Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Destination Image in Building Loyalty of Halal Tourism Destinations: Satisfaction as Mediating Variable

The purpose of this study was to determine the effect of cultural image, environmental image and socio-economic image on the satisfaction of tourists visiting the destination area in the city of Padang. The population in this study are tourists who visit tourist destinations in the city of Padang. Sampling in this study used a convenience sampling technique, namely any tourist who happened to meet the researcher, while each sampling was done randomly. The number of samples in this study were 150 respondents. The data analysis technique used in testing the hypothesis of this research is the use of the Partial Least Square (PLS) program. The results of the study found that cultural, environmental and socio-economic images had a significant effect on the satisfaction of tourists visiting tourist destinations in the city of Padang. The satisfaction has a significant effect on destination loyalty. Tourist satisfaction is influenced by cultural image, environmental image and socio-economic image by 63.5%. The higher the R-square value, the greater the ability of the independent variable to explain the dependent variable so that the structural equation is better.
Preliminary Study: Sleep Duration and Sleep Quality in Male College Students

College students are in the period of transition from adolescence to adulthood. This transition period can bring some obstacles for them, for example, disruption in sleeping pattern. According to Tsai & Li (2004), emerging adults usually have sleep deprivation. Another recent study found that college-age teens or emerging adults do have changes in sleep patterns (Lund, Reider, Whiting, & Prichard, 2010). Those emerging adults tend to stay up late and then delay waking up-time. Based on the initial interview, many students complaint that sleep later affects their academic performance, for instance, being late to the class; daytime sleepiness; and difficulties in paying attention in the class. Thus, we would like to examine the relationship between the duration of sleep with sleep quality. The result shows that there was a significant and negative correlation between sleep duration and sleep quality, which means that the sleep quality was slightly determine by how long someone sleeps. Besides, only 5% of the respondents are not using their gadget before bed. The use of gadget affects sleep difficulties and lead to poor sleep quality. Thus, the result of this research will be used as our initial data to study further
Flow impact on granular force chains and induced instability

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Flow impact on granular force chains and induced instability A. Wautier, Stefano Bonelli, Frédéric Nicot
Symbolic Sequence Classification in the Fractal Space

Sequence classification has a range of applications and attracted a lot of attentions. Different from feature vectors, symbolic sequences have no explicit features. Due to this limitation, even with sophisticated feature selection techniques, the dimension of potential feature space could be very high, making classification methods hard to capture the nature of sequences. In this paper, we propose a novel scheme that first constructs a new lower dimensional representation space for symbolic sequences. Next, we carry out learning in this newly generated space rather than on the sequences. The first step is implemented with a chaos game representation, which converts a long sequence into a graphical form by applying an iterated function system on the input. For this reason, this new target space is referred as “fractal space” in this paper. The second step consists of carrying out sequence comparison and quantitative analysis with an alignment-free measure based on the holistic features from the sequences. This scheme is highly flexible and could permit high-performance implementation. The experimental results demonstrate the effectiveness and efficiency of our proposed approach.
Recent Advances in Extracellular Vesicles in Amyotrophic Lateral Sclerosis and Emergent Perspectives

Amyotrophic lateral sclerosis (ALS) is a severe and incurable neurodegenerative disease characterized by the progressive death of motor neurons, leading to paralysis and death. It is a rare disease characterized by high patient-to-patient heterogeneity, which makes its study arduous and complex. Extracellular vesicles (EVs) have emerged as important players in the development of ALS. Thus, ALS phenotype-expressing cells can spread their abnormal bioactive cargo through the secretion of EVs, even in distant tissues. Importantly, owing to their nature and composition, EVs’ formation and cargo can be exploited for better comprehension of this elusive disease and identification of novel biomarkers, as well as for potential therapeutic applications, such as those based on stem cell-derived exosomes. This review highlights recent advances in the identification of the role of EVs in ALS etiopathology and how EVs can be promising new therapeutic strategies.
Single Image Depth Level Estimation Using Dark Channel Prior

In this paper, we present a simple image depth level estimation algorithm. From the dark channel prior theory, an estimate of the air transmittance in the image is calculated. In wild surveillance, the disparity in the image poses a huge challenge for smoke detection and other video analysis tasks. Appropriate depth level estimation provide significant prior knowledge for subsequent identification and detection. For landscape images, we can approximate the air transmittance to depth information for histogram analysis. The depth value is segmented by a multi-threshold segmentation algorithm, and the resulting image can be used for forest fireworks detection and the like. This method does not rely on samples and classifiers, and the algorithm does not require training. The final experimental results show that the depth level estimation of a single landscape image based on the dark channel prior can achieve good results.
Regional $H_{\infty }$ Synchronization of Identical Linear Multiagent Systems Under Input Saturation

This paper addresses the local synchronization problem of identical linear multiagent systems subject to input saturation constraints and exogenous disturbances with a guaranteed region of attraction. A dynamic output feedback controller is proposed, while the information exchanged through the network is the relative input mismatch of each agent with respect to the neighbors. Using a suitable incremental sector condition, we cast the synchronization of multiagent systems with a general undirected topology in terms of bilinear matrix inequalities. Based on a multistep convex controller design procedure, the effectiveness of the theoretical results is demonstrated through numerical simulations of a fleet of quadrotors.
Microalbuminuria in subclinical target organ damage and its correlation to creatinine clearance ratio in hypertension

Background: Target organ damage takes place early in course of hypertension. But, despite this, the disease remains inadequately controlled in majority of patients partly because of its asymptomatic nature. With incidence of hypertension on the rise, there have not been adequate studies in our country linking hypertensive target organ damage with microalbuminuria and creatinine clearance especially in asymptomatic patients. Aims: To find the relationship between microalbuminuria and reduced creatinine clearance with subclinical target organ damage in asymptomatic primary hypertensive patients. Material & Methods: 60 hypertensive patients were evaluated for mild renal dysfunction defined as 24 hour urine albumin (UA) > 30 mg/d and/or Creatinine Clearance (CCR) < 60 ml/min/1.73m2. Target organ damage evaluated were retinopathy (direct fundoscopy) and Left ventricular hypertrophy (2D ECHO). Â Results: There was significant association between microalbuminuria (30 %) and reduced creatinine clearance (38%) with target organ damage i.e. left ventricular hypertrophy [p < 0.001 & p 0.001 respectively] and hypertensive retinopathy [p 0.005 & p 0.03 respectively]. Patients with urine microalbumin had 30 times risk [95% CI: 3.6-253,p 0.001] and those with reduced creatinine clearance had 5.9 times the risk [95% CI: 1.7-19.4, p 0.0035] of developing target organ damage. But when present together the risk increased to 39.4 times [95% CI: 2.2-703, p 0.0124]. Conclusions: Results show that a reduction in creatinine clearance and/or presence of microalbuminuria is a marker of subclinical organ damage in patients with primary hypertension. Microalbuminuria showed better association with target organ damage than reduced creatinine clearance. KEYWORDS: Microalbuminuria; Mild renal dysfunction; Primary hypertension; Subclinical; Retinopathy; Target organ damage.
Subset Selection in Regression

OBJECTIVES Prediction, Explanation, Elimination or What? How Many Variables in the Prediction Formula? Alternatives to Using Subsets 'Black Box' Use of Best-Subsets Techniques LEAST-SQUARES COMPUTATIONS Using Sums of Squares and Products Matrices Orthogonal Reduction Methods Gauss-Jordan v. Orthogonal Reduction Methods Interpretation of Projections Appendix A: Operation Counts for All-Subsets Regression FINDING SUBSETS WHICH FIT WELL Objectives and Limitations of this Chapter Forward Selection Efroymson's Algorithm Backward Elimination Sequential Replacement Algorithm Replacing Two Variables at a Time Generating All Subsets Using Branch-and-Bound Techniques Grouping Variables Ridge Regression and Other Alternatives The Non-Negative Garrote and the Lasso Some Examples Conclusions and Recommendations HYPOTHESIS TESTING Is There any Information in the Remaining Variables? Is One Subset Better than Another? Appendix A: Spjftvoll's Method - Detailed Description WHEN TO STOP? What Criterion Should We Use? Prediction Criteria Cross-Validation and the PRESS Statistic Bootstrapping Likelihood and Information-Based Stopping Rules Appendix A. Approximate Equivalence of Stopping Rules ESTIMATION OF REGRESSION COEFFICIENTS Selection Bias Choice Between Two Variables Selection Bias in the General Case, and its Reduction Conditional Likelihood Estimation Estimation of Population Means Estimating Least-Squares Projections Appendix A: Changing Projections to Equate Sums of Squares BAYESIAN METHODS Bayesian Introduction 'Spike and Slab' Prior Normal prior for Regression Coefficients Model Averaging Picking the Best Model CONCLUSIONS AND SOME RECOMMENDATIONS REFERENCES INDEX
A local RBF collocation method for band structure computations of 2D solid/fluid and fluid/solid phononic crystals

In this paper, an efficient local radial basis function collocation method (LRBFCM) is presented for computing the band structures of the two‐dimensional (2D) solid/fluid and fluid/solid phononic crystals. Both systems of solid scatterers embedded in a fluid matrix (solid/fluid phononic crystals) and fluid scatterers embedded in a solid matrix (fluid/solid phononic crystals) are investigated. The solid–fluid interactions are taken into account by properly formulating and treating the continuity/equilibrium conditions on the solid–fluid interfaces, which require an accurate computation of the normal derivatives of the displacements and the pressure on the fluid–solid interfaces and the unit‐cell boundaries. The developed LRBFCM for the mixed wave propagation problems in 2D solid/fluid and fluid/solid phononic crystals is validated by the corresponding results obtained by the finite element method (FEM). To the best knowledge of the authors, the present LRBFCM has yet not been applied to the band structure computations of 2D solid/fluid and fluid/solid phononic crystals. For different lattice forms, scatterers' shapes, acoustic impedance ratios, and material combinations (solid scatterers in fluid matrix or fluid scatterers in solid matrix), numerical results are presented and discussed to reveal the efficiency and the accuracy of the developed LRBFCM for calculating the band structures of 2D solid/fluid and fluid/solid phononic crystals. A comparison of the present numerical results with that of the FEM shows that the present LRBFCM is much more efficient than the FEM for the band structure computations of the considered 2D solid/fluid and fluid/solid phononic crystals. Copyright © 2016 John Wiley & Sons, Ltd.
Association Between Problematic Internet Use and Health Risks in Adolescents With and Without Chronic Health Conditions

Background. Sedentary and unhealthy lifestyle behaviors are modifiable health risks that often develop during adolescence. A comprehensive analysis of unhealthy behaviors in adolescents with and without chronic health conditions (CHC) could inform the development of more effective prevention approaches. The aim. This study aimed to measure associations between Problematic Internet Use (PIU), lifestyle habits and subjective health complaints among adolescents with and without CHC. In addition, health behaviors and prevalence of subjective health complaints between adolescents with and without CHC were compared. Methods. A total of 171 adolescents (87 without CHC and 84 with CHC) completed an online survey. The PIU was assessed by the Problematic and Risky Internet Use Screening Scale. The subjective health complaints assessed were somatic and psychological symptoms. Healthy lifestyle behaviors assessed were daily physical activities, time spent by screens, eating habits, and duration of sleep. Results. The results showed that 21.83% of adolescents with CHC and 36.78% without CHC scored at risk for problematic internet use. Adolescents without CHC reported significantly more frequent psychological health complaints than their peers with CHC. This study found that multiple health complaints and unhealthy eating habits were significantly associated with PIU in adolescents with CHC, while nervousness and eating fast food in adolescents without CHC. Girls without CHC reported significantly higher PRIUSS scores and prevalence of subjective health complaints than boys (p <.05). Conclusions. Adolescents without CHC reported significantly higher levels of moderate and vigorous intensity physical activities weekly than their peers with CHC. PIU behaviors are mainly associated with psychological health complaints and unhealthy eating behaviors in adolescents with and without CHC. These findings highlight the need to identify the specific problematic internet use activities that are associated with different health risks in adolescents. Keywords: problematic internet use, chronic health conditions, lifestyle behaviors, health, adolescents.
A Comprehensive Review and Performance Evaluation of Bidirectional Charger Topologies for V2G/G2V Operations in EV Applications

Vehicle-to-grid (V2G) is a promising technology that allows electric vehicles (EVs) to function as distributed energy resources (DERs), assisting peak load shaving, reactive power assistance, load balancing, and power stability. The V2G technology increases the demand for bidirectional power flow between the EV battery and ac grid. It can be realized with the help of bidirectional power electronic converters. This article presents a comprehensive review of bidirectional power factor correction (PFC) and dc–dc converter topologies for V2G/grid-to-vehicle (G2V) operation. The performance of each considered converter topology is evaluated using a hardware-in-the-loop (HIL) setup at low-power and high-power operating conditions. The performance of PFC topologies is verified by evaluating the total harmonic distortion (THD) of the grid current. Furthermore, a comparative analysis of the presented converter topologies is carried-out considering efficiency and THD. This article is intended to be a helpful resource for selecting suitable bidirectional chargers.
Isolation and Extraction of Monomers from Insoluble Dietary Fiber

Insoluble dietary fiber is a macromolecular polysaccharide aggregate composed of pectin, glycoproteins, lignin, cellulose, and hemicellulose. All agricultural by-products contain significant levels of insoluble dietary fiber. With the recognition of the increasing scarcity of non-renewable energy sources, the conversion of single components of dietary fiber into renewable energy sources and their use has become an ongoing concern. The isolation and extraction of single fractions from insoluble dietary fiber is one of the most important recent research directions. The continuous development of technologies for the separation and extraction of single components is aimed at expanding the use of cellulose, hemicellulose, and lignin for food, industrial, cosmetic, biomedical, and other applications. Here, to expand the use of single components to meet the new needs of future development, separation and extraction methods for single components are summarized, in addition to the prospects of new raw materials in the future.
The Day‑of‑the‑Week Anomaly in Light of the COVID–19 Pandemic on an Example of Selected OMX Indices

This paper analyzes market efficiency (EMH) with the day‑of‑the‑week effect and the changes that might appear after the outbreak of the COVID–19 pandemic, based on the example of the OMX Exchange and its indices. Before the pandemic, only the OMX Baltic All‑share index was efficient; during the COVID–19 pandemic, the OMXCPI Index, which represents the Copenhagen stock market, was not affected by the day‑of‑the‑week anomaly. The change in market efficiency was observed in relation to the periods before and during the pandemic, and additionally between specific days of the week. The value added of this paper is related to the evidence that COVID–19 influenced market efficiency but not the quality of trading.
The Work of a Normal Force

It is shown that an impulsive force acting on a particle perpendicular to its velocity vector cannot change its direction of motion without increasing its kinetic energy. If the particle’s kinetic energy is to remain unchanged, the impulsive force must have a component in the direction opposite to the direction of motion. This situation is also realized in the case of a continuous force acting perpendicular to the velocity vector of the particle, when the particle's motion is viewed as a sequence of infinitesimal steps.
Orthogonal Modes using Prolate Spheroidal Wave Function in Holographic Communication Systems

Beyond 5G (B5G) communication systems refer to the sixth generation (6G) of mobile communication which is expected to offer speeds up to 100 times faster than the current 5G communication systems. In addition, 6G communication systems are expected to use more advanced spectrum such as Terahertz (THz) or millimeter Wave (mmWave) communication, allowing for much higher data rates. Holographic communication involving Large Intelligent surfaces (LIS) is an optimal and efficient way of communication for 6G or B5G. It ensures effective and precise communication of data from transmitter to receiver. It is considered to be the ultimate form of wireless communication, using large antennas operating at THz frequencies in the Fresnel region (radiating near-field). In this paper, the region or boundary for large size antenna surfaces are explored. In comparison to traditional MIMO (Multiple Input Multiple Output) systems, it is possible to exploit Degrees of Freedom (DoF) values greater than 1 even in strong Line of Sight (LoS) channel conditions, resulting in a notable increase in spatial capacity, particularly when operating at THz or mmWaves range. The Prolate Spheroidal Wave Function (PSWF) and Ultra-Wideband (UWB) Pulse Shapes are used to generate Orthogonal Modes. The time-limited and broad bandwidth characteristics of the orthogonal signal waveforms make the PSWF a great asset in the design of UWB pulse-shapes. The use of Legendre polynomials yields modes that are mutually Orthogonal. By utilizing Holographic communication systems, the capacity of a channel can be enhanced when compared to classical communication systems.
On some nonlinear hyperbolic p(x,t)-Laplacian equations

Abstract This paper is devoted to study the global existence of solutions of the hyperbolic Dirichlet equation u t ⁢ t = L ⁢ u + f ⁢ ( x , t ) in ⁢ Ω T = Ω × ( 0 , T ) , u_{tt}=Lu+f(x,t)\quad\text{in }\Omega_{T}=\Omega\times(0,T), where L is a nonlinear operator and ϕ ⁢ ( x , t , ⋅ ) {\phi(x,t,\cdot\,)} , f ⁢ ( x , t ) {f(x,t)} and the exponents of the nonlinearities p ⁢ ( x , t ) {p(x,t)} and μ ⁢ ( x , t ) {\mu(x,t)} are given functions.
Minimal and Maximal Models in Reinforcement Learning

Each test gives us one property which we will denote as test result. The extension of that property we will denote as the test property. This raises the question about the nature of that property. Can it be a property of the state of the world? The answer is both yes and no. For a random model of the world the answer is negative, but if we look at the maximal model of the world the answer would flip to positive. There can be various models of the world. The minimal model knows about the past and the future the indispensable minimum. Conversely, in the maximal model the world knows everything about the past and the future. If you threw a dice the maximal model would know which side will fall up and would even know what you will do. For example, it would know whether you will throw the dice at all.
Sharing Perceptual Experiences through Language

The aim of this article is to shed light on how sensory perceptions are communicated through authentic language. What are the language resources available to match multimodal perceptions, and how do we use them in real communication? We discuss insights from previous work on the topic of the interaction of perception, cognition, and language and explain how language users recontextualise perception in communication about sensory experiences. Within the framework of cognitive semantics, we show that the complexities of multimodal perception are clearly reflected in the multifunctional use of words to convey meanings and feelings. To showcase the language resources employed, we base our findings on research on how architects convey their perceptions of built space. Two main patterns emerge: they use multimodal expressions (soft, bland, and jarring) and descriptions of built space through motion (the building reaches out, or routes and directions such as destination, promenade, route, or landscape in combination with verbs such as start and lead) in which case the architect may either be the observer or the emerged actor. The important take-home message is that there is no neat and clear a priori link between words and meanings, but rather “unforeseen” patterns surface in natural production data describing sensory perceptions.