bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship between urinary sodium excretion and bone mineral density in pediatrics: population-based study from KNHANES V 2010–2011
Authors: Lee In Kyung , Kim Yoo Mi , Lim Han Hyuk 
Published: May 2024

Abstract

Objectives
Osteoporosis poses a growing public health challenge worldwide. While calcium and vitamin D may influence bone mineral density (BMD), the effect of sodium (Na) intake, particularly in pediatrics, remains unexplored. This study aimed to evaluate the relationship between urinary Na excretion and BMD in a Korean pediatric population.

Methods
A total of 2,018 participants (1,084 males and 934 females) aged 10–18 years were included from the data obtained from Korea National Health and Nutrition Examination Survey V (2010–2011).

Results
Daily Na intake was about 4,560 mg and 3,600 mg in boys and girls, respectively. The mean intake of Na per day was positively correlated with the increment of urine Na/Cr ratio quartile (p<0.001). The BMD z-score [lumbar spine (LS), femur neck (FN), and whole body except head (WB)] in the group with high Na/Cr ratio (4th quartile, 4Q) was significantly less than in those with low Na/Cr ratio (1st quartile, 1Q) (p<0.001). Moreover, the LS (p=0.028), FN (p=0.002) and WB (p=0.056) in the 4Q group showed 2.0 times, 2.8 times, and 1.9 times greater risk of low BMD z-scores than in the 1Q group, even after adjusting for other confounding factors, such as age, sex, BMI, vitamin D, moderate activity, and household incomes.

Conclusions
Our findings suggest a strong negative association between urine Na excretion and BMD among Korean children and adolescents. The results underscore the importance of public health interventions targeting Na intake. Further longitudinal studies are recommended to clarify the long-term effects of Na on bone health in younger populations.
The Potential of Telepresence in Libraries: Students’ Perspectives
Authors: Virkus Sirje , Alemu Getaneh , Paimre Marianne , Mandre Sigrid , Leoste Janika , Talisainen Aleksei , Marmor Kristel , Pöial Jaanus 
Published: May 2024

Abstract
The paper presents a study of library and information science students’ perceptions and experiences related to the use of telepresence robots (TPRs) in libraries, with a specific focus on students assuming the role of library consultants. The study explores the innovative application of TPRs, such as Double, Ohmni and Temi, within library settings. The findings of the research reveal a positive perception of TPRs, emphasising their potential for fostering innovation, increasing engagement, providing flexibility and overcoming geographical constraints. The study also identifies distinct advantages of TPRs, including remote accessibility, enhanced communication, flexibility, a personalised user experience and cost savings. However, concurrent challenges, such as limitations in nonverbal communication, pointing accuracy, connectivity issues, space requirements, costs, safety, security concerns and varying levels of user acceptance emerge as crucial areas for refinement. While the results may not be generalisable due to the limited sample size, the study underscores the transformative potential of TPRs in libraries and the necessity of addressing these challenges to optimise their application. Further research, technological advancements and user feedback can help refine and optimise the use of TPRs in libraries to provide innovative and accessible assistance.
Multi-objective optimization of machining variables for wire-EDM of LM6/fly ash composite materials using grey relational analysis
Authors: Rubi Charles Sarala , Prakash Jayavelu Udaya , Juliyana Sunder Jebarose , Čep Robert , Salunkhe Sachin , Gawade Sharad Ramdas , Abouel Nasr Emad S. 
Published: May 2024

Abstract
With the enhancement in science and technology, necessity of complex shapes in manufacturing industries have become essential for more versatile applications. This leads to the demand for lightweight and durable materials for applications in aerospace, defense, automotive, as well as sports and thermal management. Wire electric discharge machining (WEDM) is an extensively utilized process that is used for the exact and indented shaped components of all materials that are electrically conductive. This technique is suitable in practically all industrial sectors owing to its widespread application. The present investigation explores WEDM for LM6/fly ash composites to optimize different process variables for attaining performance measures in terms of maximum material removal rate (MRR) and minimum surface roughness (SR). Taguchi’s L27 OA design of experiments, grey relational analysis, and analysis of variance (ANOVA) were employed to optimize SR and MRR. It has been noted from ANOVA that reinforcement (R) percentage and pulse on time are the most influential aspects for Grey Relational Grade (GRG) with their contributions of 28.22 and 18.18%, respectively. It is found that the best process variables for achieving the highest MRR and lowest SR simultaneously during the machining of the composite are gap voltage of 30 V, pulse on time of 10 µs, pulse off time of 2 µs, wire feed of 8 m/min, and R of 9%. The predicted GRG is 0.84, and the experimental GRG value is 0.86. The validation experiments at the optimized setting show close agreement between predicted and experimental values. The morphological study by optical microscopy revealed a homogenous distribution of reinforcement in the matrix which enhances the composite’s hardness and decreases the density.
To the Jubilee of the Honored Researcher of the Russian Federation, Professor A.V. Vardanyan
Authors: Foygel Elena 
Published: May 2024

The article is devoted to the creative and scientific contribution of the Honored Researcher of the Russian Federation, Doctor of Law, Professor, Akop Varazdatovich Vardanyan to the development of criminalistic theory and the improvement of the law enforcement practice of crime counteraction. The author analyzes his key works and evaluates his research findings in the sphere of the general theory of criminalistics and special criminalistic methodologies of investigating specific types and groups of crime — those in the sphere of housing construction and land legal relations, economic and foreign trade activities, insurance, shadow trade in pharmaceuticals, extremism and terrorism, illegal migration. His personal contribution to the development of criminalistic didactics, creation of the school of research, establishment and work of the dissertation council are also stressed.
Colombian Seismic Monitoring Using Advanced Machine-Learning Algorithms
Authors: Castillo Emmanuel , Siervo Daniel , Prieto Germán A. 
Published: May 2024

Abstract
Seismic networks worldwide are designed to monitor seismic ground motion. This process includes identifying seismic events in the signals, picking and associating seismic phases, determining the event’s location, and calculating its magnitude. Although machine-learning (ML) methods have shown significant improvements in some of these steps individually, there are other stages in which traditional non-ML algorithms outperform ML approaches. We introduce SeisMonitor, a Python open-source package to monitor seismic activity that uses ready-made ML methods for event detection, phase picking and association, and other well-known methods for the rest of the steps. We apply these steps in a totally automated process for almost 7 yr (2016–2022) in three seismic networks located in Colombian territory, the Colombian seismic network and two local and temporary networks in northern South America: the Middle Magdalena Valley and the Caribbean-Mérida Andes seismic arrays. The results demonstrate the reliability of this method in creating automated seismic catalogs, showcasing earthquake detection capabilities and location accuracy similar to standard catalogs. Furthermore, it effectively identifies significant tectonic structures and emphasizes local crustal faults. In addition, it has the potential to enhance earthquake processing efficiency and serve as a valuable supplement to manual catalogs, given its ability at detecting minor earthquakes and aftershocks.
Uncertainty in Ground-Motion-to-Intensity Conversions Significantly Affects Earthquake Early Warning Alert Regions
Authors: Saunders Jessie K. , Baltay Annemarie S. , Minson Sarah E. , Böse Maren 
Published: May 2024

Abstract
We examine how the choice of ground-motion-to-intensity conversion equations (GMICEs) in earthquake early warning (EEW) systems affects resulting alert regions. We find that existing GMICEs can underestimate observed shaking at short rupture distances or overestimate the extent of low-intensity shaking. Updated GMICEs that remove these biases would improve the accuracy of alert regions for the ShakeAlert EEW system for the West Coast of the United States. ShakeAlert uses ground-motion prediction equations (GMPEs), which calculate spatial distributions of peak ground acceleration (PGA) and peak ground velocity (PGV) from earthquake source estimates, combined with GMICEs to translate GMPE output into modified Mercalli intensity (MMI). We find significant epistemic uncertainty in alert distances; near-source MMI estimates from different GMICEs can differ by over 1 MMI unit, and MMI extents used for public EEW alerts can differ by hundreds of kilometers for larger magnitude earthquakes (M ∼6.5+). We use a catalog of “Did You Feel It?” shaking reports to evaluate how well GMICEs predict observed shaking. Our preferred GMICE is the one that computes MMI using PGV for high intensities and transitions to using PGA for nondamaging intensities. These results motivate updating GMICE relationships more generally, including in ShakeMap applications.
Mathematical Modeling of HIV/AIDS Disease Spread with Public Awareness
Authors: Fauziah Irma , Manaqib Muhammad , Zhafirah Elisda Mieldhania 
Published: May 2024

This study develops mathematical model for the spread of HIV/AIDS by the population is divided into seven sub-populations, namely the susceptible unaware HIV subpopulation, the susceptible aware HIV sub-population, the infected sub-population, the pre-AIDS sub-population, the ARV treatment sub-population, the AIDS sub-population, and unlikely to be infected with HIV/AIDS sub-population. In this mathematical model, two equilibrium points are obtained, namely the disease-free equilibrium point and the disease-endemic equilibrium point and the basic reproduction number . The stability analysis shows that the disease-free equilibrium point is locally asymptotically stable if and the disease-endemic equilibrium point is locally asymptotically stable if . Numerical simulations of the equilibrium points are carried out to provide an overview of the analyzed results with parameter values from several sources. Based on the sensitivity analysis, the parameters that significantly affect the spread of HIV/AIDS are the contact rate of HIV-unaware individuals with infected individuals and the transmission rate of HIV infection
The Boundedness of Generalized Fractional Integral Operators on Small Morrey Spaces
Authors: Syaifudin Rizky Aziz , Karim Corina , Marjono Marjono , Rahman Hairur 
Published: May 2024

The small Morrey space is the set of locally Lebesgue integrable functions with norm defined supremum over radius of ball . This paper aims to prove the boundedness properties of the generality of fractional integral operators in small Morrey spaces using Hedberg-type inequality. The first, in this paper will be discuss to prove Hedberg-type inequality on small Morrey spaces using dyadic decomposition, H lder inequality, and doubling condition. Furthermore, by using the inequality, it can be proven that the boundedness of generalized fractional integral operators on small Morrey spaces.
Persuasive Analysis on “Make Over” Advertisement Instagram Caption
Authors: Sholikhatin Sholikhatin 
Published: May 2024

This study discusses the persuasive techniques used in advertising women's beauty products on Instagram social media. This study examines "Persuasive Analysis of Instagram Caption Ads "Make Over". The purpose of this research is to find out the types of persuasive techniques and strategies used in advertising beauty products on Instagram. techniques used in advertising beauty products from beauty product accounts. The source of the data in this study came from the captions of several beauty product accounts on "Make Over". The descriptive method was used to analyze the data using Keraf's theory (2004). The data was obtained from 16 captions on the "Make Over" beauty product. From the results of the study it was concluded that the most frequently used suggestion technique, from the 16 collected data sheets it can be seen that the persuasive presentation techniques used in advertising beauty products are: rationalization 38%, identification 13%, suggestions. 18%, 13% conformity, 6% compensation, 6% displacement, and 6% projection. Then, the techniques most often used in advertising are rationalization techniques and suggestion techniques because they are easier for advertisers to reach and attract consumers' attention. It is suggested to future researchers with the same topic to apply several other persuasive theories and not only focus on one theory for research improvement.

Keywords: Persuasive technique, Advertisment Make Over.
POLLUTION OF GROUNDWATER RESOURCES BY PROCESSES IRON ORE SURFACE USE
Authors: Bodyuk Adam , Rozen Viktor , Terentiev Oleg , Kryuchkov Anatoli , Sergienko Mykola 
Published: May 2024

In Ukraine, as in most countries of the world, preservation of the natural qualities of surface and underground water resources is one of the difficult to solve problems. Groundwater pollution is carried out spontaneously and as a result of organized emissions on the surface of territories and into underground cavities. Contaminated areas of territories around mineral deposits, industrial facilities, as well as masses of pollutants, are growing. In terms of scale, it is necessary to single out groundwater pollution as a result of ore extraction and placement of rocks in dumps, as the most harmful for agricultural lands and surface water bodies. Calculating the amount of compensation for damages caused by contamination of groundwater with harmful substances requires further official adjustments, taking into account the factor of public ownership of natural resources in general.
Therefore, it is necessary that the following situations are officially taken into account in the normative legal acts of local authorities: underground waters and their environment belong to objects of public property, therefore, in the methods of determining and calculating the ecological consequences of pollution of underground waters and their underground environment, it is necessary to provide that damages must be studied and assessed from the point of view of damage to public property; polluted underground waters and their underground environment are located locally on the territories of territorial Starostov districts, which represent the people of Ukraine; in accordance with clause 1, when calculating the amount of compensation for pollution, it is generally necessary to determine the losses for the population of these districts and the amounts of charges and payments to them; local authorities need to organize compensation processes, monitor their implementation and effectiveness.
The definition of an environmental tax does not correspond to the definition of the concept of a tax as an unconditional payment to the budget, since in its essence it is a punishment for the discharge of polluted substances into water bodies and ecological pollution of water resources.
DiagNet-A Hybrid Physics-Data Driven Model for Fractured Reservoir Simulation
Authors: Aslam Billal , Yan Bicheng , Lie Knut-Andreas , Krogstad Stein , Moyner Olav , He Xupeng 
Published: May 2024

Abstract
Fractured reservoir simulation is important and applicable to understand many processes related to subsurface geo-energy recovery and storage, such as shale gas/oil, enhanced geothermal systems, and CO2 sequestration in basaltic rocks. However, such simulations are often computationally expensive to capture the high contrast of permeability and pore volume between matrix and fracture. Therefore, a reduced order model (ROM) can be extremely beneficial for fractured reservoir simulation to reduce computational costs for iterative history-matching and reservoir optimization workflows.
In this study, we propose a novel ROM that flexibly honors fracture representations, namely DiagNet. In DiagNet, we generate the coarse matrix nodes based on the reservoir outlines, and add extra diagonal connections between non-neighboring matrix nodes if intersecting fractures traverse them, which avoids the inclusion of additional fracture nodes. Since dimensionality reduction methods, such as Principal Component Analysis (PCA) can facilitate the model parameterization, we adopt PCA to generate quality priors for sampling of the matrix transmissibility and pore volume arrays. Further, the DiagNet models are then calibrated to the well observation data (such as well flow rates and bottom-hole pressures), and a gradient-based optimization method is implemented in a general automatic-differentiable simulator framework to tune the model parameters (e.g., matrix/fracture transmissibilities, pore volumes, and well indices).
Our results show that we can perform robust calibration of DiagNet based on the synthetic well observation data from a fine-scale reference simulation model. We have found that it is necessary to incorporate the dominant flow physics (i.e., water breakthrough) from the observation data to improve the training convergence and the prediction accuracy for DiagNet. Further, PCA for parameterization improves the convergence rate of model calibration, as compared to random initialization. Interpretation of the calibrated transmissibility field from DiagNet aligns with high connectivity regions from the fine-scale reference model. As a result, the new DiagNet is interpretable in terms of reservoir connectivity or geology and thus can be used for reservoir history-matching using observation data from the field and the further optimization.
3d-printable Biopolymers for Socket Preservation Technique: Soft Tissues Response. A Randomized Clinical Trial
Authors: Angelis Nicola , Pesce Paolo , Poedjiastoeti Wiwiek , Suwandi Trijani , Tjandrawinata Rosalina , Bagnasco Francesco , Menini Maria 
Published: May 2024

Abstract

Objectives
The aim of the present parallel clinical study is to evaluate the efficacy of 3D printed biopolymers compounded with osteoconductive material (beta-tricalcium phosphate and hydroxiapatite) for soft tissues closure after teeth extraction.
Materials and Methods
this study followed the CONSORTreporting guidelines 39 patients were treated with socket preservation using 3D printed biopolymers and randomly divided in 3 groups (Test 1, Test 2 and Control). All cases were treated without flap elevation, careful cleaning and courettage of the sites and then randomly sealed as follows: T1 a 3D printed disk of poli-D-lactic acid with 10% of hydroxyapatite; T2 : a 3D printed disk of poli- ε caprolactone with 20% of β-tricalcium phosphate; T3 : the socket was left open to heal. At baseline (extraction time) and 6 weeks after extraction the rate of exposure was evaluated and stratified according to the site ( anterior, posterior).
Results
No drop out were observed during the 6 weeks follow-up. All the sites underwent uneventful healing with no complications. Test 1 and Test 2 showed a full healing of the soft tissues with a reduction of the exposed area from 46.5 ± 8.25 mm2 to 0.6 ± 0.84 mm2 and from 47.1 ± 8.67 mm2 to 0.6 ± 0.7 mm2 respectively. The control Group exhibited a reduction from 45.6 ± 7.25 mm2 to 1.2 ± 0.9 mm2. Both Test 1 and 2 when compared to the Control group showed a statistically significant better healing (p < 0.05). No differences between Test and Control groups were noticed for anterior teeth.
Conclusions
The future focus of personalized medicine is to employ cost-competitive materials, such as bio-polymers and their compounds, along with 3D printing technology, to achieve precision, biocompatibility, and cost reduction. Both materials used in this study showed evidence to achieve the purpose.
Ethical Guidelines: written informed consent was obtained from the participants of the study, as requested by Ethics Committee for Health Research Faculty of Dentistry, Universitas Trisakti with the following number 641/S3/KEPK/FKG/5/2023.
Trial registration
Registered on 04/03/2024 ISRCTN12199305
Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder
Authors: Ruiz Maria Herrojo , Ivanova Marina , Germanova Ksenia , Petelin Dmitry , Ragymova Aynur , Kopytin Grigory , Volel Beatrice , Nikulin Vadim 
Published: May 2024

Abstract

Bipolar disorder (BD) involves altered reward processing and decision-making, with inconsistencies across studies. Here, we integrated hierarchical Bayesian modelling with magnetoencephalography (MEG) to characterise maladaptive belief updating in this condition. First, we determined if previously reported increased learning rates in BD stem from a heightened expectation of environmental changes. Additionally, we examined if this increased expectation speeds up belief updating in decision-making, associated with modulation of rhythmic neural activity within the prefrontal, orbitofrontal, and anterior cingulate cortex (PFC, OFC, ACC). Twenty-two euthymic BD and 27 healthy control (HC) participants completed a reward-based motor decision-making task in a volatile setting. Hierarchical Bayesian modelling revealed BD participants anticipated greater environmental volatility, resulting in a more stochastic mapping from beliefs to actions and paralleled by lower win rates and a reduced tendency to repeat rewarded actions than HC. Despite this, BD individuals adjusted their expectations of action-outcome contingencies more slowly, but both groups invigorated their actions similarly. On a neural level, while healthy individuals exhibited an alpha-beta suppression and gamma increase during belief updating, BD participants showed dampened effects, extending across the PFC, OFC, and ACC regions. This was accompanied by an abnormally increased beta-band directed information flow in BD. Overall, the results suggest euthymic BD individuals anticipate environmental change without adequately learning from it, contributing to maladaptive belief updating. Alterations in frequency-domain amplitude and functional connectivity within the PFC, OFC, and ACC during belief updating underlie the computational effects and could serve as potential indicators for predicting relapse in future research.