bluuebunny/crossref_metadata_2025_split huggingface dataset:
Soliton Dynamics of a Gauged Fokas-Lenells Equation Under Varying Effects of Dispersion and Nonlinearity
Authors: Dutta Riki , Talukdar Sagardeep , Saharia Gautam K. , Nandy Sudipta 
Published: December 2024

Abstract
Davydova-Lashkin-Fokas-Lenells equation (DLFLE) is a gauged equivalent form of Fokas-Lenells equation (FLE) that addresses both spatio-temporal dispersion (STD) and nonlinear dispersion (ND) effects. The balance between those effects results a soliton which has always been an interesting topic in research due to its potential applicability as signal carrier in information technology. We have induced a variation to the dispersion effects and apply Hirota bilinear method to realise soliton solution of the proposed DLFLE and explore how the soliton dynamic behaves in accordance to the variation of the dispersion effects. The proposed equation is applicable for number of systems like ultrashort optical pulse, ion-cyclotron plasma wave, Bose-Einstein condensate (BEC) matter-wave soliton under certain external fields, etc. The study on such systems under varying effects is very limited and we hope our work can benefit the researchers to understand soliton dynamics more and work on various other nonlinear fields under varying effects.
Supercontinuum generation in Rubidium vapour
Authors: Ali Rezzak , Kakum Buru , Marngar Rickey , Mukherjee Rohit , Borgohain Nitu 
Published: December 2024

Abstract
We present a theoretical study of supercontinuum generation in a Rubidium vapor cell under the conditions of electromagnetically induced transparency (EIT). A weak probe pulse and a strong control laser beam were utilized within a lambda-type excitation scheme. We identified a significant Kerr nonlinearity on the order of 103 W−1m−1 and low group velocity dispersion on the order of 10−20 s2m−1 in the Rubidium vapor cell of length 2.54 cm at a probe wavelength of 781 nm. These parameters facilitated the generation of a 35nm supercontinuum, characterized by pronounced oscillations resulting from self-phase modulation and optical wave breaking. The findings suggest potential applications in nonlinear optical devices and spectroscopy.
Kerr-Quintic Nonlinearities in Graphene Quantum Dot
Authors: Shayam Abhijit , Nath Monika , Mukherjee Rohit , Borgohain Nitu 
Published: December 2024

Abstract
This paper deals with the higher-order nonlinearities in graphene quantum dots as defect layer in one dimensional photonic crystal. A weak probe pulse and two strong control laser beams are employed in a close loop ladder type configuration under an electromagnetically induced transparency regime. In the system, the existence of third- and fifth-order susceptibilities are found to be as large as ~10−15
m
2/V
2, and ~10−27
m
4/V
4, respectively, at the probe wavelength 1.55 μm. The systems possessing such large nonlinearities can be employed to fabricate nonlinear optical devices, operable at much low power level.
Observation of coexistence of low and high frequency oscillations with reduced neutral density in a linear plasma device.
Authors: Bora Dibyajyoti , Tarafder Aritra , Biswas Subir 
Published: December 2024

Abstract
A linear plasma device has been developed at IASST producing uniform and quiescent (δne/ne
< 0.5%) laboratory plasma for performing basic wave and instability experiments in a precise manner. Uniform plasma produced in the device is very quiescent (δne/ne
< 0.5%) in nature in a wide neutral pressure range of ~ (3 − 6) × 10−4 mbar. However, beyond this neutral pressure range, onset of plasma instabilities leads to increase density fluctuations, thereby raising the value of δne/ne
and reducing the degree of plasma quiescence. Recorded floating potential fluctuations with an array of Langmuir probes indicate the coexistence of low and high frequency oscillations at lower neutral pressure range. The nature of these plasma instabilities appear to be similar to those observed in the plume mode of hollow cathode discharges. A linear plasma device will facilitate the investigation of these self-excited oscillations in a controlled environment.
Firefly flash model: A Physics-Informed Neural Network (PINN) based analysis
Authors: Saikia Debashis 
Published: December 2024

Abstract
The concept of Physics-Informed Neural Network (PINN) is relatively new and it has evolved as an effective tool in solving complex problems having high degree of uncertainties. Also, the advantage of PINN is that it can determine unknown parameters for a given dataset. Here, we have successfully applied the concept of PINN to the PirePly Plash model, which is a low dimensional robust nonlinear model developed from the chemical enzymatic reactions responsible for the light emission of the PirePly[1]. The parameters of the underlying mechanism have been estimated using the PINN method. The PINN-based prediction of the reaction rates shows a good agreement with the available results.
Modeling Techniques for Estimating Soil Radon Concentrations
Authors: Borgohain Devashree , Jaishi Hari Prasad , Singh Sanjay , Tiwari Raghavendra Prasad , Tiwari Ramesh Chandra 
Published: December 2024

Abstract
This paper describes the comprehensive analysis of soil radon concentrations through the application of the Auto Regressive Integrated Moving Average (ARIMA) Model. The study utilizes information on radon gathered from March 2013 to May 2016, employing LR-115 type II detectors. Radon and thoron, prominent constituents of natural radioactivity in the Earth’s crust, are pivotal subjects in geophysics and indoor measurements. The investigation focuses on deriving the predicted values of radon concentrations, employing various ARIMA models. Specifically, four distinct models: ARIMA (3, 0, 7), ARIMA (4, 0, 7), ARIMA (3, 0, 6), and ARIMA (4, 0, 6) are constructed. Evaluation of the auto-correlation function (ACF) and partial auto correlation function (PACF) plots suggests that ARIMA (3, 0, 7) and ARIMA (4, 0, 7) stand out as promising candidates for effectively capturing the data dynamics. To validate the efficacy of each model and ascertain the most suitable one, a comparative analysis between the estimated and real values is conducted. This involves the implementation of a linear fit test and an F-test. The statistical results decisively indicate that ARIMA (3, 0, 7) outperforms ARIMA (4, 0, 7), establishing its superiority as a better model to forecast radon in soil concentrations in the given time series data. This comprehensive approach demonstrates the significance of precise predictive models in spotting deviations in time series datasets and advances the understanding of soil radon variation.
Properties of ultrathin BSA films interacted by monovalent ions
Authors: Sarkar Sanu , Kundu Sarathi 
Published: December 2024

Abstract
The current study explores the properties of pure alongside monovalent Na+ ions interacted ultrathin films of bovine serum albumin (BSA) immobilized on hydrophilic and hydrophobic solid silicon (Si) surfaces. Such ultrathin BSA films were prepared by dip coating method, and then their structural, morphological, and hydrophobic properties were obtained using X-ray reflectivity (XRR), atomic force microscopy (AFM), and water contact angle (WCA) analysis, respectively. Pure BSA solution helps to deposit pure BSA ultrathin monolayer films of BSA molecules in their native globular shape in tilted alignment on hydrophilic Si and an almost identical tilted monomolecular layer of molecules of BSA is deposited on hydrophobic Si also but tilting is higher implying the deposition of thicker and denser BSA ultrathin layer. Monovalent ions-interacted BSA solution helps to deposit an ultrathin bilayer film on hydrophilic Si, which consists of a side-on oriented bottom layer and a less tilted top layer of BSA molecules, while on hydrophobic Si, an ultrathin bilayer of BSA molecules consisting of tilted bottom and a top layer of BSA molecules was immobilized. Thus, higher immobilization of molecules of BSA has occurred on hydrophilic Si and also on hydrophobic Si due to the incorporation of monovalent ions in the BSA solution. The globular form of the BSA molecules is displayed by pure as well as ions interacted films of BSA on both surfaces. A sessile drop WCA study is employed to explore its hydrophobic properties. All ultrathin BSA films showed WCAs ≥ 60° and higher WCA implying higher hydrophobicity is recorded for monovalent ions-interacted ultrathin BSA films compared to pure BSA films. The incorporation of monovalent ions in the BSA solution facilitates higher immobilization of BSA molecules to help to deposit thicker ultrathin film and, at the same time, helps to expose their inner hydrophobic region towards the outer free surface, contributing to the increment in hydrophobicity.
Assessment of the CORDEX-CORE Models in Simulating the Length of Rainy Season (LRS) over Northeast India
Authors: Das Simanta , Mahanta Rahul , Goswami BN 
Published: December 2024

Abstract
The Length of Rainy Season (LRS) in Northeast India (NEI) is longer than that over other parts of the country and contributes to the seasonal quantum of rainfall, a hallmark of the Indian Summer Monsoon. Low-resolution global general circulation models (GCMs) underestimate rainfall annual cycle over NEI due to unresolved regional orography requiring downscaling with the Coordinated Regional Climate Downscaling Experiment (CORDEX) models for South Asia. However, the uncertainty in CORDEX simulations of the annual cycle of rainfall and its intensity of over NEI due to biases in simulating the LRS is unknown. This study evaluates performance of CORDEX climate models, focusing on their ability to simulate the LRS. Utilizing an objective metric based on the change of sign in a north-south gradient of tropospheric temperature, we define LRS and employ ERA5 reanalysis data as a proxy for observations to establish a benchmark for the historical period of 1979-2005. Our analysis reveals that the CORDEX models when forced by ERA-Interim data, exhibit a consistent positive bias of approximately 6 days, while models forced by General Circulation Models (GCMs) display a negative bias of 10 days. Additionally, both model sets indicate a reduction in bias over inter-annual timescales. Further, we have observed that RCMs forced by ERA-Interim boundary conditions tend to overestimate the thermodynamic index of the Indian summer monsoon (TISM) compared to RCMs forced by GCMs. Our findings suggest that significant discrepancies in the simulation of the upper atmospheric conditions over the South Asia domain by regional models contribute to the pronounced biases in LRS estimates over NEI forced either by observations or by GCM outputs. This study underscores the complexities of accurately simulating the LRS using regional climate models, emphasizing the need for improved methodologies to precisely forecast LRS. Such improvements are crucial for reliable climate change impact assessments over NEI.
Spectrophotometric-based Estimation of Plant Chlorophyll Content using Smartphone
Authors: Das Priyanka , Goswami Smitakshi , Nath Pabitra 
Published: December 2024

Abstract
Estimation of plant chlorophyll concentration plays a major role in determining the health of a plant. Although many devices are available, the existing tools cannot be easily used for in-field estimation due to their sophistication and bulky nature. This work reports a new cost-efficient and portable sensing tool based on a spectrophotometric method for the estimation of chlorophyll content in rice plant leaves using a smartphone camera. Simple optical and electronic components are used for development of the sensing device and all the optical components are arranged in a 3D printed cradle that is attached to the smartphone camera. Based on the well-known complementary color theory and the RGB color model, the chlorophyll content in rice plant leaves has been estimated by the developed sensor and the obtained results are compared and validated with the standard method of chlorophyll estimation.
Attribute of antibacterial response of Black turmeric at different temperatures supported by light scattering signature
Authors: Hussain Farhana , Jaishi Hari Prasad , Roy Sanchita 
Published: December 2024

Abstract
Light scattering is a key technique for analyzing particle properties across various scientific fields. It measures scattered light intensity as a function of angle, applicable to particles ranging from nanometers to micrometers. We carried out a light scattering investigation on black turmeric, which is an antibacterial compound. We investigated black turmeric against Escherichia coli (ATCC-9637) with standard biochemical methods and confirmed its antibacterial and light scattering techniques. Antibacterial activity and light scattering measurements were conducted at various temperatures: 37°C, 45°C, 55°C, and 65°C. Significant changes in the antibacterial activity of the sample and light scattering profiles exhibited at 65°C when compared to that of 37°C. The scattering profiles of these samples demonstrated unique characteristics, highlighting light scattering as a valuable non-invasive alternative for assessing the antibacterial properties of black turmeric.
Simulation of Neural signal by solving coupled differential equation of the FitzHugh-Nagumo model using electronic circuits
Authors: Deka Bandita , Tiru Banty 
Published: December 2024

Abstract
Implementation of neural signals in electronic circuits is indispensable for studying the function of neurons, developing therapies, designing brain-computer interfaces, and artificial intelligence. This paper presents an electronic circuit implementation of neural signal modelling using operational amplifier-based analog computation. The coupled differential equation of the FitzHugh-Nagumo (FHN) model is solved by implementing the circuit in LT Spice software and analysed. The results show that the neural membrane potential can be generated using suitable values of the circuit components and bears close resemblance to the actual. Neural signals in the frequency range 7.29mHz-2.46 Hz are obtained by changing the circuit parameters. This approach provides valuable insight into the simulation of neuronal signalling and offers a basis for hardware implementation for signal generation for various applications.
The Effect of Four Types of Heat Treatment on the Mechanical Properties of Al 6351 Alloy
Authors: Rajesh G , Abdur Rahman M , Jeavudeen S 
Published: December 2024

Abstract
The present research focuses on examining the alterations in the microstructural characteristics and mechanical properties of Al 6351 alloy as a result of various thermal treatments. Four distinct processes were analyzed: solution treatment followed by quenching and aging (T6), retrogression and re-aging (RRA), high-temperature pre precipitation (HTPP), and a modified version of RRA involving interrupted aging. The T6 treatment produced the finest dispersion of precipitates, achieving maximum ultimate tensile strength (UTS) of 320 MPa and yield strength (YS) of 270 MPa; however, it decreased ductility to 12% due to limited dislocation movement caused by the precipitates, which were shown to become immobilized at high concentrations. The RRA treatment exhibited a slight improvement in yield strength, resulting in UTS and YS of 290 MPa and 10% elongation, respectively, as a consequence of a finer and more uniform precipitate distribution after re-aging. HTPP, on the other hand, demonstrated a reduction in strength compared to T6, with UTS and YS at 310 MPa and 260 MPa, respectively, attributed to precipitate coarsening occurring during pre-aging at elevated temperatures. The increasing ductility trend of 13% was associated with initial GP zone size. The modified RRA process yielded the highest strength levels, reaching UTS of 350 MPa, YS of 300 MPa, and an enhanced toughness reflected in improved impact energy of 20 J, likely due to the denser alignment of precipitates; however, it showed slightly lower elongation of 11% than T6 or RRA. The tensile fracture behavior was elucidated through FESEM-based fractography analysis, which revealed cracks propagating uniformly along the length. The results of this investigation highlight the necessity of precisely controlling heat treatment parameters to achieve specific mechanical properties in Al 6351. This research provides valuable insights into managing strength, ductility, and toughness via solid solution grain size distribution and the density of Mg2Si precipitates, which is beneficial for selecting appropriate heat treatments across various industries.
An experimental investigation into the Mechanical properties of jute Fiber / nano-sized ZrC Polymer Composites
Authors: Pavendhan R. , Sriram D. , Irudayaraj Ambrose Edward , Vijayan S. , Chanakyan C. 
Published: December 2024

Abstract
Jute fibre, known for its sustainability and abundance, has been explored as a promising reinforcement in composite materials. This study explores the enhancement of mechanical properties in jute fibre composites through the incorporation of Zirconium carbide nano particles at varying concentrations (0, 2, 4, and 6 wt%). A comprehensive evaluation was conducted to assess hardness, flexural strength, tensile strength, and impact resistance, with a focus on their applicability in high-stress environments. Results indicate that the addition of Zirconium carbide nano particles significantly improves the mechanical performance of the composites. Specifically, increased nano particle concentration leads to enhanced hardness, resulting in superior indentation resistance. Flexural strength tests demonstrate marked improvements in stiffness and resistance to deformation, positioning these composites as promising candidates for structural applications. Tensile testing reveals that higher Zirconium carbide content boosts load-bearing capacity, while enhanced impact resistance suggests improved durability and shock absorption. These findings highlight the potential of Zirconium carbide-reinforced jute fibre composites for various industries requiring high-strength materials, including automotive, aerospace, construction, and sports equipment manufacturing. This method effectively combines sustainability with enhanced mechanical properties. The micro hardness, flexural strength and impact strength of jute/epoxy/6wt.%ZrC was 26.6 %, 51 % and 15.2 % higher than its non reinforced jute/epoxy polymer composites.
Analyzing Experimentally the Dynamic Characteristics of Journal Bearings Under Various Load Conditions
Authors: Moorthy Appusamy Anandha , Madheswaran Subramaniyan , Ganesh Babu L , Murthi M K , Nanthakumar S , Senthilkumar Kallipatti Laxmanan , Selvakumar Andiappan 
Published: December 2024

Abstract
This paper aims to experimentally assess the performance of plain bearings casted as self-lubricating composite materials. Metal stir casting is used to prepare plain bearings based on composite materials, which are made of AA 2218 Al alloy, 4% MoS2, and 15% fly ash. Arrangement of shafts in the textile industry is reflected in the impression of the experimental setting, which was derived from earlier literature. To obtain vibration signals, the DAQ kit and accelerometer were connected using the Laboratory Virtual Instrument Engineering Workbench (LAB-view) as a graphical data collection and interpretation system. Different loads were applied to journal bearings with and without lubrication. The outcome demonstrates the amplitude fluctuation, temperature rise, and mass loss of journal bearings for Gun metal (Red brass), AA2218, and self-lubricating composite materials.
Optimizing Operations: Evaluating Overall Equipment Effectiveness (OEE) And Failure Mode Effect Analysis (FMEA) For Muratec Qpro Ex Winding Machines at PT XYZ
Authors: Pitoyo Djoko , Azwar Ade Geovania , Aprilia Anggi 
Published: December 2024

Abstract
PT. XYZ is a leading manufacturing company that focuses on the textile industry, especially in producing yarn from cotton, polyester, and rayon raw materials. Even though it has adequate infrastructure and machines, the performance of the Winding machines at PT. XYZ is not yet optimal, characterized by machine downtime problems and defective products. This research aims to identify and analyze the performance of Winding machines to find the root of the problem and formulate the necessary follow-up actions. The analysis method used is Overall Equipment Effectiveness (OEE) which includes three main aspects: Availability, Performance Rate, and Quality Rate. International standards set optimal values for OEE, where Availability Ratio > 90%, Performance Rate > 95%, Quality Rate > 99%, and OEE > 85.4%. The research results show that although the average Availability Ratio reaches 90.5%, the Performance Rate and Quality Rate are still below international standards. Improvements in Performance Rate and Quality Rate are needed to meet international standards and increase production efficiency. The average OEE value is 77.1%, therefore improvements are needed in the Performance Ratio and Quality Rate to meet international standards. Among the factors causing Six Big Losses, three main causes contribute to losses, namely: Equipment Failure (Breakdown Losses) of 11.7%, Process Defect Losses of 7.34%, and Reduce Yield Losses of 64.6%. Of these three main causes, reduced yield Losses have the largest impact with a percentage of 64.6%, which is caused by machine instability due to improper handling by maintenance operators. Through the application of the Failure Mode Effect and Analysis (FMEA) method, it was found that bearings that experienced cracks were the most influential cause of failure with a Risk Priority Number (RPN) value reaching 60. This problem is caused by the production operator’s lack of concern regarding machine damage, delays in reporting to maintenance officers, errors in installing spare parts, poor maintenance control, and insufficient compressor air pressure. Therefore, the main improvements that need to be made to increase the productivity of Winding machines at PT. XYZ is in the areas of Equipment Failure (Breakdown Losses), Process Defect Losses, and Reduce Yield.
Corrigendum: Average spectral density of multiparametric Gaussian ensembles of complex matrices (2024 J. Phys. A: Math. Theor. 57 095005)
Authors: Ansari Mohd Gayas , Shukla Pragya 
Published: December 2024

Abstract
In the initial version of the article, the mathematical steps given in section 2.1 lead to a diffusion equation for the joint probability density function for the eigenvalues that appeared as equation (6) of [31]. But as reported later in Shukla (2024 arXiv:cond-mat/0105007), equation (6) of [31] had a sign misprint and is different from equation (10) of the present article. We note that, contrary to equation (6) of [31], equation (10) of present article is based on the assumption of matrices U and V as unitary. Here we provide the required corrections which lead to equation (10). As the article is based on equation (10), the corrections have no effect on subsequent sections or results of the article.