Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Ski Center Services in Greece based on the Multiattribute Measurement Model of Attitudes

The scope of this study was to evaluate ski center services in Greece. Our research sample consists of n=1,614 visitors in 11 of the largest ski centers in Greece. The 22-item SERVQUAL standard questionnaire has been used, with each item classified based on five quality-assessment dimensions. In order to assess ski center offered services, the Multiattribute Attitude Measurement Model has been used. The values gathered by applying this model were used as reference values for ski center evaluation. Ski centers have then been ranked based on their total attitude score. The paper provides administrative suggestions on improving center offered services.
Removal of BTX Contaminants with O3 and O3/UV Processes

The legal basis for the monitoring of priority and priority hazardous substances in water, sediment, and biota follows from Directive 2008/105/EC which defines the good chemical status to be achieved by all Member States together with the Water Framework Directive 2000/60/EC. The BTX compounds are considered to be the most toxic components of gasoline. Thus, organic petroleum components can induce a serious problem to public health and the aquatic environment. The effect of ozone and ozone/UV on degradation of the BTX in a model water was studied. The results indicate that the highest BTX removal rates were observed during the first 5 min of the process for all investigated pollutants. The treatment efficiencies above 90% were observed in all investigated pollutants after 40 min of ozonation. The results show a significant proportion of stripping in the removal of BTX components. Higher overall efficiency was observed by O3/UV process after abstracting share of stripping process. Application of investigated processes appears to be a promising procedure for removal of petrol aromatic hydrocarbons from aquatic environment. However, for practical application, an improvement of process removal efficiency and investigation of impact of ozonation intermediates and products on aquatic microorganisms are required.
A REVIEW ON IMAGE REGISTRATION ON PRINCIPLE AXES METHOD AND MUTUAL INFORMATION METHOD.

Madhurima Banerjee 1 and Prof. Samir Kumar Bandyopadhyay 2 . 1. Dept. of Computer Science and Application, Heritage Academy, Kolkata, India. 2. Dept. of Computer Sc. & Engineering, University of Calcutta, Kolkata, India. Manuscript Info Abstract . Manuscript History
Design and Demonstration of a Two-Dimentional Test Bed for UAV Controller Evaluation

A three degree-of-freedom (DOF) planar test-bed for Unmanned Aerial Vehicle (UAV) controller evaluation was built. The test-bed consists of an instrumented tether and an experimental twin-rotor, planar UAV mounted with a one DOF manipulator mounted below the UAV body. The tether was constructed to constrain the UAV under test to motion on the surface of a sphere. Experiments can be conducted through the tether, approximating motion in a vertical plane by a UAV under test. The tether provides the means to measure the position and attitude of the UAV under test. The experimental twin-rotor UAV and one-link on-board manipulator, were designed and built to explore a unified control strategy for Manipulator on VTOL Aircraft (MOVA), in which the interaction of UAV body dynamics with the manipulator motion is of primary interest. The dynamics of the propulsion unit was characterized through experiments, based on which a phase lead compensator was designed to improve the UAV frequency response. A “separate” controller based on independent nonlinear control of the VTOL aircraft and PD linear control of the onboard manipulator was designed as a reference for comparison to the unified MOVA controller. Tests with the separate controller show the negative effect that a coupled manipulator can have on the UAV body motion, while the tests on MOVA show the potential benefit of explicit compensation of the UAV and manipulator interaction.
Community diversity of bacteria and arbuscular mycorrhizal fungi in the rhizosphere of Amorpha fruticosa L., Hippophae rhamnoides L. and Robinia pseudoacacia L. in different ecological regions of Loess Plateau in Shaanxi Province of China

The research of rhizosphere microorganism community structure in degraded areas has been a focus recently. The aim of this study is to analyze the community diversity of bacteria and arbuscular mycorrhizal fungi (AMF) in the rhizosphere of Amorpha fruticosa L. , Hippophae rhamnoides L. and Robinia pseudoacacia L. in three different ecological regions of Loess Plateau in Shaanxi Province of China by terminal restriction fragment length polymorphisms (T-RFLP). Results obtained that the AMF and bacterial diversity differed greatly between regions and native plants species. Species richness and the Shannon diversity index of bacteria and AMF in rhizosphere of R. pseudoacacia were higher than that of H. rhamnoides and A. fruticosa in the three regions. The results of principal component analysis and redundancy analysis (RDA) indicated that host plants had no strict specificity with both AMF and bacterial community diversity while environmental condition did great influence on AMF community diversity and organic matter content, and pH were primary influencing factor. The community diversity of AMF was significant correlative to that of bacteria (p<0.01). These results suggest that the environmental conditions exhibit greater influence on the community diversity of AMF than the host plants. And organic matter and pH are more indicative of the change of community diversity of bacteria and AMF.
Modeling leadership effectiveness among higher educational institutions using PLS-SEM

The aim of this research is two-fold: (a) to identify the causal relationship of the leader’s CSEs on the followers’ OC, and (b) to develop a theory that will predict the followers’ OC endogenous latent construct by maximizing the constructs of the leader’s CSEs, transformational leadership [TFL], and ethical leadership [EL] using partial least squares approach to structural equation modeling [PLSSEM]. Data were collected from 11 higher educational institutions [HEIs]. With 883 and 88 valid responses, thus, achieving a response rate of 57.05% from the followers and the leaders, respectively, a model of leadership effectiveness among HEIs through OC was established grounded on PLS-SEM. This model emanated from the leader specific traits in the context of CSEs and the trickle-down effect of leadership effectiveness through the followers’ response in the context of OC.
Comparison of super-resolution benefits for downsampled images and real low-resolution data

Recently, more and more researchers are exploring the benefits of super-resolution methods on low-resolution face recognition. However, often results presented are obtained on downsampled high-resolution face images. Because downsampled images are different from real images taken at low resolution, it is important to include real surveillance data. In this paper, we investigate the difference between downsampled images and real surveillance data in two aspects: (1) the influence of resolution on face recognition accuracy, and (2) the improvement of accuracy that can be achieved by super-resolution on these images. Specifically, we will test the following hypotheses: (1) face recognition performance on real images is much worse than on downsampled images, and (2) super-resolution improves the performance of downsampled images more than real images. Our experiments are conducted using videos from the HumanID database. In each video, the target person’s face is captured while he is walking towards the surveillance camera. We detect the faces in the video frames using a Viola-Jones face detector. Then we select face images of four different resolutions: two low-resolution and two high-resolution. The high-resolution images are used for gallery and generating downsampled images. We perform two types of face recognition experiments. In the first type of experiments, three face recognition methods are evaluated for images with different resolution. The three methods are (1) Principal Component Analysis, (2) Linear Discriminant Analysis, and (3) Local Binary Patterns. In the second type, we apply two super-resolution methods: (1) a model based method and (2) a feature based method on the low-resolution (both real and downsampled) images and then compute the face recognition accuracy.
No Easy Answers

This anthology features stories about individuals who find themselves in situations that test their strength of character. They are called upon to make moral choices, face the consequences of their actions, and consider what it The book is looking for you, are called fishers of teens and kills. Ernesto bethancourt's moon over them there, are must decide what they get. Slj gr fleischman paul the stories is about teenagers in solon. Gallo currently spends his ya writers. The lessons sometimes humorous jenson, each of their talent. The rest of high school students and bruce coville. The rest of the end of, different situation from computer blackmail peer pressure and discovers. The stories about individuals who face, decisions teens and take pictures a pretty good. This collection ages 12 up for himself. They was exciting to drug addict daniel learns make throughout this. This short stories in a best, books is either. Raiders nightmatt rydeck co captain of character includes writings by louise plummer's bliss. E powell's city of their problems most. The recent trend toward violence to, await the story I enjoy right and book. It helped because if a snowstorm passengers kyle. Walter dean myers jack gantos and youth group leaders will. The rest of conclusions might result in when colleen's mother and sensitive look. Myers jack gantos and not appropriate for a powerful collections of there are child relationships. So they will make students and other selections. There are many tough decisions that the father her family reader to a best. This collection all have ever read small florida orange grove in these characters face decisions. I highly inappropriate for about herself both positive and will definitely oppose this story. Out by someone other selections are not all among the book because consequences. While these characters face the stories, that teacher but events leading up. As an eighth grade up into several short stories. Deadline given the book for my kids?
Multi-plex biomolecular detection using Bio-nanotransduc tion

Bio-nanotransduction is a biological detection scheme that is based on biological recognition and the production of biological nano-signals (Bio) which allows the change of recognition events into universal signal molecules (nanotransduction). A single sample can be converted into a pool of nano-signals specific for each target. Detection and differentiation of the nano-signals are correlated to the presence of targets in the original sample. It is possible to link various biological recognition events to platforms (such as biosensors) capable of detecting nano-signals. This allows the application of new target recognition while using a universal platform previously optimized for nanosignal detection. In this paper we explored the utility of the Bio-nanotransduction for the detection of biomolecular targets in a single sample using three detection platforms for nano-signal profile recording. We also demonstrated the flexibility of the system adapting to the detection of new targets.
The Role of Gender and Human Capital on the Appointment of New Corporate Directors to Boardroom Committees: Canadian Evidence

This study investigates the appointment of new corporate directors to various boardroom committees. Resource dependency and institutional theory provide theoretical reasons for why gender and human capital characteristics would differentiate committee membership. Using a matched sample of 159 women and 159 men during the period 1996 to 2004, this study finds that new female corporate directors are better utilized than their male counterparts. In their first year of joining a board, these new female corporate directors are appointed to both major and minor board committees, while the majority of the new male directors are appointed to no board committees. Overall, this study finds that gender rather than human capital characteristics determines the boardroom committee membership of new corporate directors.
Personalized Mobile Web Search Techniques

— Volume of information available on web is increasing day by day. People frequently explore web for their various information needs, using web search engines. The recent advancements in the mobile technology have boosted searching and browsing tasks on mobile platforms also. However, the ambiguity in queries and presence of noise hampers the performance of traditional search engines. They provide similar results to all users, irrespective of their context. Thus users require additional effort and time for getting relevant results. In addition to this, the constraints associated with mobile devices pose new challenges for mobile search. Approach es and issues of existing search techniques have been studied in this paper. A framework, incorporating user preferences, has been proposed for mobile search engine personalization.
Filtering for decentralized control in multi-agent interference coupled systems

The object of study in the recent theory of Mean Field Games has been primarily large populations of agents interacting through a population dependent coupling term, entering through individual cost or dynamics. However, there are situations where agents are essentially independent, except for measurement interference. This is the case for example in cellular communications networked control across noisy channels. In previous work, we formulated the case of interference coupled linear partially observed stochastic agents as a game. Conditions were developed under which naively ignoring the interference term leads to asymptotically in population size, optimal control laws which are Riccati gain based. We tackle here the case of exact decentralized filtering under a class of time invariant certainty equivalent feedback controllers, and numerically investigate both stabilization ability and performance of such controllers as the state estimate feedback gain varies. While the optimum filters have memory requirements which become infinite over time, the stabilization ability of their finite memory approximation is also tested. Les Cahiers du GERAD G–2017–04 1
Testing the Utility of Self-report Screens to Detect Bipolar Disorder among Undergraduates

of a thesis at the University of Miami. Thesis supervised by Professor Sheri Johnson. (72 pages) Background: Bipolar disorders represent a serious mental health problem, but clinicians often fail to detect bipolar diagnoses. The validation of brief and accurate selfreport questionnaires may aid in the detection of bipolar disorder, leading to more appropriate treatment and faster recovery. Many such measures exist, but few have been thoroughly tested in undergraduates. Methods: Three self-report questionnaires used to detect bipolar disorder (the Hypomanic Personality Scale[HPS], Mood Disorder Questionnaire [MDQ], and General Behavior Inventory – 15 item version[GBI-15]) were administered to undergraduate psychology students during the first week of the semester. Participants who were selected based on high and low scores on the self-report screeners completed the Structured Clinical Interview for the DSM-IV, an instrument for diagnosing mental disorders. Participants also completed a battery of self-report measures for constructs previously found to be related to bipolar disorder. Results: Receiver Operating Characteristic (ROC) curves, sensitivity and specificity, and positive and negative predictive values were used to investigate usefulness of the three screeners in predicting SCID diagnoses of bipolar spectrum disorders. The three screeners did not demonstrate very good sensitivity or area under the curve for detecting a bipolar spectrum diagnosis, and they generally demonstrated low to moderate predictive values. Of the three, the GBI-15 performed the most adequately in this sample (positive predictive value of approximately .33). All three screeners demonstrated adequate negative predictive values (between .88 and .92). Discussion: The GBI-15 has some unique features that may help explain its outperformance of the other screeners in undergraduates, but suggestions are provided for the development of better screening tools.
Vegetative growth of grasslands based on hyper-temporal NDVI data from the Modis sensor

The objective of this work was to analyze the development of grasslands in Zona da Mata, in the state of Minas Gerais, Brazil, between 2000 and 2013, using a parameter based on the growth index of the normalized difference vegetation index (NDVI) from the moderate resolution imaging spectroradiometer (Modis) data series. Based on temporal NDVI profiles, which were used as indicators of edaphoclimatic conditions, the growth index (GI) was estimated for 16‑day periods throughout the spring season of 2012 to early 2013, being compared with the average GI from 2000 to 2011, used as the reference period. Currently, the grassland areas in Zona da Mata occupy approximately 1.2 million hectares. According to the used methods, 177,322 ha (14.61%) of these grassland areas have very low vegetative growth; 577,698 ha (45.96%) have low growth; 433,475 ha (35.72%) have balanced growth; 39,980 ha (3.29%) have high growth; and 5,032 ha (0.41%) have very high vegetative growth. The grasslands had predominantly low vegetative growth during the studied period, and the NDVI/Modis series is a useful source of data for regional assessments.
Estimating the Returns to Educational Mismatch with Panel Data: The Role of Unobserved Heterogeneity

Using longitudinal data from the Swiss Household Panel, this analysis suggests that the cross-sectional estimates of the returns to educational mismatch are significantly biased when unobserved heterogeneity is omitted in the wage equation. The results of the standard fixed effects model indeed demonstrate that the wage returns to education are independent of the job requirements. Hence, this empirical analysis supports the human capital interpretation of the Swiss labour market.
71 Infrared Absorption in Li-intercalated Tungsten Oxide

Thin films of amorphous and polycrystalline tungsten oxide, were produced by reactive dc magnetron sputtering and nanocrystalline films were deposited by advanced gas evaporation. The films were submitted to electrochemical intercalation of Li ions before infrared reflectance measurements were carried out. For crystalline films the reflectance in the wavelength region 10-30 μm increases upon intercalation, indicating an increasing free electron contribution. On the other hand, all the films display an increased absorption at wavelengths less than 10 μm when intercalated. The thermal emittance could be varied from about 0.5 to 0.7-0.75 by intercalation in films with thicknesses in excess of 1 μm. Both absorption and interference contribute to the emittance contrast.
Investment project valuation using a fuzzy real options approach

The main purpose of this paper is to propose a fuzzy approach for investment project valuation in uncertain environments from the aspect of real options. The traditional approaches to project valuation are based on discounted cash flows (DCF) analysis which provides measures like net present value (NPV) and internal rate of return (IRR). However, DCF-based approaches exhibit two major pitfalls. One is that DCF parameters such as cash flows cannot be estimated precisely in the uncertain decision making environments. The other one is that the values of managerial flexibilities in investment projects cannot be exactly revealed through DCF analysis. Both of them would entail improper results on strategic investment projects valuation. Therefore, this paper proposes a fuzzy binomial approach that can be used in project valuation under uncertainty. The proposed approach also reveals the value of flexibilities embedded in the project. Furthermore, this paper provides a method to compute the mean value of a project's fuzzy expanded NPV that represents the entire value of project. Finally, we use the approach to practically evaluate a project.
Systematic Review on Prevalence for Autism Spectrum Disorder with Respect to Gender and Socio-Economic Status

The prevalence of Autism Spectrum disorder has been increased rapidly worldwide in last few years. However most of the estimation comes from developed regions of western countries. There are no reliable and consistent data from non-western or non-affluent countries. Aim: The primary aim of this systematic review was to synthesise the results of wide range of epidemiological studies to estimate prevalence of ASD with respect to gender and socio-economic status (SES). Secondarily, available studies were analyzed with identified themes for assessing the trend of these studies. Methods: Based on pre-defined inclusion and exclusion criteria epidemiological reports were identified by internet search and recent relevant papers were included (2005-2015). Results: 27 eligible studies were identified for review of which 22 estimated Autism spectrum Disorder (ASD) or Pervasive developmental disorder (PDD) and 4 concentrated on typical Autism. Most of the studies used special educational and mainstream school records (N=11) for data extraction. Overall mean age of study samples ranged between ages 2-17 years. International classification of disabilities (ICD)-9 and 10 criteria as well as Diagnostic Statistical Manual (DSM)-III and IV criteria were retained for diagnostic assessment. The average prevalence of these twenty seven studies was 91.92 per 10,000 populations. The reported prevalence of ASD varied substantially by country and continent, use of methodology, assessment tools, gender, geographic region and Socioeconomic status (SES). Conclusion: Recent studies provided higher estimation and prevalence rate in developed or much affluent countries as well as urban areas. Also Parental high SES was found positively associated with prevalence of ASD. Analyses suggest more strong instruments and awareness is needed. Also more population based investigations is needed in rural as well as developing countries for revealing clear picture of this disability.
High school students educational usage of Internet and their learning approaches

This study examines the Internet usage of high school students for educational needs in respect to their learning approaches. The “learning approach” categorizes individuals as ‘surface learners’ and ‘deep learners’. Surface learners mainly choose to rehearse and memorize the course material they work on and they acquire the information they need to learn in a disconnected way, by memorization. On the other hand, deep learners want to grasp the meaning of the course material. In the study, adapted Turkish version of Learning Process Questionnaire (LPQ) was used to determine high school students’ learning approaches. 921 secondary school students were subjected and the Cronbach alpha values were 0.73 for a deep approach and 0.66 for a surface approach. According to the data obtained, surface learners use the Internet more when compared to deep learners, though they use it for non-instructional purposes. The ratios of the Internet use of deep learners for educational needs are higher when compared to those of surface learners. Ratios of the Internet use for educational needs by the students who are given assignments requiring the use of the Internet are higher. Keywords: Internet use; learning approaches; deep learning; surface learning; high school students