Mudassar
Published: June 2024

We revisit the construction of the

N
=
1

supersymmetric trinification models with gauge group U(3)
C
× U(3)
L
× U(3)
R
in Type IIA string theory on

T

6

/

(

Z

2

×

Z

2

)

orientifold with intersecting D6-branes. The non-trivial K-theory conditions and tadpole cancellation conditions severely restrict the number of allowed models even for the case of rectangular two-tori. Using a supervised search algorithm, we find a few four-family models where the highest wrapping number is 2. For these models, we present the complete particle spectra and the gauge coupling relations at the string-scale.
Exploration of heavy Higgs bosons at a 100 TeV hadron collider withinthe semi-constrained next-to-minimal supersymmetric standard model*
Authors: Wang 王 Kun 坤 , Tian 田 Pengfu 鹏夫 , Zhu 朱 Jingya 经亚
Published: June 2024

In this study, we explore the detectability of heavy Higgs bosons in the

channel at a 100 TeV hadron collider within the semi-constrained next-to-minimal supersymmetric standard model. We calculate their production cross sections and decay branching ratios and compare them with simulation results from literature. We focus on the heavy doublet-dominated CP-even Higgs H and CP-odd Higgs A, with mass limits set below 10 TeV to ensure detectability. At a collider with an integrated luminosity of 3 ab

, the potential for detecting heavy Higgs bosons varies significantly with their mass and

. Heavy Higgs bosons with masses below 2 TeV are within the testable range, while those heavier than 7 TeV are below the exclusion and discovery thresholds, rendering them undetectable. For masses between 2 and 7 TeV, heavy Higgs bosons with

smaller than 20 can be detected, whereas those with

larger than 20 are beyond the current discovery or exclusion capabilities.
Overview of fast particle experiments in the first MAST Upgrade experimental campaigns
Authors: Rivero-Rodríguez J.F. , McClements K.G. , Fitzgerald M. , Sharapov S.E. , Cecconello M. , Crocker N.A. , Dolby I. , Dreval M. , Fil N. , Galdón-Quiroga J. , García-Muñoz M. , Blackmore S. , Heidbrink W. , Henderson S. , Jackson A. , Kappatou A. , Keeling D. , Liu D. , Liu Y.Q. , Michael C. , Oliver H.J.C. , Ollus P. , Parr E. , Prechel G. , Rhodes T. , Ryan D. , Shi P. , Vallar M. , Velarde L. , Williams T. , Wong H. ,   the EUROfusion Tokamak Exploitation Team,   the MAST-U Team
Published: June 2024

MAST-U is equipped with on-axis and off-axis neutral beam injectors (NBI), and these external sources of super-Alfvénic deuterium fast-ions provide opportunities for studying a wide range of phenomena relevant to the physics of alpha-particles in burning plasmas. The MeV range D-D fusion product ions are also produced but are not confined. Simulations with the ASCOT code show that up to 20% of fast ions produced by NBI can be lost due to charge exchange (CX) with edge neutrals. Dedicated experiments employing low field side (LFS) gas fuelling show a significant drop in the measured neutron fluxes resulting from beam-plasma reactions, providing additional evidence of CX-induced fast-ion losses, similar to the ASCOT findings. Clear evidence of fast-ion redistribution and loss due to sawteeth (ST), fishbones (FB), long-lived modes (LLM), Toroidal Alfvén Eigenmodes (TAE), Edge Localised Modes (ELM) and neoclassical tearing modes (NTM) has been found in measurements with a Neutron Camera (NCU), a scintillator-based Fast-Ion Loss Detector (FILD), a Solid-State Neutral Particle Analyser (SSNPA) and a Fast-Ion Deuterium-α (FIDA) spectrometer. Unprecedented FILD measurements in the range of 1–2 MHz indicate that fast-ion losses can be also induced by the beam ion cyclotron resonance interaction with compressional or global Alfvén eigenmodes (CAEs or GAEs). These results show the wide variety of scenarios and the unique conditions in which fast ions can be studied in MAST-U, under conditions that are relevant for future devices like STEP or ITER.
Detection of pathogenic bacteria and biomarkers in lung specimens from cystic fibrosis patients
Authors: Tolle James J , Jadhao Samadhan , Patel Brijesh , Sun Heying , Eastman Susan , Hartert Tina , Ku David N , Anderson Larry J
Published: June 2024

Diagnosing lung infections is often challenging because of the lack of a high-quality specimen from the diseased lung. Since persons with cystic fibrosis are subject to chronic lung infection, there is frequently a need for a lung specimen. In this small, proof of principle study, we determined that PneumoniaCheckTM, a non-invasive device that captures coughed droplets from the lung on a filter, might help meet this need. We obtained 10 PneumoniaCheckTM coughed specimens and 2 sputum specimens from adult CF patients hospitalized with an exacerbation of their illness. We detected amylase (upper respiratory tract) with an enzymatic assay, surfactant A (lower respiratory tract) with an immunoassay, pathogenic bacteria by PCR, and markers of inflammation by a Luminex multiplex immunoassay. The amylase and surfactant A levels suggested that 9/10 coughed specimens were from lower respiratory tract with minimal upper respiratory contamination. The PCR assays detected pathogenic bacteria in 7 of 9 specimens and multiplex Luminex assay detected a variety of cytokines or chemokines. These data indicate that the PneumoniaCheckTM coughed specimens can capture good quality lower respiratory tract specimens that have the potential to help in diagnosis, management and understanding of CF exacerbations and other lung disease.
Network mapping of climate change priorities in USA: golden cut bipolar q-ROFSs
Authors: Dinçer Hasan , Yüksel Serhat , Mikhaylov Alexey , Pinter Gabor , Grigorescu Adriana
Published: June 2024

The purpose of this study is to identify affordable and clean energy-based climate change priorities in USA for the sustainable development. Five factors that can influence clean energy-based sustainable development are weighted with Multi step wise weight assessment ratio analysis approach. Furthermore, selected priorities for the climate change goal of sustainable development are evaluated. The novelty of this study is presenting affordable and clean energy-based climate change priorities for the sustainable development by considering an original fuzzy decision-making model based on M-SWARA and ELECTRE with bipolar q-rung orthopair fuzzy sets and golden cut. Because they include both membership, non-membership and hesitancy, it can be possible to perform more effective analysis. This issue helps to reach more reliable results. The main findings solve the problem that government support has the greatest weight with respect to the clean energy-based sustainable development.
Dynamic PI-PD cascaded MPPT controller for SPV system with battery charging circuit
Authors: Kumari Sweety , Kumar Ramesh
Published: June 2024

This paper proposes a dynamic maximum power point tracking (MPPT) controller for a solar photovoltaic (SPV) system with a battery charging circuit. The voltage and current, and consequently the maximum available power of SPV panels vary based on environmental conditions. To operate SPV system at maximum power point under different weather conditions, a cascaded (PI-PD) controller with PSO gain scheduling is suggested in this paper. Also, the FOPI control is applied to an accurate dynamic model of the buck converter to function as a charge controller. For tuning the FOPI controller parameters, a stochastic inertia weight GWO algorithm is employed which maintains an appropriate balance between detection and hunting strategies, and gives the fittest wolf position during iterations. The proposed algorithm is compared with the original GWO algorithm to show its superiority. The accuracy of the proposed cascaded controller used in the SPV system to find MPP ranges from 96.05% to 98.87%. The goal of this study is to operate the SPV panel at maximum power point under variable atmospheric conditions to increase efficiency at a lower cost. It also provides appropriate current and voltage for faster battery charging, thereby increasing the life span of the battery. The system is implemented and analyzed in MATLAB/Simulink, and results are validated.
‘Like Solving a Jigsaw Puzzle’: The Role of Journal Writing in Social Work Students’ Professional Development
Authors: Segev Einav
Published: June 2024

Social work education focuses on preparing students for the profession. To this end, many educators utilise reflective journals in their courses. Reflective journaling is recognised in the literature as essential for the construction of students’ professional identity, yet few studies have explored how journals serve this purpose and the specific ways in which journal writing contributes to shaping social workers’ professional identity. This qualitative phenomenological study examined thirty Israeli social work students in their final year of undergraduate studies, before entering the field. Written during a practicum course, their journals were thematically analysed, revealing four themes of journal writing: (i) using personal experiences to construct a professional identity; (ii) acquiring professional concepts and skills by linking theory to practice; (iii) journal writing as professional retrospection; and (iv) journal writing as a safe resonant space for self-development. The discussion elaborates on the significance of each theme for the development of students’ professional identity.
Chronic inflammation with microglia senescence at basal forebrain: impact on cholinergic deficit in Alzheimer’s brain haemodynamics
Authors: Liu Dong , Hsueh Shih Chang , Tweedie David , Price Nate , Glotfelty Elliot , Lecca Daniela , Telljohann Richard , deCabo Rafael , Hoffer Barry J , Greig Nigel H
Published: June 2024

Cholinergic innervation in the brain is involved in modulating neurovascular function including cerebral blood flow haemodynamics in response to neuronal activity. Cholinergic deficit is associated with pathophysiology in Alzheimer’s disease, albeit the aetiology remains to be clarified. In the current study, neocortex cerebral blood flow response to acetylcholine was evaluated by Laser-Doppler Flowmetry (LDF) in 3xTgAD Alzheimer’s disease model) and wild-type mice of two age groups. The peak of cerebral blood flow to acetylcholine (i.v.) from baseline levels (% ΔrCBF) was higher in young 3xTgAD versus in wild-type mice (48.35; 95% CI:27.03–69.67 versus 22.70; CI:15.5–29.91, P < 0.05); this was reversed in old 3xTgAD mice (21.44; CI:2.52–40.35 versus 23.25; CI:23.25–39). Choline acetyltransferase protein was reduced in neocortex, while cerebrovascular reactivity to acetylcholine was preserved in young 3×TgAD mice. This suggests endogenous acetylcholine deficit and possible cholinergic denervation from selected cholinergic nuclei within the basal forebrain. The early deposition of tauopathy moieties (mutant hTau and pTau181) and its coincidence in cholinergic cell clusters (occasionaly), were observed at the basal forebrain of 3xTgAD mice including substantia innominate, nucleus Basalis of Meynert and nucleus of horizontal limb diagonal band of Broca. A prominent feature was microglia interacting tauopathy and demonstrated a variety of morphology changes particularly when located in proximity to tauopathy. The microglia ramified phenotype was reduced as evaluated by the ramification index and Fractal analysis. Increased microglia senescence, identified as SASP (senescence-associated secretory phenotype), was colocalization with p16Ink4ɑ, a marker of irreversible cell-cycle arrest in old 3xTgAD versus wild-type mice (P = 0.001). The p16Ink4ɑ was also observed in neuronal cells bearing tauopathy within the basal forebrain of 3xTgAD mice. TNF-ɑ, the pro-inflammatory cytokine elevated persistently in microglia (Pearson’s correlation coefficient = 0.62) and the loss of cholinergic cells in vulnerable basal forebrain environment, was indicated by image analysis in 3xTgAD mice, which linked to the cholinergic deficits in neocortex rCBF haemodynamics. Our study revealed the early change of CBF haemodynamics to acetylcholine in 3xTgAD model. As a major effector of brain innate immune activation, microglia SASP with age-related disease progression is indicative of immune cell senescence, which contributes to chronic inflammation and cholinergic deficits at the basal forebrain. Targeting neuroinflammation and senescence may mitigate cholinergic pathophysiology in Alzheimer’s disease.
Aperiodic and periodic components of oscillatory brain activity in relation to cognition and symptoms in pediatric ADHD
Authors: Dakwar-Kawar Ornella , Mentch-Lifshits Tal , Hochman Shachar , Mairon Noam , Cohen Reut , Balasubramani Pragathi , Mishra Jyoti , Jordan Josh , Cohen Kadosh Roi , Berger Itai , Nahum Mor
Published: June 2024

Children with attention-deficit/hyperactivity disorder show deficits in processing speed, as well as aberrant neural oscillations, including both periodic (oscillatory) and aperiodic (1/f-like) activity, reflecting the pattern of power across frequencies. Both components were suggested as underlying neural mechanisms of cognitive dysfunctions in attention-deficit/hyperactivity disorder. Here, we examined differences in processing speed and resting-state-Electroencephalogram neural oscillations and their associations between 6- and 12-year-old children with (n = 33) and without (n = 33) attention-deficit/hyperactivity disorder. Spectral analyses of the resting-state EEG signal using fast Fourier transform revealed increased power in fronto-central theta and beta oscillations for the attention-deficit/hyperactivity disorder group, but no differences in the theta/beta ratio. Using the parameterization method, we found a higher aperiodic exponent, which has been suggested to reflect lower neuronal excitation-inhibition, in the attention-deficit/hyperactivity disorder group. While fast Fourier transform–based theta power correlated with clinical symptoms for the attention-deficit/hyperactivity disorder group only, the aperiodic exponent was negatively correlated with processing speed across the entire sample. Finally, the aperiodic exponent was correlated with fast Fourier transform–based beta power. These results highlight the different and complementary contribution of periodic and aperiodic components of the neural spectrum as metrics for evaluation of processing speed in attention-deficit/hyperactivity disorder. Future studies should further clarify the roles of periodic and aperiodic components in additional cognitive functions and in relation to clinical status.
Division and spreading of attention across color
Authors: Martinovic Jasna , Boyanova Antoniya , Andersen Søren K
Published: June 2024

Biological systems must allocate limited perceptual resources to relevant elements in their environment. This often requires simultaneous selection of multiple elements from the same feature dimension (e.g. color). To establish the determinants of divided attentional selection of color, we conducted an experiment that used multicolored displays with four overlapping random dot kinematograms that differed only in hue. We manipulated (i) requirement to focus attention to a single color or divide it between two colors; (ii) distances of distractor hues from target hues in a perceptual color space. We conducted a behavioral and an electroencephalographic experiment, in which each color was tagged by a specific flicker frequency and driving its own steady-state visual evoked potential. Behavioral and neural indices of attention showed several major consistencies. Concurrent selection halved the neural signature of target enhancement observed for single targets, consistent with an approximately equal division of limited resources between two hue-selective foci. Distractors interfered with behavioral performance in a context-dependent fashion but their effects were asymmetric, indicating that perceptual distance did not adequately capture attentional distance. These asymmetries point towards an important role of higher-level mechanisms such as categorization and grouping-by-color in determining the efficiency of attentional allocation in complex, multicolored scenes.
Contributions of repeated learning to memory in humans: insights from single-neuron recordings in the hippocampus and amygdala
Authors: Xiao Xinyu , Li Jin , Cao Dan , Zhang Jiaqi , Jiang Tianzi
Published: June 2024

Despite the well-established phenomenon of improved memory performance through repeated learning, studies investigating the associated neural mechanisms have yielded complex and sometimes contradictory findings, and direct evidence from human neuronal recordings has been lacking. This study employs single-neuron recordings with exceptional spatial–temporal resolution, combined with representational similarity analysis, to explore the neural dynamics within the hippocampus and amygdala during repeated learning. Our results demonstrate that in the hippocampus, repetition enhances both representational specificity and fidelity, with these features predicting learning times. Conversely, the amygdala exhibits heightened representational specificity and fidelity during initial learning but does not show improvement with repetition, suggesting functional specialization of the hippocampus and amygdala during different stages of the learning repetition. Specifically, the hippocampus appears to contribute to sustained engagement necessary for benefiting from repeated learning, while the amygdala may play a role in the representation of novel items. These findings contribute to a comprehensive understanding of the intricate interplay between these brain regions in memory processes.

Significance statement  For over a century, understanding how repetition contributes to memory enhancement has captivated researchers, yet direct neuronal evidence has been lacking, with a primary focus on the hippocampus and a neglect of the neighboring amygdala. Employing advanced single-neuron recordings and analytical techniques, this study unveils a nuanced functional specialization within the amygdala-hippocampal circuit during various learning repetition. The results highlight the hippocampus’s role in sustaining engagement for improved memory with repetition, contrasting with the amygdala’s superior ability in representing novel items. This exploration not only deepens our comprehension of memory enhancement intricacies but also sheds light on potential interventions to optimize learning and memory processes.