bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of topological defects and Yukawa potential combined with inverse square on eigenvalue spectra of diatomic molecules O
2, NO, LiH, HCl
Authors: Ahmed Faizuddin , Kumar Nayek Sujay 
Published: December 2023

Abstract
In this paper, we investigate a quantum system composed of non-relativistic particles interacting with an external potential while in the presence of a topological defect produced by a point-like global monopole. We derive the radial equation of the Schrödinger equation for this system, considering a Yukawa potential combined with inverse square potential within the backdrop of a point-like global monopole. To determine the eigenvalue solutions for this quantum system, we employ a suitable approximation scheme known as the Pekeris approximation. This approximation is applied to the centrifugal term, and we solve the resulting radial equation using the parametric Nikiforov-Uvarov (NU) method. Subsequently, we examine the quantum system when only Yukawa potential is present, and we obtain the eigenvalue solutions using the same procedure. In both cases, we observe that the presence of the global monopole topological defect has a significant impact on the energy spectrum of quantum particles interacting with an external potential. To illustrate this effect, we consider a few diatomic molecules, such as O
2, NO, LiH, and HCl. We present the energy spectrum and compare our results with previously published findings in the literature. Furthermore, we generate several plots to visually depict the influence of the global monopole on the energy eigenvalues for these different molecules.
Machine learning models for capacitance prediction of porous carbon-based supercapacitor electrodes
Authors: Tawfik Wael Z , Mohammad Samar N , Rahouma Kamel H , Salama Gerges M , Tammam Emad 
Published: December 2023

Abstract
Energy storage devices and systems with better performance, higher reliability, longer life, and wiser management strategies are needed for daily technology advancement. Among these devices, the supercapacitor is the most preferable due to its high-limit capacitance that esteems more than different capacitors. Today, it is considered a significant challenge to design high-performance materials for supercapacitors by exploring the interaction between characteristics and structural features of materials. Because of this, it is essential to predict capacitance when assessing a material’s potential for use in constructing supercapacitor-electrode applications. Machine learning (ML) can significantly speed up computation, capture complex mechanisms to enhance the accuracy of the prediction and make the best choices based on detailed status data. We aimed to develop a new strategy for the assisted design of high-performance supercapacitor materials by applying ML to analyze the relationship between capacitance and structural features of porous carbon materials (PCMs) using hundreds of experimental data in the literature. In the present study, Linear Regression (LR), Regression Tree (RT), and Adaptive Neuro-Fuzzy Inference System (ANFIS) were used to estimate the supercapacitor’s capacitance. The effectiveness of the ML models was evaluated in terms of the root mean square error (RMSE), mean absolute error (MAE), and the correlation between expected yield and system-provided yield. The developed ANFIS model, with RMSE, MAE, and R values of 22.8, 39.7647, and 0.90004, respectively, compares favourably regarding prediction performance to other models built for this purpose.
The SUSY partners of the QES sextic potential revisited
Authors: Contreras-Astorga Alonso , Escobar-Ruiz Adrian M , Linares Román 
Published: December 2023

Abstract
In this paper, the SUSY partner Hamiltonians of the quasi-exactly solvable (QES) sextic potential

V

qes

(
x
)
=
ν

x

6

+
2

ν

μ

x

4

+

μ

2

−
(
4
N
+
3
)
ν

x

2

,

N
∈

Z

+

, are revisited from a Lie algebraic perspective. It is demonstrated that, in the variable z = x
2, the underlying

sl

2

(
R
)

hidden algebra of V
qes(x) is inherited by its SUSY partner potential V
1(x) only for N = 0. At fixed N > 0, the algebraic polynomial operator h(x, ∂
x
; N) that governs the N exact eigenpolynomial solutions of V
1 is derived explicitly. These odd-parity solutions appear in the form of zero modes. The potential V
1 can be represented as the sum of a polynomial and rational parts. In particular, it is shown that the polynomial component is given by V
qes with a different non-integer (cohomology) parameter

N

1

=
N
−

3

2

. A confluent second-order SUSY transformation is also implemented for a modified QES sextic potential possessing the energy reflection symmetry. By taking N as a continuous real constant and using the Lagrange-mesh method, highly accurate values (∼20 s. d.) of the energy E

n
= E

n
(N) in the interval N ∈ [ − 1, 3] are calculated for the three lowest states n = 0, 1, 2 of the system. The critical value N

c
above which tunneling effects (instanton-like terms) can occur is obtained as well. At N = 0, the non-algebraic sector of the spectrum of V
qes is described by means of compact physically relevant trial functions. These solutions allow us to determine the effects in accuracy when the first-order SUSY approach is applied on the level of approximate eigenfunctions.
Neutron star core-crust transition and the crustal moment of inertia in the nonlinear relativistic Hartree approximation*
Authors: Li 李 Niu 牛 , Wei 韦 Si-Na 斯纳 , Yang 杨 Rong-Yao 荣瑶 , Ye 叶 Jing 婧 , Jiang 蒋 Wei-Zhou 维洲 
Published: December 2023

Abstract
We investigate the effects of the σ meson mass (

), symmetry energy, and slope of the symmetry energy on the neutron star core-crust transition density and the crustal moment of inertia (

) in the nonlinear relativistic Hartree approach (RHA), which includes vacuum polarization. Although the core-crust transition density (

), pressure (

), and neutron star radius (R), which are all dependent on the symmetry energy, contribute to determining

, we find that changing only the slope of symmetry energy within a reasonable range is not sufficient to reach

% to achieve the large glitches of the Vela pulsar. However, since all three factors (

,

, and R) increase with the increase in

through scalar vacuum polarization, adjusting

can easily achieve

%.
The influence of the laser cutting process parameters on the quality of the cut edge
Authors: Łatka L , Jonda E , Kiełczawa T 
Published: December 2023

Abstract
The article describes the influence of the parameters of laser cutting on the cut edge quality of 10 mm S355J2 structural steel. The cutting process was carried out with a fiber laser. The basic evaluation criteria were measurements of perpendicularity tolerance, average profile height of roughness Rz5, visual evaluation, and measurements of hardness HV10. Moreover, the factorial regression models were prepared to investigate the standardized effects of the process parameters on the cutting quality. The variable process parameters were laser beam power, cutting velocity and working gas pressure. For regression modeling, low and high levels of these factors were considered representing the effective range of each parameter. The research presented in this paper proves that there are statistical correlations between the examined factors that have a significant impact on the achieved cutting effect. By the analysis of the process control parameters, it is possible to achieve an optimal level of quality that facilitates further technological operations on a given cutting product.
Simulation model of a patient with type 1 diabetes using fuzzification
Authors: Zientarski T , Miłosz M , Nowicki T , Kiersztyn A , Wójcicki P , Gutek D 
Published: December 2023

Abstract
Type 1 diabetes is one of the most common diseases. The disease is caused by a lack of insulin secretion from the beta cells of the pancreas, which leads to improper regulation of blood glucose levels. The article presents a simulation model for determining changes in glucose-insulin levels using fuzzy logic techniques. The work concerns a quite simple deterministic simulation model of a digital twin of a type 1 diabetes patient, and fuzzification can significantly improve the efficiency of this model. A series of numerical experiments showed that enriching a simple deterministic patient model with a fuzzy approach gives much more accurate results than the simple deterministic model. The use of fuzzy sets opens up a number of possibilities and is a completely natural approach, resulting from, among others, the specificity of the simulated phenomenon - vital parameters of people with type 1 diabetes.
Quantitative and qualitative analysis of surface runoff from the exemplary rest area (RA)
Authors: Suchorab P , Kowalski D , Iwanek M , Kowalska B , Hołota E 
Published: December 2023

Abstract
Due to the changed nature of atmospheric precipitation and an increasing water deficit, the possibilities of water retention where rainwater occurs have been more and more popular in recent decades. Yet, no comprehensive studies have been carried out in Poland to show the possibilities of economic use of water flowing out from roads, not only in terms of quantity but also quality. The aim of this paper is to present the findings of the quantitative and qualitative analysis of the surface runoff from an exemplary rest area (RA). The analysis followed the hydrodynamic method and was divided into two parts: runoff analysis and quality analysis related to the amount of the Total Suspended Solids (TSS) washed off from the analyzed RA during precipitation events. The findings prove that the case study RA is efficiently drained in terms of hydraulic conditions. The qualitative analysis showed that the concentration of the TSS exceeded the maximum acceptable level during all rainfall events. However, in-situ tests of the quantity and quality of rainwater from the RA are highly recommended.
Aeroacoustic Tonal Noise: Theoretical and Practical Approaches for Flow and Sound Analysis
Authors: Nagy P. T. , Szabó A. , Paál G. , Rucz P. 
Published: December 2023

Abstract
Aeroacoustic tonal noise, often caused by self-excited flow oscillations, represents a significant challenge in various engineering applications. One prominent example is the cavity tone, responsible for undesirable sound emissions from gaps found on the surfaces of vehicles, door gaps, and pantographs of trains. A similar configuration, known as the edge tone, appears in musical instruments. This paper aims at presenting a comprehensive framework consisting of practical and theoretical tools to analyze these complex flows and the resulting emitted sound. These tools can facilitate the development of mitigation strategies and the optimization of design parameters to minimize unwanted noise emissions.
Complex analytical transducer model of a permanent magnet synchronous motor for vibroacoustic applications
Authors: Kimpián Tibor , Augusztinovicz Fülöp 
Published: December 2023

Abstract
This paper presents the complex analytical transducer model of a Permanent Magnet Synchronous Motor (PMSM) for vibroacoustic applications, meaning when the motor actually does not rotate but only the rotor oscillates with low amplitude around an equilibrium position relative to the stator. Using only two assumptions – sinusoidal air-gap flux density and evenly distributed winding – the single phase transducer model is introduced, which is then extended to cover motors with any number of phases. The article proposes adequate transducer symbols and transmission equations as well. In order to enhance the practical relevance of the proposed approach, it is shown that using complex amplitudes and appropriate phase shift vectors in the transducer equations, a complex parameter transducer model can be obtained for sinusoidal signals.
Symplectic time-domain finite element method (STD-FEM) extended with wave propagation in porous materials for automotive interior acoustic modeling
Authors: Huszty Csaba , Firtha Gergely , Izsák Ferenc 
Published: December 2023

Abstract
The prediction of sound field evolving inside automotive interiors has gained significant attention in recent years, both for acoustic design purposes and virtual reality applications. Recently, a novel numerical simulation method was proposed by the present authors termed as symplectic time-domain finite element method. This paper discusses the numerical method and its application for simulating sound fields inside vehicle interiors. The presented case study includes the effect of seat absorption and non-rigid boundaries by applying either locally reacting, or elastic surface models exhibiting extended reactivity.
The global long-term effects of storm surge flooding on human settlements in coastal areas
Authors: Kunze Sven , Strobl Eric A 
Published: December 2023

Abstract
People in low-lying coastal areas live under the great threat of damage due to coastal flooding from tropical cyclones. Understanding how coastal population settlements react to such events is of high importance for society to consider future adaptation strategies. Here we generate a new global hydrodynamic data set on tropical cyclone-generated storm surge flooding for the period 1851–2020. By combining this data with spatial data on human populations, we analyze the influence of the depth of storm surge flooding on the rural, urban, and total populations in low elevation coastal zones from 1941–2010. We find that in response to a one standard deviation increase in storm surge flooding depth (0.43 m), the exposed population in a

10
×
10

km low elevation coastal zone decreases by around 970 individuals on average per decade. This reduction corresponds to 9% of the average population living in an exposed grid cell. Tropical cyclone generated wind speed and rainfall do not influence the relocation of coastal populations. The majority of the threatened population lives in Eastern, South–Eastern, and Southern Asia. We show that the exposed coastal population appears to have adapted over time by reducing its exposure in recent decades. This finding applies to all regions other than North America, Oceania, and Western Asia.
High ambient air pollution erodes the benefits of using clean cooking fuel in preventing low birth weight in India
Authors: Parchure Ritu , Chaudhary Ekta , Darak Shrinivas , Ghosh Santu , Kumar Alok , Dey Sagnik 
Published: December 2023

Abstract
A large fraction of the population in rural India continues to use biomass fuel for cooking and heating. In-utero exposure to the resulting household air pollution (HAP), is known to increase the risk of low birth weight (LBW). Mitigating HAP, by shifting to clean cooking fuel (CCF), is expected to minimize the risk associated with LBW. However, India also has high levels of ambient air pollution (AAP). Whether exposure to AAP modifies the effect of reducing HAP by switching to CCF on LBW is not known. The present study addressed this knowledge gap by analyzing the National Family Health Survey (2019–21) data of the most recent full-term, singleton, live births from rural households born after 2017 (n = 56 000). In-utero exposure to AAP was calculated from satellite-derived ambient fine particulate matter (PM2.5) concentration at the level of the primary sampling unit for the pregnancy duration of the mothers. The moderation by ambient PM2.5 level on the odds of LBW among CCF users was examined by logistic regression analysis with interaction. The adjusted odds ratio (aOR) of LBW was 7% lower among users of CCF. At the lowest Decile (20–37 μg m−3) of ambient PM2.5 exposure, the aOR of LBW among CCF users was 0.83 (95% CI:0.81–0.85). At every 10th percentile increase in ambient PM2.5 exposure (in the range 21–144 μg m−3), aOR increased gradually, reaching the value of 1 at PM2.5 level of 93 μg m−3. Our results, therefore, suggest that the benefit of using CCF during pregnancy may be downgraded by moderate to high ambient PM2.5 exposure.
An Explanation of Lean Six Sigma Barriers: Malaysia Wastewater Treatment Chapter
Authors: Ishak A , Mohamad E , Arep H , Ito T 
Published: December 2023

Abstract
This study examines Lean Six Sigma (LSS) implementation challenges in Malaysian wastewater treatment plants (WWTPs) to enhance the sustainability. LSS, known for waste reduction through the “reduce, reuse, and recycle” (3R) principles and statistical process stability, has excelled in manufacturing but faces hurdles in WWTPs. The need arises to consolidate LSS knowledge and identify key barriers. Findings indicate that “Management Barriers” (MgtBars) significantly influence “Resource Barriers” (ResBars), “Knowledge Barriers” (KnwBars), and “Process Barriers” (PrcBars) with a p-value < 0.005. This emphasizes the urgency for skilled WWTP personnel to adopt LSS, thereby improving compliance and wastewater treatment service quality.
Evaluation of the distinct and uniformity of upland rice superior varieties candidates
Authors: Mustikarini Eries Dyah , Prayoga Gigih Ibnu , Santi Ratna , Yulisa  
Published: December 2023

Abstract
Rice production needs to be increased by using new superior varieties of upland rice. Currently, 5 promising lines of upland rice have been produced through plant breeding programs. Before being registered as a variety, plant variety canadidates must have distinct and uniform criteria. This research was conducted to determine distinctiveness, uniformity and recommendations for 5 promising lines as candidates for upland rice of new superior varieties. This research was conducted from August 2022 to March 2023 at the Experimental and Research Station, Universitas Bangka Belitung. The research material consists of 5 F8 lines and 5 comparison varieties. Data analysis used the Analysis of Variance (ANOVA) followed by the Duncan Multiple Range Test (DMRT) and uniformity test. The results of ANOVA test showed were significant differences in the characters of plant height, flag leaf length, panicle length, filled grain weight per clump, and 1000 grain weight. The promising lines show distinct characteristics of seed color, plant height, number of productive tillers, and panicle length. Narrow variability values indicate a high level of uniformity with the expected lines of uniformity ranging from 88-100%. Lines 23A-56-22-20-05 (brown rice) and 23A-56-20-07-20 (white rice) with high production are recommended as candidates for new superior varieties of upland rice.
Portable solar array technology in remote operation of electric-based vehicles for TNI vehicles
Authors: Fajry Z. A. , Ananda D. D. , Erwinda M. A. , Ariyanti D. 
Published: December 2023

Abstract
Indonesia’s geographical expanse, spanning from Sabang to Merauke, ensures a consistent and predictable supply of solar energy due to its perpetual shining period. This presents a significant opportunity for the country to embrace sustainable and renewable energy sources, with solar power being particularly advantageous given Indonesia’s tropical climate. However, the conversion of solar heat into electrical energy offers a compelling solution, enabling the utilization of portable solar arrays to meet the electricity requirements of military vehicle operations while simultaneously reducing reliance on fossil fuels. Solar thermal energy to electrical energy conversion requires efficient energy storage devices. Sodium batteries are more robust and eco-friendly. Moreover, portable solar panels can serve as an energy source for various military tasks, including powering tents and charging communication equipment. By incorporating solar energy into their operations, the Indonesian army can enhance their operational capabilities while reducing their dependence on conventional energy sources. In conclusion, capitalizing on Indonesia’s abundant sunlight and tropical climate through the deployment of portable solar arrays and sodium-based batteries presents a sustainable and reliable solution for meeting the energy needs of military operations. This approach enables the Indonesian army to effectively conduct their missions while simultaneously minimizing their environmental impact.
Study on microstructure and wear characteristics of carburized steel at different carburizing times using catalyst strombus turturella shell waste powders
Authors: Ramli  , Suhdi  , Rodiawan  , Wu Chung-Chun 
Published: December 2023

Abstract
The feasibility of strombus turturella or dog conch shell powder (DCSP) as a catalyst of the carburizing process was investigated. The microstructure and wear characteristics of carburized specimens at various carburizing times were determined and compared. The microstructures and chemical compositions of the carburized specimen were observed by Scanning Electron Microscopy (SEM) machine with a detector energy dispersive spectroscopy (EDS). The wear characteristics were detected by a Pin-on-disk wear testing machine. While the worn surface morphology of carburized specimens was examined by Scanning Electron Microscopy (SEM) machine. The number of martensite structures of carburized specimens increased by increasing the carburization time from 3 to 12 hours. From the results, it is found that the volume loss value of 0.1 mm3, and wear depths value of 0.18 mm were obtained from carburized specimens prepared with 40% DCSP and carburizing time of 12 hours. This result is much better than that obtained by carburizing times of 6, and 3 hours, respectively. Moreover, the worn surface morphology results depicted that the carburized specimens for carburization times of 3, and 6 hours exhibit more severe spalling, wear debris, and extensive adhesion wear and grooves than that achieved of carburized specimens with a carburizing time of 12 hours. The results clearly showed that the wear characteristics of carburized specimens improved with increasing carburizing time.
Exploration of challenges and readiness MSMEs coffee business in the age of global trade based on carbon footprint (Ecolabel)
Authors: Handayani T , Purnamasari B D , Sakti A Y N , Septiani M , Wiloso E I , Sasongko N A 
Published: December 2023

AbstractIndonesia’s export-oriented products and industries face technological barriers, especially agriculture, and plantations, to declare eco-label products in world trade competition. In fact, exports from this sector are one of the contributing factors to Indonesia’s GDP. The third rank of Indonesia’s mainstay agricultural and plantation sector export commodities is coffee. This study aims to comprehensively determine the challenges and readiness of coffee micro, small and medium enterprises (MSMEs) in Java in the global trade era based on carbon footprint. This study uses in-depth interviews with 7 coffee MSME actors in West and East Java. We use SWOT analysis to explore strengths, weaknesses, opportunities, and threats. The results showed that only 4 out of 7 coffee MSME actors knew about carbon footprint. This is due to limited knowledge of carbon reduction, carbon tax, and the advantage of the certification. Carbon footprint certification is considered an investment. Even though the certification process will be costly, meticulous, and lengthy, it can be an opportunity for the domestic products to be competitive with global products. The government must really know which business sectors will be subject to carbon tax so that they are right on target. They must consolidate with all related parties such as business owners, farmers, academics, and associations.