Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of Reality Therapy and Mindfulness-Based Cognitive Therapy in Academic Meaning and Academic Emotions of Procrastinating Students

Background: Procrastination is considered an obstacle to academic progress because increasing stress and negative consequences in the academic life of students reduce the quality and quantity of academic success. Objectives: The aim of the present study was to compare the effectiveness of reality therapy and mindfulness-based cognitive therapy (MBCT) in the academic meaning and academic emotions of procrastinating students. Methods: The current study was an experimental study with a pre-post-test design. The study population included all undergraduate students of Payam Noor University, Bostanabad, East Azerbaijan province, Iran, in the academic year 2020-2021. The sample size included 45 subjects who were selected from the eligible students and divided into three groups based on random allocation using Random Number Generator software (version 1.3). The first experimental group received mindfulness training for 8 one-hour sessions, and the second experimental group received 8 one-hour sessions of reality therapy. Nevertheless, the control group did not receive any intervention. It should be noted that after the end of the study, a compressed combination of interventions was taught to the control group. To collect the data, questionnaires on procrastination (Tuckman, 1991), educational meaning (Henderson-King and Smith, 2006), and Pekrun’s academic emotions (Pekrun et al., 2002) were used. Finally, the collected data were analyzed using multivariate analysis of covariance (MANCOVA) and SPSS software (version 25). Results: The results of MANCOVA showed that both MBCT and reality therapy had significant effectiveness in increasing positive emotions and academic meaning and reducing negative emotions compared to the control group (P < 0.01). Additionally, comparing the effectiveness of interventions showed that MBCT was more effective in increasing positive emotions than reality therapy (P < 0.01). Conclusions: Mindfulness-based cognitive therapy was more effective in increasing positive emotions and academic meaning than reality therapy. However, the present findings show a promising perspective. Therefore, university and school counseling centers can pay attention to the role of mindfulness interventions and reality therapy in the academic emotions and academic meaning of students.
Seasonal Characteristics of Extreme Temperature Changes in Qilian Mountains and Hexi Corridor During Last Fifty Years

Based on daily temperature data of 18 meteorological stations in Qilian Mountains and Hexi Corridor from 1960 to 2009,the seasonal characteristics of extreme temperature change were analyzed by methods of linear trend,Morlet wavelet and Mann-Kendall.The results indicate that extreme high temperature days in each season are on the rise significantly,especially increased with larger scales after the middle of 1980s.But that is contrary to extreme low temperature days,which decreased with larger scales after the middle of 1980s in spring and summer,and decreased after the middle and later of 1960s in autumn and winter.The changing scale of extreme temperature days is the largest in winter,and the changes of them are before ten years in winter than in other seasons,which indicated that the significant change of extreme temperature days took place in winter firstly.The cycle changes of extreme temperature days in different seasons are different,but they are grouped in 6-10 a、12-16 a and 18-22 a.The major cycle of extreme high temperature days in spring,summer,autumn and winter are changing respectively with 8 a、14 a、16 a and 16 a,and that of extreme low temperature days are changing respectively with 14 a、16 a、14 a and 6 a.The mutation of extreme high temperature days in spring,summer,autumn and winter increased in 2002、1997、1994、1986,respectively,but that of extreme low temperature days decreased in 2002、1997、1987、1986,respectively.Except autumn,the abrupt changes of extreme high temperature days and extreme low temperature days in other seasons are coincident.The response to global warming of extreme temperature days is earlier in autumn and winter than that in spring and summer.The change of extreme temperature days will bring some effect to the Qilian Mountains and Hexi Corridor.The increase of extreme high temperature days will add pressure of preventing fire for forest and grasslands in Qilian Mountains.The decrease of extreme low temperature days will reduce the occurrence frequency of freeze damage,but it will be contribute to destructive insect to crossing the winter,which will cause the disasters of plant disease and insect pest in forest,grasslands and farmland,and it will be a potential threaten for protection of ecology environment and agriculture production.
Smoothed particle hydrodynamics implementation of the standard viscous–plastic sea-ice model and validation in simple idealized experiments

The viscous–plastic (VP) rheology with an elliptical yield curve and normal ﬂow rule is implemented in a Lagrangian modelling framework using the smoothed particle hydrodynamics (SPH) meshfree method. Results show, from a perturbation analysis of SPH sea-ice dynamic equations, that the classical SPH particle density formulation expressed as a function of sea-ice concentration and mean ice thickness leads to incorrect plastic wave speed. We propose a new formulation for particle density that gives a plastic wave speed in line with theory. In all cases, the plastic wave in the SPH framework is dispersive and depends on the smoothing length (i.e., the spatial resolution) and on the SPH kernel employed in contrast to its ﬁnite-difference method (FDM) implementation counterpart. The steady-state solution for the simple 1D ridging experiment is in agreement with the analytical solution within an error of 1 %. SPH is also able to simulate a stable upstream ice arch in an idealized domain representing the Nares Strait in a low-wind regime (5.3 ms − 1 ) with an ellipse aspect ratio of 2, an average thickness of 1 m and free-slip boundary conditions in opposition to the FDM implementation that requires higher shear strength to simulate it. In higher-wind regimes (7.5 ms − 1 ) no stable ice arches are simulated – unless the thickness is increased – and the ice arch formation showed no dependence on the size of particles, in contrast to what is observed in the discrete-element framework. Finally, the SPH framework is explicit, can take full advantage of parallel processing capabilities and shows potential for pan-Arctic climate simulations.
From Symmetry to Complexity: Self-complementary Graphs Unraveled

Self-complementary graphs are an intriguing and significant subject in graph theory. One special quality of these graphs is that they are isomorphic to their own complement. Self-complementary graphs are of tremendous interest to mathematicians, computer scientists, and researchers in other fields because of their fascinating property. The goal of this study is to provide an overview of the structure and features of the class of self-complementary graphs. Directions for future work are also presented.
The relationship between sap flow of intercropped young poplar trees (Populus×euramericana cv. N3016) and environmental factors in a semiarid region of northeastern China

Estimating transpiration of the trees in agroforestry system is important in water management of the site. Sap flow of intercropped fast‐growing young poplar trees and microclimate factors in semiarid northeastern China was measured in two growing seasons (2008 and 2009). Sapwood growth and water storage of wood and leaf increment during the growing season were involved in the calculation of sap flow. The results showed that diurnal variation of sap flow followed to that of short wave solar radiation. Sap flows both in 10 min mean and daily gross values mainly depended on solar radiation and vapor pressure deficit, and the relations well fit hyperbolic function. The regression coefficients of monthly window data indicated that the seasonal variation of sap flow capacities decreased gradually from June to September. Moderate soil water stress of upper soil layer (0–50 cm) did not constrain the sap flow because the trees could use the water at deeper soil layer. The daily sap flow per tree ranged 0.8 to 18.1 and 3.7 to 23.8 kg d−1 tree−1, with averages of 8.7 and 14.3 kg d−1 tree−1 in 2008 and 2009 respectively. An empirical model was established to estimate the sap flow of the poplar trees by solar radiation, vapor pressure deficit, leaf area index and Julian days. Copyright © 2011 John Wiley & Sons, Ltd.
Carboxymethyl Chitosan—Fluoride-doped Amorphous Calcium Phosphate: A Novel Remineralizing Gel

Abstract Background There is a need for innovative remineralizing gel formulations based on calcium and phosphates that can slowly release fluoride ions and enhance the formation of fluorapatite crystals that are more resistant to dissolution in an acidic environment. Aim The aim of the work was to formulate a remineralizing agent that remineralizes enamel through the release of Ca2+, PO₄³–, and F- ions for a prolonged period of time. Materials and methods The gel was based on carboxymethyl chitosan (CMC) as a bioinspired gelling agent and on Fluoride-doped Amorphous Calcium Phosphate (F-ACP) as a remineralizing agent. This gel was tested in vitro on the enamel of extracted premolars after demineralization with methacrylic acid gel. Results When compared to the control group and demineralized enamel group, the enamel slabs remineralized with CMC/F-ACP showed a higher calcium phosphate ratio in Energy-Dispersive X-ray (EDX) and better surface morphology under scanning electron microscope (SEM). Conclusion Remineralization tests performed on demineralized human permanent teeth proved that CMC/F-ACP gel has excellent efficacy, inducing a complete remineralization of the outermost layers of enamel as well as a full restoration of lost mineral content. How to cite this article Nimbeni BS, Nimbeni SB, Divakar DD, et al. Carboxymethyl Chitosan—Fluoride-doped Amorphous Calcium Phosphate: A Novel Remineralizing Gel. Int J Clin Pediatr Dent 2023;16(5):734–739.
Emotion Detection via Voice and Speech Recognition

Emotion detection from voice signals is needed for human-computer interaction (HCI), which is a difficult challenge. In the literature on speech emotion recognition, various well known speech analysis and classification methods have been used to extract emotions from signals. Deep learning strategies have recently been proposed as a workable alternative to conventional methods and discussed. Several recent studies have employed these methods to identify speech-based emotions. The review examines the databases used, the emotions collected, and the contributions to speech emotion recognition. The Speech Emotion Recognition Project was created by the research team. It recognizes human speech emotions. The research team developed the project using Python 3.6. RAVDEESS dataset was also used since it contained eight distinct emotions expressed by all speakers. The RAVDESS dataset, Python programming languages, and Pycharm as an IDE were all used by the author team.
Main Polar Metabolites from Leaves of the Native Andean Species Jungia rugosa Less (Asteraceae)

The ethanolic extract of Jungia rugosa Less, a popular Andean species belonging to the family Asteraceae, was characterized chemically. The extract was deprived of chlorophyll by solid-phase extraction, using Diaion Hp-20 resin as solid phase, and eluting with a mixture of EtOH/H2O according to a decreasing polarity gradient. The chlorophyll-free extract was then repeatedly fractionated by open column chromatography in normal phase and preparative thin layer chromatography. Two main metabolites were finally purified and identified through structure elucidation. Nuclear magnetic resonance spectroscopy (NMR) and electrospray ionization-mass spectrometry (ESI-MS) were the 2 techniques used for analysis. The identified metabolites were coumarins: (1) umbelliferone and (2) coumarin-5- methyl-4α-glucoside. Compound 1 is known in the literature for having anti-inflammatory, antihyperglycemic, and antitumor activities. Compound 2 has not been described before for this botanical genus and its pharmacological effects are still uninvestigated. Keywords: Jungia rugosa, umbelliferone, coumarin-5-methyl-4-glucoside, NMR, ESI-MS, Ecuador. Resumen Se caracterizó químicamente el extracto etanólico de Jungia rugosa Less, una popular especie andina perteneciente a la familia Asteraceae. Se eliminó las clorofilas al extracto mediante extracción en fase sólida, utilizando como fase sólida resina de Diaion Hp-20 y eluyendo con una mezcla de EtOH/H2O según un gradiente de polaridad decreciente. El extracto libre de clorofila se fraccionó repetidamente mediante cromatografía en columna abierta en fase normal y cromatografía en capa fina preparativa. Finalmente, se purificaron e identificaron dos metabolitos principales mediante la elucidación de la estructura. Se utilizaron espectroscopía de resonancia magnética nuclear (RMN) y espectrometría de masas de ionización por aspersión de electrones (ESI-MS). Los metabolitos identificados fueron las cumarinas: umbeliferona (1) y cumarina-5-metil-4α-glucósido (2). El compuesto 1 es conocido en la literatura por tener actividad antiinflamatoria, antihiperglucémica y antitumoral. El compuesto 2 no se ha descrito antes para este género botánico y sus efectos farmacológicos aún no se han investigado. Palabras Clave: Jungia rugosa, umbeliferona, cumarina-5-metil-4-glucósido, RMN, ESI-MS, Ecuador.
Bright‐band detection from radar vertical reflectivity profiles

The use of quantitative scanning weather radar for precipitation measurements is a vital element of modern hydrology and limits the development of all distributed models of catchment behaviour. The presence of the so‐called bright band (or melting layer) contaminates the quantitative precipitation estimates and has delayed the widespread take‐up of radar‐based precipitation estimates in operational models. The study of the Vertical Reflectivity Profile (VRP) of precipitation is important in order to develop algorithms to correct scanning weather radar measurements for the variation of the VRP at long ranges. Therefore, this paper presents an algorithm to detect the extent of the bright band using high‐resolution VRP's. The boundaries of the bright band are identified by a new algorithm which utilizes a rotational coordinate system for identifying the upper and lower parts of the bright band. This overcomes some of the difficulties experienced when using the gradient of the reflectivity in conventional bright‐band detection algorithms. The reflectivities above, within, and below the bright band are then used to construct idealized VRP's to correct scanning weather radar measurements.
Tracing the Characteristics and Consequences of Luxury Through a Review of Literature

Purpose: The academic interest in ‘luxury’ as a concept may be traced to Veblen’s seminal work “Theory of the Leisure Class”, where he argues that wealthy individuals often consume luxury for purposes signalling status. This premise created numerous research work on answering questions such as – how does one identify a brand as luxury, what characteristics typify a luxury brand, how does a luxury marketer achieve these characteristics, what benefits do consumers seek from luxury, and finally, what are the consequences of luxury consumption for the consumer and to the society. This paper explores answers to these questions through an in-depth review of literature. Theoretical Framework: The scoping for the review of literature was carried out by applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Design Methodology and Approach: Keywords like ‘luxury management’, ‘luxury consumer’, ‘luxury definition’ and ‘luxury brand’ were searched on prominent databases (EBSCO, Emerald, JSTOR, ProQuest and Google Scholar). The relevant papers were reviewed and cross referred to ensure comprehensiveness of the review of literature. The arguments and evidences from over 50 research papers (primarily between 1995-2023) have been stitched to create the conceptual model proposed in the paper. The literature reviewed and were categorized as a) research which discuss and propose the typifying characteristics of luxury, b) research which examined the consequences of luxury consumption to the society and to the consumer and c) research expounding the distinct approach required for managing luxury brands. By connecting the evidences from extant literature, this paper proposes a model that traces the characteristics of luxury (and the antecedent or source of the characteristic) with its corresponding benefits and consequences. Finally, the specificities of luxury management that arise from the characteristics and consequences have been explored and discussed. Research, Practical and Social Implications: Elaborating on the features of luxury provides scholars and researchers with a basis for deriving operational definitions in future research. Moreover, by mapping the connection between the characteristics of luxury and their associated benefits and consequences, the research offers luxury marketers practical insights for effectively managing and cultivating robust luxury value. Originality Value: The article consolidates existing literature to create a concise conceptual model, offering novel viewpoints on luxury and luxury marketing.
A research review on soil active organic carbon

Soil active organic carbon is the most important carbon pool in soil,due to its active characters and fast turnover.It has great significance in the study of soil carbon cycling and carbon interception,and is a good indicator in ecosystem management.Generally,it originates from litter decomposition,plant root secretion,soil organic matter hydrolysis,microbes themselves and their metabolic products,and is affected by season,humidity,land use/ land management pattern,and soil pH,etc.It greatly affects the solution,adsorption,desorption,translocation,and biotoxicity of soil chemical substances,and thus,has strong influences on soil nutrients flux,heavy metals mobility,metal complexes formation,and inherent productivity.In addition,the content of this carbon directly affects the quantity and activity of soil microbes,and accordingly,affects the greenhouse gases emission and its regulation,the quality of aquatic ecosystem,and the erosion process of lithosphere.To further study the dynamics of soil active organic carbon is of significance for environmental protection and nutrients cycling.
Spatial Pattern of Domestic Traveling of Rural Residents in China

Traditional researches have looked into rural areas and rural residents from "supply" perspectives when whose "demand" roles are often bypassed.So this article examines the basic spatial patterns from static scales with ternary graph method,RA index,dominant flow analysis.Then,directional bias is brought into focus on the spatial diffusion behavior from dynamic perspectives.The four principal observations are verified with the case study of the Chinese rural residents.Some interesting conclusions are generated:1) Because of restrictions of discretionary income,rural residents take on a high tendency to travel in the province where they lived.The proportion of intra-regional is far low than the West Europe and more or less parallels with the average level of the world.2)Inter-provincial travelers mainly flow to Jing-Jin-Liao area,Su-Zhe-Hu area,Yue-Qiong area and Shaanxi area.3)The vast central and west areas of China become catchment areas with the tourist flows concentrated from bottom to up,and then the tourist flows diffuse in the east parts of China with the main spatial diffusion firstly pointing to cities followed by the second pointing type,i.e.seaside pointing.
Covariance Matrix Recovery From One-Bit Data With Non-Zero Quantization Thresholds: Algorithm and Performance Analysis

Covariance matrix recovery is a topic of great significance in the field of one-bit signal processing and has numerous practical applications. Despite its importance, the conventional arcsine law with zero threshold is incapable of recovering the diagonal elements of the covariance matrix. To address this limitation, recent studies have proposed the use of non-zero clipping thresholds. However, the relationship between the estimation error and the sampling threshold is not yet known. In this article, we undertake an analysis of the mean squared error by computing the Fisher information matrix for a given threshold. Our results reveal that the optimal threshold can vary considerably, depending on the variances and correlation coefficients. As a result, it is inappropriate to adopt a constant threshold to encompass parameters that vary widely. To mitigate this issue, we present a recovery scheme that incorporates time-varying thresholds. Our approach differs from existing methods in that it utilizes the exact values of the threshold, rather than its statistical properties, to increase the estimation accuracy. Simulation results, including those of the direction-of-arrival estimation problem, demonstrate the efficacy of the developed scheme, especially in complex scenarios where the covariance elements are widely separated.
The Critical Length is a Good Measure to Distinguish between Stick Balancing in the ML and AP Directions

Seven novice subjects participated in experiments of stick balancing on a linear track in the anterior-posterior (AP) and the medio-lateral (ML) directions. The goal of the experiments was to test how the depth perception in the subjects' AP direction affects balancing performance compared to balancing in the ML direction, where depth perception does not play a role. It is easier to balance longer sticks than shorter ones, therefore balancing performance is measured by the length of the shortest stick that subjects can balance. Subjects were found to be able to balance shorter sticks in the ML direction than in the AP direction: the ratio of the shortest stick lengths in the ML direction relative to the AP direction was in average 0.53. Thus, the additional challenge posed by depth perception in the AP direction is clearly observable. Additionally, repeated trials were carried out for 5 consecutive days to assess the development of balancing skill by using stabilometry analysis. The maximal balance time of the subjects significantly increased with the days of practice.