Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Implant Surface Modification with Nanohydroxyapatite Associated with the Use of L-PRF: In Vivo Study in Rats

Leukocyte–platelet-rich fibrin (L-PRF) contains growth factors that stimulate bone regeneration. This study evaluated the bone repair in a tibia rat model around two implant surfaces in combination or not with L-PRF by assessing microtomographic and histomorphometric parameters. A total of 48 female rats were used in the study, in which 24 received implants with two types of surface treatments (dual acid etched—DAE or nanohydroxyapatite—nanoHA), and the other 24 received the same mini implants with L-PRF, which was collected by cardiac puncture, centrifugated, and inserted in the bone bed. The animals were euthanized 7 and 30 days after implant placement, and the retrieved samples were prepared for microtomographic and histomorphometric (bone-to-implant contact—BIC; and Bone Area Fraction Occupancy—BAFO) analyses. The adhesion of the nanoHA surface onto the implant surface was investigated by insertion and removal in simulated bone medium (Sawbones). The adhesion evaluation revealed that the loss of nanoHA after this procedure (as measured with SEM) from the implant surface was less than 1%. Overall, the nanoHA surface presented more bone in contact and in proximity to the implant, a higher bone surface/tissue volume fraction, a higher number of bone trabeculae, as well as trabecular separation relative to the DAE surface. Such results were more evident when the nanoHA surface was combined with L-PRF and after 30 days in vivo. The nanoHA surface presented higher BAFO when compared to DAE, with or without association with L-PRF. Therefore, implants with a nanoHA surface potentially benefit from the association to L-PRF.
Tax Planning, Deferred Tax Expense and Deferred Tax Assets on Earnings Management

This study aims to determine the effect of tax planning, deferred tax expense, and deferred tax assets on earnings management. Earnings Management is an action taken by management in an effort to increase or decrease profits in the financial statements. This study uses statistical analysis methods. The data collection method used in this research is documentation. The data collection process in this study was carried out by taking data from the financial statements of mining companies listed on the Indonesia Stock Exchange in 2016-2019. The data analysis tool in this study uses the IBM SPS application. The results of the study found that: Tax planning has a positive and significant effect, earnings management in tax planning is carried out with the aim of maximizing the profits obtained after calculating taxes. Deferred tax expense has a positive and insignificant effect, temporary differences due to deferred tax expense give rise to management discretion in applying the principles or assumptions in the financial statements. Deferred tax assets have a negative and insignificant effect, the implementation of earnings management through deferred tax assets is considered to cause losses and the financial statements are considered dubious.
Puzzles of Surface Segregation in Binary Pt–Pd Nanoparticles: Molecular Dynamics and Thermodynamic Simulations

Up till now, there have been extremely contradictory opinions and inadequate results concerning surface segregation in binary platinum–palladium (Pt–Pd) nanoparticles, including the problems regarding segregating components, as well as the size and temperature dependences of segregation. Taking into account such a situation, we investigated the surface segregation in Pt–Pd nanoparticles by combining atomistic (molecular dynamics) and thermodynamic simulations. For molecular dynamics experiments, the well-known program LAMMPS and the embedded atom method were employed. In the course of the atomistic simulations, two different sets of parameterizations for the Pt–Pt, Pd–Pd, and Pt–Pd interatomic interaction potentials were used. The thermodynamic simulation was based on solving the Butler equation by employing several successive approximations. The results obtained via atomistic simulation and thermodynamic simulation on the basis of the Butler equation were compared with each other, as well as with predictions that were based on the Langmuir–McLean equation and some experimental data. Both simulation methods (atomistic and thermodynamic) predicted the surface segregation of Pd, which diminishes with the nanoparticle size and with increasing temperature. Our simulation results do not confirm the predictions of some authors on surface segregation inversion, i.e., the reversal from the surface segregation of Pd to the surface segregation of Pt when diminishing the nanoparticle size.
Exploratory study and application of the angular wavelet analysis for assessing the spatial distribution of breakdown spots in Pt/HfO2/Pt structures

The angular wavelet analysis is applied for assessing the spatial distribution of breakdown spots in Pt/HfO2/Pt capacitors with areas ranging from 104 to 105 μm2. The breakdown spot lateral sizes are in the range from 1 to 3 μm, and they appear distributed on the top metal electrode as a point pattern. The spots are generated by ramped and constant voltage stresses and are the consequence of microexplosions caused by the formation of shorts spanning the dielectric film. This kind of pattern was analyzed in the past using the conventional spatial analysis tools such as intensity plots, distance histograms, pair correlation function, and nearest neighbours. Here, we show that the wavelet analysis offers an alternative and complementary method for testing whether or not the failure site distribution departs from a complete spatial randomness process in the angular domain. The effect of using different wavelet functions, such as the Haar, Sine, French top hat, Mexican hat, and Morlet, as well as the roles played by the process intensity, the location of the voltage probe, and the aspect ratio of the device, are all discussed.The angular wavelet analysis is applied for assessing the spatial distribution of breakdown spots in Pt/HfO2/Pt capacitors with areas ranging from 104 to 105 μm2. The breakdown spot lateral sizes are in the range from 1 to 3 μm, and they appear distributed on the top metal electrode as a point pattern. The spots are generated by ramped and constant voltage stresses and are the consequence of microexplosions caused by the formation of shorts spanning the dielectric film. This kind of pattern was analyzed in the past using the conventional spatial analysis tools such as intensity plots, distance histograms, pair correlation function, and nearest neighbours. Here, we show that the wavelet analysis offers an alternative and complementary method for testing whether or not the failure site distribution departs from a complete spatial randomness process in the angular domain. The effect of using different wavelet functions, such as the Haar, Sine, French top hat, Mexican hat, and Morlet, as well as the roles pla.
Experiments on localized secondary instability in bypass boundary layer transition

An experimental study on localized secondary instability of unsteady streamwise streaks in bypass boundary layer transition under an elevated level of free-stream turbulence has been carried out mainly using the particle image velocimetry (PIV) technique. Simultaneous orthogonal dual-plane PIV measurements were performed for a concurrent examination of the transitional flow features in both wall-normal and spanwise planes. These quantitative and simultaneous visualizations clearly show the wall-normal view of a low-speed streak undergoing sinuous/varicose motion in the spanwise plane. An oscillating shear layer in the wall-normal plane is found to be associated with the sinuous/varicose streak oscillation in the spanwise plane. Further, these measurements indicate that a localized secondary instability wavepacket can originate near the boundary layer edge. The time-resolved PIV measurements in the wall-normal plane clearly show how an instability develops on a lifted-up inclined shear layer and leads to flow breakdown. The estimated wavelength and convection velocity of such instabilities are found to compare well with those calculated from the one-dimensional linear stability analysis of the spatially averaged velocity profiles associated with the lifted-up shear layers. The time-resolved PIV measurements in the spanwise plane also facilitate quantitative visualizations of sinuous and varicose instabilities. These measurements experimentally confirm that a varicose instability at the juncture of an incoming high-speed streak and a downstream low-speed streak can eventually lead to the formation of lambda structures. The estimated convection velocity, wavelength and growth rate of these instabilities are found to be consistent with the numerical results reported in the literature. Moreover, the streak secondary instability is found to be apparent in the velocity contours, while the estimated streak amplitude is approximately 30 % of the free-stream velocity.
Measurement of Ghrelin as a Marker of Appetite Dysregulation in Cats with and without Chronic Kidney Disease

Simple Summary Cats with chronic kidney disease (CKD) frequently suffer from weight loss and inadequate caloric intake due to poor appetite. Ghrelin is a key hormone involved in the regulation of appetite, and it circulates in two forms: acylated and desacyl ghrelin. Acylated ghrelin is associated with initiating and stimulating appetite, whereas desacyl ghrelin is considered anorexigenic. To investigate appetite regulation in cats, this study compared plasma acylated, total, and calculated desacyl ghrelin concentrations in cats with and without CKD. The results demonstrate that cats with CKD have increased desacyl and total ghrelin concentrations in comparison to normal cats, consistent with dysregulation of appetite. This increase was correlated with disease severity. Abstract Appetite abnormalities and weight loss are important comorbidities in the treatment of chronic kidney disease (CKD) in cats. Ghrelin, a key hormone involved in the regulation of appetite and metabolism, is a potential marker of appetite dysregulation in cats with CKD. The aim of this study was to compare the plasma concentrations of acylated, desacyl, and total ghrelin in normal cats and cats with CKD. Storage methodology was investigated prior to evaluating ghrelin concentrations in normal and CKD cats to facilitate clinical sample collection. Twelve normal cats and twelve cats with CKD were enrolled. Plasma acylated and total ghrelin concentrations were measured using radioimmunoassay. Desacyl ghrelin was calculated (total ghrelin minus acylated ghrelin). Cats with CKD had significantly increased total ghrelin and calculated desacyl ghrelin concentrations in comparison to normal cats (p < 0.0001 and p = 0.0001). There was no significant difference in active ghrelin concentrations between groups. Both total ghrelin and calculated desacyl ghrelin were significantly correlated with serum creatinine concentrations (p < 0.0001, r = 0.70 and p < 0.0001, r = 0.73). Elevated plasma desacyl ghrelin concentrations in cats with CKD provides evidence for dysregulation of appetite in feline CKD.
Using Cross Entropy Optimization to Model Active Galactic Nuclei Light Curves from VLBA MOJAVE Images

We present in this article a new method to derive the observed properties of outbursts in relativistic jets. We use the VLBI MOJAVE maps to obtain the light curves, based on the principle that the variability of extragalactic sources, in this case 3C 279 and 4C +29.45, should appear in high resolution observations since 1996 until 2016. The use of the cross entropy method (CE) can accurately determine the ranges of parameters for a sequence of outbursts based on the shock-wave model, where the decay/rise timescale ratio has a small spread and the use of a unique index 1.3 generates a good fit modeled by functions of outbursts and by the model of the three stages. By the CE method, one can automatically get the start epochs as well as the occurrence of rise and decline times of the outbursts in the light curves. The values found are in agreement with the power-law distribution of energy, which shows that the cooling of electrons is a predominant process during the initial phase of the shock model evolution. The results of the decomposition show that the outbursts match the VLBI components observed in jets in addition to showing strong evidence of the peaks in the frequencies of 15.3 GHz. With this, we can model the shock waves with reference to the distance at the core of AGN to obtain the Doppler factor and the Lorentz factor.
Variation in Susceptibility to Downy Mildew Infection in Spanish Minority Vine Varieties

Downy mildew is one of the most destructive diseases affecting grapevines (Vitis vinifera L.). Caused by the oomycete Plasmopara viticola (Berk. and Curt.) Berl. and de Toni, it can appear anywhere where vines are cultivated. It is habitually controlled by the application of phytosanitary agents (copper-based or systemic) at different stages of the vine growth cycle. This, however, is costly, can lead to reduced yields, has a considerable environmental impact, and its overuse close to harvest can cause fermentation problems. All grapevines are susceptible to this disease, although the degree of susceptibility differs between varieties. Market demands and European legislation on viticulture and the use of phytosanitary agents (art. 14 of Directive 128/2009/EC) now make it important to know the sensitivity of all available varieties, including minority varieties. Such knowledge allows for a more appropriate use of phytosanitary agents, fosters the commercial use of these varieties and thus increases the offer of wines associated with different terroirs, and helps identify material for use in crop improvement programmes via crossing or genetic transformation, etc. Over 2020–2021, the susceptibility to P. viticola of 63 minority vine varieties from different regions of Spain was examined in the laboratory using the leaf disc technique. Some 87% of these varieties were highly susceptible and 11% moderately susceptible; just 2% showed low susceptibility. The least susceptible of all was the variety Morate (Madrid, IMIDRA). Those showing intermediate susceptibility included the varieties Sanguina (Castilla la Mancha, IVICAM), Planta Mula (Comunidad Valenciana, ITVE), Rayada Melonera (Madrid, IMIDRA), Zamarrica (Galicia, EVEGA), Cariñena Roja (Cataluña, INCAVI), Mandrègue (Aragón, DGA) and Bastardo Blanco (Extremadura, CICYTEX). The highly susceptible varieties could be differentiated into three subgroups depending on sporulation severity and density.
Direct and indirect relationships between disordered eating, sociocultural factors, satisfaction of basic psychological needs and controlled regulation of exercise in university students

: Objective: The current study aims to investigate, which of the factors are directly and indirectly associated with disordered eating in a non-clinical population of university students in Slovakia. Methods: 302 university students (52.3% female, M age=21) filled in a questionnaire assessing the perceived pressure to be thin, the internalization of appearance ideals, disordered eating, satisfaction of basic psychological needs and the regulation of exercise. The hypothesized model was tested with a parallel multiple mediation analysis using PROCESS macro. Results: The pressure to be thin from partner, the internalization of appearance ideals and the controlled regulation of exercise were directly associated with disordered eating. The pressure to be thin from media was indirectly associated with disordered eating through the internalization of appearance ideals. The pressure to be thin from partner and from family as well as satisfaction of the need for competence were indirectly associated with disordered eating through the controlled regulation of exercise. Conclusions: The results of the current study support the focus of the existing eating disorder interventions at decreasing the internalization of sociocultural appearance ideals. The results suggest the usefulness of incorporating the promotion of autonomous regulation of behaviour, especially with regard to exercising, within the prevention and intervention field.
High-Definition Maps: Comprehensive Survey, Challenges, and Future Perspectives

In cooperative, connected, and automated mobility (CCAM), the more automated vehicles can perceive, model, and analyze the surrounding environment, the more they become aware and capable of understanding, making decisions, as well as safely and efficiently executing complex driving scenarios. High-definition (HD) maps represent the road environment with unprecedented centimetre-level precision with lane-level semantic information, making them a core component in smart mobility systems, and a key enabler for CCAM technology. These maps provide automated vehicles with a strong prior to understand the surrounding environment. An HD map is also considered as a hidden or virtual sensor, since it aggregates knowledge (mapping) from physical sensors, i.e., LiDAR, camera, GPS and IMU to build a model of the road environment. Maps for automated vehicles are quickly evolving towards a holistic representation of the digital infrastructure of smart cities to include not only road geometry and semantic information, but also live perception of road participants, updates on weather conditions, work zones and accidents. Deployment of autonomous vehicles at a large scale necessitates building and maintaining these maps by a large fleet of vehicles which work cooperatively to continuously keep maps up-to-date for autonomous vehicles in the fleet to function properly. This article provides an extensive review of the various applications of these maps in highly autonomous driving (AD) systems. We review the state-of-the-art of the different approaches and algorithms to build and maintain HD maps. Furthermore, we discuss and synthesise data, communication and infrastructure requirements for the distribution of HD maps. Finally, we review the current challenges and discuss future research directions for the next generation of digital mapping systems.
What Teachers Expect: The Relationship between Student Learning Behaviour and Teacher Expectation

Teachers play an essential role in any education system and are an important factor that has a bearing on student success. Teachers’ anticipation and commitment in the field of teaching and learning are but a significant component of the teacher’s performance in general. This study seeks to offer ways to improve students learning behaviour in the Aowin Municipality by considering the relationship between teachers’ expectations and students’ learning behaviour in the Ghanaian context. A Correlational research design was employed for the study. Using the Krejcie and Morgan table of sample size, a sample of 225 comprising 205 students and 20 teachers from 19 Junior High Schools in the Aowin Municipality was selected for the study. A multi-stage sampling method is adopted and used for conducting the study. An adapted Teacher Expectations questionnaire by Gallahar, with a reliability coefficient of 0.87 was used for the study. It was found that the relationship between teacher expectation (independent variable) and students’ behaviour (dependent variable), though not statistically significant (r (215) = -. 204, p = . 403), it was concluded that what teachers expect of their students may have some form of influence on the learning behaviours of students. It is therefore recommended that the school authorities should regulate the kind of expectations teachers give their students. For instance, the head teacher can have the general expectations for the school as well as specific classroom expectations by the individual class teachers. This can be read or pasted to keep reminding the students of what is expected of them
Wealth Impact of Unit Rights Offerings to Debt Holders: Evidence from Australia

We examine the debt holders' wealth effect of Australian firms and the factors that determine firms' decision to issue unit rights. The sample consists of 638 offerings observations spanning from year 2000 to 2014. Probability of default has been used as the proxy for debt holders wealth. We also use probit model to gauge determinants of firms' choice in issuing unit rights. As the robustness test, logit model was also presented. Aligned with Sequential Financing Hypothesis by Schultz (1993) and Signaling Hypothesis as in Chemmanur and Fulghieri (1997), we find that firms with small size, low issuance proceeds, high risk, low managerial ownership and positive growth prospect tend to issue unit rights. We also obtain findings that support to Leverage Risk Reduction Hypothesis which suggest that debt holders' return is favorably affected by lower financial leverage.
Impact of Inventory Management Policies on Supply Chain Resilience at RiRiShun Logistics

: Using one year's transaction level data from a large logistics service provider, this paper employs discrete event simulation to assess various inventory policies for managing supply chain risks and developing resilience. Datasets from a large Chinese Business-To-Consumer firm (RiRiShun Logistics) specialising in the order fulfilment of household appliances were provided. Using the datasets, a discrete event simulation model of RiRiShun's distribution supply chain in two customer regions was developed using anyLogistix ™ simulation software. A series of experiments were carried out to analyse the impact of inventory management policies on the performance of its supply chain in the face of disruptions. Results showed that decentralised inventory performed better when dealing with disruptions, while centralised inventory performed better when dealing with demand uncertainty.
Assessing and Modeling the Energy Consumption of PoE-Powered WiFi Access Point

We believe that studying the energy consumption behavior of access points before focusing on energy-saving methods is worthwhile. This approach allows us to identify the parameters that can affect energy consumption and explore potential optimizations for current and future WiFi infrastructure deployments. To do this, in this paper, we first present a measurement technique based on the Power over Ethernet principle to accurately assess the power consumption of access points. Secondly, we propose a general model capable of predicting or estimating the impact of network traffic characteristics on access point power consumption. The validity of the proposed power model is confirmed through the utilization of linear regression analysis. The results obtained from this analysis demonstrate low mean absolute percentage errors (MAPE) of 1.65% and 1.16% for the proposed model. These findings provide strong evidence supporting the accuracy and effectiveness of the power model. Based on our theoretical analysis and the accuracy of our power measurement technique, we demonstrate that optimal selection of available bandwidths can significantly enhance the energy efficiency of access points during data communication.