bluuebunny/crossref_metadata_2025 huggingface dataset:
Management Technique Against Spodoptera Exigua (Hübner) in the Different Elevation of Shallot
Authors: Nur Aminah Sri , Abdullah Tamrin , Fajriani Nidaul
Published: March 2024

Spodoptera exigua (Hübner) (beet armyworm) as the destructive insect pest in shallot. The purpose of the research is to determine difference of S. exigua management techniques based elevation in two different plantation. The research was conducted by collected primary data from shallot farmers in Anggeraja District (Mataran 650 m asl and Pekalobean 840 m asl) and Baraka District (Perarian 1.014 m asl and Parinding 638 m asl). The two places used in research is the center of shallot plantation in Enrekang Regency, South Sulawesi. The data was obtained by survey used 15 shallot farmers in each village. The results showed the control techniques different according to the elevation. S. exigua controlled by nylon nets only in areas < 700 m asl (Mataran 53% and Parinding 27%). In areas with elevation > 700 m asl (result of light trap in Mataran by 87% and Parinding by 80%). In the elevation > 700 m asl (result of light trap in Pekalobean about 100% and Perangian 0%). The mechanical control techniques by squeezing insect pest eggs at elevation of > 700 m asl (Pekalobean 93% and Perangian 6%), elevation of < 700 m asl (Mataran and Parinding both showed 60%). Conclusion of research, the control techniques different based on the elevation of shallot plantation.
The Potential of Cigarette Butt Extract Against Bemisia Tabaci in Tomato
Authors: Aminah Sri Nur , Melina Melina , Kusuma Adelia
Published: March 2024

Innovation used cigarette butt extract added papaya leaves and banana stem against Bemisia tabaci Gennadius (Hemiptera: Aleyrodidae) become alternative reduce synthetic pesticide application in horticultural plant. The liquid do not produce residues on plant or soil. The aim of the research is to determine the effectiveness of cigarette butt, papaya leaves and banana stems in controlling B. tabaci on tomato. The research was conducted at the Basic Chemistry Laboratory, Faculty of Mathematics and Natural Sciences, Hasanuddin University to prepare cigarette butt, nicotine maceration and nutrient content tests. Field trials were conducted at the experimental site of the Department of Plant Pests and Diseases, Faculty of Agriculture, Hasanuddin University from September to December 2022. Five types of treatment applied on tomato plants: P0 (control), P1 (cigarette butt extract + papaya leaves), P2 (cigarette butt extract), P3 (banana stem waste) and P4 (cigarette butt extract + banana stem + papaya leaves). The result showed different results of each treatment. The highest B. tabaci attacked intensity at P0 (100%) and P3 (100%) while the lowest at P4 (33.3%). The highest growth height of tomato plant showed in P4 (33.3 cm) and the lowest in P3 (28.8 cm). The highest number of tomato leaves in P4 (49.7 leaves) and the lowest in P3 (36.3 leaves). The result indicated combine extract of cigarette butts, banana stem and papaya leaves increasing plant health and able reduce the attack intensity of B. tabaci.
The vanishing learning rate asymptotic for linearL2-boosting
Authors: Dombry Clément , Esstafa Youssef
Published: March 2024

We investigate the asymptotic behaviour of gradient boosting algorithms when the learning rate converges to zero and the number of iterations is rescaled accordingly. We mostly considerL2-boosting for regression with linear base learner as studied in P. Bühlmann and B. Yu,J. Am. Statist. Assoc.98(2003) 324–339 and analyze also a stochastic version of the model where subsampling is used at each step (J.H. Friedman,Computat. Statist. Data Anal.38(2002) 367–378). We prove a deterministic limit in the vanishing learning rate asymptotic and characterize the limit as the unique solution of a linear differential equation in an infinite dimensional function space. Besides, the training and test error of the limiting procedure are thoroughly analyzed. We finally illustrate and discuss our result on a simple numerical experiment where the linearL2-boosting operator is interpreted as a smoothed projection and time is related to its number of degrees of freedom.
Entspannung für Körper und Geist – Restorative Yoga bei Krebs
Authors: Gebauer Jacqueline
Published: March 2024

Yoga wird immer beliebter. Doch es eignet sich nicht nur für gesunde und körperlich fitte Menschen – auch jene mit einer Krebserkrankung profitieren, insbesondere vom Restorative Yoga. Die darin ausgeführten Körperhaltungen lassen sich selbstständig durchführen und verleihen den Patient*innen mehr Selbstwirksamkeit, steigern die Lebensqualität und verbessern das Wohlbefinden.
Osteopathie und evidenzbasierte Medizin, Teil 2: Kritik an der
EBM
Authors: Luthin Dirk
Published: March 2024

Die EBM ist bestrebt, die Medizin stetig zu verbessern 1. Aus allen uns zur Verfügung
stehenden Quellen sollen Entscheidungen zu einzelnen medizinischen Fragestellungen
nach den besten vorliegenden Belegen getroffen werden 2. Der Patient steht dabei
immer im Zentrum aller Überlegungen 3. Das klingt doch toll! Aber warum tun wir uns
so schwer mit der EBM? Warum rufen wir in der Osteopathie nicht „Hurra!“? Stattdessen
müssen wir uns wiederholt dafür rechtfertigen, wenn wir in der osteopathischen Community
über EBM sprechen wollen? 4 Wie kann das sein?
Stable compounds may have stored helium and xenon during Earth’s formation
Authors: Thompson Avery
Published: March 2024

A collection of iron halide compounds could account for the abundance of noble gasses in Earth’s deep interior.
Pointwise modulus of continuity of the Lyapunov exponent and integrated density of states for analytic multi-frequency quasi-periodic M(2,C) cocycles
Authors: Powell M.
Published: March 2024

It is known that the Lyapunov exponent for multifrequency analytic cocycles is weak-Hölder continuous in cocycle for certain Diophantine frequencies, and that this implies certain regularity of the integrated density of states in energy for Jacobi operators. In this paper, we establish the pointwise modulus of continuity in both cocycle and frequency and obtain analogous regularity of the integrated density of states in energy, potential, and frequency.
New similarity laws reduced from local Mach factors in longitudinal–transverse force theory
Authors: Xue Fanrong , Zhao Ming , Zou Shufan , Zhu Jinyang , Liu Wei , Deng Xiaogang
Published: March 2024

The rapid advancement in aeronautics has led to the emergence of intricate dynamic processes and structures, such as vortices, shock waves, flow separation, and turbulence, resulting from the flow around airfoils. Acquiring a profound understanding of these local structures and unraveling the physical mechanisms underlying flow phenomena represents an essential and challenging issue in the field of flight science. In this research, the longitudinal–transverse force theory (L–T force theory), as proposed by previous researchers, is employed to quantitatively assess contributions of local flow structures to aerodynamic forces. Specifically, the research encompasses an analysis of steady and viscous compressible flow over the Royal Aircraft Establishment (RAE)-2822 airfoil, with free-stream Mach number (M∞) ranging from 0.1 to 2.0. We comprehensively estimate longitudinal forces (L-force) and transverse forces (T-force), along with effects of compressibility on aerodynamic forces. Furthermore, recognizing the necessity for high-precision algorithms in the computation of L–T force theory, this investigation utilizes a sixth-order accuracy algorithm for spatial discretization and differencing. Our analysis reveals that the influence of compressibility and the contributions of L-forces to aerodynamic forces become increasingly significant in high M∞ regimes as shearing processes weaken. Additionally, a new similarity law is established to characterize aerodynamic forces acting on the RAE-2822 airfoil based on a novel moderating factor, ζmo, reduced from local Mach factors in the L–T force theory. This coefficient, ζmo, elucidates the degree to which transverse processes are modulated by longitudinal processes. Various angles of attack α and airfoils have also been analyzed, including National Advisory Committee for Aeronautics (NACA)0012 and NACA0006, by introducing a parameter denoted as κ to further validate the universality of the new similarity laws. The results demonstrate a high degree of accuracy in fitting the aerodynamic coefficients.
Detection of Covid-19 based on convolutional neural networks using pre-processed chest X-ray images
Authors: A. M. Arul Raj , R. Sugumar , S. Padmkala , Giri Jayant , Ahmad Naim , Badawy Ahmed Said
Published: March 2024

The global catastrophe known as COVID-19 has shattered the world’s socioeconomic structure. Effective and affordable diagnosis techniques are crucial for better COVID-19 therapy and the eradication of bogus cases. Due to the daily upsurge in cases, hospitals only have a small supply of COVID-19 test kits. The study describes a deep Convolutional Neural Network (CNN) design for categorizing chest x-ray images in the diagnosis of COVID-19. The lack of a substantial, high-quality chest x-ray picture collection made efficient and exact CNN categorization problematic. The dataset has been pre-processed using an image enhancement strategy to provide an effective training dataset for the proposed CNN model to achieve performance. The proposed model achieves 99.73% of accuracy, 98.95% of specificity, 99.47% of precision, 99.62% of sensitivity, and 98.71% of F1 score. A comparative study between the proposed model and numerous CNN-based COVID-19 detection algorithms is carried out to demonstrate that it outperforms other models. When evaluated on a separate dataset, the suggested model excelled over all other models, generally and explicitly.
Spectral feature extraction of rocket exhaust plume using spectral proper orthogonal decomposition
Authors: Sun Ao , Niu Qinglin , Dong Shikui
Published: March 2024

The spectral characterization of flow-field parameters provides a new perspective for understanding the spatiotemporal evolution of unsteady supersonic exhaust plumes and for extracting typical structures. In this study, a large-eddy simulation is performed to calculate the three-dimensional unsteady supersonic plume flow field of rocket engines, and a spectral proper orthogonal decomposition (SPOD) method with a spatiotemporal separation is established. This approach is used to extract the coherent structural features of the unsteady exhaust plume flow field and analyze the mode space structure at different frequencies. The three-dimensional reconstruction and denoising of the exhaust plume flow-field parameters can be achieved via the frequency- and time-domain reconstructions of the SPOD algorithm and oblique projection method, respectively. The ground rocket exhaust plume of ballistic evaluation motor-II is analyzed. The results indicate that the SPOD method can effectively extract the single-frequency mode structure of the reactive supersonic flow field, and that low-order behavior appears in the m = 0 and m = 1 azimuth modes. The potential core exhibits a high-frequency wave-packet structure that is affected by shock waves and shear layers. Time-domain reconstruction based on the oblique projection method facilitates the capture of the dynamic characteristics of the flow field. For the first-order SPOD mode, the frequency- and time-domain reconstruction errors are 3.3% and 1.5%, respectively. The frequency-domain reconstruction method exhibits a 4% improvement in denoising ability compared to low-pass filters. This study provides a novel method for the spectral characterization and spatiotemporal feature extraction of supersonic exhaust plume flow fields.
Elasticity and rheology of auxetic granular metamaterials
Authors: Haver Daan , Acuña Daniel , Janbaz Shahram , Lerner Edan , Düring Gustavo , Coulais Corentin
Published: March 2024

The flowing, jamming, and avalanche behavior of granular materials is satisfyingly universal and vexingly hard to tune: A granular flow is typically intermittent and will irremediably jam if too confined. Here, we show that granular metamaterials made from particles with a negative Poisson’s ratio yield more easily and flow more smoothly than ordinary granular materials. We first create a collection of auxetic grains based on a re-entrant mechanism and show that each grain exhibits a negative Poisson’s ratio regardless of the direction of compression. Interestingly, we find that the elastic and yielding properties are governed by the high compressibility of granular metamaterials: At a given confinement, they exhibit lower shear modulus, lower yield stress, and more frequent, smaller avalanches than materials made from ordinary grains. We further demonstrate that granular metamaterials promote flow in more complex confined geometries, such as intruder and hopper geometries, even when the packing contains only a fraction of auxetic grains. Moreover, auxetic granular metamaterials exhibit enhanced impact absorption. Our findings blur the boundary between complex fluids and metamaterials and could help in scenarios that involve process, transport, and reconfiguration of granular materials.
More than food: Why restoring the cycle of organic matter in sustainable plant production is essential for the One Health nexus
Authors: Morris Cindy E. , Radici Andrea , Meynard Christine N. , Sauvion Nicolas , Nedellec Claire , Geniaux Ghislain , Soubeyrand Samuel
Published: March 2024

One Health professes that the health of organisms is interconnected through the exploitation of planetary resources, trade, and transportation, in particular. The impetus for the emergence of this concept in the early 2000s was knowledge of the epidemiology of zoonotic diseases that put humans at risk to diseases carried by animals. In spite of the intended comprehensiveness of One Health, the place of plant health in this concept is vague, and few issues about plant health are debated in the scientific literature related to One Health. Here, we explore the history of concepts related to One Health in an attempt to understand why there is this schism between the plant sciences and the medical and veterinary sciences beyond the prism of zoonotic diseases. We illustrate the rich history of concepts in the plant sciences concerning the oneness of plants, animals and humans, and the debates about the definition and scope of sustainability that are precursors to One Health. These concepts continue to be foundations for research and development, particularly for food security and food safety. The emergence of these concepts from plant sciences was based on fundamental understanding of the food web – where plants are food for humans and animals whose digestive processes create important resources for plant growth and health. Yet, this latter part of the food web – recycling of manures in particular – was ruptured during modernization of agriculture. We explain how attaining sustainable One Health depends on restoring this part of the food web via soil stewardship, whose principal guarantors are the ensemble of actors in plant production.
Foodborne pathogens and their association with well-known enteric infections and emerging non-communicable disorders
Authors: Afshari Asma , Rezaee Ramin , Shakeri Golshan
Published: March 2024

Annually, numerous new cases of communicable and non-communicable diseases are diagnosed, and consumption of food/water contaminated with different levels of microbial and chemical agents is responsible for a considerable portion of this burden. Generally, acute foodborne diseases are readily identified, while chronic deleterious effects are often neglected and rarely blamed for health consequences. The present work narrates a journey from consuming foods containing bacteria/bacterial toxins to developing chronic diseases, making humans more susceptible to emerging diseases. We aim to shed light on the chronic effects of foodborne diseases, particularly gastrointestinal disorders (GIDs) and inflammatory bowel diseases (IBDs), which are common chronic symptoms of most foodborne diseases.
Treatment of seeds by cold ambient air plasma: combining impedance measurements with water sorption modeling to understand the impact of seed hydration
Authors: August Jonas , Bailly Christophe , Dufour Thierry
Published: March 2024

In this article, we focus on the plasma seed interaction and more specifically-on the feedback exerted by the seeds on the plasma properties. Dormant Arabidopsis seeds with different water contents (WC), namely 3%DW, 10%DW and 30%DW were exposed to cold ambient air plasma (C2AP) generated in a dielectric barrier device (DBD). It is found that increasing WC enhances the capacitive current of the DBD, generates a greater number of low energy streamers (characterized by current peaks lower than 10 mA) that preferentially interplay with the seeds. Since the resistive and capacitive components of the seeds modify the C2AP electrical properties, impedance measurements (also called LCRmetry) have been carried out to measure their main dielectric parameters before/after plasma exposure (seeds resistance, capacitance, complex relative permittivity, tangent loss and conductivity). It appears that WC significantly changes dielectric losses at low frequencies (<1 kHz) due to polarization relaxation of the polar molecules (i.e. water). LCRmetry further reveals that C2AP does not substantially alter seeds dielectric parameters, i.e. it neither adds or removes significant amounts of new materials, meaning that the relative starch, protein and lipid contents remain essentially unaffected. However, it cannot be discounted that some bulk properties of the Arabidopsis seeds may be modified, especially regarding their porosity. This characteristic could facilitate penetration of plasma-generated reactive oxygen species into the internal seed tissues, leading to the grafting of oxygenated groups. To corroborate this theory, water sorption isotherms have been achieved on Arabidopsis seeds and fitted with four thermodynamic models, including the Brunauer–Emmett–Teller model and the Generalized D’Arcy and Watt model. It is demonstrated that C2AP primarily strengthens water-seed affinity by modifying molecular interactions rather than changing the seed’s moisture layer. This occurs despite a potential decrease in the number of adsorption sites, indicating a significant increase in overall seed hydrophilicity after plasma treatment.
MOF-derived NiCo hydroxide for highly efficient non-enzymatic glucose biosensing
Authors: Sun Shupei , Sun Ping
Published: March 2024

An efficient and robust electrocatalyst is significant for glucose biosensing. The emergence of metal–organic framework (MOF) derived materials opens up new avenues for the development of high-performance glucose sensing catalysts. Herein, MOF derived nickel-cobalt hydroxide supported on conductive copper sheet (NiCo-OH/Cu sheet) is prepared at room temperature. The as-obtained NiCo-OH is endowed with three-dimensional network structure which enables the effective exposure of active materials, sufficient contact between glucose molecule and catalyst. The NiCo-OH/Cu sheet is revealed as good glucose electrochemical sensing material with a wide linear range of 0.05∼6.0 mM and a high sensitivity of 1340 μA mM−1 cm−2. Additionally, the as-fabricated NiCo-OH/Cu sheet displays good anti-interference ability and long-term stability.
Exact solutions and modulation instability analysis of a generalized Kundu-Eckhaus equation with extra-dispersion in optical fibers
Authors: Hussain Ejaz , Asif Ali Shah Syed , Naveed Rafiq Muhammad , Ragab Adham E , Az-Zo’bi Emad A
Published: March 2024

This study aims to examine the nonlinear partial differential equation known as the (1+1)-dimensional generalized Kundu-Eckhaus equation with extra-dispersion, which is used to model the transmission of ultra-short femtosecond pulses in an optical fiber. Two versatile techniques, namely the extended

G
′

G

2

-expansion as well as the extended

exp
(
−
ϕ
(
ξ
)
)

-expansion techniques, are utilized to generate numerous precise answers. Diverse novel collections of exact traveling wave solutions, such as bright solitons, dark solitons, singular solitons, W-shape solutions, M-shape solutions, and rational solutions, are identified as a result. Several of the acquired solutions are interpreted physically through the use of figures. In addition, the modulation instability analysis of the considered equation is performed and presented via 3D and 2D graphs. In the field of nonlinear sciences, the proposed methods have great value and can be applied to other nonlinear evolutionary equations that are used to represent nonlinear physical models.
The impact of successive laser shock peening on surface integrity and residual stress distribution of laser powder-bed fused stainless steel 316L
Authors: Haribaskar R , Kumar T Sampath
Published: March 2024

The utilization of laser shock peening (LSP) in laser powder bed fused (LPBF) stainless steel (SS) 316L components enhances the mechanical characteristics and operational lifespan of the product quality through a significant reduction of residual stress and a noticeable increase in roughness parameters. The key objective of the study is to analyze the influence of consecutive laser shock peening (LSP) without ablative coating and low pulse energy on the surface properties, residual stress distribution, and microhardness of samples produced by LPBF with SS316L material. The surface quality of the sample subjected to consecutive laser shock peening shows a slight deterioration in its condition. This can be attributed to the combined impact of ablative surface and surface damage resulting from the production of high-energy plasma. However, the implementation of successive LSP results in a distinctive enhancement of compressive residual stresses (CRS) that are evenly distributed throughout the central axis and sharp edges. In contrast, the as-built condition exhibits non-uniform stress magnitudes. CRS observed in each LSP iteration exhibits a notable increase, reaching a maximum magnitude of −389 MPa compared to the initial stress level of 165 MPa in the as-built sample. This enhancement can be attributed to the repetitive impact of shock waves on the surface, leading to the formation of plastic deformation. The refinement of surface grains and the presence of favorable residual stresses were proven by the utilization of x-ray diffraction (XRD) studies and the Cos α plot. The XRD investigation also indicated the absence of any newly formed phases or secondary phases. A significant enhancement in microhardness was observed, with an increase of 58.3% achieved after the third consecutive peening process. The successive LSP samples displayed a gradual improvement in electrochemical behavior. Though the amplitude parameters increased after LSP, the increase in wear rate was observed.
A node graph using SEM images for material properties prediction with a case study of composite material
Authors: Chen Shuhui , Yin Aijun , Song Lei
Published: March 2024

Establishing a mapping model between the microstructure and material properties of composite materials is crucial for material development. Scanning electron microscope (SEM) images are widely used for the prediction of material properties. However, the prediction from a single SEM image is independent and does not fully reflect the microstructure characteristics. To address this issue, this paper proposes a node graph construction strategy for SEM images and establishes a multi-graph-based graph attention network (GAT) material property prediction model to achieve the convergence of mutual complementation in microstructure features by using GAT. Firstly, multiple SEM images are constructed into node graphs by a microstructure feature encoder. Next, the microstructure features of multiple SEM images on the node graphs are mutually complemented and converged by using GAT. Finally, the prediction is carried out by using multiple SEM images. The experimental results show that the proposed method shows better performance than other methods.
Electronic and optical characteristics of phosphorus-doped two-dimensional hexagonal boron arsenide: the effects of doping concentration and mechanical strain
Authors: Ertekin Nilüfer
Published: March 2024

The present study investigates the impact of P doping and stretching loads on phonon dispersion, electronic properties, and optical characteristics of P-doped hexagonal boron arsenide (h-BAs(1-x)Px), where the doping level x varies from 0 to 1, employing the density functional theory (DFT) method. The findings reveal that the chemical bonds in h-BAs(1-x)Px monolayers are indeed covalent. Furthermore, an increase in P concentration from 0.0% to 100% leads to enhancement in the band gap, approximately 18.42%. However, regardless of variations in P concentration or the application of tensile strains up to 4%, the electronic nature of h-BAs(1-x)Px remains unaltered. These monolayers continue to exhibit characteristics of a direct band gap semiconductor at the K wave vector. On the other hand, there exists an intricate interplay between strain and optical properties. Investigating the dielectric functions, absorption coefficient, refractive index, and reflectivity coefficient of h-BAs(1-x)Px monolayers provides insights into their behavior in the ultraviolet spectrum.
One dimensional Bose–Einstein condensate under the effect of the extended uncertainty principle
Authors: Benhadjira Abderrahmane , Benkrane Abdelhakim , Bentouila Omar , Benzair Hadjira , Aiadi Kamal Eddine
Published: March 2024

In this study, an analytical investigation was conducted to assess the effects of the extended uncertainty principle (EUP) on a Bose–Einstein condensate (BEC) described by the deformed one-dimensional Gross–Pitaevskii equation (GPE). Analytical solutions were derived for null potential while we used variational and numerical methods for a harmonic oscillator potential. The effects of EUP on stability, probability density, position, and momentum uncertainties of BEC are analyzed. The EUP is found to be applicable for the free dark soliton solution and in the presence of a harmonic potential within specific ranges of the deformation parameter α, while it is not valid for the free bright soliton solution.
Improved humidity sensing performances of boron doped ZnO nanostructured thin films depending on boron concentration
Authors: Algün Gökhan , Alshater Marwa , Akçay Namık
Published: March 2024

This study details the production and analysis of undoped zinc oxide (uZnO) and boron (B) doped zinc oxide nanostructured thin films, with a specific focus on assessing the influence of varying B doping concentrations on humidity sensing performance. The synthesis of undoped ZnO and B doped ZnO nanoparticles was carried out using sol–gel method. B doping concentrations within the ZnO lattice were adjusted to 1, 3, 4, 5, and 10 mol%. Subsequently, nanostructured thin films were obtained through the spin coating technique on glass substrates. X-ray diffraction analysis revealed a hexagonal wurtzite structure for all nanostructured thin films. Notably, a change in preferential orientation from the (002) plane to the (100) plane occurred when B doping concentration exceeded 5 mol%. Scanning electron microscopy showcased nano-sized grains and capillary nanopores on the surface of each thin film. Energy dispersive X-ray spectra confirmed the presence of zinc, oxygen, and boron elements in the nanostructured thin films. Humidity sensing performance was assessed through electrical resistance measurements in the range of 45%–90% relative humidity at room temperature. All fabricated sensors exhibited sensitivity to humidity. Remarkably, the sensor with a 5 mol% B doping concentration demonstrated the highest humidity sensitivity (438.44 times) and the fastest response (2.0 s) and recovery times (14.2 s). The study concluded that the optimal B doping concentration for designing a highly efficient humidity sensor was determined to be 5 mol%. Overall, the study underscores the potential of B doped ZnO nanostructures for humidity sensor applications, given their exceptional sensor performance.
Magnetic membranes based on PVA-SPION for hyperthermia and dielectric applications
Authors: Biju Anjitha , Somakumar Ajeesh Kumar , Joseph Cyriac , Al-Omari Imaddin A , Fernandez Francis Boniface , Varma P R Harikrishna , Narayanan T N , Anantharaman M R
Published: March 2024

Magnetodielectric membranes were spun by electrospinning ferrofluids containing Superparamagnetic Iron Oxide (SPION) in a carrier liquid of Polyvinyl alcohol(PVA) for various loadings of iron oxide. These membranes were characterised using X-ray diffractometer (XRD), Field Emission Scanning Electron Microscopy (FESEM),Vibrational Sample Magnetometry (VSM),Fourier Transform Infrared Spectroscopy (FTIR) and UV–visible spectroscopy (UV–vis) and found to be of good quality having adequate magnetic and dielectric properties. The iron oxide particles were found to be ∼9 nm in size and superparamagnetic in nature. The addition of iron oxide led to a systematic increase in both magnetic and dielectric properties. A maximum saturation magnetization of ∼6.3 emu g−1 and a dielectric constant of ∼50 was obtained for a loading of 40 percentage of Iron oxide. A dielectric transducer was fabricated using the membranes. These membranes also exhibited magnetic hyperthermia as evidenced by magnetic hyperthermia measurements. They are found to be potential candidates for hyperthermia applications as wearables. The method of employing a ferrofluid can be adopted for spinning membranes based on other than PVA/SPION. If the loading is optimised these membranes can be employed as Magnetodielectric transducers.
Deepening gamma-ray point-source catalogues with sub-threshold information
Authors: Amerio Aurelio , Calore Francesca , Serpico Pasquale Dario , Zaldivar Bryan
Published: March 2024

We propose a novel statistical method to extend Fermi-LAT catalogues of high-latitude
 γ-ray sources below their nominal threshold. To do so, we rely on the determination of the
differential source-count distribution of sub-threshold sources which only provides the
statistical flux distribution of faint sources. By simulating ensembles of synthetic skies, we
assess quantitatively the likelihood for pixels in the sky with relatively low-test statistics to
be due to sources, therefore complementing the source-count distribution with spatial information.
Besides being useful to orient efforts towards multi-messenger and multi-wavelength identification
of new γ-ray sources, we expect the results to be especially advantageous for statistical
applications such as cross-correlation analyses.
Deblurring the early Universe: reconstruction of primordial power spectrum from Planck CMB using image analysis techniques
Authors: Sohn Wuhyun , Shafieloo Arman , Hazra Dhiraj Kumar
Published: March 2024

While the simplest inflationary models predict the primordial perturbations to be near scale-invariant, the primordial power spectrum (PPS) can exhibit oscillatory features in many physically well-motivated models. We search for hints of such features via free-form reconstructions of the PPS based on Planck 2018 CMB temperature and polarization anisotropies. In order to robustly invert the oscillatory integrals and handle noisy unbinned data, we draw inspiration from image analysis techniques. In previous works, the Richardson-Lucy deconvolution algorithm for deblurring images has been modified for reconstructing PPS from the CMB temperature angular power spectrum. We extensively develop the methodology by including CMB polarization and introducing two new regularization techniques, also inspired by image analysis and adapted for our cosmological context. Regularization is essential for improving the fit to the temperature and polarization channels (TT, TE and EE) simultaneously without sacrificing one for another. The reconstructions we obtain are consistent with previous findings from temperature-only analyses. We evaluate the statistical significance of the oscillatory features in our reconstructions using mock data and find the observations to be consistent with having a featureless PPS. The machinery developed here will be a complimentary tool in the search for features with upcoming CMB surveys. Our methodology also shows competitive performance in image deconvolution tasks, which have various applications from microscopy to medical imaging.
The BLAST Observatory: A Sensitivity Study for Far-IR Balloon-borne Polarimeters
Authors: Coppi Gabriele , Dicker Simon , Aguirre James E. , Austermann Jason E. , Beall James A. , Clark Susan E. , Cox Erin G. , Devlin Mark J. , Fissel Laura M. , Galitzki Nicholas , Hensley Brandon S. , Hubmayr Johannes , Molinari Sergio , Nati Federico , Novak Giles , Schisano Eugenio , Soler Juan D. , Tucker Carole E. , Ullom Joel N. , Vaskuri Anna , Vissers Michael R. , Wheeler Jordan D. , Zannoni Mario ,   The BLAST Observatory Collaboration
Published: March 2024

Sensitive wide-field observations of polarized thermal emission from interstellar dust grains will allow astronomers to address key outstanding questions about the life cycle of matter and energy driving the formation of stars and the evolution of galaxies. Stratospheric balloon-borne telescopes can map this polarized emission at far-infrared wavelengths near the peak of the dust thermal spectrum—wavelengths that are inaccessible from the ground. In this paper we address the sensitivity achievable by a Super Pressure Balloon polarimetry mission, using as an example the Balloon-borne Large Aperture Submillimeter Telescope (BLAST) Observatory. By launching from Wanaka, New Zealand, the BLAST Observatory can obtain a 30 days flight with excellent sky coverage—overcoming limitations of past experiments that suffered from short flight duration and/or launch sites with poor coverage of nearby star-forming regions. This proposed polarimetry mission will map large regions of the sky at sub-arcminute resolution, with simultaneous observations at 175, 250, and 350 μm, using a total of 8274 microwave kinetic inductance detectors. Here, we describe the scientific motivation for the BLAST Observatory, the proposed implementation, and the forecasting methods used to predict its sensitivity. We also compare our forecasted experiment sensitivity with other facilities.
Fine structure of polarization and optical Möbius strips topology of laser light in planar metamaterial
Authors: Kuznetsov N Yu , Potravkin N N , Makarov V A
Published: March 2024

It is shown that upon propagation of a plane linearly polarized harmonic wave normally incident on a planar nonlinear metamaterial whose basic cell consists of two rectangular silver plates with characteristic dimensions of hundreds of nanometers, there exists in the local field a circular polarization singularity line (C-line) containing two regions where their segments come to each other to such small distance that it may appear as a self-intersection in the numerical experiment. We found that optical ribbons constructed around the ordinary points of these lines have the topology of Möbius ribbons, and the ribbons constructed in the possible self-intersection region of C-lines and spanning its two segments are orientable surfaces.
Inducing torque on molecular magnets via Laguerre Gaussian beams
Authors: Lei Gang , Li Shanzhi
Published: March 2024

This theoretical study delves into the induction of torque by light beams carrying orbital angular momentum on single-molecule magnets (SMMs). The investigation explores the impact of decay rates, detunings, and control field intensities on the generation of light-induced torque and the resulting current flow in a ring formation. The results highlight the crucial role of the control field, showcasing its efficacy as a tool to manipulate and amplify torque at different frequencies. Detuning is identified as a critical parameter influencing the shift, slope, and emergence of multiple peaks in the torque profile. The interplay between detuning, control field intensity, and decay rates introduces a control mechanism for fine-tuning torque at distinct probe frequencies. These findings underscore the potential applications of the control field and detuning as robust tools for tailored manipulation of torque in SMMs, paving the way for advancements in controlled current flow dynamics with ring structures.
Implications of neutron skin measurements on Skyrme equations of state*
Authors: Guan 管 Da Wei 大为 , Pei 裴 Jun Chen 俊琛 , Jiang 蒋 Chong Ji 崇基
Published: March 2024

The recent measurements of neutron skins via parity violation in electron scattering have extracted an abnormally thick neutron skin for

Pb, which has significant consequences in nuclear equation of state (EoS) and neutron star observations. In this study, we perform optimizations of extended Skyrme forces in a consistent manner by including neutron skin thicknesses from PREX-II and CREX experiments and investigate nuclear EoSs and neutron stars in the GW170817 event. By varying the fitting weights of neutron skins, several new Skyrme parameterizations are obtained. Our results show the competition in the fitting procedure to simultaneously describe neutron skins, other properties of finite nuclei, and neutron star observations. The prospects of resolving neutron skin issues are also discussed.
Epidemic process on partially overlapped multi-layer networks
Authors: Jiang Xin , Liang Quanyi
Published: March 2024

The phenomenon of epidemic spread has received continuous attention due to its profound applications in a wide range of social and economic activities. In this paper we propose a partially overlapped multi-layer network model and illustrate the influence of multi-layer structure on outbreaks. Combined with the classic SIS model, we propose a set of discrete Markov equations and make first-order approximation on the threshold of epidemic outbreak. In comparison with independent simplex networks, we find that a multi-layer structure promotes epidemic spread and leads to a smaller critical threshold. In addition, we also find that the epidemic process on partially overlapped multi-layer networks is dominated by the layer with the largest main eigenvalue. Through Monte Carlo simulations, we find that the role of the dominant layer is irrelevant with its size, which means a small set of nodes can exhibit a disproportionate impact on the epidemics of a large network. Our research sheds light on the epidemic process on partially overlapped multi-layer complex systems, and provides a theoretical explanation of unexpected real-world outbreaks.
Infrared image segmentation method for power equipment based on improved cluster region growth
Authors: Yue Keyu , Zheng Yu , Gao Feng , Liu Yande , Yan Meng , Wang Sijia
Published: March 2024

For overheating defects of power equipment, the use of infrared technology is widely popular at present, which is less costly and more efficient than the traditional manual detection of thermal defects of power equipment. However, infrared images have the nature of concentrated intensity and low contrast, and picture segmentation has always been a difficult point. This paper proposes a combination of K-mean clustering and improved region growing algorithm, compared with the traditional region growing algorithm, solves the need to manually select the seed point to produce uneven gray scale and over-segmentation and under-segmentation, etc., through the K-mean clustering algorithm to automatically select the number of seeds as well as the seed node, and the introduction of Canny operator to reduce the error in order to achieve a better segmentation effect. Finally compare other algorithms fuzzy C-mean segmentation and fuzzy threshold segmentation.
Informer Model based Wind Power Forecast with Tropical Storms Present
Authors: Qiao Yuezhong , Zhuo Yaguang , Zhang Wenming
Published: March 2024

When severe tropical storms pass through, regional wind speeds fluctuate greatly, and the volatility of wind farm output also increases significantly. At the same time, the duration of tropical storms is long, and it is difficult for short-term time series data prediction models to be effective, in which case the unstable output of wind turbines will have a greater impact on power system dispatching. This paper first examines the characteristics of tropical storm movement, namely the change in wind speed, and then uses the Informer long time series data prediction model to predict the total change in wind turbine output in the next 10 days after the storm has passed. The actual case proves that the Informer model is ideal in predicting the long time series of wind power output during a tropical storm.
New energy grid-connected line fault localization method based on improved VMD-MUSIC
Authors: Qi Entie , Song Zhijie , Li Linlin , Li Yiping , Cheng Shichao , Shi Yuxin , Wang Ziming
Published: March 2024

In view of the limitations of the traditional double-ended traveling wave ranging method in new energy grid-connected transmission lines and the inability to effectively extract the deep characteristics of the traveling wave intrinsic frequency. This paper proposes a new energy grid-connected line fault localization method based on the fusion of Variational Mode Decomposition (VMD) and Multiple Signal Classification (MUSIC). Firstly, the fault traveling wave signal is decomposed into multiple intrinsic modal components by improving VMD; then, the spectrograms under the corresponding modes are obtained by using MUSIC to realize the accurate extraction of the intrinsic frequency of the traveling wave; Finally, the fault distance is calculated based on the relationship between the fault distance at the monitoring points at each end and the known line length. Simulation results show that the method can overcome the influence of spectral aliasing on the extraction of the principal component of the intrinsic frequency, and can accurately determine the fault interval, and the localization results are not affected by the fault distance, the fault type, and the fault resistance, which has good adaptability and high localization accuracy.
Dynamic encryption method for MQTT communication
Authors: Li-Wen HanHua , Yang Kai , Fu LiLi , Chen MengFan
Published: March 2024

Internet of vehicles (IoV) system is mixed-criticality, and different functions have different requirements for information security and real-time performance. Thesis aims to design a comprehensive dynamic encryption algorithm to ensure the function of the IoV system while taking into account the security level required by different critical functions. The algorithm can flexibly coordinate the security requirements between different functions, improve the efficiency and reliability of the system to the greatest extent, and ensure information security. In order to verify the performance of the algorithm, thesis uses Pycharm platform to carry out simulation experiments through python programming and verifies the feasibility of the algorithm.
Knowledge graph completion assisted graph neural network for spectrum resource optimization of UAV swarm
Authors: Wang Y , Liao X , Ye G , Zhu X
Published: March 2024

Unmanned aerial vehicles (UAVs) are playing an increasing critical role in industrial, agricultural and military Scenario. However, the energy consuming cannot be ignored, which constrains the flying time and quality of service (QoS), especially in large UAV swarm. In this paper, a knowledge graph completion assisted graph neural network (KGC-GNN) is proposed for UAV swarm aiming at optimizing the spectrum resource to improve the energy efficiency (EE). The proposed network consists of two parts: a graph attention network based on relational coding (GATRC) encoder and a task-oriented decoder based on InteractE model named CP-IE. The further simulation demonstrates that our approach can attain near-optimal spectrum resource optimization scheme with higher energy efficiency and achieve rapid convergence with the channel distribution information (CDI), UAV and environment parameters.
Research on Ai Technology of Intelligent Information Visualization Based on Rtos System Service
Authors: Jinglu Zhang , Linna Wang
Published: March 2024

In order to improve the visual interaction ability of intelligent information, an intelligent information visualization artificial intelligence technology based on RTOS system service is proposed in this paper. Based on embedded integrated control, this paper constructs the system design scheme, client and host system of intelligent information visualization artificial intelligence RTOS service system. The information monitoring module, artificial intelligence programmable logic control module, artificial intelligence processing module and human-computer interaction module of intelligent information visualization artificial intelligence RTOS service system are established to realize the label identification and identification in the process of intelligent information visualization artificial intelligence RTOS service system based on unified resource locator sipur, The communication system model of intelligent information visualization artificial intelligence RTOS service system under the transmission mode of multimedia communication channel is established to realize the automatic information processing of intelligent information visualization RTOS system. The test results show that the design has good stability, strong intelligent information visualization and interaction ability, low memory and time cost.
Simulation of frame beam additive Connection Process based on ABAQUS
Authors: Hou Guanqiang
Published: March 2024

In order to determine the optimal process parameters in the process of frame beam additive connection, Reduce thermal deformation caused by high temperature in the process of additive connection as much as possible, In this paper, ABAQUS finite element analysis software was used to conduct finite element analysis on the process of frame beam additive connection. By analyzing the temperature field and deformation amount under different connection currents in the process of additive connection, The optimal process parameters were determined as connection voltage 16V, connection current 80A, connection speed 5mm/s. The experimental results show that the heat generated in the process of frame beam additive connection is the least and the deformation is the least.
Study on Welding Deformation Correction of TC4 Titanium Alloy Panel Parts
Authors: Wang Zhijan , Li Xiaofan
Published: March 2024

Aiming at the problem that TC4 titanium alloy panel parts after welding have large internal residual stress and obvious panel deformation, which can’t meet the requirements of the parts, the viscoelastic plastic model of titanium alloy panel parts is established by finite element analysis, and the welding deformation-thermal alignment collaborative simulation environment is established by ANSYS, and the welding deformation and thermal alignment process are analyzed by numerical simulation. The law of shape correction when the correction temperature is 600 °C, 650 °C, 700 °C and the holding time is 3600s, 5400s and 7200s, respectively, and the calculation formula of springback rate is established to evaluate the effect of thermal shape correction, so as to optimize the heat treatment correction process. The results show that the correction temperature and holding time have obvious influence on the correction effect. When the correction temperature is 700 °C and holding time is 7200s, the correction effect is the best, and the springback rate is controlled below 25%, which meets the requirements of machining accuracy.