Miracle-dz/UniFAR-FTUs huggingface dataset:
Dependence of phonon transport properties with stacking thickness in layered ZnO

The thermoelectric property of ZnO is severely limited due to its high thermal conductivity, in spite of its enormously extraordinary characteristics. Two-dimensional (2D) materials usually act as a good strategy to suppress heat transfer by introduction of interfacial scattering in low dimensional systems. The dependence of thermal conductivity on thickness in 2D ZnO is investigated using a first-principle study, combined with the Boltzman phonon transport equation. The thermal conductivity of ZnO for the first three layers sharply decreases with the thickness increasing, which is attributed to the broken phonon selection rule and stronger anharmonicity. The suppressed processes can be reactivated in contrast to the monolayer, such as ZA + ZA/ZO ZA/ZO and ZA + LA/TA/LO/TO LA/TA/LO/TO. The scattering channels for flexural phonons increase, which suppresses the phonon transport and decreases the thermal conductivity. In addition, the decrease of in-plane interactions outweighs the enhancement of out-of-plane interactions, which leads to the reduced acoustic-optical gap. More A + A O phonon scattering may take place and hinder thermal transfer due to a smaller phonon gap. Furthermore, the variation of bond strength in-plane and out-of-plane in multilayer ZnO leads to the reduction of phonon group velocity and the enhancement of anharmonicity.
Luminosity Correction Using Statistical Features on Retinal Images

Retinal fundus image is important for the ophthalmologist to identify and detect many vision-related diseases, such as diabetes and hypertension. From an acquisition process, retinal images often have low gray level contrast and low dynamic range. This problem may seriously affect the diagnostic process and its outcome, especially if an automatic computer-based procedure is used to derive diagnostic parameters. In this paper, a new proposed method based on statistical information such as mean and standard deviation was studied. The combination of local and global technique was successful to detect the luminosity region. Then, a simple correction intensity equation was proposed in order to replace the problem intensity. The results of the numerical simulation (SNR = 2.347 and GCF = 4.581) indicate that the proposed method effective to enhance the luminosity region. Implications of the results and future research directions are also presented. Keywords: Detection, Luminosity, Retinal, Statistical.
Do women on boards, education diversity and corporate governance affect firm risk and firm performance in Thailand?

The purposes of my study are to investigate the relationship among women on boards, education diversity, and corporate governance on firm risk and/or firm performance of listed companies in Thailand during 2010-2019. Surprisingly, I find an insignificant relationship between the proportion of female directors and firm risk (both total risk and idiosyncratic risk). Moreover, the findings show that women on boards strongly improve ROA, but significantly reduce Tobin’s Q. For education diversity, there is no significant relationship on any measures of firm performance. This study further discovers that an incremental effect of female education diversity on women directorship positively affects only Tobin’s Q. In addition, the result also suggests that an incremental effect of women directorship on corporate governance lowers a positive effect of corporate governance on ROA, but not on Tobin’s Q. Overall, all of these findings appear to vary depending on the type of firm performance measures used.
Rhetorical structures, strategies, and linguistic features of problem statement to promote a teaching writing model

Studies about rhetorical moves in the introduction section have been widely conducted. However, the studies focusing on the research problem statement is still limited. This current study investigated the rhetorical structures, strategies, and linguistic features of the problem statement written by undergraduate students, which aimed to contribute to the teaching model in teaching academic writing. This research was a qualitative case study belonging to genre analysis, using Swale’s CARS model. Thirty undergraduate students’ problem statement texts were explored, and interviewers were further conducted to collect the data. The results indicated that nine types of rhetorical structures were employed, most of which were characterized as incomplete. The rhetorical strategies employed by the students were making a centrality claim, making topic generalizations, reviewing previous research, indicating a gap, establishing need and problem, continuing a tradition, outlining purposes, and announcing the state of the present research. Specific linguistic features were used in each move and step although the students admitted that they had lack of knowledge with linguistic features. Based on the research finding, a Critical Genre-Based model for teaching problem statements in writing is proposed because this model has facilitative effect on consciousness-raising of the genre’s rhetorical structure.
The Nurse Factor In Pain Therapy

Multidisciplinary approach is mandatory for pain management. Nurses play a key role in this well organised team work. So, they need to have sufficient knowledge, ability and experience on the mechanisms, evaluation and control of pain. In this article, following the general knowledge on definition and classification of pain, "the nurse factor" in pain control will be reviewed.
Biostatistics: A Foundation for Analysis in the Health Sciences, 5th Edition.

The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11 th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine.
Algebraic analysis of two-level multigrid methods for edge elements

We present an algebraic analysis of two-level multigrid methods for the solution of linear systems arising from the discretization of the curl-curl boundary value problem with edge elements. The analysis is restricted to the singular compatible linear systems as obtained by setting to zero the contribution of the lowest order (mass) term in the associated partial differential equation. We use the analysis to show that for some discrete curl-curl problems, the convergence rate of some Reitzinger-Schoberl two-level multigrid variants is bounded independently of the mesh size and the problem peculiarities. This covers some discretizations on Cartesian grids, including problems with isotropic coefficients, anisotropic coefficients and/or stretched grids, and jumps in the coefficients, but also the discretizations on uniform unstructured simplex grids.
ABC as a Multi-Lens Sustainability Reporting System in Smart Cities

There is a very short list of theoretical and empirical studies on the role of management accounting tools in the sustainability of smart cities. While the majority of these studies have addressed this role from the perspective of openness, participation, and hybridisation, others have addressed it in terms of economic, social, and environmental sustainability. Despite their early efforts often focusing on institutionalisation and governmentality processes, their analyses did not address how management accounting tools can be used to achieve sustainable goals, particularly in developing countries with a political and cultural character. This study aims to explore how an activity-based costing/ABC system is configured within urban development organisations to internalise cultural and political sustainability values at the smart city level. It applies a politico-cultural model and uses a case study approach from an Egyptian state-owned smart city enterprise. The findings reveal smart city culture and political/government compliance in the implementation of the ABC system, enabled by enterprise resource planning/ERP technology, within state-owned enterprises/SOEs. This system, seen as an emerging field, was created as a multi-lens reporting system on their political and cultural sustainability in smart cities. While political sustainability refers to SOEs’ compliance with the ABC system, cultural sustainability refers to the embodiment of national smart city values in their system implementation. This sustainability costing system of a political and cultural nature has also created recursive dynamics, exemplified by the powerful role of ERP-ABC reports in making participatory sustainability decisions at various organisational and governmental levels for smart cities.
Impact of molecular structure of smectogenic chiral esters (3FmX1X2r) on vibrational dynamics as seen by IR and Raman spectroscopy

ABSTRACT Smectogenic chiral esters with three-ring rigid core were examined by infrared and Raman spectroscopy. These compounds differ in the type of chiral centre, length of non-chiral chain and substitution of phenyl ring by fluorine atoms. The influence of molecular structure on the type of handedness of helical structure, as well as the shift and split of absorption bands on IR and Raman spectra were determined. The change of the length of non-chiral terminal chain has the most significant influence on the type of helical twist sense. All considered structural elements of tested compounds have the biggest influence on the value of wavelength of vibrational bands related to the carbonyl group located in the rigid core. Graphical Abstract
Tinnitus and Cochlear Functions in Hearing Impaired and Normal Hearing Individuals

Background: In order to determine the pathophysiology of tinnitus and deciding on treatment, the function of peripheral hearing organs is very important. Objective: To evaluate the cochlear functions in tinnitus patients with or without hearing-loss(HL). Methods: Participants with tinnitus were divided into two groups; 16 participants with accompanying HL were included in the first study group (SG-I), and 15 participants without HL were included in the second group (SG-II). 21 normal-hearing subjects without tinnitus included as control group(CG). Tinnitus discomfort levels was determined with Tinnitus Handicap Inventory(THI). Besides pure-tone audiometry, Otoacoustic Emissions, to evaluate cochlear functions and to decide dead regions (DR), Threshold Equalizing Noise-(TEN) was used. Results: The threshold-shift was observed with TEN in subjects in SG-I and these levels were statistically different from SG-II and CG. There were both threshold-shift and DR in SG-II according to TEN. TEOAEs did not differ between SG-II and CG. The DPOAE results for SG-II showed significant decreases in emission amplitudes at 6 & 8 kHz. Conclusion: While Tinnitus patients with HL can be evaluated with conventional tests, evaluating patients with normal hearing tinnitus with additional tests such as OAE and TEN allows us to get more precise results on the functions of peripheral hearing organs.
Exponential weighted aggregation : oracle inequalities and algorithms

Dans plusieurs domaines des statistiques, y compris le traitement du signal et des images, l'estimation en grande dimension est une tâche importante pour recouvrer un objet d'interet. Toutefois, dans la grande majorite de situations, ce probleme est mal-pose. Cependant, bien que la dimension ambiante de l'objet a restaurer (signal, image, video) est tres grande, sa ``complexite'' intrinseque est generalement petite. La prise en compte de cette information a priori peut se faire au travers de deux approches: (i) la penalisation (tres populaire) et (ii) l'agregation a poids exponentiels (EWA). L'approche penalisee vise a chercher un estimateur qui minimise une attache aux donnees penalisee par un terme promouvant des objets de faible complexite (simples). L'EWA combine une famille des pre-estimateurs, chacun associe a un poids favorisant exponentiellement des pre-estimateurs, lesquels privilegent les memes objets de faible complexite.Ce manuscrit se divise en deux grandes parties: une partie theorique et une partie algorithmique. Dans la partie theorique, on propose l'EWA avec une nouvelle famille d'a priori favorisant les signaux parcimonieux a l'analyse par group dont la performance est garantie par des inegalites oracle. Ensuite, on analysera l'estimateur penalise et EWA, avec des a prioris generaux favorisant des objets simples, dans un cardre unifie pour etablir des garanties theoriques. Deux types de garanties seront montres: (i) inegalites oracle en prediction, et (ii) bornes en estimation. On les declinera ensuite pour des cas particuliers dont certains ont ete etudies dans litterature. Quant a la partie algorithmique, on y proposera une implementation de ces estimateurs en alliant simulation Monte-Carlo (processus de diffusion de Langevin) et algorithmes d'eclatement proximaux, et montrera leurs garanties de convergence. Plusieurs experiences numeriques seront decrites pour illustrer nos garanties theoriques et nos algorithmes.
IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation

Self-supervised monocular depth estimation has been a challenging task in computer vision for a long time, and it relies on only monocular or stereo video for its supervision. To address the challenge, we propose a novel multi-frame monocular depth estimation method called IterDepth, which is based on an iterative residual refinement network. IterDepth extracts depth features from consecutive frames and computes a 3D cost volume measuring the difference between current and previous features transformed by PoseCNN (pose estimation convolutional neural network). We reformulate depth prediction as a residual learning problem, revamping the dominating depth regression to enable high-accuracy multi-frame monocular depth estimation. Specifically, we design a gated recurrent depth fusion unit that seamlessly blends depth features from the cost volume, image features, and the depth prediction. The unit updates the hidden states and refines the depth map through iterative refinement, achieving more accurate predictions than existing methods. Our experiments on the KITTI dataset demonstrate that IterDepth is $7\times $ faster in terms of FPS (frames per second) than the recent state-of-the-art DepthFormer model with competitive performance. We also test IterDepth on the Cityscapes dataset to showcase its generalization capability in other real-world environments. Moreover, IterDepth can balance accuracy and computational efficiency by adjusting the number of refinement iterations and performs competitively with other CNN-based monocular depth estimation approaches. Source code is available at https://github.com/PCwenyue/IterDepth-TCSVT.
Impact of heavy metal residues on the diversity of bacteria isolated from a few water points in areas of agricultural activity

A study aimed at evaluating the impact of heavy metal residues on the diversity of bacteria of the Vibrio and Salmonella genera in surface and groundwater in agricultural activity zones was conducted from January to July 2021. The microorganisms sought were the bacteria of the Vibrio and Salmonella genera. These bacteria were isolated from twelve (12) groundwater points and four (04) surface water points by the surface spreading technique and that of filter membranes on Thiosulfate Citrate Bile Sucrose (TCBS) and Salmonella - Shigella media. (SS) for Vibrio and Salmonella respectively. Some abiotic parameters like heavy metals (Lead, Mercury, etc.) were evaluated using the usual techniques. The results show variations in the concentrations of certain heavy metals such as zinc and copper. The most identified heavy metals are zinc (59%) and copper (40%), which would be due to the use of agricultural inputs in this area. Bacteriological analyzes revealed that these waters have a high and varied bacterial load. Densities of pathogenic bacteria reached an average of 4.10 2 CFU/100mL for Vibrio and 7.32. 10 3 CFU/100mL for Salmonella. These germs can be at the origin in this commune of the epidemics of cholera and typhoid. Highly significant correlations (P<0.01) between bacterial abundances and copper were observed. The degradation of the quality of these waters is caused by their proximity to sources of pollution. According to European Union standards, these waters are not recommended for human consumption without any prior treatment.
Profile of Student Learning Outcomes on the Concept of Sorting Numbers with a Realistic Mathematcs Education

This study aims to determine the profile of student learning outcomes on the concept of sequencing numbers with a Realistic Mathematics Education in grade I SD Muhammadiyah Ambon. The type of research used in this study is Descriptive Quantitative, which is research that aims to obtain data and describe the profile of student learning outcomes. The subjects of this study were all grade I students of SD Muhammadiyah Ambon, totaling 30 people. The variable used in this study is a single variable, namely the profile of student learning outcomes. The instruments used in data collection are test questions and observation guidelines. Data analysis is carried out descriptively, namely calculating the average score and percentage of completion of learning students. The results of the analysis show that it can be concluded that, on average, learning outcomes using the Realistic Mathematics Education achieved quite maximum student learning outcomes. Based on the results of the analysis of students' initial test scores, the average score was 58.33 with a percentage of completion as much as (26.67 percent) and increased in the final test results to 88.33 with a complete percentage of 93.33 percent. The number of students who achieved a minimum completion score on the initial test amounted to 8 students and increased in the final test by 28 students
Constraints of the entropic index of Tsallis statistics in the context of hadronic collisions at ultra high energies using measures of the depth of maximum of air showers

Cosmic rays of ultra-high energy are one of the great puzzles of modern physics. So far their production mechanisms, sources, chemical composition and abundances as a function of energy are unknown. One can infer the primary mass composition from the depth of maximum, Xmax, of the longitudinal development of air showers induced by cosmic rays. Measurements of the evolution of this observable as a function of energy performed by the Pierre Auger Collaboration indicate the presence of a heavier component in the absence of new physics in the range of 100 TeV at the center of mass frame . These results are sensitive to the dynamics of the first interaction and depend on the validity of the hadronic interaction models extrapolated from data at lower energies. Additionally, recent data from the Large Hadron Collider (LHC) at CERN, for p− p and A-A collisions at center of mass energy ∼ TeV indicate a significant increase on the multiplicity of hadrons produced with respect to the multiplicity predicted by models generally used. This result, as well as the transverse momentum distribution of the particles produced in the collision are parameterized by the Tsallis distribution favoring a thermodynamic/statistical interpretation of the hadronization process. In this work we constrain the values of the entropic index q of the Tsallis model by comparing its Xmax predictions with measurements performed by the Pierre Auger Collaboration, under the assumption of a proton primary composition.
Perceptions of Brazilian young adults about cooking

Introdução: Cozinhar em casa pode promover uma alimentação mais saudável. Porém, uma possível redução na transmissão de conhecimentos e habilidades culinárias parece prejudicar a confiança e a autonomia dos jovens para preparar as refeições. Para informar o desenvolvimento de iniciativas que apoiem os adultos jovens a superar as barreiras para cozinhar e melhorar a qualidade da dieta, é importante investigar o processo de socialização culinária no contexto de seu próprio curso de vida. Objetivo: Este estudo qualitativo teve como objetivo explorar como adultos jovens que têm o hábito de cozinhar percebem seu envolvimento com essa prática e identificar quais agentes socializadores culinários fizeram parte de seu processo de aprendizagem. Método: Entrevistas abertas baseadas na abordagem da perspectiva do curso de vida foram realizadas com adultos jovens brasileiros de 19 a 24 anos de ambos os sexos e analisadas tematicamente. Resultados: As percepções sobre cozinhar e sobre aprender a cozinhar levaram à criação de seis temas: (1) “Cuidar de mim”; (2) “Sentimentos (des)agradáveis”; (3) “Promover o convívio”; (4) “Preocupação com os resultados”; (5) “Habilidades necessárias”; e (6) “Agentes de socialização”. Conclusões: As iniciativas para permitir que os adultos jovens superem as barreiras para cozinhar e potencialmente melhorar a qualidade da dieta precisam se concentrar não apenas no desenvolvimento prático de habilidades culinárias, mas também em habilidades alimentares, como planejamento. Também é importante fomentar mensagens positivas envolvendo autocuidado, prazer e convívio. Formas de usar a internet e as mídias sociais para engajar essa população a cozinhar mais merecem ser mais bem exploradas.
Pengaruh Faktor Makroekonomi terhadap Pembiayaan Bermasalah

The purpose of this research was conducted to determine and test the influence of macroeconomic factors in the form of inflation, BI Rate and exchange Rate (kurs) toward non performing financing. Population in this research is the Islamic Banking industry in Indonesia among 2010-2016. The sampling technique used is purposive sampling where the sample is selected based on the criteria determined by the writer.The data used is secondary data sourced from the official website of each Islamic Banking.To know the influence of inflation, BI Rate and exchange Rate (kurs) toward non performing financing this research used eviews as statistical research tool. The research method used descriptive method with quantitative approach. This research used panel regression analyst model performance by using the four classical assumption which are normality, multicollinearity, autocorrelation and heteroscedasticity.The results show inflation has a positive impact and not significant on non performing financing (NPF), BI Rate and exchange Rate (kurs) have positive and significant effect on non performing financing (NPF). Key word s: Inflation, BI Rate, Exchange Rate, Non Performing Financing (NPF) JELclassificationis : E44, G01, G21, G28, G32
Educational Migration Trends Review in Poland (with Particular Emphasis on the Immigration of Ukrainian Youth)

This article aims to review and synthesise research on educational migration in Poland, particularly youth immigration from Ukraine. The paper collects statistical data from 2004, which allowed for the analysis of the existing trends in educational migration in Poland. The research on the largest group of foreign students – citizens of Ukraine – was reviewed, which resulted in identifying research gaps regarding student mobility in Poland, both in terms of demand and supply of educational migrations. The practical implication appears to show that the governments of the host countries, the business sector, and the academic units – due to the increase in the number of foreign students – can expect positive effects in the form of obtaining qualified human capital for the local labour market and the improvement of the demographic situation, provided that foreign students remain in the country and the family there.