bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ordinary light induced polarization zones in Tutton salt crystal
Authors: Pandey Suchi , Pant Navin , Pandey S.D. 
Published: December 2023

Abstract
Ordinary light wave passing through a low symmetry crystal along an off optic -axis direction gets split into ordinary and extra-ordinary waves. If the beam size is large, the two polarized waves could overlap covering a large volume within the medium. It is realized that overlapping ordinary and extra-ordinary waves, result in creation of alternate polarization regions with different fluctuating crystalline fields inside a low - symmetry hydrated crystal. If suitable ions are doped in an experimental crystal, their optical absorption spectra could reflect the effect of alternate polarization fields and creation of ordinary light induced periodic polarization (OLIPP) effect inside a low symmetry hydrated crystal.
Ultrasound-assisted green synthesis of silver nanoparticles from Allium sativum, its characterization, antimicrobial capabilities and thermo-plasmonic studies
Authors: Shekhar Shubhra , Prakash Prem , Shekhar Swapnil , Singh Sushil Kumar , Prasad Kamlesh 
Published: December 2023

Abstract
Bottom-up approach for the green synthesis of silver nanoparticles (AgNPs) from Allium sativum cloves using ultrasound-assisted technique has been investigated. The fabricated AgNPs were characterized using advanced techniques of spectroscopy, scattering, and microscopy. The synthesized AgNPs have a size distribution of 36.15 ± 8.54 nm, as confirmed by TEM analysis and 44.18 ± 0.55 nm as per XRD analysis. The fabricated AgNPs in this range exhibited greater surface plasmon resonance (SPR) for absorption, scattering and extinction coefficient. Higher negative ζ potential showed long term stability of fabricated AgNPs without agglomeration. Antimicrobial efficacy of fabricated AgNPs demonstrated high activity against pathogenic bacteria making them a promising candidate for applications in medical, environmental, biomedical, food packaging and allied fields.
Room Temperature Ammonia (NH3) Gas Sensor based on Molybdenum Disulfide and Reduced Graphene Oxide (MoS2/rGO) Heterojunction.
Authors: Singh Ravinder , Agrohiya Sunil , Dahiya Sajjan , Rawal Ishpal , Ohlan Anil , Punia Rajesh , Maan A.S. 
Published: December 2023

Abstract
Nanocomposites based on 2D materials exhibit synergistic behavior at their interfaces, making them a promising candidate for gas sensing applications. The MoS2/rGO nanocomposite used in this study was synthesized using a one-step hydrothermal process. By using X-ray diffraction (XRD), the synthesized composite was thoroughly characterized. The spin coater was used to deposit the nanomaterial thin film onto the glass substrate. The nanocomposite sensing was tested at a 40 ppm concentration of ammonia gas. An increase in ammonia concentration was found to correspond with a rise in the resistance of the sensor. The nanocomposite interface of this sensor enabled it to exhibit a synergistic behavior, resulting in several desirable characteristics, including low power consumption, fast response and recovery times, high selectivity, and a low operating temperature.
Physico-chemical, optical, and functional characterization of the developed phytochemical rich water dispersible tablets from moringa leaf and wheat grass powder
Authors: Suraksha Kumari , Jindal Navdeep , Prasad Kamlesh 
Published: December 2023

Abstract

Moringa oleifera is a well-recognized wonder plant with vigorous growth, great nutritional potential, and full of phytochemicals to add therapeutic and medicinal effects. Wheat grass also has proven health benefits like moringa. Moringa leaves and wheat grass were dehydrated in a cabinet drier and powdered. These powders were analysed for physicochemical, optical, nutritional, functional, rheological, structural, and phytochemical characteristics. The developed powders were rich in protein, phenolic content, and antioxidant potential to be used for prophylactic purposes. Antioxidant value was observed as 88.86±0.15, and 38.08±0.32 mg/g and the total phenolic content as 149.30±2.26 and 126.06±0.47 mg GAE/100g for the moringa leaf and wheatgrass powder, respectively. During storage at room temperature for three months the antioxidant potential was reduced to almost 10-15%. The rapid loss of vital phytochemicals happens due to the process of oxidation, as powders were having higher exposed surface area to volume. Wet granulation method was applied for tablet formation from moringa leaf and/or wheatgrass powder. The tablets were tested for weight variations, hardness, disintegration, sedimentation characteristics, wetting volume, wetting time, and functional characteristics. Insignificant change in the antioxidant activity and TPC were observed on converting the powders into tablets. The detailed phytochemicals as present in the developed tablets may find role in prophylactic and therapeutic applications.
Physiochemical, thermal, textural, functional, and microstructural characterization of the developed shelf stable bigel using hydrogel and oleogel
Authors: Sarika  , Prasad Kamlesh , Kumar Ashwani 
Published: December 2023

Abstract
Bigel system was developed using a combination of oleogel and hydrogel. The developed bigel showed semi-solid stable emulsion as the storage modulus was significantly higher than the loss modulus. Increasing hydrogel concentration in bigel reduced the hardness. Bigel containing 40:60 hydrogel to oleogel resulted in a desirable homogenous structure. This finalized water in oil bigel is characterized based on the physio-chemical, textural, thermal, functional, and microstructural characteristics. The filter strip method was used to test the bigels’ ability to bind oil, and the results showed that the bigel made of beeswax and soybean oil had the most outstanding ability. The melting point temperature of the bigel was found to be higher than that of the oleogel based on the DSC data. The results of storage study at refrigerated and room temperature was found that the developed bigel is stable and acceptable for at least four weeks.
Structural and electronic properties of n-vinylcarbazole - 3-methoxythiophene copolymer: DFT analysis
Authors: Sharma P , Khare K P , Srivastava R , Srivastava A , Kathal R 
Published: December 2023

Abstract
Conducting polymers are advantageous over traditional inorganic materials in terms of better environmental stability, tunable electrical characteristics, excellent optical and mechanical properties etc. Copolymerization is a preferred common process to modify material properties amongst the diverse accessible synthetic approaches. The present study reports copolymerization synthesis and determination of stability and electronic properties of chosen monomers and their copolymer using density functional theory (DFT)-based approach for n-vinyl carbazole (NVK) and the mono-substituted thiophene bearing a methoxy group at the third position of the thiophene ring (3-MeOTH). On comparison with the monomers, the copolymer of n-vinylcarbazole and 3-methoxythiophene (NVK-3-MeOTH) reveals enhanced stability, with reduced HOMO-LUMO gap, energy gap (Eg) in chloroform media, as well as variation in density of state (DOS) profile. Further, decrements in total energy, ionisation potential, electron affinity, and dipole moment are observed due to copolymerization.
Static and Dynamic Properties of SPC/E Water Model
Authors: Nunia Khushi , Bayen Moushila , Ansary Sahire Azam , Kumar Anupam , Mishra Pankaj 
Published: December 2023

Abstract
In this work, we have studied static and dynamic properties of bulk water using SPC/E water model. We have considered 1500 water molecules confined to a three dimensional box. LAMMPS software has been used to perform molecular dynamic simulation under canonical ensemble. The partial radial distribution functions, diffusion coefficients, velocity autocorrelation functions, and mean square displacements have been calculated at 300K for different densities ranging from 900 kg/m3 to 1000 kg/m3. The principle peak heights of the partial radial distribution functions are found to decrease with increase in high density regime showing abnormal behaviour in this density regime.
A simulation study of the soft and hard radiations using jets at the LHC
Authors: Haroon R F , Roy D 
Published: December 2023

Abstract
In this work, different aspects of the high-energy radiation are looked at considering the LHC scenario. An event-shape variable and several jet substructure observables are studied with the Mote Carlo event simulators at the 13 TeV center of mass energy scale to mimic the current LHC environment. The event-shape and the jet substructure observables are chosen such that they are not only sensitive to the different aspects of the high energy radiation measurement but also exhibit promising features to distinguish the possible existence of new physics that considers a dark matter candidate decaying into semi-visible jet. It is verified that the observables exhibit significant sensitivities to disentangle two jets to multi-jet radiations, presence of a final state and initial state radiations, presence of a large amount of missing transverse energy as a strong indication of the possible existence of a dark matter as well as couple of promising features of a semi-visible jet are explored.
Restoration and enhancement optimization of blurred images based on SRGAN
Authors: Yuan Ziqi 
Published: December 2023

Abstract
Blurred images pose a significant challenge in many applications, including medical imaging, remote sensing, and surveillance systems. These images suffer from low resolution, noise, and missing data, which can hinder their interpretation and analysis. Traditional methods for image restoration and enhancement have their limitations, such as low quality and slow processing times. To overcome these challenges, this paper proposes an innovative method using Super-resolution Generative Adversarial Networks (SRGANs) to enhance image quality and fidelity. The proposed method employs adversarial training, perceptual loss, residual learning, and feature reconstruction to generate visually realistic and high-quality super-resolution (SR) images from low-resolution (LR) inputs. The SRGANs approach outperforms traditional methods, demonstrating its potential to advance image restoration and enhancement techniques. The paper also discusses possible improvements and future directions for this technique.
Identification of language from multi-lingual dataset using classification algorithms
Authors: Abinaya N , Jayadharshini P , Priyanka S , Keerthika S , Santhiya S 
Published: December 2023

Abstract
The process of automatically identifying the language used in a text or document is known as language identification. Language identification might represent a critical step in Natural Language Processing (NLP). It entails making an effort to foresee a text‘s natural language. Before any actions can be conducted, it is crucial to understand the language of the text. We must build a model that can anticipate the given language using the text as a guide. This provides an answer for many computational linguists and Artificial Intelligence (AI) applications. In this study, the language in the provided text was identified using machine learning algorithms and vectorization techniques. The performance of different classification algorithms like Naïve bayes, Logistic Regression, Decision Tree and Random Forest have been compared and analyzed. Vectorization technique has been done to convert the text into matrix. This paper presents the comparison of all the above algorithms performed through various measures.
Virtual human speech emotion recognition based on multi-channel CNN: MFCC, LPC, and F0 features
Authors: Ke Liwen 
Published: December 2023

Abstract
Convolutional neural networks (CNNs) have shown promise in virtual human speech emotion expression. Previous studies have utilized CNNs for speech emotion recognition and achieved good results. However, there are research gaps in avatar speech emotion expression, particularly concerning speaker characteristics, and limited available datasets. To address these issues, this paper collects and pre-processes speech data from multiple speakers, using features such as Mel Frequency Cepstral Coefficient (MFCC) and Linear Predictive Coding (LPC). A multi-channel CNN (MUC-CNN) model is designed to fuse different feature information and update model parameters using the Adam optimization algorithm. The model‘s performance is compared with classical methods like Support Vector Machine (SVM), Random Forest (RF), and k-Nearest Neighbors (k-NN) to determine its applicability and optimize its design and training process. Experimental evaluation shows that the MUC-CNN model outperforms classical methods in recognizing and expressing emotions in virtual human speech. By incorporating MFCC, LPC, and F0 features, the model‘s recognition capabilities are improved. The multi-channel architecture allows independent processing of each feature type, enhancing the model‘s discriminative aptitude. The performance of the model is influenced by the quantity of convolutional layers and kernels utilized. The outcomes highlight the effectiveness of the proposed MUC-CNN model for the recognition and expression of speech emotions in virtual human interactions. Future research can explore alternative feature information and refine the model architecture to further optimize performance. This technology has the potential to enhance user experience and interaction in various fields, including speech interaction, virtual reality, games, and education.
Tripled Structures of Algebroids in Gauged Double Field Theory
Authors: Mori Haruka , Sasaki Shin 
Published: December 2023

Abstract
Double field theory (DFT) is an effective theory of string theory. It has a manifest symmetry of T-duality. The gauge symmetry in DFT is related to some kind of algebroid structures, and they have a doubled structure. We focus on the gauge algebra of the O(D, D+n) gauged DFT and discuss an extension of the doubled structure. The gauge algebra of the O(D, D + n) gauged DFT has been described by the F-bracket. This bracket is related to some algebroid structures. We show that algebroids defined by the twisted C-bracket in the gauged DFT are built out of a direct sum of three Lie algebroids. They exhibit a “triple”, which we call the extended double, rather than a “double” structure. We also consider the geometrical realization of these structures in a (2D + n)-dimensional manifold.
Soliton solution for the integrable spin model with self-consistent potential
Authors: Sagidullayeva Zhanna 
Published: December 2023

Abstract
Integrable spin systems with potential are of great interest from the point of view of theoretical and applied physics. They make it possible to obtain accurate analytical solutions and study the properties of solitons - nonlinear wave structures that can be stable and move without distortion. The study of solitons in spin systems is of great importance not only for developing new methods for transmitting and processing information but also for developing spintronics and magnetoelectronics in general. These areas of technology are based on the use of the properties and control of the spin moment of electrons. Understanding and controlling spin dynamics in various systems opens up new possibilities for creating more efficient and powerful devices such as magnetic memories, spintronic transistors, and logic elements. This paper considers occurence of soliton in magnetic medium described by Generalized Landau-Lifshitz equation with self-consistent potential.
Magnetic monopoles in extensions of Georgi–Glashow model
Authors: Beneš Petr , Blaschke Filip 
Published: December 2023

Abstract
We discuss a class of effective extensions of the SU(2) Georgi–Glashow model and discuss its Bogomol’nyi–Prasad–Sommerfield (BPS) limit. We identify a specific subclass of these models that admit analytical solutions of the monopole type. We present some concrete examples and find that the resulting monopoles tend to have their energy concentrated not in their center, but rather in a spherical shell around it.
Classical and quantum gravity from the axioms of relativistic quantum mechanics
Authors: Smilga W 
Published: December 2023

Abstract
It is common practice to describe elementary particles by irreducible unitary representations of the Poincaré group. In the same way, multi-particle systems can be described by irreducible unitary representations of the Poincaré group. Representations of the Poincaré group are characterised by fixed eigenvalues of two Casimir operators corresponding to a fixed mass and a fixed angular momentum. In multi-particle systems (of massive spinless particles), fixing these eigenvalues leads to correlations between the particles. In the quasi-classical approximation of large quantum numbers, these correlations take on the structure of a gravitational interaction described by the field equations of conformal gravity. A theoretical value of the corresponding gravitational constant is calculated. It agrees with the empirical value used in the field equations of general relativity.
A sedenion algebraic representation of three colored fermion generations
Authors: Gresnigt Niels 
Published: December 2023

Abstract
Three generations of fermions with SU(3)
C
symmetry are represented algebraically in terms of the algebra of sedenions, 𝕊, generated from the octonions, 𝕆, via the Cayley-Dickson process. Despite significant recent progress in generating the Standard Model gauge groups and particle multiplets from the four normed division algebras, an algebraic motivation for the existence of exactly three generations has been difficult to substantiate. In the sedenion model, one generation of leptons and quarks with SU(3)
C
symmetry is represented in terms of two minimal left ideals of ℂℓ(6), generated from a subset of all left actions of the complex sedenions on themselves. Subsequently, the finite group S
3, which are automorphisms of 𝕊 but not of 𝕆, is used to generate two additional generations. The present paper highlight the key aspects and ideas underlying this construction.
Harmonic Oscillator with a Step and/or a Ramp
Authors: Nasuda Yuta 
Published: December 2023

Abstract
We discuss the one-dimensional Schrödinger equation for a harmonic oscillator with a finite step at the origin and/or an external field described by a ramp function. The first half of this paper is a partial review of our recent work. The latter half is devoted to an extension of the problem, i.e., imposing an external linear field on the negative half line. The solvability of the problem via the Hermite polynomials is discussed. We demonstrate that a harmonic oscillator with a step and a ramp can have one eigenstate whose wavefunction is expressed in terms of Hermite polynomials of different orders. Explicit examples are also provided at appropriate places in the text.
Formal developments in curved momentum space: the quantum field theory roadmap
Authors: Franchino-Viñas S A 
Published: December 2023

Abstract
We advocate that the dual picture of spacetime noncommutativity, i.e. the existence of a curved momentum space, could be a way out to solve some of the open conceptual problems in the field, such as the basis dependence of observables. In this framework, we show how to build deformed Klein–Gordon and Dirac equations. In addition, we give an outlook of how one could define quantum field theories, both free and interacting ones.
Classification of topological Lie quasi-bialgebra structures over the Lie algebra of Taylor series
Authors: Abedin Raschid , Maximov Stepan 
Published: December 2023

Abstract
In this note we present in a compact form the recently obtained classification of topological Lie quasi-bialgebra and non-degenerate Lie bialgebra structures over the Lie algebra 𝔤〚x〛, for a simple Lie algebra 𝔤.
Second order Lagrangians for (2 + 1)-dimensional generalized Boussinesq equations and an extension of the Krupka-Betounes equivalent
Authors: Palese Marcella , Zanello Fabrizio 
Published: December 2023

Abstract
We determine second order Lagrangians for (2 + 1)-dimensional generalized Boussinesq equations and we discuss some aspects concerning conservation laws associated with invariance properties of their extended ‘full’ equivalents, in particular of Krupka–Betounes type. Such equivalents are constructed by means of a recursive formula involving geometric integration by parts formulae.
Bond graph model study of the jet dispensing valve
Authors: Yin Jiange 
Published: December 2023

Abstract
The jet dispensing structure includes glue liquid delivery, mechanical drive, pneumatic drive, electromagnetic control, etc. It is a complex electromechanical hydraulic and pneumatic system. The comprehensive application of relevant professional knowledge in various fields is difficult to model and the accuracy of simulation is difficult to guarantee. This article presents the structure of valve-controlled needle jet dispensing valve which is for medium to high viscosity electronic packaging adhesives, studies the bond graph model of the jetting system with this valve as the main control object, and conducts system simulation based on a 20-sim system, laying the foundation for the research of electromechanical, hydraulic, and pneumatic multi domain coupling mathematical models.
On-line Detection of Pressure Vessel Based on Infrared Imaging Technology
Authors: Zhang Pugen 
Published: December 2023

Abstract
This paper introduces the application of infrared thermal imaging detection technology in the field of special pressure equipment, and applies infrared imaging detection to burners, low-temperature vessels, and tower vessels in chemical plants. The conclusion is that infrared detection technology can accurately detect temperature-maintaining defects in burners and low-temperature vessels, and can intuitively reflect the defect location in a high-heat form. For high-temperature equipment, the infrared characteristic form of insulation defects is generally displayed in an irregular chain shape, because the insulation is made up of materials that are spliced together and easily form pores at the joints. For low-temperature equipment, the humid environment caused by cold running may cause corrosion to exposed metals and even affect the process’s effectiveness. Infrared detection technology can visually reflect the location and degree of cold running, reduce equipment usage risks, and provide size and position guidance for insulation repair.
Design of Batch Automatic Testing System Based on Electric Cylinder
Authors: Yi Yu , Qu Haishan , wang Shuai , Jian Yi , Wang Huajun , Qu Ning 
Published: December 2023

Abstract
With the increasing demand for weapons and equipment, more manpower and material resources need to be invested to complete the batch production of weapons and equipment models. In order to save production costs and improve the efficiency of batch production, a batch automatic test system based on electric cylinders is developed. The system is divided into an automatic test system and a batch tangent system. They are respectively used to achieve product testing and batch product line change control to reduce human intervention and improve the accuracy and efficiency of product testing.