bluuebunny/crossref_metadata_2025_split huggingface dataset:
The baffle shape effects on natural convection heat transfer in nanofluid-filled permeable container with magnetic field
Authors: Abderrahmane Aissa , Younis Obai , Mourad Abed , Laidoudi Houssem , Oreijah Mowffaq , Guedri Kamel 
Published: July 2023

Abstract
Enhancing heat transfer rates within enclosures is a topic of considerable interest since it has several technical applications. Most heat transfer research projects focus on increasing the heat transfer rates of thermal systems since this will raise the systems' total efficiency. The geometry of the enclosure might have a substantial impact on heat transfer rates. This research studies quantitatively the natural convection of a nanofluid in a complicated form geometry with many baffle configurations. The system's governing equations were addressed by Galerkin Finite Element Method (GFEM). The main consideration was given to the effects of the following factors: The Darcy number (Da), which ranges from 10− 2 to 10− 5; the Hartmann number (Ha), which ranges from 0 to 100; the volumetric fraction (ϕ), which ranges from 0 to 0.08, and the Rayleigh number (Ra) (102 to 106). The results suggested that raising Ra increases heat transfer discharge, whereas raising Ha and Da decreases it. In terms of heat transmission, case 1 (the case with a wavenumber of 1 and the zigzag pointing outward) is determined to be the optimum cavity structure, as it obtained the highest mean Nusselt (Nuavg) number when compared to other cases. At the highest studied Ra number, growing (ϕ) from 0 to 0.8 improved Nuavg by 25%, while growing Da from 10− 2 to 10− 5 and Ha from 0 to 100 declined Nuavg by 57% and 48%, respectively. The reason for the improvement in the values of the (Nu) is due to the speed of fluid movement within the compartment.
Extraordinary Capacitance Based on Vacancy Defective Porous Carbon in Ionic Liquid
Authors: Liu Yong , Feng Shi Hao 
Published: July 2023

Abstract
Porous carbons have been extensively studied in electrochemical capacitors (ECs). However, low capacitance remains a limitation due to the electrical double layer (EDL) storage mechanism when porous carbons are used in ionic liquids (ILs) based ECs. Herein, we found the nitrogen-derived vacancy defects in porous carbon nanospheres can boost pseudo capacitance and present extraordinary reversible high capacitance of 427 F g-1 in pure IL electrolyte, equal to a normalized area capacitance (CA) of 16 μF cm-2, surpassing the theoretical EDL CA (~11 μF cm-2). When used as capacitive cathode, the assembled Lithium hybrid capacitor express high energy density of 635 Wh kg-1 based on active material under much high-power density of 14.5 kW kg-1. A combination of control experiments and density functional theory investigation indicate that the EC’s performance improvement mostly stems from strong interactions at vacancy defects, triggering extraordinary pseudo capacitance. Our results shed light on defect engineering for realizing extra faradaic capacitance of carbon materials, and open up new opportunities for improving EC’s energy density.
Nearly half of the mothers had poor practice on the four Essential Newborn Care components of WHO: A community-based study
Authors: Esey Habtamu Tadele , Shiferaw Birhanu Melaku , Asress Fetlework Workineh , Workie Hailemariam Mekonnen 
Published: July 2023

Abstract
Background
More than 43% of deaths among under five-year children are contributed by neonates. Recommendations about newborn care practices may conflict with local beliefs and practices. So, it is important to understand the existing newborn care practice and the factors affecting it to take interventions to decrease neonatal death. Therefore, this study assessed the essential newborn care (ENBC) practices and associated factors among women who have lived birth in the last year.
Methods
Community-based cross-sectional study was conducted from April 1 to May 1, 2021, in Libo Kemekem District. A total of 601 women were included in the study. Data was collected using face to face interviewer-administered questionnaire. The questionnaire was checked for completeness, cleaned manually, entered into epi data v3.1, and then transferred into SPSS v26.0 for further analysis. Descriptive statistical analysis was used to compute the frequency, percentages, SD, and mean of the findings. Bi-variable and multivariable analyses were used to see the association between dependent and independent variables for ENBC practice. P-values less than 0.05 were considered statistically significant in the multivariable regression. Finally, results were presented in the form of texts, tables, and graphs. Multicollinearity and Hosmer and Lemshow goodness of fit test was done for multivariate logistic regression analysis.
Result
The study revealed that the level of comprehensive essential newborn care practice was 54.2% (95% CI, 50%-58%). In the multivariable binary logistic regression analysis, primary education [ AOR = 0.34, 95% CI (0.23, 0.78)], secondary education [ AOR = 0.51, 95% CI (0.34, 0.89), mass media exposure [ AOR = 2.03, 95% CI (1.35, 3.07)], ANC visits [AOR = 0.403, 95% CI (0.237, 0.686)], knowledge about ENBC [ AOR = 3.93, 95% CI (2.09, 7.37)], and knowledge about newborn danger signs [ AOR = 0.31, 95% CI (0.12, 0.74)] were found to be significantly associated with essential newborn care practices.
Conclusion
In this study, the overall level of comprehensive essential newborn care practices is low. And different factors were important for it as shown in the result part. Therefore, it's important to increase ANC service utilization, promote ENBC practice and create awareness of neonatal danger signs among all mothers.
Improvements of right ventricular function after intervention with CPAP in patients with obstructive sleep apnoea
Authors: Murphy Greg , King Gerard , Coss Peter , Coyle Mark , McLaughlin Anne-marie , Murphy Ross 
Published: July 2023

Abstract
Background
Obstructive sleep apnoea (OSA) is present in 40-80% of patients with cardiovascular morbidity and is associated with adverse effects on cardiovascular health. Continuous positive airway pressure (CPAP) maintains airway patency during sleep and is hypothesised to improve cardiac function. In the present study, we report on the impact of 12 weeks of CPAP and improvements in echocardiographic parameters of the right ventricle (RV).
Methods
Nineteen newly diagnosed patients with OSA and a respiratory disturbance index (RDI) greater than 10 were enrolled. Echocardiography was performed before treatment and with a follow-up assessment after 12 weeks of CPAP. Echocardiographic and Doppler measurements were made following the American Society for Echocardiography guidelines. The primary outcome was isovolumetric acceleration (IVA). Secondary outcomes include tricuspid annular plane systolic excursion (TAPSE), fractional area change (FAC), RV % strain, TEI index and RV dimension index (RVDI).
Results
There significant improvement in isovolumetric acceleration of 0.5ms2 (P=0.0012 (95% CI -0.72, -0.20)) and significant improvement of 2.05mm in TAPSE (p=0.0379 (95% CI -3.98 - -0.13). There was a trend to improvements in FAC, RV % strain, TEI index or RVDI with twelve weeks of CPAP therapy.
Conclusion.
The present study highlights significant increase in TAPSE and IVA with 12 weeks of CPAP treatment and a trend to improvement in FAC, RVDI and RV % strain. These data indicate favourable characteristics on both load dependent and load independent markers of RV function with CPAP.
Computer simulation of nonlinear pulse propagation in multimode optical fibre
Authors: Li Yexing , Zhao Yuqi , Li Jiapei 
Published: July 2023

AbstractObjectives: The purpose of this study is to establish a computer model of multimode nonlinear pulse propagation and study the nonlinear effect of multimode fiber. Methods: We used a hybrid approach including a comparative method based on literature cases and quantitative analysis. MATLAB was chosen as the computer software when we wrote the code. Results: By adding plmn four kinds of Gaussian waveform light sources and changing different amplitudes. The mathematical model established by us is substituted for calculation and statistics, and the curve characteristics in time domain and frequency domain of multimode fiber nonlinear propagation are obtained. Conclusion: This study establish a computer model of multimode nonlinear pulse propagation and further confirms that multimode fiber can adapt to more light sources to transmit higher power.
Early Adversity and Sexual Diversity: the Importance of Self-reported and Neurobiologicalsexual Reward Sensitivity
Authors: Alley Jenna , Mcdonnell Amy , Diamond Lisa 
Published: July 2023

Abstract
Sexually-diverse individuals show disproportionate rates of early life adversity and disproportionate rates of some of the psychosocial outcomes traditionally associated with adversity, such as sexual risk taking. The present work examines whether these patterns can be attributed to heightened sexual reward sensitivity among adversity-exposed women. We useda combination of self-report and EEG measures to assess sexual reward sensitivity among women with a wide range of early adversity experiences and a wide range of sexual attractions and identities. We found that various forms of early adversity predicted both self-report sexual reward sensitivity (i.e., women’s self-reported preferences for pursuing sexual rewards despite the associated risks) and neurobiological sexual reward sensitivity (i.e., neural response to sexual stimuli). Furthermore, both self-report and neurobiological sexual reward sensitivity predicted some forms of sexual risk taking, including other gender (physical and health risks) same gender sexual behavior (social risks). The current work makes substantial contributions to our understanding of the sexual-developmental repercussions of early adversity, and underscores the importance of including greater attention to the dynamics of pleasure and reward.
Vertical Non-Aqueous Phase Liquid distribution by Rn prospecting for 3D plume modelling in polluted sites
Authors: Briganti Alessandra , Voltaggio Mario , Rainaldi Elisa , Carusi Claudio 
Published: July 2023

Abstract
In the frame of a collaboration, between CNR-IGAG and Mares s.r.l., on the triennial project “CANDAC-Mares 2020” about the study of Non-Aqueous Phase Liquid (NAPL) contaminated sites, the Laboratory of Environmental Radioactivity, IGAG-CNR Montelibretti organized a study on the possibility to determine on-site radon vertical distribution as NAPL contamination tracer at different soil depths. Rn deficit technique, based on preferential solubility of natural radiogenic soil gas Rn into non-polar fluids, such as refine hydrocarbons, has been studied in various theoretical and applied researches so far. According to international scientific literature, Rn deficit can be used both in geochemical prospection of the areal irregular pollutant distribution and in monitoring of remediation activities successfully. Unfortunately the vertical location of the plume still represents a scientific challenge even though is well known this type of pollutant can be distributed along the vertical soil profile due to its density in comparison to water density, fluctuations of shallow aquifers, soil pore size distribution, aging of contamination and so on. In this article, a method to determine Rn vertical profile is tested and applied to assess Rn deficit technique applicability in vertical detection of pollutant presence for the first time in a fuel station. Two NAPL contaminated sites are selected for a pilot test. Results obtained seem to support the use of vertical Rn geochemical prospection for a 3D complete reconstruction of contaminant dispersion in different soil levels in order to monitoring plume changes during time due to natural attenuation and/or remediation activities.
Teachers and educators’ experiences and perceptions of Artificial -powered interventions for Autism groups
Authors: Alibakhshi Goudarz , Labbafi Akram , Polouei Hoora 
Published: July 2023

Abstract
Background
Artificial intelligence-powered interventions have emerged as promising tools to support autistic individuals. However, little research has examined how teachers and educators perceive and experience these AI systems when implemented in practice.
Objectives
This study aimed to explore teachers' and educators' perceptions of and experiences with AI-powered interventions for autism, including perceived benefits, challenges, and recommendations.
Methodology
A qualitative phenomenological approach was used. Twenty educators who had experience implementing AI interventions for autism were recruited through purposive sampling. Semi-structured interviews were conducted, transcribed verbatim and analyzed using thematic analysis.
Findings:
Analysis identified four major themes: perceived benefits of AI interventions, implementation challenges, needed supports, and recommendations for improvement. Benefits included increased engagement and personalized learning. Challenges included technology issues, training needs, and data privacy concerns.
Conclusions
AI-powered interventions show potential to improve autism support, but there are still significant challenges that must be addressed to ensure effective implementation from an educator's perspective. The benefits of personalized learning and student engagement demonstrate the potential value of these technologies. However, without adequate training, technical support, and measures to ensure data privacy, many educators will likely find it difficult to integrate AI systems into their daily practices.
Implications
To realize the full benefits of AI for autism, developers must work closely with educators to understand their needs, optimize implementation, and build trust through transparent privacy policies and procedures. With proper supports in place, AI interventions have the power to transform how autistic individuals are educated by tailoring instruction to each student's unique profile and needs.
Standing wave pattern suppression in the terahertz frequency domain spectroscopy by means of windowed Fourier filtering
Authors: Shuba Mikhail V. , Seliuta Dalius , Abramova Viktoriia 
Published: July 2023

Abstract
Terahertz frequency domain spectroscopy provides a superior resolution in the broad range from 50 GHz to 5 THz. However, temporal frequency drift and the standing wave pattern in the spectrometer, which often act simultaneously, produce intensive coherent noise in the transmittance spectra of the measured samples. The paper presents a spectrum processing method allowing to reduce the coherent noise and thus significantly enhance the accuracy of spectral data analysis. The idea of the method is to remove the small-period (0.25 GHz) oscillations in the standing wave pattern of the measured signal by applying the windowed Fourier filtering. The large-period (4 GHz) oscillations in the measured spectra are broadened and then used to compensate the frequency drift of the two consecutive measurements of the signal with the sample and without it. The proposed approach is tested on the measured spectra of metamaterial and silicon wafer. Its advantage over the classical method based on the averaging of adjacent data points is confirmed. Our work benefits to optimization of the frequency-domain terahertz systems and paves the way for fast and accurate analysis of spectral data.
Visualization of Vector Tiles on CesiumJS Virtual Globe
Authors: Kang Kuk , Woo Kyongil , Yun Cholnam , Kim Wonsok 
Published: July 2023

Abstract
Essentially, CesiumJS-which can be accessed through the link, http://cesiumjs.org, is an open-source JavaScript library for creating 3D earths and maps with the best performance, visual quality, precision, and ease of use. It is a wonderful tool for 3D-themed visualizations of earth. CesiumJS has a number of data sources, but none of them supports vector tile format. This article explains how to visualize Mapbox vector tiles in a CesiumJS virtual globe environment. CartoDB/BigQuery hosts vector tiles, and a process for producing vector tiles from massive vector data using the BigQuery tiler of CartoDB has been provided.
Information Governance — a Missing Dimension in the Varieties of Capitalism Framework
Authors: Krause Theresa , Chen Mo , Fischer Doris 
Published: July 2023

Abstract
Since the introduction of the Varieties of Capitalism (VoC) framework in 2001, the global economy has undergone fundamental changes due to the emergence of new capitalist economies as well as businesses’ increasing reliance on information and digitalization. This paper proposes adapting the VoC framework to these changes by adding information governance as a new dimension in the evaluation of political economies. It outlines this new dimension’s features and illustrates its manifestation using China as an exemplary case. Finally, a research agenda to substantiate these findings is outlined.
Car To Car Communication Using RF Cognitive Radio with VLC Common Control Channel
Authors: Okasha Nermeen , Zekry Abdel-Halem , Newagy Fatma 
Published: July 2023

Abstract

This paper combines the advantages of both cognitive radio (CR) communication and visible light communication (VLC) for car-to-car applications to achieve a higher data rate, low delay, minimum outage probability, minimum cost, and minimum bit error rate (BER). CR technology hops among the existing radio frequency (RF) available channels to increase the RF spectrum usage efficiency and dodge the scarcity limitation. Moreover, using CR as a license-free application will reduce car-to-car communication costs. However, CRs require a common control channel (CCC) to communicate the spectrum availability map within the CR network and to inform the receiver end about the change in the transmitter-end channel. Therefore, the CCC is the bottleneck in the car-to-car CR network. Therefore, we explore the types of CCCs and use each of them to solve this bottleneck issue. In the proposed scheme, we assume alternative CCCs such as licensed overlay, unlicensed CR overlay in the ISM band, underlay CR, and using VLC. A MATLAB simulation for a car-to-car framework is built to demonstrate and compare these types of CCC through the chosen metrics. Our metrics include data rate, delay, outage probability, cost, and bit error rate. The comparison analyses shall include comparing VLC versus the other CCC types. We compare practical systems, not the theoretically achievable system therefore the results might prefer a CCC type according to one metric and prefer another type of CCC due to the second metric. Our results show that VLC can achieve up to 90% of the licensed data rate with a small outage probability of 21.2% while maintaining moderate BER and delay. In addition, VLC presents the minimum cost, and as the introduced combined metric it placed second after the licensed type with a score of 84.2%. In conclusion, with the VLC’s bright future of expansion and growing the car-to-car application, we have proven VLC is worthy of implementation practically in modern cars.
Identification and pathogenicity of species isolated from stored potato tubers showing symptoms of dry rot disease
Authors: Kim NamSook , Hong SaeJin , Won HeonSeop , Kim ByungSup , Gwon SeHwi 
Published: July 2023

Abstract
Arises during the storage of potatoes as a result of the pathogens introduced during their growing and harvest. In this study, the causative bacteria of domestic potato dry rot disease were identified and their pathogenicity was confirmed. A total of 76 species were isolated from 93 potato necropods collected from samples inoculate with dry rot disease (Table 1). These 76 isolates were identified as Fusarium boothii, F. circinatum, F. citricola, F. foetens, F. iranicum, F. longifundum, F. oxysporum, F. pseudoanthophilum F. solani, Botryotinia ranunculi, Clonostachys rosea, and Humicola nigrescens. The average size of the inoculation site was ≥ 4.6 mm in F. oxysporum and F. solani, which were pathogenic to dry rot in potatoes but not as other strains for up to five weeks. The pathogenicity of F. foetens and F. pseudoanthophilum was related to high a molecular statistical flexibility by forming a single system with F. oxysporum. However, except for F. oxysporum and F. solani, these strains have not yet been reported to be associated with dry rot disease. Additionally, the length of the cross-section and longitudinal section of the potato sclera inoculated with C. rosea increased the most among all strains. This suggests that C. rosea is the dominant species involved in domestic potato dry rot disease. By contrast, there are no reports of the involvement of B. ranunculi and H. nigrescens in dry rot disease. Therefore, these strains can be seen as parasitic using potato sclerosis as nutrients in in vivo experiments through wounds and are not directly related to dry rot disease.
Comparative study of four different C 18 HPLC columns with different particle sizes and lengths for the optimization of UV absorbing engine coolant additives analysis
Authors: Singh Ravindra , Karan Chandan Kumar , Singh Dheer , Christopher J. 
Published: July 2023

Abstract
The performance of four different C18 chromatography analytical columns with different lengths and particle sizes were compared for analysis of engine coolant additives such as benzotriazole (BTz), tolyltriazole (TTz), sodium benzoate and cinnamic acid using high performance liquid chromatography (HPLC) with UV-visible detector. Chromatographic parameters including retention time, resolution, limit of detection (LOD), limit of quantification (LOQ), number of theoretical plates and reduced plate height were evaluated and compared. In this work, the performance of 5µm particles of Kinetex and Acclaim C18 chromatography columns has been compared with new positive surface (PS) and polar C18 columns having 3µm particles for the analysis of above additives. The results show that in comparison with the traditional columns having dimensions 250 mm×4.6 mm; 5µm, shorter columns namely polar C18 and positive surface (PS C18) having dimensions 150 mm×4.6 mm; 3 µm allowed the reduction of the analysis time by 44.8% and 45.8% respectively without compromising on column performance. This leads to the reduction of analysis expenses by reducing the organic solvents and time, and increasing the total number of analyses per day. Among two smaller columns, the resolution of positive surface C18 is found to be better as compared to polar C18 column though the analysis times remains almost same. The mobile phase CH3OH (70%): 0.5%H3PO4 in water (30%) was used at a flow rate of 0.8 mL/min and the injection volume in all the case was 20.0 µl. The capabilities of these columns for analyzing engine coolant samples in glycol based aqueous media were evaluated.