Miracle-dz/UniFAR-FTUs huggingface dataset:
Customer satisfaction, brand trust and variety seeking as determinants of brand loyalty

Loyalty is without doubt a crucial construct in marketing and has major implications for any businesses, since in the modern world it is not sufficient to merely attract new customers – retention and re-purchase is a key component of success. One of the most common determinants of loyalty is customer satisfaction and although it plays a major role, there are other variables, especially intrinsic to the consumer, which also affect loyalty and repurchase behaviour. This paper shows that customer loyalty can be explained by customer satisfaction, perceived value, trust and variety seeking, and shows the direct and indirect effects among those constructs and other constructs. The model suggested by this study may be seen as an extension of the American/European customer satisfaction index (CSI) model. Within the limitations of the study, the theoretical and managerial implications of these findings are discussed.
A simulation model for evapotranspiration of applied water.

The California Department of Water Resources and the University of California recently developed a weather generator application program SIMETAW to simulate many years of daily weather data from climatic records and to estimate reference evapotranspiration (ETo) and crop evapotranspiration with the simulated data. In addition, simulated daily rainfall, soil water holding characteristics, effective rooting depths, and ETc are used to determine effective rainfall and to generate hypothetical irrigation schedules to estimate the seasonal and annual evapotranspiration of applied water (ETaw), where ETaw is an estimate of the crop evapotranspiration minus any water supplied by effective rainfall. The actual water requirement is estimated by dividing by the application efficiency. Weather generators allow one to investigate how climate change might affect the water demand in California. In this paper, we will discuss how the simulation model uses monthly input data to generate daily weather data over variable periods of record and how ETaw is determined.
Training Recommendations based on Match Characteristics of Professional Singles Tennis

The science of training in professional tennis has significantly increased over the past decades in response to various factors, including increased depth in standard, commercial and competitive pressures, and heavier tournament schedules. In order to be competitive at this level, players must spend many hours of physical conditioning "off court" to complement their hitting and match practice. These areas are not only important to maximizing competitive performance bu t also assist to reduce injuries that may result from the higher stresses of play and the demanding professional tour schedule. Necessary modifications in technique are often difficult to make since the competitive phase lasts almost an entire year, with any missed tournaments resulting in failure to achieve valuable points for rankings. Thus, the principle of specificity should be employed in every training program, to ensure maximum effectiveness and efficiency. The principle of specificity states that training is of the greatest benefit when it reflects the requirements of the actual performance. Consequently, optimal competitive tennis performance would be achieved through a training program that is similar to the characteristics and demands of match play. A number of previous studies have investigated the match characteristics of professional singles tennis. This paper discusses training applications based on these findings in relation to the principle of specificity.
Evidence for an Infectious Etiology in Alzheimer’s Disease

The possibility of an infectious etiology of several chronic diseases, including Alzheimer′s Disease, has long been debated. More than a century ago Alois Alzheimer studied neurological infection with Treponema pallidum, the causative agent of syphilis, a spirochete later associated with dementia (Noguchi and Moore, 1913). There are many chronic diseases for which there is strong evidence of an infectious etiology (see table 1), and numerous chronic diseases for which there is suspicion of infection as the etiologic agent for that disease (see table 2) (Tables 1 and 2 are adapted from a colloquium sponsored by the American Academy of Microbiology from June 2004). Koch’s postulates, that can, in some cases, provide absolute proof that a particular microorganism causes a particular disease, have been invaluable in the prevention and treatment of many diseases as well as in advancing microbiology. However, the postulates do not hold for most chronic diseases of microbial etiology, particularly those occurring late in life. Furthermore, they do not hold true for those of possible viral etiology, or for those that are multi-factorial in origin. In diseases of relatively old age, microbes acting earlier in life might operate by a “hit-andhide” mechanism, or could over time be present at an extremely low level, so that searches for the organism might not reveal the culprit until long after damage has been initiated. In viral diseases and for those involving unique organisms such as obligate intracellular bacteria (eg, Chlamydia), the postulates requiring isolation and growth in pure culture cannot be met completely as these organisms reproduce only within living cells. In multifactorial diseases, a causative organism might not be readily apparent, as other factors may be more prominent. However, absence of evidence is not proof of absence; in several cases when overwhelming experimental evidence was obtained, the pathogen concept had to be accepted even though it had met with great opposition initially. Two examples, among many, are the involvement of viruses in certain types of cancer such as human papillomavirus in cervical cancer, and of the bacterium Helicobacter pylori in stomach ulcers. Alzheimer′s Disease(AD) is a neurodegenerative disease that is considered to be the single most significant cause of dementia in the elderly (Keefover, 1996). There are two major categories of AD, familial and sporadic late-onset. The familial form of AD accounts for approximately 5% of total cases and usually presents in individuals in their 40’s and 50’s. This form of disease is caused by rare mutations in genes associated with β-amyloid
Preliminary Investigation of Comparative Toxic Effects of Locally Formulated and Commercial Demulsifiers on C-Callichytes Fingerlings

Demulsifier is one of the crude oil production chemicals that constitute the contaminants in the resulting produced water that is usually discharged into the marine environment. Most commercial demulsifiers list the toxic effects of individual components of their formulations which on application, may require the addition of one or more other chemicals. The synergic effects of these components in the final products are not usually accounted for. Different concentrations (10, 20, 30, 40, 50, 60 and 70 mg/l) of a typical commercial and locally formulated demulsifiers were application-ready prepared. Each concentration was introduced into an aquarium containing 20 Callichthyes callichthyes fingerlings with an average weight of 9.73 g and observed for 60 hours. The values for 36-hour LC50 of the formulated demulsifier was found to be higher than that of the commercial one Original Research Article Duru et al.; AJOPACS, 5(2): 1-9, 2018; Article no.AJOPACS. 39105 2 by 15.75 mg/l, using Miller & Tainter method and 18.70 mg/l in the arithmetic of Karber method. These preliminary results show that there is a difference between the toxicity of the individual components of the demulsifiers and their final formulations or when mixed with other chemicals at application stages.
Technology Acceptance in Augmented Reality

Augmented Reality is now used in many fields, including in terms of helping the learning process. The purpose of this research is to know the effect of interrelated based on Technology Acceptance model, namely Perceived Usefulness, Perceived Easy to Use, Behavioral Intention Use, and Actual System Use on the use of Augmented Reality based card game. This research resulted that hypothesis in this research accepted after going through data analysis process from questionnaire result. A huge interest in the use of Augmented Reality-based games as actual technology as a factor in whether or not the game is accepted. Users, viewed in terms of ease of use and the benefits posed by the game is also very influential on the acceptance of games based on Augmented Reality.
Lower limb laterality versus foot structure in men and women

Abstract Study aim: The aim of the study was to determine connections between the functional asymmetry of limbs and the morphological asymmetry of feet. Material and methods: The study population consisted of 56 students: 30 females (mean age 20.29 ± 0.59 years) and 26 males (mean age 20.41 ± 0.78 years). The measurements of body build were taken with classical instruments. Body build was assessed on the basis of body height, body mass, and BMI. Seven features of the foot and 8 indices of foot arches were assessed. Assessment of laterality in upper and lower limbs was conducted on the basis of data from repeated interviews, and then verified with simple motor tests that imitated characteristic functions of the limbs. Asymmetry indices were calculated in order to determine asymmetries of the features. Mollison’s index was applied to assess dimorphic differences. Results: Features that were statistically different in the foot of the dominant limb and in the foot of the non-dominant limb were: among the group of females, the foot length without hindfoot, and the Clarke’s angle; among the group of males - the foot length without toes. Analyses of results of this study do not allow for a claim that laterality of lower extremities has a considerable impact on indices of longitudinal and transverse foot arches. Conclusions: The following conclusions were formulated on the basis of the conducted analysis regarding the group of subjects with homogeneous right laterality: - in females, the dominant limb’s foot is characterized by a shorter bone arm lever for dorsiflexors; - in males, the dominant limb’s foot is characterized by a shorter bone arm lever for plantaflexors.
The Effect of Aripiprazole on Smoking Rate in Schizophrenic Patients

Background : Ventral Tegmental Area dopaminergic neurons are the pathway strengthening the use of psychoactive substances including nicotine. Dopamine over activity in this pathway could be a reason for using the substances. As a second generation antipsychotic with a dopamine partial agonistic activity, it seems that Aripiprazole could reduce substance use by adjusting dopamine in the mentioned pathway. Among schizophrenic patients smoking and consequent cardiovascular diseases are more common compared with general population. The purpose of this study is to evaluate the effect of Aripiprazole on smoking rate of schizophrenic patients. Methods : This is a randomized triple blind parallel clinical trial in which 40 schizophrenic patients were divided in two intervention and control groups. The intervention group received 10mg Aripiprazole on daily basis while the control group received placebo. In both groups smoking rate was measured before and after the study using a standard instrument (Fagerstrom Tolerance Questionnaire) and the obtained data was compared and statistically analyzed by SPSS. Results : There was no significant difference between the groups regarding age, duration of illness, duration of nicotine dependency and other demographic variables. The average FTQ score of the intervention group was 8 and 6.47 before and after taking Aripiprazole, respectively, indicating a significant decrease; but in the control group, it was 7.57 and 7.15 before and after receiving placebo, respectively indicating no significant decrease. The average decline in FTQ score during the study was 1.53 and 0.42 in the intervention and control groups, respectively which was statistically significant. Conclusion : According to this study, Aripiprazole decreased the rate of nicotine dependency in male schizophrenic patients. This study has been registered in IR Iran clinical trials website under registration code: IRCT2013010512018N1 .
Next Generation Sequencing and Its Clinical Applications: The Growing Pains

Ken CN Chang1* and Matthew J Marton2 1Translational Molecular Biomarkers, Merck Research Laboratories, Merck & amp, Co., Inc., 126 E. Lincoln Avenue, Rahway, NJ 07065, USA 2Companion Diagnostics, Translational Biomarkers, Merck Research Laboratories, Merck & amp, Co., Inc., 126 E. Lincoln Avenue, Rahway, NJ 07065, USA *Corresponding author: Ken CN Chang, Translational Molecular Biomarkers, Merck Research Laboratories, Merck & amp, Co., Inc., 126 E. Lincoln Avenue, Rahway, NJ 07065, USA, Tel: +19084231000; E-mail: ken.chang@merck.com
Demand for Improved Public Transport Services in the UAE: A Contingent Valuation Study in Dubai

Service quality, being an integral part of urban growth, has been a subject of interest to city transport planners. The provision of better quality public transport service is a challenge in the United Arab Emirates, as this country strives to meet the transport requirements fundamental to sustain the investment and economic as well as urban population growth exhibited over the last few years. United Arab Emirates government intervention strategies include increasing share of public transportation and decreasing transport by private vehicles through bettering bus service delivery. Such shift of demand for public service requires not only understanding of people's willingness to use and pay for improved public transport services but also market incentives to pull-down personal vehicle ownership demand into public transport services. This study examines the willingness of United Arab Emirates residents to use and pay for improved public transport services. A contingent valuation survey is conducted on 852 representative sample of cross section of United Arab Emirates residents. Probit and Ordered logit models are used to analyze the survey data. The study has generated results with significant ramifications for policy. It suggests that there is the knowledge that residents, in general, are willing to use and pay higher fees for using public bus provided its service quality is improved. This has to provide reassurance to the Roads and Transport Authority who may be interested about the potential demand for improved public bus service. In order for the United Arab Emirates Government to increase the share of public transportation and decrease transport by private vehicles, effort will have to continue to improve the public bus service quality. In particular, marketing of such improved service will have to consider the residents' socioeconomic and demographic as well as some travel attributes.
"Don't Hate Me Because I'm Beautiful": A Commercial in Context.

Beauty, commercials, and hatred can be linked in an analysis of the dominant structures of advertising. Television commercials such as the one quoted in the title use a common rhetorical method: present an ideal state; imply that the viewer has not attained this state; offer a magical object which will connect the viewer with the desired state; and tell the viewer how to evoke that magic. This same structure is often used in sermons, and in both cases, emphasis is placed on the importance of the mediator and the powerlessness of the listener. By using beautiful, idealized images that have no connection with the product being sold, commercials lead viewers to aspire to high ideals but provide them with means that will surely fail in the quest to attain those ideals. This may result in alienating people from the very values being exploited in the commercials, laying the groundwork for despair, hatred, resentment and apathy. (One table of data and three figures are included and 37 references are attached.) (MHC) xxxxxxxxxxxxxxxxxxx.Axxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx * Reproductions supplied by EDRS are the best that can be made * * from the original document. x )0000000(X*X300000EXXM**XXXXXXXXODEXXXXXXXIMOEXXXX*MX)000(X***XMXXXX30EMXXX "Don't Hate Me Because I'm Beautiful": A Commercial in Context Gerald Grow Director, Magazine Program School of Journalism, Media and Graphic Arts Florida A&M University Tallahassee, FL 32307 "PERMISSION TO REPRODUCE THIS Mt TERIAL HAS BEEN GRANTED BY
STUDIES ON PROPERTIES OF AG\AL2O3 NANOCOMPOSITE SYNTHESIZED BY SOLUTION COMBUSTION TECHNIQUE UNDER NOVEL CONDITION

Ag\Al2O3 nanocomposite were synthesized by solution combustion Technique using ammonium carbonate as a new fuel under simultaneous combustion of alumina and silver particles condition. Samples prepared with different amount of silver, were characterized by XRD, BET, SEM and optical Absorption measurements. XRD analysis was used to determine the change in phase and size of the synthesized nanoparticle with adding silver. BET analysis showed that added silver reduced specific surface but which is still suitable for catalytic application. BJH analysis showed that pores in Ag/Al2O3 nano composite are mesoporous and in Al2O3 nano particles is microporous. TEM and SEM showed that silver was distributed completely homogenously in pores of Alumina, and didn’t change in surface of Alumina. Optical transmission showed the different existence of different Ag species.
A comparison between the long-time self-diffusion and low shear viscosity of concentrated dispersions of charged colloidal silica spheres

Measurements are presented of the long-time self-diffusion coefficient and of the low shear limiting viscosity of dispersions of charge stabilized colloidal silica spheres. Long-time self-diffusion coefficients were measured using fluorescence recovery after photobleaching (FRAP), the theory of which is presented and generalized to Gaussian laser beams. The particles, suspended in solutions of LiCl in dimethylformamide, interacted via a screened Coulomb potential, the range of which was varied through the ionic strength. Measurements were made up to volume fractions beyond freezing where a coexistence occurred between a colloidal crystal and a colloidal fluid. It is often speculated that the long-time self-diffusion coefficient and the low shear viscosity of a dispersion are related through a simple StokesEinstein-like relation, but this expectation is not confirmed by the experiments. A slightly modified relation, however, does seem to provide a reasonable empirical description of the data.
Anti-Metastatic and Anti-Tumor growth effects of carnosol on breast cancer

Our lab has previously showed that carnosol, a naturally occurring polyphenol, exhibits anti-cancer activity by promoting cell cycle arrest at G2 phase, induces reactive oxygen species (ROS) dependent apoptosis and beclin-1 independent autophagy in triple negative breast cancer (TNBC) cell line (MDA-MB-231). Here, we extended our study by investigating the potential effect of carnosol on migration, invasion and tumor growth of these cells. Our findings demonstrated that carnosol, at non-cytotoxic concentrations, exerted a potent anti-metastatic and anti-tumor growth activity against the highly invasive TNBC cell line, MBA-MB-231. Carnosol inhibited the migration and invasion of MDA-MB-231 cells. Moreover, carnosol suppressed the expression and activity of MMP-2 and MMP-9. Remarkably, our investigation revealed that TNF-α and STAT3 proteins that are involved in invasion and metastasis signaling were inhibited in MDA-MB-231 cells in response to carnosol. Furthermore, we demonstrated that carnosol significantly inhibited tumor growth and metastasis in vivo. In conclusion, our findings identify carnosol as a promising chemopreventive and chemotherapeutic candidate that modulate breast cancer growth and metastasis. Hence, carnosol deserves further study and exploration to identify its downstream mechanism(s) of action.
A Population Density Model of Domain Calcium-Mediated Inactivation of L-Type Ca Channels

We present a minimal whole cell model of stochastic domain Ca2+-mediated inactivation of low-density L-type Ca2+ channels. Our approach avoids the computationally demanding task of resolving spatial aspects of global Ca2+ signaling by using probability densities and associated moment equations to represent heterogeneous local Ca2+ signals [17, 18]. Using a minimal Markov chain model of an L-type Ca2+ channel, simulated whole cell responses to a two-pulse voltage clamp protocol yield an inactivation function for the whole cell Ca2+ current that deviates from that obtained by assuming instantaneous formation and collapse of Ca2+ domains, as in the domain-mediated Ca2+ inactivation model introduced by Sherman, Keizer, and Rinzel (1990). Parameter studies reveal that when domain Ca2+ formation and collapse are slow compared to channel kinetics (e.g., fast voltage-dependent gating), and the maximum domain concentration is held constant, inactivation in the high-voltage regime is attenuated. When the domain dynamics are slow compared to channel kinetics, and the channel permeability is held constant, inactivation is augmented for all voltages. We also derive an open system of moment equations as well as present a suggestion for moment closure that may facilitate analysis and simulation of domain Ca2+-mediated inactivation of low-density L-type Ca2+ channels.
An improved imputation method based on Fuzzy C-Means and particle swarm optimization for treating missing data

Data mining techniques are used in various industries, including database marketing, web analysis, information retrieval and bioinformatics to gain a better knowledge extraction. However, if data mining techniques are applied on real datasets, a problem that often comes up is that missing values occur in the datasets. Since the missing values may confuse the data mining process and causing the knowledge extracted unreliable, there is a need to handle the missing values. Therefore, researchers are coming out with imputation methods in the preprocessing stage. Although there are many imputation methods such as Mean, k-Nearest Neighbor (k- NN) and Fuzzy C-Means are implemented by other researchers, accuracy for the replace values is still in infancy. In this study, an imputation based on FCM and Particle Swarm Optimization (PSO) has been developed to get better imputation values. FCM has ability to cluster the data into two or more subsets with the different membership values and gives better coverage to find the correlation between the dataset. While, PSO is a swarm optimization algorithm that effectively find the optimum imputation values with less parameters to adjust. Then, FCMPSO was trained with seven artificial missing ratios from 1% to 30% for Cleveland Heart Disease dataset and real missing values in Framingham Heart Disease dataset to get the complete dataset. Then, the complete dataset was trained with Decision Tree algorithm to observe the performance in terms of accuracy. The FCMPSO results gives a better RMSE value for 30% missing ratios with 0.0237 compared to Mean, k- NN, and FCM with 0.0250, 0.0402 and 0.0249 respectively. Next, the analysis of proposed imputation on classification accuracy shows an improvement with 81.67% for Cleveland Heart Disease and 86.3% for Framingham Heart Disease compared to other imputation methods. Based on the results, the imputation values are slightly accurate compared to other imputation methods and therefore, increased the accuracy of Decision Tree classification.