bluuebunny/crossref_metadata_2025_split huggingface dataset:
The synergetic effect of economic complexity and governance on quality of life: policy thresholds
Authors: Hassanein Eslam A. , Samak Nagwa , Abdelaziz Salwa 
Published: September 2024

AbstractThis study aims to bridge the empirical research gap in governance-modulating effects on the link between a country’s productive structure and individuals’ well-being. In doing so, this study utilizes the economic complexity index to quantify a country’s productive structure and the social progress index to measure quality of life. The empirical strategy relies on the system-GMM approach, covering 75 developing countries from 2011 to 2021. The following conclusions were drawn from the empirical analysis. (1) Economic complexity and governance consistently and unconditionally improve quality of life. (2) Governance substantially modulates economic complexity to enhance quality of life, generating an overall positive net effect. (3) The results remain robust and consistent across several GMM specifications, regardless of whether the six governance indicators compiled by the World Bank were clustered using principal component analysis into four categories (i.e., general, political, economic, and institutional) or used individually. (4) Of the six governance indicators, government effectiveness, the rule of law, and control of corruption were found to be particularly significant, as were economic and institutional governance. (5) An additional threshold analysis was implemented to identify the critical governance levels that further improve quality of life. The thresholds for complementary policies are then established as follows: 0.8435, 1.846, and 1.717 for government effectiveness, rule of law, and corruption control, respectively, and 5.59, 3.14, and 3.32 for general, institutional, and economic governance, respectively. Consequently, economic complexity and governance are necessary and sufficient to improve well-being below these thresholds. Complementary policies are, however, necessary to sustain the overall positive impact beyond these thresholds. The findings of this study provide insights into complementary policies for leveraging economic development to improve the well-being of developing countries.
Enhancing WEDM performance on Mg/FeCoCrNiMn HEA composites through ANN and entropy integrated COCOSO optimization
Authors: Gopal P. M. , Kavimani V. , Sudhagar S. , Barik Debabrata , Paramasivam Prabhu , Vemanaboina Harinadh 
Published: September 2024

The aim of this experimental work is to find the ideal wire electric discharge machining (WEDM) parameter combination for processing a novel FeCoCrNiMn High Entropy Alloy (HEA)-reinforced magnesium composite. This composite is developed with varying weights of FeCoCrNiMn at 5%, 10%, and 15% through powder metallurgy. Experiments are performed to examine the effects of HEA and wire-EDM variables on surface roughness (Ra) and kerf width (KW) using Taguchi’s L27 orthogonal array. The hybrid ENTROPY-COCOSO (Combined Compromise Solution) methodology is used for multiple objective optimizations after the Taguchi method for optimization. The most significant constraints on Ra and KW are found to be pulse ON time and current. Wider kerfs and rougher surfaces are the result of longer pulse ON times and higher current. The ideal input parameters recommended by ENTROPY-COCOSO for minimal Ra and KW are 2 A of current, 20 µs of pulse ON time, 25 µs of pulse OFF time, and 4 mm/min of wire feed rate. To predict outcomes, both linear regression models and artificial neural networks (ANNs) are used, and the results are compared with experimental data. The results are validated by the fact that ANN predictions closely match experimental data with minimal deviation.
Inoculation of halotolerant plant-growth-promoting bacteria improved the growth of chia (Salvia hispanica L.) in saline and nonsaline soils
Authors: Yañez-Yazlle María Florencia , Locatelli Michelangelo , Acreche Martín Moises , Rajal Verónica Beatriz , Irazusta Verónica Patricia 
Published: September 2024

Context Chia (Salvia hispanica L.), a nutrient-rich crop with potential application in different industries, is sensitive to salinity. Halotolerant plant-growth promoting bacteria could be a biotechnological strategy to increase chia’s salinity tolerance. Aims The aim of this study was to determine the morphological and physiological response of chia plants inoculated with free-living halotolerant plant-growth promoting bacteria and grown in saline soils under greenhouse conditions. Methods A total of 15 bacterial treatments were inoculated to plants potted in soils with three electrical conductivity levels: 0.5, 4, and 6 dS m−1. Mortality and morphological and physiological parameters were evaluated. The measured variables were used to calculate a relative growth index. Key results Bacterial inoculation had a positive effect on plants at 4 dS m−1. Plants inoculated with Pseudomonas sp. AN23, Kushneria sp. T3.7, and C6 (Halomonas sp. 3R12 + Micrococcus luteus SA211) exhibited the best morphological and physiological performance (51% longer shoots, up to 90% heavier roots and up to 400% higher photosynthetic rate than control plants). Moreover, plants inoculated with Kushneria sp. T3.7 and C5 (Halomonas sp. 3R12 + Pseudomonas sp. AN23) showed significant increase in stomatal conductance and transpiration rate (up to 12 times) and in proline production (up to 345 μg g−1 leaf fresh weight) with respect to control plants (8 μg g−1 leaf fresh weight) under saline conditions. Conclusions The analysed extremophilic plant-growth promoting bacteria enhanced growth and stress tolerance in chia, a salt-sensitive crop. Implications Free-living plant-growth promoting bacteria isolated from hypersaline environments have potential for bioinoculant formulation for salinity-sensitive crops.
Optimising seismic imaging design parameters via bilevel learning
Authors: Downing Shaunagh , Gazzola Silvia , Graham Ivan G , Spence Euan A 
Published: September 2024

Abstract
Full waveform inversion (FWI) is a standard algorithm in seismic imaging. It solves the inverse problem of computing a model of the physical properties of the earth’s subsurface by minimising the misfit between actual measurements of scattered seismic waves and numerical predictions of these, with the latter obtained by solving the (forward) wave equation. The implementation of FWI requires the a priori choice of a number of ‘design parameters’, such as the positions of sensors for the actual measurements and one (or more) regularisation weights. In this paper we describe a novel algorithm for determining these design parameters automatically from a set of training images, using a (supervised) bilevel learning approach. In our algorithm, the upper level objective function measures the quality of the reconstructions of the training images, where the reconstructions are obtained by solving the lower level optimisation problem—in this case FWI. Our algorithm employs (variants of) the BFGS quasi-Newton method to perform the optimisation at each level, and thus requires the repeated solution of the forward problem—here taken to be the Helmholtz equation. This paper focuses on the implementation of the algorithm. The novel contributions are: (i) an adjoint-state method for the efficient computation of the upper-level gradient; (ii) a complexity analysis for the bilevel algorithm, which counts the number of Helmholtz solves needed and shows this number is independent of the number of design parameters optimised; (iii) an effective preconditioning strategy for iteratively solving the linear systems required at each step of the bilevel algorithm; (iv) a smoothed extraction process for point values of the discretised wavefield, necessary for ensuring a smooth upper level objective function. The algorithm also uses an extension to the bilevel setting of classical frequency-continuation strategies, helping avoid convergence to spurious stationary points. The advantage of our algorithm is demonstrated on a problem derived from the standard Marmousi test problem.
Inserting colloidal quantum dots into GaN mesa-array subsurface porous structures through electrochemical etching for display color conversion application
Authors: Yang Shaobo , Chu Chun-Jui , Li Zong-Han , Chen Wei-Cheng , Feng Hsi-Yu , Yang C C 
Published: September 2024

Abstract
High-efficiency photon color conversion is an approach of great potential for implementing color display. Inspired by the observation of emission enhancement in a nanoscale cavity, a novel technique to fabricate an array of color converter by mixing colloidal quantum dots (QDs) with the electrolyte of an electrochemical etching (ECE) process is demonstrated. In this process, QDs flow with the electrolyte into the etched subsurface nanoscale porous structure (PS) and settle inside. Since the PS formation and hence QD insertion are controlled by the flow path of the applied electric current in the ECE process, this technique can be used for fabricating any graphic pattern. The nanostructure of such a QD-inserted mesa is examined to confirm QD insertion. Although only single-color mesa arrays are demonstrated in this paper, this technique can be used for fabricating a multiple-color mesa array if a QD or a light-emitting nanoparticle of higher thermal stability is available.
Realization of chiral two-mode Lipkin–Meshkov–Glick models via acoustics
Authors: Zhou Yuan , Wang Jing-Wei , Cao Lian-Zhen , Wang Guang-Hui , Shi Ze-Yun , Lü Dong-Yan , Huang Hai-Bo , Hu Chang-Sheng 
Published: September 2024

Abstract
The chirality-controlled two-mode Lipkin–Meshkov–Glick (LMG) models are mimicked in a potential hybrid quantum system, involving two ensembles of solid-state spins coupled to a pair of interconnected surface-acoustic-wave cavities. With the assistance of dichromatic classical optical drives featuring chiral designs, it can simulate two-mode LMG-type long-range spin-spin interactions with left-right asymmetry. For applications, this unconventional LMG model can not only engineer both ensembles of collective spins into two-mode spin-squeezed states but also simulate novel quantum critical phenomena and time crystal behaviors, among others. Since this acoustic-based system can generate ion-trap-like interactions without requiring any additional trapping techniques, our work is considered a fresh attempt at realizing chiral quantum manipulation of spin-spin interactions using acoustic hybrid systems.
A continuum soft robotic trout with embedded HASEL actuators: design, fabrication, and swimming kinematics
Authors: Hess Isabel , Musgrave Patrick 
Published: September 2024

Abstract
Autonomous underwater vehicles with greater maneuverability, efficiency, and resiliency are needed to meet the challenges of exploring and monitoring the underwater world, so we look to underwater creatures to uncover what makes them such excellent swimmers. Bio-inspired, soft robots can combine the performance of biological swimming with the robustness of soft construction, where the ideal robot has a jointless, flexible body with embedded muscles just like real fish. In this paper, we present a continuously deformable robotic trout with embedded electro-hydraulic hydraulically amplified, self-healing electrostatic artificial muscles, experimentally characterize its swimming kinematics, and report a reduced order numerical model which predicts the robot fish’s natural frequencies and mode shapes. We characterized the robot’s 3D full body swimming kinematics while submerged in water with digital image correlation. The soft robot undergoes whole body bending in response to internal muscle actuation and yields kinematics comparable to biological trout. Tail beat velocity was measured at the first three observed natural frequencies with a maximum of 69 mm s−1 corresponding to a caudal fin trailing edge displacement of ±10 mm. We derive a beam-based fluid structure interaction (FSI) model which predicts swimming kinematics in response to embedded muscle forces and includes the effects of nonlinear vortex and convective forces on the robot’s body. The nonlinear FSI model predicted the first three damped natural frequencies within 5% error and mode shapes which correlated with the experimental data. This paper contributes the design, fabrication, and characterization of a solid-state robotic trout featuring whole-body flexibility and embedded actuation through numerical modeling and experimental analysis.
Harnessing ZnO morphologies in energy application and sustainable development
Authors: Phogat Peeyush , Shreya  , Jha Ranjana , Singh Sukhvir 
Published: September 2024

Abstract
Zinc oxide (ZnO) is a remarkably versatile material, with diverse tailored morphologies for a variety of applications. This chapter delves into the exploration of various ZnO morphologies, including nanoflowers, nanorods, nanospheres, nanocubes, nanotubes, nanowires, quantum dots, hollow spheres, and core–shell structures, along with their respective practical applications. Nanoflowers, distinguished by intricate petal-like structures, excel as catalysts in chemical reactions, advancing catalysis and fine chemical synthesis. ZnO nanorods, characterized by their high aspect ratio, enhance energy conversion in solar cells, increasing light absorption and facilitating electron transport. ZnO nanospheres, spherical nanoparticles with extensive surface area, play a pivotal role in photocatalysis, purifying wastewater and air by decomposing organic pollutants. ZnO quantum dots, with size-dependent quantum confinement effects, underpin progress in optoelectronics, enhancing solar cells, LEDs, and sensors with tunable bandgaps and exceptional optical properties. Hollow ZnO spheres, with their unique void-centered structure, find use in controlled drug delivery, enabling targeted release with minimal side effects. They also serve as versatile templates for synthesizing various nanomaterials. core–shell structures, where ZnO cores are encapsulated by other materials, provide sensitivity and protection in sensors and drug delivery systems, tailored to environmental sensing or precise control over drug release rates and durations. The versatility of ZnO, embodied through its various morphologies, spans diverse applications, from catalysis and photovoltaics to environmental remediation, drug delivery, and personal care products. This chapter provides a comprehensively study of distinct ZnO morphologies and new possibilities of those structures across scientific and industrial realms, leaving an enduring impact on modern technology and improving everyday life.
Effect of staggered sublattice potential on electronic and transport properties of Bi(111) pristine and hydrogen-passivated nanoribbons
Authors: Munna Mahfuzur Rahman , Khan Md Niloy , Alam Mahbub 
Published: September 2024

Abstract
We investigate the impact of staggered sublattice potential (SSP) on the electronic and transport properties of Bi(111) bilayer and nanoribbons through first-principle calculations and the nonequilibrium Green's function method. We find that the topological phase transition of Bi(111) bilayer from topologically nontrivial (Z
2 = 1) to topologically trivial (Z
2 = 0) occurs at Δ = 1.77 eV SSP. Our study also reveals that energy bandgap opens for both pristine zigzag and armchair nanoribbon as the strength of the SSP (Δ > 1.50 eV for armchair nanoribbons and Δ > 1.90 eV for zigzag nanoribbons) increases, transitioning from non-trivial metallic edge states to insulating edge states. Furthermore, we explore the influence of SSP on edge-passivated zigzag nanoribbon. Through edge passivation, the dangling bonds are eliminated. As a result, it requires 0.4 eV less SSP to open an energy gap in edge-passivated nanoribbons compared to pristine nanoribbons. These findings hold promise for the advancement of Bi(111) nanoribbon-based field-effect transistors and spintronic devices.
Wideband CPW fed four port MIMO antenna based microwave sensor for deep brain temperature measurement
Authors: Singh Tilakdhari , Mishra Piyush Kumar , Pal Aditya , Tripathi Vijay Shanker 
Published: September 2024

Abstract
This study presents a wideband CPW fed four-port multi-input multi-output (MIMO) antenna-based microwave sensor for measuring deep brain temperature inside human head. The range of frequency is from 5.45 to 8.56 GHz at the resonance frequency of 7.25 GHz. Coplanar Waveguide (CPW) fed approach on a low-cost FR4 substrate is used in designing the planar antenna. The presented antenna is compact, having overall dimensions of 40 × 40 × 1.6 mm3. In the operational frequency range, the obtained diversity performance for MIMO antenna shows Envelope Correlation Coefficient (ECC) < 0.05, Diversity Gain > 9.95, total active reflection coefficient (TARC ) < −13 dB and channel capacity loss (CCL) < 0.125 bits/S/Hz. For deep brain temperature measurements, the proposed sensor provides electric field of 3.92 V m−1 and specific absorption rate (SAR) value of 0.16 W kg−1 at the 9 mm distance inside the human head Phantom. The proposed sensor is capable of measuring 0.1 °C change in temperature at 10 W of input power for 60 s when all four ports are active.
Electrical and dynamic mechanical analysis of kenaf fiber reinforced epoxy composites hybridized with acacia concinna powder
Authors: Pachappareddy Chiranjeevi , Padhy Chinmaya Prasad , Pendyala Srinivas 
Published: September 2024

Abstract
The objective of this work is to create and analyze composites made of kenaf fibers and epoxy polymer, which are strengthened by the addition of Acacia concinna pod (ACP) powder. These composites are intended for use in electrical insulation applications. The study investigated the impact of alkali treatment using a 6% NaOH solution on kenaf fiber. The effects were analyzed in relation to the dielectric and dynamic mechanical properties, while also considering the addition of different quantities of ACP powder (0%, 4%, and 8%). The composites were produced using the hand layup method, and the dielectric constant, dissipation factor, storage modulus, loss modulus, and damping factor were assessed. The study demonstrated that NaOH-treated kenaf fiber composites displayed considerably lower dielectric constant values than untreated composites, due to increased fiber crystallinity and decreased moisture absorption. Dynamic Mechanical Analysis (DMA) found that untreated composites had greater storage modulus and glass transition temperature (Tg) due to reduced segmental motion at the fiber-matrix interface. SEM research indicated better fiber-matrix bonding in treated composites, with decreased voids and robust interlocking, notably in those containing 4% Acacia concinna (ACP) filler. These findings show that NaOH treatment substantially enhances the performance of hybrid composites for electrical insulating applications.
Physical properties of La:ZnO thin films prepared at different thicknesses using spray pyrolysis technique
Authors: Alsaiari Norah A , Awad Abanoub A , Ismail Motaz F , Aboud Ahmed A 
Published: September 2024

Abstract
Herein we investigate the impact of film thickness on the physical properties of Lanthanum (La) doped ZnO thin films. The films were fabricated using the spray pyrolysis technique with a consistent La content of 5 weight (wt) % in the initial solution. X-ray diffraction analysis indicated the presence of a hexagonal ZnO phase with preferred orientation along the (002) direction and no other phases were detected. The crystallite sizes were calculated using the Halder-Wagner equation, with a maximum size of 16.1 nm observed for a film thickness of 106 nm. Field-emission scanning electron microscopy (FE-SEM) images revealed the formation of a continuous film with an average grain size that increased as the thickness of the film increased. The grain size ranged from 74.5 to 136 nm as the film thickness varied from 106 to 426 nm. Films with lower thicknesses up to 196 nm exhibited two band gaps at approximately 3.2 and 4 eV, while films with higher thicknesses displayed a single band gap around 3.2 eV. The refractive index dispersion for all films was modeled using the Cauchy model, with parameters showing high dependence on the thickness values.The refractive index at high frequency, as calculated using the Cauchy model, was observed to decrease with increasing film thickness, ranging from 1.87 at 106nm to 1.63 at 426nm. Similar values were obtained by fitting the optical refractive index data with the Wemple-DiDomenico relation. Additionally, the UV sensing performance of the films was evaluated against UV light of a single wavelength (365 nm) at applied voltages of 10, 20, and 30V. The rise and decay times were measured, with the film thickness of 426 nm exhibiting the shortest rise and decay times at a specific applied voltage.
Stable RbCsFAPbI3 perovskite solar cell: numerical modelling and optimisation using SCAPS-1D
Authors: Valeti Naga Jyothi , Singha Monoj Kumar , Tupakula Sreenivasulu 
Published: September 2024

Abstract
The studies concerning solar cell technology has consistently been captivating and inspiring, largely because of its environmentally friendly and sustainable characteristics. The outstanding electronic, optical, mechanical, and electrical characteristics of perovskite materials make them crucial for the development of the photovoltaic industry. In order to model the mixed cation Rb0.05Cs0.1FA0.85PbI3 perovskite solar cells, the SCAPS-1D tool was used. The main feature of RbCsFAPbI3 perovskite is its remarkable stability, and wide bandgap. Rubidium (Rb) and cesium (Cs) cations improve the optoelectronic characteristics of the material, resulting in less non-radiative recombination and improved charge transfer. In this work, the effects of different hole transport layers (CuSCN, CuSbS2,Cu2O) and back metal contacts (Ag, Fe, C-Cu, Au, Ni, Pt) on solar cell performance were investigated. The maximum efficiency of the solar cell has been achieved by studying various parameters like temperature, series resistance, shunt resistance, defect density, and absorber layer thickness. With FF = 84.12%, Jsc = 24.52 mA cm−2, Voc = 1.19 V, and the configuration of FTO/TiO2/RbCsFAPbI3/Cu2O/Au, the optimised device obtains a PCE of 24.64%. The impressive enhancements in performance parameters observed in the structure of the device make it highly suitable for applications in solar energy harvesting systems.
A New Parameterization for Finding Solutions for Microlensing Exoplanet Light Curves
Authors: Hall Kylie E. , Yee Jennifer C. , Shin In-Gu , Yang Hongjing , Zhang Jiyuan 
Published: September 2024

Abstract
The gravitational microlensing method of discovering exoplanets and multi-star systems can produce degenerate solutions, some of which require in-depth analysis to uncover. We propose a new parameter space that can be used to sample potential solutions more efficiently and is more robust at finding all degenerate solutions for the “central-resonant” caustic degeneracy. We identified two new parameters, k and h, that can be sampled in place of the mass ratios and separations of the systems under analysis to identify degenerate solutions. The parameter k is related to the size of the central caustic, Δξ

c
, while h is related to the distance of a point along the k contour from log(s) = 0, where s is the projected planet-host separation. In this work, we present the characteristics of these parameters and the tests we conducted to prove their efficacy.