bluuebunny/crossref_metadata_2025_split huggingface dataset:
Female Instagram elderly influencers countering the ageing narratives
Authors: Ghosh Munmun 
Published: November 2023

AbstractInfluencers are usually associated with young people creating waves on social media. However, there are “Influencer” at age 60 and beyond. This study unveils ‘Female Instagram Elderly Influencers’ who inspire every generation through appeal and presence on the platform. This study explores how older women influencers on Instagram promote themselves online and how they challenge the stereotypes about ageing. In an era defined by the growing influence of digital media, this study reveals the unique perspectives these women use to challenge the social assumptions about ageing. In particular, this study proposed new ways of ageing, defying gender and setting newer perspectives on old age and ageing. By using a netnography technique, an extensive investigation of the online identities and discussions of eight senior female Instagram influencers was conducted. Netnography has allowed to delve deeper into their public profiles, observing their virtual communities and providing insights into their online identity. The results draw attention to a few key characteristics that characterise the online personas of these “older female influencers” on Instagram. These influencers challenge preconceived notions about ageing through their profiles by projecting an image of themselves as vibrant, engaged and active. They portray a colourful, opportunity-filled life full of self-expression through their carefully chosen texts and videos, which showcase their love for everything around them, like food, travel, fashion, quick tips, etc. Furthermore, the findings suggest that these influencers provide their followers with a sense of empowerment. By sharing their personal day-to-day experiences, wisdom and advice, they interact with a broad audience and uplift and reassure those going through difficult times. People of all ages engage with their content, showing how this sense of community is ‘ageless’. The critical role older female Instagram influencers play in eradicating age-related stereotypes and creating a welcoming community is revealed through this netnography investigation. Their experiences and online persona offer a nuanced viewpoint on ageing, encouraging individuals to take advantage of life’s opportunities at any age.
Iron-based catholytes for aqueous redox-flow batteries
Authors: Okazawa Atsushi , Kakuchi Takayuki , Kawai Kosuke , Okubo Masashi 
Published: November 2023

Redox-flow batteries (RFBs) are promising electrochemical energy storage devices to load-level intermittent power from renewable energy. In particular, aqueous RFBs using aqueous electrolytes possess several advantages over nonaqueous ones, such as low fabrication cost, nontoxicity, safety, and environmental benignity. Therefore, developing high-performance, abundant, less-expensive iron-based catholytes for aqueous RFBs is essential toward their wide deployment in a power grid. In this Perspective, we summarize the recent progress of iron-based catholytes for aqueous RFBs. We emphasize that iron-based catholytes possess widely ranged redox potentials (−1.0 to 1.5 V vs standard hydrogen electrodes) and solubility in water (0.2–4.0 mol L−1), thereby providing a wide range of cell performance. The molecular design, such as ligand functionalization, counter ion mixing, and asymmetrization, allows for rationally improving solubility, redox potential, and energy density. Furthermore, we demonstrate a simple evaluation method of the redox potential of iron-based catholytes using the calculated energy levels of the lowest unoccupied molecular orbital of ligand molecules. Finally, we rationalize the design strategy of iron-based catholytes for advanced aqueous RFBs.
Photonic optical accelerators: The future engine for the era of modern AI?
Authors: Makarenko Maksim , Wang Qizhou , Burguete-Lopez Arturo , Fratalocchi Andrea 
Published: November 2023

Photonic accelerators for Artificial Intelligence (AI) are rapidly advancing, promising to provide revolutionary computational speed for modern AI architectures. By leveraging photons with a bandwidth higher than 100 THz, photonic accelerators tackle the computational demands of AI tasks that GHz electronics alone cannot meet. Photonics accelerators integrate circuitry for matrix–vector operators and ultra-fast feature extractors, enabling energy-efficient and parallel computations that prove crucial for the training and inference of AI models in various applications, including classification, segmentation, and feature extraction. This Perspective discusses modern challenges and opportunities that optical computations open in AI for research and industry.
Simulation of RFI Cancellation Using Subspace Projection Algorithm for PAF Receiver
Authors: Wu Peng , Li Jian , Chen Mao-Zheng 
Published: November 2023

Abstract
The simulation of radio frequency interference (RFI) cancellation by applying a spatial filtering technique for phased array feed (PAF) is presented. In order to better reflect the characteristics of PAF, a new signal model is to add the coupling coefficient among elements of PAF to the conventional array signal model. Then the subspace projection (SP) algorithm is used to cancel RFI from the correlation matrix of the signal, and finally, the 2D power image is drawn. The power variation of signal-of-interest direction and RFI direction before and after using the SP algorithm is analyzed. The new signal model and simulation strategy can be used to test and verify the beamformer.
Study of Structural and Optical Properties of Zirconium Oxide Nanoparticles
Authors: Soni Dimple , Singh Jaiveer , Tripathi Jitendra , Sharma Anupam 
Published: November 2023

Abstract
In present study Zirconium dioxide (ZrO2) nanoparticles (NPs) were synthesized by using the chemical method. For the synthesis of desired NPs, oleyl amine (OA) was used as a surfactant material. OA plays a crucial role in inhibiting the aggregation of ZrO2 nanocrystals. Particle surface stabilisation is facilitated by it. The average crystallite size estimated from X-ray diffraction (XRD) using Scherrer equation, to be 6.15nm. UV-vis absorption spectra in the wavelength range of 200-900 nm were obtained; energy band gap obtained approximately 2.52 eV in as prepared ZrO2 NPs. Using FT-IR, the functional group and band structure of ZrO2 were studied.
Effect of nano-crystallization and atomic substitution on electronic and heat properties of Bi2Te3
Authors: Rathore Vinod , Soni Shubhangi , Dixit R.C. , Choudhary K.K. 
Published: November 2023

Abstract
The specific heat of nano-crystalline (NC) Bi2Te3 (20 nm) in the temperature range of 150 K to 300 K is theoretically studied and compared with the specific heat of the bulk Bi2Te3 materials. Carrier concentration and Hall coefficient are also evaluated using free electron model and compared with experimental results. Lattice (phonon) specific heat has been observed with an overlap repulsive potential with the help of Debye model. For Nano Crystalline materials having high interface volume ratio, the Debye temperature and phonon frequencies are reasonably less at the interfaces than at the core of nano-crystal. Such softening of phonon frequencies at interfaces results in enhancement of Specific Heat in nano-structures. Total specific heat would include interface, core and electronic specific heat. The temperature derivative of the internal energy yields the electronic contribution to specific heat. The present analysis based on the softening of phonon frequencies mechanism is sufficient to describe the enhancement in specific heat by nano-crystallization.
Comparative study of Structural, Optical and Dielectric properties of [(PVP:PVA)-Cr3+] and [(PVP:PVA)-La3+] Composite films
Authors: Harinkhere Disha , Karma Nikita , Choudhary K K , Kaurav Netram 
Published: November 2023

Abstract
Polyvinylpyrrolidone (PVP) and polyvinyl alcohol (PVA) polymer blend composite films doped with lanthanum (La) and chromium (Cr) ion were prepared via solution casting method. The x-ray diffraction (XRD) technique was used to examine the structural characteristics. UV-Visible photospectroscope was employed to measure optical properties and dielectric properties was measured using LCR meter. XRD results showed the semicrystalline behaviour of prepared films. Cr ion doped polymer blend composite film had an optical band gap of 4.17 eV, whereas La ion doped films had a band gap of 4.769 eV. From the comparative study of the (PVP:PVA)-Cr3+ and (PVP:PVA)-La3+ composite polymer films it was observed that La3+ doped film had lower dielectric constant. The ac conductivity of the (PVP:PVA)-Cr3+ film is found to be higher than the (PVP:PVA)-La3+ film.
Microwave frequency tunability via heterogeneous Oersted field tilted polarizer based spin torque nano oscillator
Authors: Bhoomeeswaran H , Sabareesan P 
Published: November 2023

Abstract
Here, we have devised a heterogeneous-based Tilted Polarizer [TP] Spin Torque Nano Oscillator [STNO] along with the consideration of the Current Induced Oersted Field [CIOF]. The magnetization precession dynamics governed by Spin Transfer Torque [STT] are studied by solving Landau-Lifshitz-Gilbert-Slonczewski [LLGS] equation numerically. Here, β refers to an independent tilt angle of the pinned layer, and θ refers to an angle between the free layer magnetization and the easy axis of the device, respectively. The device emits a maximum frequency of about 77.5 GHz and PSD of 1.3 µW/mA2/GHz with 50 kA/m as the strength of CIOF. The author sparks that the modeled OE TP STNO device applies to High-Frequency applications and paves the way for forthcoming spintronic devices in the future.
Preferential Solvation in Binary Liquid Mixtures with Norbornadiene
Authors: Verma Richa 
Published: November 2023

Abstract
Norbornadiene has been found useful in organic and polymer synthesis and recently its mixtures have been found useful in solar energy storage. Structure factors S(0) help to identify structure and binding at microscopic level and also play a significant role in understanding and characterizing exchanges in liquid systems. Preferential solvation Parameter δij provides information about deviation from ideal behavior for the solvent. In this work structure factors S(0) and preferential solvation Parameter δij were evaluated of binary Liquid Mixtures of Norbornadiene with Benzene, Cyclohexane, Decane, and Carbon Tetrachloride using Kirkwood Buff formalism. For the said binary mixtures experimental data pertaining to the calculations were taken from literature. Obtained results indicate that molecules which tend to form dipole interactions or hydrogen bonds form favorable interactions as seen in Norbornadiene + carbon tetrachloride where the small molecule of CCl4 is not sterically hindered to approach the polar Norbornadiene molecule. Long chain and ring structure of carbon have a negative influence on hetero interactions. Studying these parameters will develop predictive techniques to determine the right composition for optimum performance of the liquid mixture.
Local Structure studies of Schiff base dependent Cadmium complex
Authors: Sharma M , Jain A , Tripathi J , Singh J , Mishra A , Shrivastava B D 
Published: November 2023

Abstract
Cadmium complex with Schiff-base ligand has been receiving significant interest due to its wide variety of biological activities, such as antitumor, antibacterial, antifungal, antiviral etc properties. The present paper deals with the Synthesis of Cadmium complex prepared by Schiff base ligand in the 2:1 (ligand: metal) equimolar ratio. The ligand was derived from 2-Aminopropanoic acid. The synthesized complex was used to characterize by X-ray absorption fine structure spectroscopy at cadmium K-edge. The studies revealed its octahedral coordination geometry with + 2 oxidation state of cadmium in the complex. The processed data of the complex was used to fit with the theoretical model generated from standard crystallographic data using FEFF calculations.
Thermal stability of natural fiber reinforced biodegradable composites
Authors: Yadav D , Singh G P , Nehra S , Joshi A 
Published: November 2023

Abstract
Polymer composites reinforced with natural fibers are being increasingly developed by researcher and scientist in the recent field of material science due to their various applications in aerospace, marine and industries. The hydrophilic natural fibers are incompatible with the hydrophobic polymer matrices this leads to less interfacial bonding between fibers and matrix. In this paper, fibers were collected from desert plant prosopis juliflora and NaOH treatment was done to increase interfacial bonding of fiber-Matrix. Prosopis Juliflora fiber reinforced phenol formaldehyde composites were prepared with different fiber loading up to 20wt% and then characterized by thermo gravimetric analysis. This paper describes thermal properties composites materials by Thermo gravimetric analysis TGA and Differential scanning calorimetric DSC analysis of composite materials with different heating rates and hence establishes a connection between temperature and physical properties of substances. This study highlights the potential of alkali treatment in improving the thermal stability of the composites. This paper concludes that by, increasing the fiber weight percentage (fiber loading) in PF resin does increase the thermal stability of the resulting composite. The mass residue of untreated fiber reinforced PF composites with fiber loading 15% wt. UTFRPFC 15was 35%, while treated fiber reinforced PF composites with fiber loading 15% wt. ATFRPFC 15 had a mass residue of 75% at a temperature of 400°C. This clearly shows that alkali treatment significantly enhances the thermal stability of the composites. Alkali pre-treatment activates the fibers’ surface and helps increase the fiber’s mechanical strength.
Monte carlo simulation of electron beams from varian truebeam linear accelerator used in radiotherapy: estimation of initial beam parameters
Authors: Unnikrishnan Sreekala , Gupta S K , Raghukumar P , Shine N S 
Published: November 2023

Abstract
In Radiotherapy (RT), electron beams are widely used to treat superficial tumours. The dose delivered to the patients was precisely estimated by Monte Carlo (MC) methods. MC codes need Initial Beam Parameter (IBP) [mean energy, energy spectrum, spot size] and structural details of the machines as input to predict the dose. This study determined the IBP of Varian TrueBeam (TB) Linear Accelerator using PRIMO and validated it using depth dose curves and profiles. The MC Code GEANT 4 (VirtuaLinac) and PENELOPE (PRIMO) were used. The energies used were 6,9,12 & 18 MeV, the applicator used was 10x10 cm2 and 25x25 cm2, and the source to surface distance value was set as 100cm. The MC model available in PRIMO for TB was validated. Initial mean energies were obtained of 6.81, 9.77, 13.15 and 19.79 MeV for 6, 9, 12 and 18 MeV nominal energies, respectively. Sigma of Gaussian distribution was estimated as 0.59, 0.62, 0.71 and 0.82, respectively. The average values of percentage dose difference between the measured and MC simulated PDD and profiles were within 5%. Found that PRIMO is a convenient and easy-to-operate software application with the potential to estimate dose distribution in water phantoms or CT Images precisely.
A Note on Magnetized and Self-Gravitating Dark Matter Halos with Bose-Einstein Condensation
Authors: Mansuri S , Pensia R K , Dashora H 
Published: November 2023

Abstract
In the present study, we assume a rotating, self-gravitating dark matter which is magnetized under the influence of Bose-Einstein condensation. For the condensate dark matter halos, the non-relativistic Gross-Pitaevskii equation is used and for the hydrodynamical evolution, continuity and modified Euler equation are considered. The modified Maxwell equation is also considered to show the influences of the magnetic field and finite electrical resistivity. We determine the dispersion relation and the Jeans wave number by assuming slight perturbations of the quantum hydrodynamical equations. From the findings, we found that the Jeans wave number depends on quantum potential and rotation. In the absence of resistivity, we observe that the Jeans wave number modifies due to the magnetic field also.
Implementation of Novel 2x2 Vedic Multiplier using QCA Technology
Authors: Sharma Virat , Chattopadhyay Manju K. 
Published: November 2023

Abstract
Advantages like working at high speed, scalability, and lower power consumption make QCA technology more feasible than modern CMOS technology. QCA Technology uses electrons’ Coulombic interaction and polarization to represent binary information 0 and 1. The present paper proposes a novel XOR Gate and a Half Adder design and uses them to implement a new 2x2 Vedic Multiplier on QCA technology. A 2x2 Vedic Multiplier multiplies two inputs, of two bits each, using Urdhva-Tiryakbhyam Vedic Sutra. The proposed circuit has a reduced cell count and Quantum cost compared Co-planar Vedic Multipliers to available in the literature. QCADesigner 2.0.3 is used for the simulation and verification of all three proposed circuits.
Initial Effects of Plasma Treatment on Maize Seeds: A Laboratory Study
Authors: Viliya Kundan , Sharma Uttam , Thakur Manisha , Sharma Jayshree , Guruprasad K N , Rane R , Ghosh J 
Published: November 2023

Abstract
Planning and modeling seed processing activities necessitate an understanding of the variances and relationships between the physical characteristics of seeds. The goal of this study is to establish the differences in fundamental physical features of selected maize seeds (Ganga Safed-2) and to find connections between these qualities following cold glow discharge plasma treatment. The effects of non-thermal plasma treatment of maize seeds on the rate of the seed’s physical properties like fresh weight, length, and dry weight have been investigated using a radiofrequency glow discharge plasma system. A cylindrical reactor is used for seed treatment. The treatment of maize seeds at 240 seconds and 30 watts has a great impact on their physical properties. We have used various types of gases for plasma treatment such as Nitrogen, Oxygen, Argon, hydrogen, and helium under atmospheric pressure and room temperature.
Fugacity Based EQC Level II Method: Prediction of Environmental Partitioning of a Fungicide Fluopyram
Authors: Qanungo Kushal , Kumari Anjali , Thakur Anjali 
Published: November 2023

Abstract
A fungicide Fluopyram has been subjected to an EQC Level 2 calculation using a fugacity-based environment model. According to the model, Fluopyram tends to build up in similar amounts in both soil and water. Sediment, soil, water, and air are predicted to contain the high concentration of the chemical. Fluopyram will be lost primarily by reaction (55.9%) and advection from water (39.7%). An overall residence time of 845 hours (35.3 days) is predicted by the model, as well as reaction and advection residence times of 1403 hours (58.5 days) and 2122 hours (88.4 days), respectively. Fluopyram is therefore not expected to be environmentally persistent, and reaction is predicted to be the key factor in the overall persistence. Fluopyram has a very low potential for atmospheric transport as only a very small portion of the chemical (2.42 x 10−03%) is predicted to leave the model environment in the advecting air
RP-HPLC Method Development, Validation Including Stability Indicating and Forced Degradation Studies for the Estimation of Pemetrexed in API and Pharmaceutical Dosage Form
Authors: Vallakeerthi Narmada , Sanjeev A. , Suman D. , Ravinder Nath A. , Muralidhar Reddy P. 
Published: November 2023

AbstractStability indicating analytical RP-HPLC (Reverse Phase- High performance Liquid Chromatography) method was developed for the analysis of the drug in the presence of its degradation products and subsequent validation of Pemetrexed that was conducted in API and pharmaceutical dosage form. Pemetrexed was subjected to different stress conditions as per International Conference on Harmonization (ICH) guidelines, stress conditions applied were including the effect of acid, base, oxidative, hydrolysis, thermal and photolytic degradation conditions. Chromatographic separation of API (Active Pharmaceutical ingredient) was achieved on Water’s HPLC instrument and ODS C18, 250x4.6 mm, 5µm particle size column with gradient elution of 0.1% ortho phosphoric acid buffer: Acetonitrile 80:20 ratio was taken as the eluent (mobile phase). The buffer pH was maintained at 3, the flow rate was 1.0 ml/min and wavelength were detected at 225 nm. The Retention time (RT) of Pemetrexed was Found at 2.9 minutes, column temperature was kept ambient and the runtime was 6 min. System suitability parameters like theoretical plates, tailing factor, and Asymmetry values were showed at 3391, 1.41, and 1.101 respectively. The percentage drug purity was found to be 99.99%. Validation of the method was proved that linear relationship over the range of 25-150 µg/mL, with linear regression curve (correlation coefficient) r2value was noticed at 0.999 and LOD (limit of detection), LOQ (limit of quantification) values was established at 0.33µg/mL, 0.99µg/mL respectively. Recovery studies carried out at the concentrations of 50%, 100% and 150% with percentage recovery values of 100.06, 99.8 and 99.87 respectively. The precision of intraday was 0.64% and inter-day was 0.95%. Robustness of flow rate and mobile phase was changed even though the method was Robust. Forced degradation studies were also conducted to check the stability and suitability of this method to resolve the degradation products. Method validation was proved to be accurate, precise, linear, repeatable and robust. Thus, the accepted method can be proceeded for the estimation of Pemetrexed in pharmaceutical dosage form in a daily basis, due to their simplicity, suitability, accuracy, robustness and reproducibility.