bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring optical and electrochemical studies on thulium selenite (TmSeO3)
Authors: Sundaram Ariponnammal Shanmuga , Nesam Gregory Basil Ralph , Sivakumar Shanmugha Soundare 
Published: March 2024

Abstract
Thulium selenite (TmSeO3) has been synthesized by precipitation method. It shows interesting smooth surface with nearly non-symmetric texture similar to water droplets spreading on hydrophobic surface. TmSeO3 is found to be monoclinic structure with lattice parameters a = 5.919±0.01 Å, b = 12.422±0.01 Å, c = 8.717±0.01 Å, α = γ = 90°, β = 106.01° and V = 616.1 Å3. Fourier transform infrared spectroscopy confirms the presence of Tm–Se bonding. X-ray photo emission spectrum confirmed the presence of thulium, selenium and oxygen in the samples in oxide form. Magnetic study between 300 and 20 K, shows decrease of magnetic moment with temperature, then reaches saturation and aligns all thulium spins. This results cooperative interaction of thulium spins. M–H curve at 300 K confirms the paramagnetic nature of sample. Cyclic voltammogram of three electrode system, manifests electric double layer capacitance with a potential window of 0.55 V. Specific capacitance is 102 F/g. Chronopotentiometry analysis shows 75 F/g specific capacitance, 11 Wh kg−1 energy density, and 275 W kg−1 power density. Impedance analysis confirms electric double layer capacitor behavior. Hence, TmSeO3 electrode based symmetric supercapacitor device was successfully fabricated and tested by two electrode configuration in aqueous electrolyte of KOH. A specific capacitance of 64.60 F/g at 1 A/g within a potential window of 1.85 V was achieved. Impedance analysis also confirms electric double layer capacitor nature with low series resistance of 0.2596 Ω and charge transfer resistance of 1.6352 Ω. The improved cycling performance after 4000 cycles is 51.5 % specific capacitance retention. Thus, symmetric supercapacitor electrodes based TmSeO3 materials are expected to have good electrochemical properties and good stability for energy storage and conversion applications. Furthur, optical parameters 5.28 eV energy gap, 0.4924 eV Urbach energy value and 1.959 refractive index are determined.
Influence of doping concentrations on the structural, optical, and magnetic properties of Ba-doped LaCoO3 nanostructure
Authors: Sahadevan Jhelai , Madavan Mugesh , Sankaran Esakki Muthu , Kim Ikhyun , Venkatesan Rajesh , Alharbi Naiyf S. , Khaled Jamal M. , Paramasivam Sivaprakash 
Published: March 2024

Abstract
In this article we report the structural, morphology, vibrational, optical and magnetic properties of Ba
x
La1−x
CoO3 (x = 0, 0.05, and 0.1) (LBCO) samples. The X-ray diffraction shows that samples are in single rhombohedral phase. The Raman signals of LCO were quite small in comparison to LBCO, which exhibited a Raman peak above 675 cm−1. The band seen with a wavenumber of 484 cm−1 corresponds to the vibrational modes of E
g bending and Ba–O stretching. UV–DRS and photoluminescence spectra indicated broad absorption over the ultraviolet, visible, and near-infrared spectrums. Surface morphology and EDAX spectra corroborated the materials homogeneous size distribution and homogenous microstructure, with Ba indicating a more stable structure. XPS was used to study chemical states of LBCO and found Co (2p), La (3d), O (1s), and C (1s) elements in perovskite compounds. A peak beneath 300 eV indicated adventitious carbon on surface materials. XPS survey spectrum elements La, Ba, Co, and O had their own binding energies. The magnetization-field dependency of LBCO at 300 K showed that Ba insertion into the LCO switched it from paramagnetic to weak ferromagnetic. Ba considerably decreased magnetic saturation and coercivity, influencing magneto-crystallites’ anisotropy and coercive field.
Biomarker Assessment of Nicotine Exposure Among Adolescent E-Cigarette Users: 2018–2019
Authors: Dai Hongying Daisy , Michaud Tzeyu , Guenzel Nicolas , Morgan Mathuri , Cohen Samuel M. 
Published: March 2024

BACKGROUND
Despite the increasing prevalence of vaping e-cigarettes among adolescents, there remains a lack of population-level assessments regarding the objective measurement of nicotine exposure.

METHODS
This study analyzed a nationally representative sample of adolescents aged 13 to 17 years from Wave 5 of the Population Assessment of Tobacco and Health Study conducted between 2018 and 2019. Urinary nicotine metabolites, including cotinine and trans-3′-hydroxycotinine (3-HC), were assessed among exclusive nonnicotine e-cigarette users (n = 56), exclusive nicotine e-cigarette users (n = 200), and nonusers (n = 1059). We further examined nicotine exposure by past 30-day vaping frequency (ie, occasional [1–5 days], intermittent [6–19 days], and frequent [20+ days]) and flavor types among nicotine e-cigarette users. Multivariable linear regressions tested pairwise group effects, and biomarkers were normalized by the log transformation.

RESULTS
Compared with nonusers, both nonnicotine and nicotine e-cigarette users exhibited higher levels of cotinine and 3-HC. Nicotine e-cigarette users had mean cotinine concentrations (61.3; 95% confidence interval, 23.8–158.0, ng/mg creatinine) approximately 146 times higher (P &lt; .0001) than nonusers (0.4; 0.3–0.5), whereas nonnicotine users (4.9; 1.0–23.2) exhibited cotinine concentrations ∼12 times higher (P = .02). Among nicotine e-cigarette users, the levels of cotinine and 3-HC increased by vaping frequency, with cotinine increasing from 10.1 (2.5–40.1) among occasional users to 73.6 (31.8–170.6) among intermittent users and 949.1 (482.5–1866.9) among frequent users. Nicotine exposure was not significantly different by flavor type.

CONCLUSIONS
E-cigarette use poses health-related risks resulting from nicotine exposure among adolescents. Comprehensive regulations of e-cigarette products and marketing, vaping prevention, cessation, and public policies are needed to prevent youth from developing nicotine addiction.
Disposable E-Cigarette Use and Subsequent Use Patterns in Adolescents and Young Adults
Authors: Han Dae-Hee , Harlow Alyssa F. , Feldstein Ewing Sarah W. , Audrain-McGovern Janet E. , Unger Jennifer B. , Sussman Steve Y. , McConnell Rob , Barrington-Trimis Jessica L. , Leventhal Adam M. 
Published: March 2024

BACKGROUND AND OBJECTIVES
Disposable electronic cigarettes (e-cigarettes) are widely used by adolescents and young adults (AYAs). Whether using disposable devices is associated with future e-cigarette use patterns is unknown but important for informing e-cigarette regulation.

METHODS
Prospective longitudinal study combining data from adolescent (14–17 years) and young adult (21–24 years) cohorts from Southern California surveyed at baseline and approximately 8-month follow-up during 2021 to 2022. The analyses included AYAs who used e-cigarettes in the past 30 days at baseline and had exposure and outcome data (N = 403; adolescent n = 124, young adult n = 279).

RESULTS
In the pooled sample of AYAs who used e-cigarettes at baseline (57.2% cis-gender female, 56.2% Hispanic), 278 (69.0%) reported past 30-day disposable e-cigarette use, and 125 (31.0%) used only nondisposable e-cigarettes. Baseline use of disposable (versus only nondisposable) devices was associated with higher odds of continued e-cigarette use (adjusted odds ratio = 1.92; 95% confidence interval = 1.09–3.42) and a greater number of times used e-cigarettes per day at follow-up (adjusted incidence rate ratio = 1.29; 95% confidence interval = 1.02–1.63). In supplemental analyses, disposable e-cigarette use was associated with greater odds of no changes (versus reductions) in e-cigarette use frequency and puffs per episode from baseline to follow-up but was not associated with increases in use frequency and intensity. No differences in e-cigarette use outcomes were found between those with poly-device (disposable and nondisposable) versus only disposable device use.

CONCLUSIONS
Use of disposable e-cigarette devices among AYAs may be associated with higher risks for persistent e-cigarette use patterns, which should be considered in tobacco product regulation designed to protect AYAs.
Possibilities of Predicting Peak Oxygen Consumption in Patients With Chronic Heart Failure According to the 6‑Minute Walk Test
Authors: Begrambekova Yu. L. , Fedotov D. A. , Karanadze N. A. , Lelyavina T. A. , Bortsova M. A. , Orlova Ya. A. 
Published: March 2024

Aim. To determine the correlation between the results of the 6-minute walk test (6MWT) and peak oxygen consumption (VO2peak) for populations of patients with chronic heart failure with pronounced clinical and demographic differences; to study a possibility of indirect measurement of VO2peak based on the results of 6MWT using the formulas available from the literature.Material and methods. Two databases were analyzed: 50 patients included in the AEROFIT study (group A), and 31 patients from the Almazov National Medical Research Center (group B). The inclusion criteria were the availability of data from the cardiopulmonary stress test and the 6MWT. The possibility of predicting VO2peak was calculated based on the results of 6MWT using the formulas reported in the literature (L. P. Cahalin et al., 1996; R. M. Ross et al., 2010; R. A. Adedoyin et al., 2010). The predictive accuracy of the models was assessed using the coefficient of determination (R2). The relationship between functional and clinical-demographic indicators was assessed using the Pearson or Spearman correlation analysis.Results. The study groups differed significantly in all parameters, except for the proportion of men and the mean VO2peak. Group B patients were 20 years younger than group A patients, had a lower left ventricular ejection fraction (24.06±7.75 and 41.52±10.48 %, respectively; p<0.001), and covered a 130 m shorter distance in the 6MWT. Despite the absence of a significant difference in VO2peak between groups A and B (13.6 and 13.1 ml / kg / min, respectively; p=0.6581), 61 % of group B patients and 20% of group A belonged to Weber functional class IV. In group A, the 6MWT distance correlated closely with VO2peak (R=0.78; p<0.01) and weakly with age (R=0.4) and body mass index (R=0.3). In group B, the 6MWT distance correlated only with VO2peak (R=0.77; p<0.01). For group A, the R.M. Ross et al. model demonstrated high accuracy in determining the mean VO2peak value with a 0.06% prediction error normalized to measured VO2peak. For group B, none of the models showed satisfactory predictive accuracy. The Ross and Cahalin models showed the best coefficients of determination for groups A and B: Group A, Ross et al. (R2=0.58) and Cahalin et al. (R2=0.59); Group B, Ross et al. (R2=0.59) and Cahalin et al. (R2=0.6).Conclusion. In two groups of patients with a statistically insignificant difference in the mean values of VO2peak, the mean values of 6MWT distance were significantly different, although these indicators correlated closely. The VO2peak prediction models showed satisfactory accuracy for estimation of mean VO2, but poor accuracy for estimation of individual values. A better predictive accuracy is determined by similar clinical and demographic characteristics between the training and testing populations, and likely also by models based on larger, more diversified populations.
Rolling bearing fault detection of rotary machine using a novel adaptive sparse representation
Authors: Yuanhang Sun 
Published: March 2024

Abstract
Vibration signals of rolling bearings are often flooded by the noise and interference in early stages of failure. But extracting fault features from noisy signals effectively is a huge challenge. Sparse representation (SR)-based approaches have been used broadly to fault detection due to its stable performance and good anti-noise property. Nevertheless, its performance is very much dictated by the sparse regularization term and regularization parameter-setup. To overcome the existing drawback, an adaptive k-sparsity-based weighted generalized minimax concave (Ada-KWGMC) SR algorithm is proposed in this paper. Specifically, a weighted generalized minimax concave (WGMC) penalty is developed firstly for inducing the sparsity and anti-noise performance in Ada-KWGMC. Then an adaptive parameter setup approach has been put forward to make the regularization parameter free, thereby promoting the applicability of Ada-KWGMC. In this parameter setup method, the k-sparsity and the solution algorithm are integrated to set the regularization parameter adaptively without losing fault information. The diagnostic results of simulated signal and real fault signal shows that Ada-KWGMC has good performance in the fault detection.
Mental Health Professionals' Perspectives on Group Intervention for Women Survivors Intimate Partner Violence: A Qualitative study
Authors: Periyasamy Chinnadurai , Ezhumalai Sinu 
Published: March 2024

Abstract

Background: To examine the perspectives of mental health professionals on providing group intervention for female spouses of men with alcohol dependence who experienced intimate partner violence.
Method: Aqualitative research design was used, and purposive sample technique was used to select the participants. Nine experts with more thanfive years of experience in handling partner violence cases providedinsights through in-depth interviews. The sample size was nine; data was saturated with nine experts. The researcher prepared a semistructured interview guide and mental health experts validated it. The transcripts were carefully examined several times, coded and re-codeded . The codes were subsequently organized into thematic categories.
Results: More than half (66.7%) of the experts were aged35-45 years. Most of the experts (77.8%) were females. More than half (55.6%) of the experts had more than five years of experience in mental health and intimate partner violence. Most of the experts (66.7%) were working in teaching institutions related to mental health and intimate partner violence. The remaining one-third (33.3%) of the experts were legal and women empowerment practitioners. The thematic analysis generated six main themes and 19 subthemes, with 189 codes.
Conclusion: Experts emphasized the importance of a holistic approach to IPV intervention. Group interventionaddresses multiple issues that contribute to violence. Survivors need safe housing, counseling, legal help, and financial assistance.
Detoxification of BTEX in a saline environment by Aspergillus niger
Authors: Rodrigues Kelly , Salgado Ricardo , Galhanas Dina , Bermudez Victoria Maura S. , Silva Glória Maria Marinho , Mata Ana T. A. 
Published: March 2024

Abstract
BTEX can be found in marine and estuarine waters due to accidental spills of oil and derivatives, as well as in production water and effluents from petrochemical plants. Solutions involving the bioremediation of these compounds in both saline environments and effluents with high salinity are necessary. The halotolerance of Aspergillus niger was tested by subjecting it to a gradual increase in salinity through the sequential addition of NaCl from 2 to 30‰ (v/v). It supported its growth up to 25‰, with a biomass production rate of 0.93 ± 0.11 g/d. The adapted biomass was used in batch reactor assays to test the biodegradation of BTEX (1,500 mg/L). The fungi removed BTEX more rapidly in the presence of 2 g/L of sucrose: benzene (2.20 d-1) > toluene (1.83 d-1) > ethylbenzene (1.12 d-1) > xylene (0.91 d-1). However, even in the absence of sucrose, there was removal in the reactors with fungi: benzene (1.13 d-1) > toluene (0.97 d-1) > ethylbenzene (0.77 d-1) > xylene (0.68 d-1), with higher removal through microbial action (absorption and adsorption). Benzene was the only compound found adsorbed to the mycelium (1.50 ± 0.19 to 13.35 ± 4.72 mg/g of biomass).
Development of a nomogram model for predicting the risk of insomnia in nurses who underwent the Long- COVID
Authors: Ye Lingxiao , Zhang Feng , Wang Lili , Chen Yufei , Shi Jiaran , Cai Tingting 
Published: March 2024

Abstract

Purpose
To investigate the prevalence of insomnia among nurses diagnosed with Long-COVID, analyze the potential risk factors, and establish a nomogram prediction model.
Methods
General demographic information was obtained, and assessments of sleep quality, burnout, and stress were performed in a single center in May 2023. Three hundred and ninety-eight nurses were recruited. The Lasso regression technique was employed to screen for potential factors contributing to insomnia. A prognostic nomogram was constructed and evaluated by receiver operating characteristic curves and calibration curves.
Results
Fifty-four percent of nurses complained of insomnia in this study. Eleven variables were independently associated with sleep patterns, including family, years of work, relaxion time, sequela of respiratory system, sequela of nervous system, others sequela, attitudes towards COVID-19, sleep duration, previous sleep problems, stress, and job burnout. The R-squared value was 0.4642 and the area under curve was 0.8661. The derived nomogram showed that neurological sequela, stress, job burnout, sleep time before infection, and previous sleep problems also made the most substantial contributions to predicting sleep patterns. The calibration curves for predicting insomnia showed significant agreement between the nomogram models and actual observations.
Conclusion
The present study established a nomogram prediction model of insomnia for nurses diagnosed with Long-COVID, which is helpful for the early clinical identification of high-risk individuals with insomnia.
Prebiotic Asymmetric Synthesis of Ribose by CO2 Reduction in Hydrodynamic Cavitation with Vortex
Authors: Fang Yuxi , Ding Wei , Ying Diwen , Zhang Wendi , Jia Jinping 
Published: March 2024

Abstract
Prebiotic synthesis is a critical aspect in the origin of life. Especially, D-ribose plays a fundamental role in the RNA world theory as the exclusive sugar for RNA1-3. CO2 is known to be predominant in the primitive atmosphere4-6. However, prebiotic synthesis of ribose from CO2 has never been reported, leaving origin of D-ribose as an unsolved conundrum. Herein, we propose the enantiomeric formation of D-ribose by hydrodynamic cavitation with vortex in the prebiotic world, which was supported by the formation of enantiomeric ribose under the simulated prebiotic condition in the opposite vortices of a Venturi reactor equipped with antipodal oblique blades. Various sugars with total concentration of ~2.46 μM were achieved in the presence of Ca2+, in which ribose is the main component, with an enantiomeric excess (ee) in the range of 30.2-40.2%. Formaldehyde and CH2OH· were formed from CO2 by high temperature and high pressure in hydrodynamic cavitation. Ribose was predicted to be formed by the reaction involving addition of CH2OH· starting from formaldehyde in the presence of Ca2+. Vortex is speculated to be initiating symmetry breaking of ribose due to different yield of each enantiomer, induced by geometric coefficient interaction between the chiral intermediate and vortex. Our findings provide a prevalent possibility for the formation of ribose by cavitation in the prebiotic ocean, which implies hydrodynamic cavitation would be one of the important driving forces for origin of life. Furthermore, possibility of symmetry breaking of ribose by vortex on the primitive earth was proposed as well.
Geospatial Analysis of Flood Susceptible Areas in Damaturu Central, Yobe State, Nigeria.
Authors: Usman 'Shitu Shehu , Ngurnoma Nuhu Yerima 
Published: March 2024

Abstract
This study focuses on flood susceptibility mapping in Damaturu, Yobe State, Nigeria, leveraging Geographic Information Systems (GIS) and remote sensing techniques. Damaturu is prone to recurring flood events, necessitating effective flood mitigation and risk assessment strategies. Through the integration of GIS and remote sensing data, this research develops a robust flood susceptibility model. The study incorporates various data sources, including digital elevation models, hydrological data, and land-use maps, to create a comprehensive spatial database. Remote sensing data obtained from satellite and aerial platforms facilitate land cover change detection, flood extent identification, and flood-related damage assessment. The flood susceptibility mapping process employs GIS-based techniques, such as Analytical Hierarchy Process (AHP) and Weight of Evidence (WoE), to analyze and integrate the datasets, ultimately generating flood susceptibility maps for the area. These maps offer essential insights into flood-prone regions, aiding in flood risk assessment, disaster preparedness, and the development of targeted flood management strategies. The research outcomes are invaluable for policymakers, urban planners, and emergency response teams, enabling informed decision-making and proactive flood mitigation measures. The integration of GIS and remote sensing technologies ensures a comprehensive and adaptable approach to combat the challenges posed by floods in Damaturu, enhancing the resilience of local communities to future flood events.
Enhanced Human-Object Interaction Detection via Maximum IoU Partitioning and Chunk Block Attention
Authors: Lee Hyunmin , Kang Donggoo , Park Hasil , Kim Yeongjoon , Kwon Sunkyu , Paik Joonki 
Published: March 2024

Abstract

Accurate understanding of spatial relationships between humans and objects is a key for recognizing the Human-Object Interaction (HOI).Due to its inherent simplicity and interpretability, Intersection over Union (IoU) has established itself as the predominant metric for expressing spatial relationships.This paper presents a simple yet effective attention mechanism that leverages the IoU metric.Specifically, we introduce a Chunk Block Attention (CBA) module that computes spatial-aware attention weights of image slices extracted through the IoU-guided Human-Object association method.The CBA uniquely integrates self-attention and cross-attention to capture internal and external relationships within slices.Through extensive experiments on various HOI models, we validate the effectiveness of the proposed method.Experimental results show consistent improvements in qualitative measure and impressive interpretability by visualizing the learned attention weights.Furthermore, we provide detailed analysis and visualizations of the attention weights learned by the CBA module.This reveals insights into how the model focuses on relevant spatial and semantic relationships for recognizing complex human-object interactions.
Performance Evaluation of Secured Storage Access Control System for Public Health Records in Cloud Computing
Authors: Malathi P , Devi S Suganthi , J Jospin Jeya 
Published: March 2024

Abstract

Cloud computing activities have grown exponentially today. Cloud computing is typically a service that is provided for computing as a service. It shares network or internet services, applications and info. Accordingly, resources and individuals are communicated via the Internet to the whole world regardless of where they are. This benefit from Cloud Computing has brought many sectors to satisfy the most critical consumer targets, including the healthcare industry and the financial sector. The proposed innovative mechanism for the closed sharing of private health data using attribute-based encryption in cloud computing. In view of partially truthful cloud storage, it can be contended that sufferers must have absolute control of their own privacy by encrypting their Public Health Record (PHR) files to allow fine-grained access to completely understand the patient-centric definition. The system tackles the specific difficulties of using a couple of owners and users of PHR, in that proposed work greatly minimize the difficulty of main administration while improving the assurances of privacy relative to previous works. As the results, the proposed applied the Attribute Encryption Scheme (ABE) to encrypt the PHR data, so that patients can allow access to not only private customers, but also quite a variety of public domain clients with exclusive technical positions, credentials, and affiliations to gain the right of entry.