bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single-sensor time reversal positioning method by using PSO-VMD-FastICA
Authors: li peixuan , an qi , wang kepeng , an guoqing , han xiaohui , yang xiaorui , li yilong , liu dongsheng , he ping , wang su , wang weichao , liang yongchun , zhao yuyang 
Published: September 2024

Abstract

In order to locate the transformer partial discharge position, the time reversal method is proposed. However, a single sensor is highly susceptible to noise during positioning. Therefore, this paper proposes the PSO-VMD-FastICA algorithm for denoising. The algorithm makes full use of the advantages of VMD variable parameters, optimizes through PSO, and further decomposes by using FastICA. The effectiveness of PSO-VMD-FastICA is verified by comparing the positioning results with those of the time inversion method without noise interference and the ordinary VMD algorithm.
Power Quality Solutions for Rail Transport using AI-based Unified Power Quality Conditioners
Authors: Nishad D. K. , Tiwari A. N. , Khalid Saifullah , Gupta Sandeep 
Published: September 2024

Abstract

This research proposes an AI-controlled Unified Power Quality Conditioner (AI-UPQC) to enhance power quality in railway power supply systems. The AI-UPQC utilizes artificial neural networks (ANNs) to generate optimal reference signals for controlling the series and shunt active power filters (APFs). Simulation analysis in a typical 25 kV, 50 Hz traction power supply network demonstrates the effectiveness of the AI-UPQC in maintaining balanced supply voltage and mitigating current harmonics under nonideal operating conditions. The AI-based control strategy outperforms the conventional PI controller in tackling nonlinearity and parameter variations, resulting in superior harmonic mitigation, resonance damping, and dynamic performance. The AI-UPQC significantly reduces voltage and current total harmonic distortion (THD) compared to the uncompensated case and the PI-UPQC. Economic analysis reveals substantial cost savings from reduced equipment maintenance, avoided penalties, and improved energy efficiency. The proposed data-driven AI-UPQC system offers a promising solution to the power quality challenges faced by modern electrified railway transportation networks. Future research directions include advanced machine learning algorithms, real-world testing, scalability, integration with renewable energy sources, and comprehensive economic analysis.
The influence of vanadium doping lithium iron phosphate on the low temperature properties and the diffusion mechanism of lithium ion
Authors: Xue Juanjuan , Wang Yong , Lin Jianjian , Ke Xiwen , Liang Guangchuan 
Published: September 2024

Abstract

Lithium iron phosphate (LiFePO4) is one of the most important cathode materials for high-performance lithium-ion batteries in the future, due to its incomparable cheapness, stability and cycle life. However, low Li-ion diffusion and electronic conductivity, which are related to the charging rate and low-temperature performance, have become the bottleneck problem. This article begins with doping Mn/Ti/V elements to study the effect of LiFePO4 low temperature discharge, LiFe0.95V0.05PO4, LiFe0.95Ti0.05PO4, LiFe0.95Mn0.05PO4 has been prepared easily and discharge capacity at -20℃ has reached 88%,80%, 76% respectively compared with that at 25 ℃. V-doped mode promotes the spherical growth of lithium iron phosphate material, and the particles are nano-spherical whose transverse and longitudinal growth rate is relatively consistent combined with the two diffusion models: “Mosaic models” and “Radial models”. Moreover, much smaller primary particle size (390 nm) LiFe0.95V0.05PO4 material whose lattice parameters of a and b reduced while c parameter enlarged with the increase of V doping content, which finally resulted in an overall decreased cell volume promote lithium ion diffusion. The (101) interplanar spacing of LiFePO4, LiFe0.95Mn0.05PO4, LiFe0.95Ti0.05PO4 and LiFe0.95V0.05PO4 was 4.274 Å, 4.279 Å, 4.282 Å, and 4.291 Å respectively, V-doped LiFePO4 has good low temperature performance, and the low temperature discharge performance is the best when the doping ratio is LiFe0.95V0.05PO4, and the which discharge capacity ratio is 87.99% and 67.69% at -20 ℃ and -40 ℃ respectively contrast with that at 25 ℃. The structural electron and ion transport properties of V-doped LiFePO4 are calculated by density functional theory. It has a low formation energy at the Fe site, which can be stably doped at the Fe site and form Mn-O /Ti-O /V-O chemical bonds. It is obvious that after doping vanadium, the migration energy barrier of lithium ions and the activation energy decreases even greater, and the transmission rate of lithium ions increases, which can improve the low-temperature discharge performance of LiFePO4 cathode materials.
Electric-controlled switching ON/OFF of bands in a graphene based multi-band metamaterial absorber
Authors: Kumar Raghwendra 
Published: September 2024

Abstract

Optical switches utilizing micro/nanostructures are currently in high demand. To enhance frequency-selective light absorption and achieve absorption-mediated switching, a novel design of graphene-assisted multi-band metamaterial absorber is numerically investigated at optical to near-infrared frequencies. It features a thin silicon layer with circular perforations on a monolayer graphene supported by a metallic substrate. The finite integration technique-based Computer Simulation Technology (CST) Microwave studio is used for numerical simulations. The Coupled mode theory (CMT) is applied to validate the numerical results and to elucidate the origin of absorption. Simulation results show that the multi-band absorption is significantly enhanced due to critical coupling facilitated by guided-mode resonances within the system. The absorber exhibits four narrow absorption bands at wavelengths of 551 nm, 671nm, 817 nm, and 1071 nm, with absorptances of approximately 1, 0.54, 1, and 0.92, respectively. The full width at half maximum (FWHM) for these bands are 6 nm, 5 nm, 11 nm, and 8 nm, respectively. The main advantage of this absorber is its ability to electrically control the number of absorption bands. By applying an external gate voltage across the graphene layer, it can be switched from a multi-band absorber to a triple/double/single-band absorber or even a perfect reflector. The absorption spectra are investigated considering various factors, including different geometrical parameters, light polarization, chemical potential, and angle of incidence. Due to its multiple resonance wavelengths, high absorptance, insensitivity to polarization, and ability to switch bands, the proposed absorber holds promise for various applications across the visible to near-infrared frequency range.
Vulvovaginal Candidiasis and Antifungal Susceptibility Pattern among Women in Aden Governorate, Yemen
Authors: Gubran Ali N. M. , Al-Baghdadi Mohammed Ali Ahmed , Al-Haidary Naif Mohammed 
Published: September 2024

Abstract

Background
VVC is a complicated inflammatory infectious disease of the female genital tract caused by Candida genus. Most of studies in Yemen were not involved both risk factors and antifungal sensitivity patterns among VVC women. So this study was performed to evaluate risk factors contributed to the VVC and to evaluate the antifungals susceptibility patterns of Candida spp. among women in Aden, Yemen.
Methods
One hundred and two women were enrolled in this cross-sectional study; two high vaginal swabs were collected and tested microscopy and inoculated in SDA. Chromogenic medium was used to identified and differentiated the Candida species. Five available antifungal agents are used for sensitivity testing, include: ICZ, FCZ, KCZ, CLZ, NS, MCZ by Disc diffusion method. The data was finally analyzed by using SPSS® software (Version 21).
Results
A total of 102 women, the total mean ± SD age of women was 27.36 ± 7.7years, the min- max (16-47years). The overall frequency of VV among women was 39.2%. The highest rate was 22 (44.9%) in age group < 25. Five species of Candida were isolated where C. albicans was the most frequent in 55% of women, followed by C. krusei in 17.5%, C. glabrata in 12.5%, C. tropicalis in 10%. Significant association were found between the VVC and pregnancy and severity of symptoms (p = 0.066 and 0.0001), respectively. In the term of susceptibility testing for antifungal dugs, the overall resistance was 20% of CTZ, followed by 15%NS, 7.5% to KCZ and MCZ each and lowest rate of resistant was 2.5% for FCZ. All the five isolated species were 100% sensitive to ICZ.
Conclusion
It can be concluded from this study that the overall frequency of VVC among women in Aden-Yemen higher than that reported among Yemeni women while slightly lower than that reported globally. The infection was high among women in age group < 25.Among five isolated species C. albicans and C. krusei were the most frequent species. The pregnancy and severity of symptoms may increase the risk of VVC. Among five antifungal agents the resistant were found against CTZ, NS, KCZ, MCZ and FCZ while zero resistant to ICZ among those species. The resistant was increased among NAC.
Two-dimensional oxygen crystal with a honeycomb lattice on an ultraflat Cu(111)
Authors: Kim Jungdae , Jeong Se–Young , Regmi Binod , Kim Su Jae , Lam Nguyen Huu , Kyung Hee-Chang , Ko Hye-Won , Lee Yousil , Kim Young-Min , Lee Kyung-Jin , Kim Seong-Gon , Duvjir Ganbat 
Published: September 2024

Abstract

Two-dimensional (2D) materials have served as key platforms for exploring novel phenomena and innovative applications, driven by their reduced dimensionality. The existing library of 2D materials includes carbon-based and transition metal-based systems. However, oxygen-based 2D materials are missing. Oxygen, the most abundant element on Earth with a higher electronegativity than carbon, holds the potential to introduce unprecedented functionalities in 2D materials. Here we report the experimental realization of a 2D oxygen crystal with a highly ordered honeycomb structure, termed “oxylene”, formed on an ultraflat Cu(111) surface with exceptional resistance to oxidation. Scanning tunneling microscopy and density functional theory studies reveal that oxylene consists of oxygen atom clusters occupying both face-centered cubic (fcc) and hexagonal closed-packed (hcp) sites with a 4×4 periodicity on the Cu(111) surface. Furthermore, oxylene exhibits distinct magnetic ordering due to the magnetic octupole moments of oxygen atoms. Symmetry analysis suggests that oxylene exhibits linear responses that are observed in the noncollinear antiferromagnetic Weyl semimetal Mn3Sn. Our discovery of oxylene provides intriguing opportunities for exploiting its unique electric and magnetic properties, as well as harnessing oxygen’s high reactivity in 2D form.
Role of Generative Artificial Intelligence (Gen AI) in Academia: University Teachers’ Perspective within Pakistani Higher Education Context
Authors: Majeed Saima , Khan Afshi Yahya , Munir Maryam , Tariq Noor ul Saba , Rafiq Fatima , Khan Kianaat , Shan Rafi ul 
Published: September 2024

Abstract

Generative AI tools have sparked excitement and concern in academic and educational circles. Numerous studies have explored its potential impact on education. The present qualitative research is an intellectual effort to investigate and highlight the effects of GenAI, presenting possibilities, implications, and concerns associated with its integration into educational systems from Pakistani university teachers' perspectives. With Purposive sampling eight faculty members from public and private universities with at least three years of experience in higher education and have knowledge and practice of Gen AI tools were interviewed. A semi-structured interview guide was developed with previous literature available. Following all the ethical guidelines of data collection, thematic analysis was carried out, three superordinate themes were extracted including the Benefits and opportunities of using Gen AI, the Concerns and Limitations of Gen AI, and Balancing Technology and Creativity. Further eight subordinate themes were also generated depending on different codes and categories. Results indicated that incorporating Gen AI into academic settings can make teaching and learning more effective that allow students to enhance their learning and teachers can make their classroom more engaging and interactive. However, if not used responsibly and ethically, there can be many challenges that lead to hampering cognitive, creative and analytical abilities of students. To create a balance between human and artificial intelligence it is the responsibility of teachers and institutions to develop a thorough and well-versed policy for the use of Gen AI in academia.
Assessing Total Dissolved Oxygen and Electrical Conductivity Using Sentinel-2 Remote Sensing: A Multivariable Approach to Flood Detection in Flood-Prone Urban area Sylhet
Authors: Hridoy MD. Abdullah Al Mamun , Paul Puspendu Biswas 
Published: September 2024

Abstract

Though it has no tides and often floods only during the rainy season, Sylhet is a city that is prone to flooding. This river is contaminated by human meddling, inadequate drainage and drainage systems, discharges from local fish markets, and industrial and home trash. Water quality parameters (WQP) of 27 samples from three different water stations. The data collected at four-month intervals are seasonal changes in water quality during monsoons, winter and summer in 2023-2024. Oriented these results of this total dissolved oxygen (TDS) and electrical conductivity (EC). During monsoon, winter and summer season, the coefficients of determination of TDS and EC regression analysis (R2) were 0.7543, 0.7924 and 0.9081 respectively. The TDS and TSS (total soluble solids) parameters of the Sentinel-2 data are displayed with the remote sensing map of the affected areas of the city due to flooding 2022 Estimation of the experimental and predicted values of WQP in the water bodies inhibit l toxicological deep water from fishing areas. . Investigations revealed that the desired areas were toxic to the water and provided for the cultivation of fish in the cage system before use. Therefore, this research aims to establish conservation measures with a proper monitoring of water quality to maintain the health and livelihood that people depend on.
Sentiment Analysis of Solar Energy in U.S. Cities: A 10-Year Analysis Using Transformer-Based Deep Learning
Authors: Kim Serena , Soderman Crystal , Sang Lan 
Published: September 2024

Abstract

This study examines U.S. public sentiment toward solar energy from 2013 to 2022, analyzing 8 million social media posts using RoBERTa, a transformer-based deep learning algorithm. Sentiment has generally been positive but has declined since 2016 due to increasing negativity. Significant regional and state differences exist, with these disparities deepening over the decade, suggesting growing polarization in views toward solar energy. Negative sentiment is more pronounced in Republican-leaning and Southern U.S. regions. A two-way fixed-effects panel analysis at the municipality level shows positive sentiment in areas with high solar radiation and a large remote-working population, while negative sentiment is more common in regions with high wind speeds and significant multifamily housing. These findings underscore the complex interactions among environmental, socioeconomic, political, and technological factors, highlighting the need for tailored strategies to address regional and demographic disparities in solar energy sentiment. The computational approach developed and tested in this study, which leverages natural language processing and geospatial analysis of social media data, offers broader applicability and provides a scalable framework for analyzing sentiment across various regions and topics beyond the specific context of solar energy in the United States.
Design, Characterization and In-Vitro Evaluation of Bosutinib Loaded Solid Lipid Nanoparticles
Authors: Nagaiah Baddela , Nirmala S. 
Published: September 2024

Abstract

Solid lipid nanoparticles (SLNs) are sub-micron colloidal carriers having a size range of 50–1000 nm. These are prepared with physiological lipid and dispersed in water or aqueous surfactant solution. Bosutinib (BST) is a BCS Class II drug having very low solubility and high permeability. Low aqueous solubility and poor dissolution of BST leads to poor bioavailability, Thus, limited aqueous solubility is the bottleneck for the therapeutic outcome of BST. Animal data suggests that the absolute bioavailability of BST is about 14 to 34% due to an extensive first-pass effect. To overcome hepatic first-pass metabolism and to enhance oral bioavailability, lipid–based drug delivery systems like solid lipid nanoparticles can be used. These systems enhance the lymphatic transport of the lipophilic drugs and therefore increase the bioavailability. Bosutinib can be conveniently loaded into solid lipid nanoparticles to improve the oral bioavailability by exploiting the intestinal lymphatic transport. The objective of this present investigation is enhancing the solubility and bioavailability of the drug Bosutinib by incorporating with different lipids such as dynasan 114, 116 and 118 by exploiting the intestinal lymphatic transport. The Bosutinib loaded solid lipid nanoparticles (BST-SLN) were prepared by hot homogenization followed by ultra-sonication method. The prepared SLN’s were characterized for particle size, PDI, Zeta potential, EE, Total drug content and in vitro release study and its kinetic models.
Effect of breakthrough infection on the spread of COVID-19 evaluated by a flexible compartment model
Authors: Ohmori Hiroo 
Published: September 2024

Abstract

Vaccination causes not only a decrease in the number of susceptible individuals in the community but also an increase in the number of individuals who are resistant to COVID-19 infection, causing a marked decrease in the total number of infected individuals. Additionally, when vaccination is continued until the day when the sum of the number of recovered individuals and the number of vaccinated individuals exceeds an ‘expedient herd immunity threshold’, the total number of infected individuals is significantly reduced, with a considerably shortened duration of infection. However, vaccine-induced immunity in vaccinated individuals decreases gradually, and when it decreases to below a certain threshold several weeks after vaccination, vaccinated individuals realistically get back to susceptible individuals, and breakthrough infection can occur. The number of susceptible individuals is affected not only by the change in the number of infected individuals but also by the change in the number of vaccinated individuals and, additionally, by the change in the number of individuals who get back to susceptible individuals from vaccinated individuals. As a result, the process of the spread of COVID-19 is complicated. Using a flexible compartment model specific to COVID-19, changes in the number of individuals infected with breakthrough infection were calculated. The model includes the vaccination rate and duration of vaccine-induced immunity, which indicates the validity period of the effectiveness of vaccine-induced immunity, and the ‘back to rate’, which indicates the ratio of the number of individuals who get back to susceptible individuals from vaccinated individuals as independent variables in the calculation equations. Changes in the number of infected individuals were examined in relation to the duration of vaccine-induced immunity and to the duration of mass vaccination to avoid the occurrence of breakthrough infection. The results revealed that when mass vaccination was continued until the day, which was determined by the duration of vaccine-induced immunity, the vaccination rate and the start date of vaccination, breakthrough infection did not occur. However, when mass vaccination ended before that day, breakthrough infection occurred several weeks after the end of the mass vaccination program. The occurrence of breakthrough infection caused not only ‘breakthrough infections’, which indicate that infections occurred in susceptible individuals who had got back from recovered individuals but also ‘normal infections’, which indicate that infections occurred in the ‘original’ susceptible individuals, with a severe increase in the number of infected individuals together with a markedly long duration of infection. However, even if breakthrough infections occur, if the second mass vaccination is performed immediately after the occurrence of breakthrough infection, outbreaks of infections, including breakthrough infections and normal infections, will be controlled.
Effect of Internal Control and Earnings Management on Tax Accounting Aggressiveness
Authors: Nugrahini Erdini , Hariadi Bambang 
Published: September 2024

Tax aggressiveness is one of the measures taken by companies by which they aggressively reduce their tax payable by exploiting gray areas in tax regulations. This research attempts to identify the effects of internal control and earnings management on tax aggressiveness using multiple regression analyses performed in SPSS version 24. The research population is food-and-beverage manufacturing companies. The use of the purposive sampling technique and the research period of 2019-2021 resulted in 27 sample companies and 81 observation data. This study finds that internal control and earnings management do not significantly influence tax aggressiveness. The cause of this insignificance might be inefficient internal controls and manager-overriding practices. This study suggests future researchers examine other factors that strongly affect tax aggressiveness. Investors can use the findings of this research to help them determine companies that are suitable for their investing criteria. The government is advised to be more cautious with tax-aggressive actions that might be done by companies that are more difficult to detect.
Abstrak
Agresivitas pajak adalah suatu tindakan perusahaan yang secara agresif mengurangi pajak terutang dengan memanfaatkan area abu-abu peraturan pajak. Penelitian ini berupaya untuk mengetahui pengaruh pengendalian internal dan manajemen laba terhadap agresivitas pajak. Penelitian ini menggunakan metode analisis regresi berganda dan dianalisis dengan software SPSS versi 24. Adapun populasi penelitian ini adalah perusahaan manufaktur yang terdaftar pada subsector makanan dan minuman tahun 2019-2021 dan sampel diambil menggunakan teknik purposive sampling dengan total akhir sampel berjumlah 27 perusahaan dengan total observasi sejumlah 81 data. Penelitian ini menemukan bahwa pengendalian internal dan manajemen laba tidak berpengaruh secara signifikan terhadap agresifitas pajak. Penyebab dari ketidaksignifikan hipotesis mungkin disebabkan. oleh ketidak efisiensian pengendalian internal dan praktik manager overriding. Implikasi penelitian ini ditujukan kepada tiga peran. Bagi peneliti selanjutnya ialah dapat mengkaji faktor-faktor lain yang lebih mempengaruhi agresivitas pajak, Implikasi bagi investor sebagai referensi dalam menentukan perusahaan mana yang sesuai dengan kriteria mereka, dan bagi pemerintah ialah tetap mewaspadai agresivitas pajak perusahaan yang semakin sulit untuk dideteksi.