Miracle-dz/UniFAR-FTUs huggingface dataset:
VALIDATING THE WILLINGNESS TO SELF-CENSOR SCALE: INDIVIDUAL DIFFERENCES IN THE EFFECT OF THE CLIMATE OF OPINION ON OPINION EXPRESSION

Hayes, Glynn, and Shanahan () defined self-censorship as the withholding of one’s opinion around an audience perceived to disagree with that opinion. They argued that people differ in their willingness to self-censor and introduced an -item self-report instrument, the Willingness to Self-Censor scale, to measure this individual difference. The results of an experimental study presented here provide further evidence of the construct validity of the scale. Each participant in the study was presented with a hypothetical scenario that contained information suggesting a group of people the participant was conversing with about a controversial topic held opinions that were either uniformly similar to or different from the participant’s own opinion. Four weeks prior, each participant had responded to the Willingness to Self-Censor scale and a measure of dispositional shyness. As expected, the manipulation of the climate of opinion affected willingness to express an opinion to the group, but more so among those who scored relatively high on the Willingness to Self-Censor scale. These results support the notion that some people rely on information about the climate of opinion more so than do others when they decide whether or not to voice their opinion publicly, and they suggest that the Willingness to Self-Censor scale measures this individual difference. After more than  years, Noelle-Neumann’s spiral of silence theory (NoelleNeumann, , ) continues to motivate research and debate about the dynamics of public opinion evolution, the role of the social context in our decisions to express opinions publicly, and the pros and cons of self-censorship over
Determinants of Farmers’ Participation in Food Market in Ogun State, Nigeria

This study was carried out to access the determinants of farmers’ participation in food market in Odeda L.G. A. of Ogun state.Simple random sampling technique was used in the selection of the respondents and a well structured question was used to gather information on the determinants of farmers’ participation in food market. A total of 100 questionnaires were administered but only 70 could be retrieved and subjected to analysis. The analytical technique includes descriptive statistics and Probit regression analysis.The result shows that the average age was 45yrs. Probit analysis shows that the major determining factors influencing farmers participation in the market were age, marital status, source of labor, farming experience, farm size, and which were significant at p≤0.05 and p≤0.01 respectively.It is therefore recommended that government should intensify efforts through the extension agents in organizing programs which will enhance farmers’ participation in market through training, disseminating market information and better utilization of farmland.
GOLGI METHOD : A 140 YEARS OLD YET UNIQUE AND POWERFUL METHOD FOR THE STUDY OF THE CENTRAL NERVOUS SYSTEM

Golgi method is been using for more than 140 years so far for the study of the individual morphological and morphometric characteristics and parameters of the cells of the central nervous system. Although other methods came to light, Golgi method is still unique and one of the most powerful tools in the hands of the neuroscientists. What makes Golgi method unique is the capacity to stain all components of the brain tissue, including neurons, glial cells and the vasculature. The cell soma, the dendritic arborization including the spines and at least a part of the axon are usually visible, providing a panoramic view of the entire neural element. Golgi method can be combined with modern and sophisticated techniques which can reduce the human interference and produce accurate 3D models of the neuronal elements of the central nervous system.
Defining the Integration of Mathematics and Science To Support Student Learning

A study group consisting of math, science and special education teachers sought out to explore research based practices on the impact that the integration of science and math has on student success. The study reflects the process that the group used to achieve integration and the results that they found. Some of the achievements made by the study group was the creation of a tool that served as a guide to making connections in both content areas which was the result of the working relationship formed that fostered the creation of two integrated lessons and would have an impact on future collaborative efforts of integration. They found that by applying process integration through investigation based lessons that students developed deeper understanding of the contents and that this approach improved student engagement as observed during the two integrated lessons. The conclusion was that in order to successfully integrate content areas a strong sense of collaboration must exist, and all participants must be committed to both the time and effort it takes to develop this working relationship. Document Type Thesis Degree Name MS in Mathematics, Science, and Technology Education This thesis is available at Fisher Digital Publications: http://fisherpub.sjfc. edu/mathcs_etd_masters/11 Defining the Integration of Mathematics and Science To Support Student Learning
Gentamicin Sulphate According to EP and USP Method Electrochemistry Discover the difference Aminoglycoside Antibiotics

The Gentamicin sulphate analysis in pharmaceutical preparations was evaluated on an Antec ALEXYS LC-EC a nalyzer, using the exact method and conditions described in the official 2014 USP monograph (37-NF32) and EP monograph (8.0). In this application note typical results obtained with the ALEXYS® a nalyzer are reported, demonstrating its performance for the routine analysis of gentamicin sulphate in pharmaceutical preparations.
Automatic Computation of Potential Tumor Regions in Cancer Detection using Fractal analysis techniques

Radiology is one of the most active and technologically advanced fields in medicine. It was born from the most advanced physics concepts, and it became a reality thanks to the state-of-the art of electronics and computer science. The advances of medical imaging have made possible the early detection and diagnosis of multiple affections that were not at our reach just some years ago. However, progress comes with a price. The raise of imaging machinery has implied that the number and complexity of technical parameters have grown in the same proportion, and the amount of information generated by the imaging devices is much larger. In spite of technical progress, medical imaging supply chain invariantly finalizes at the same point: a human being, typically the radiologist or medical practitioner in charge to interpret the obtained images. At the end, it is not unusual that human operators check one by one two hundred slices of a Computer Tomography coming from a single routine control scanner. It is not surprising if some tiny detail is missed when searching for “something wrong”, especially after some hours of continuous visualization, or due to insufficient time budgets. One of the milestones of this work is providing the reader with an overview of the field of volumetric medical imaging, in order to achieve a sufficient understanding of the problematic involving this discipline. This master thesis is mainly an exercise of exploration of a set of techniques, based on fractal analysis, aimed to provide any sort of computational help to the personal in charge of the interpretation of volumetric medical images. Fractal analysis is a set of powerful tools which have been applied successfully in multiple fields. The thesis goal has been to apply these techniques within the scope of tumor detection on liver tissues and evaluate their efficiency and adequateness.
AN ANALYSIS OF THE ABRASİVE WATER JET MACHINING OF POLYETHYLENE USING L9 ORTHOGONAL ARRAY

In this study, Taguchi method was applied to find optimal process parameters for cutting 100 mm thick (HDPE) polyethylene sheet material with AWJ. This experimental study examines the effect of the process parameters on the material removal rate and average surface roughness values of polyethylene workpieces. For the optimizing the cutting process parameters with AWJ is to optimize the cutting efficiency and the standoff distance, the abrasive flow rate and traverse speed with the Taguchi method. Also used the ANOVA and signal-to-noise ratio (SN Ratio) to determine the optimal parameters. The L9 orthogonal array was used for parameters and response results were assigned. For each combination, a single experiment was performed and optimal results were obtained for the AWJ cutting with SN ratio. It has been verified that the specified optimal AWJ cutting process parameters meet the actual needs for processing of polyethylene in practice.
Searching : Theory and Practice

We present the state of the art of the main component of text retrieval systems: the search engine. We outline the main lines of research and issues involved. We survey the relevant techniques in use today for text searching and explore the gap between theoretical and practical algorithms. The main observation is that simpler ideas are better in practice. In theory, The best theory is inspired by practice. there is no difference between theory and practice. The best practice is inspired by theory. In practice, there is. Donald E. Knuth Jan L.A. van de Snepscheut
Organizational Justice, Organizational Commitment and Trust in Manager as predictor of Organizational Citizenship Behavior

The current study explored the relationship between organizational justice and organizational citizenship behavior (OCB) mediated by trust in manager and organizational commitment. Survey data were collected from a sample of 134 nurses in Makassar City Hospitals of Indonesia. The results of variance-based SEM with Partial Least Square analysis (PLS) showed that the hypothesized model fit the data very well. Organizational commitment and Trust in manager were good mediators between organizational justice and OCB. There was a positive and direct relationship between trust in manager, organizational commitment and OCB, and in organizational justice there are non-significant.
Heterogeneous Beliefs and the Beta Anomaly in the Chinese A-share Stock Market

ABSTRACT The beta anomaly indicates that high-beta stocks earn low future returns. We confirm the existence of the beta anomaly in the Chinese A-share stock market and propose that heterogeneous beliefs and arbitrage limits play important roles in explaining the beta anomaly. We provide a new proxy for aggregate disagreement based on analysts’ earnings forecasts and find that the beta anomaly does not exist in stocks with low arbitrage limits and periods with low aggregate disagreement. Furthermore, a higher aggregate disagreement period leads to a more concave Security Market Line.
Anomalous p -channel amorphous oxide transistors based on tin oxide and their complementary circuits

In this article, we report the fabrication of SnO2 thin film transistors (TFTs) fabricated by reactive evaporation. Different from the previous reports, the fabricated TFTs exhibit p-type conductivity in its undoped form. The postdeposition annealing temperature was tuned to achieve p-channel SnO2 TFTs. The on/off ratio and the field-effect mobility were ∼103 and 0.011cm2∕Vs, respectively. To demonstrate inverter circuit, two devices with different threshold voltages were combined and an output gain of 2.8 was achieved. The realization of p-channel oxide TFTs would open up new challenges in the area of transparent electronics.
LIPIDS BETWEEN SPRING AND SUMMER Calanus finmarchicus ( GUNNERUS ) FROM THE IRMINGER SEA NORTH ATLANTIC OCEAN

Seasonal variation in lipid reserves of Calanus finmarchicus between seven different sampling zones namely; Central, North and Southern Irminger Sea, East Greenland Sea with characteristic current of Atlantic and Polar origin, Iceland Shelf, and Raykjanes Ridge (RR) were determined using High Performance Liquid Chromatography equipped with an Evaporative Light Scattering Detector (HPLC-ELSD). Wax ester (WE) and Triglycerides (TG) were the main lipids classes in C. finmarchicus. Along sampling zones in both spring and summer, the highest concentration of total storage lipids (WE+TG) were in samples from Central Irminger Sea (CIS) and the lowest in samples from Southern Irminger Sea (SIS). WE, TG as well as, the total storage lipids were significantly different between sampling zones and seasons, with WE in spring being lower than those in summer, and TG being higher in spring than in summer. Thus storage lipids varied along sampling zones between seasons in the Irminger Sea.
EXPLORING K-PSO ALGORITHM FOR CLUSTERING

Cluster analysis is a very popular approach to fully automatic search for patterns, data concepts, groups and clusters. It simplifies data representations and thus plays an important role in the process of knowledge acquisition. Data mining tasks require fast and accurate partition of data with many attributes. This requires new approach, which could deal better with these features. Methods based on the swarm intelligence present such approach to the cluster analysis. This article is a brief introduction to the optimization algorithms inspired by the natural world. It shows how these algorithms can be used in the cluster analysis and describes several up-to-date hybrid techniques combining PSO and k-means. Moreover, conceptually new hybrid algorithm based on the PSO and k-means is introduced and its efficiency and robustness are compared to the other algorithms using several datasets.
The Trading Behavior of Institutions and Individuals in Chinese Equity Markets

This paper employs a unique data set to analyze the trading behavior of 6.4 million individual and institutional investors across the Mainland China. We find groups of investors with varying levels of wealth and hence investor sophistication engage in different trading strategies. Consistent with most existing studies, our analysis shows that Chinese institutions, though forming only 0.5% of the investing population, are momentum investors. In contrast with earlier studies, we show that Chinese individual investors cannot be characterized in a general way. Less sophisticated and less wealthy individuals tend to act as contrarians, whereas more sophisticated ones tend to behave like institutions when they buy stocks on the one hand, and behave like less sophisticated individuals when they sell on the other. Regardless of the level of investor sophistication, individual investors in general exhibit a strong disposition effect in that they tend to hold on to losing investments too long. Further analyses suggest that buy trades by various investor groups can help to reduce future stock volatility while sell trades can lead to a higher future volatility. Examining the effects of trades on future stock returns clearly suggests that institutional buying and selling of stocks are in the direction of future returns, but not individual investors buying and selling of stocks.
Genetic Variability for Biofuel Traits in a Circumglobal Reed Canarygrass Collection

re ed canarygrass ( Phalaris arundinacea L.), a cool-season perennial forage crop that grows well in cool, wet climates, has potential value as an energy crop. Nevertheless, little breeding effort has gone into its development as an energy crop. We evaluated 94 reed canarygrass accessions for agronomic and quality traits at Ames, IA, and Arlington, WI, in 1999 and 2000. Variation among accessions was observed for all variables. Biomass yield was not correlated with acid detergent fiber (cellulose plus lignin) or with acid detergent lignin, indicating good potential for developing favorable feedstocks for co-firing or for fermentation. Analysis of regional geographic variation as well as principal component analysis showed that phenotypes varied considerably among geographic regions, with much of the variation attributable to differences between Europe and Asia. Except for North American germplasm, European germplasm tended to have higher biomass yield than other germplasm, suggesting that it may be better suited for use in direct breeding programs in the north central United States. ov erall, sufficient variation exists among wild and cultivated germplasm to warrant further breeding of reed canarygrass as a biofuel feedstock.
Issues and Challenges in Crowdsourcing Platform Implementation in Malaysia

Advancement in global technology infrastructure and improvements in the user experience of crowdsourcing create an industry where everyone has access to work, and employee can source for the best talent, at the best price, with the shortest turnaround time. Hence, platform plays a major role in crowdsourcing ecosystem. Thus, the objectives of this paper are to to investigate the current practices of crowdsourcing industry in Malaysia and the issues and challenges in implementing crowdsourcing platform. Workshop was held to gather information from stakeholders regarding the crowdsourcing practices and ecosystem. Follow up interviews were done with existing Malaysia’s platforms. The interviews help to uncover current practices, requirements, issues and challenges in existing Malaysian crowdsourcing platforms. The findings will provide perspective, areas for action and also identify deficiencies in ensuring the credibility and reliability of Malaysian platforms and also local crowdsourcing industry. It also helps in facilitating better planning of the ecosystem and ensuring sustainable growth for the industry. Key-Words: Impact Sourcing, Crowd Workers, Job Providers, Crowdsourcing Ecosystem, Micro Sourcing, Market Place, Human Cloud.
NUMERICAL INVESTIGATION OF THREE-DIMENSIONAL TRANSONIC FLOW WITH LARGE SEPARATION

Shock-induced separation is an extreme manifestation of strong shock/boundary-layer interaction. It is of substantial engineering interest in the context of transonic wings and turbomachine blades, because it alters significantly the operational characteristics of the component in question. Predicting this interaction is challenging, both from a numerical and turbulence-modelling point of view, especially when the flow is highly threedimensional. This paper reports a computational study in which the performance of non-linear eddy-viscosity models is investigated when applied to a physically highly complex case of shock-induced separation in a duct flow over a swept bump inclined at 60 o to the duct axis, followed by a shock-controlling second throat. The bump generates a skewed shock which interacts sensitively with the boundary layers on all four walls and causes extensive separation, strong transverse motion and highly complex topological flow features at the walls. The computations show that non-linear models yield a significantly more sensitive response of the boundary layers to the shock. This results in a better representation of the primary interaction processes, but also in excessively large transverse motion and hence insufficient rate of post-shock flow recovery. This is qualitatively consistent with observation in nominally 2D conditions, though the effect is much more pronounced in the present 3D case.
Dissipative control for TS fuzzy system with random time-delay and linear fractional uncertainties

In the paper, the problem of feedback dissipative control for T-S fuzzy system with random time-delay and linear fractional uncertainties is addressed. Considering the random timedelay factor and parameter uncertainties are considered with linear fractional transformation form. By implementing a proper novel Lyapunov functional together with linear matrix inequality approach, a set of delay-dependent conditions are obtained to guarantee the dissipativity of Takagi-Sugeno fuzzy system with time-delay and uncertainties that strictly stochastically dissipative of the closed-loop system. Further, the desired state feedback dissipative controller can be obtained by solving the linear matrix inequalities. Finally, an illustrative example based on the inverted pendulum model with random timedelay is provided to show the effectiveness of the proposed design technique.
THE PURSUIT FLEXIBILITY OF CHILDREN WITH ATTENTION-DEFICIT/HYPERACTIVE DISORDER

This research explores the kinematics performance of children with ADHD on the Pursuit Test at four speeds (i.e., 30, 50, 80, 100 millimeters per second) to assess their movement flexibility and its quality. The study consists of 23 children with ADHD and 38 normal children. The results have shown that children with ADHD demonstrate a faster speed in movement, along with greater acceleration, and the entire movement process tends to be less smooth. Children with ADHD also demonstrated greater difficulty in motor control while the speeds of pursuit test increased. Discussion regarding children with ADHD had difficulty in implementing close-loop movements, higher-level cognitive processing, and higher-speed activities were proposed. Clinical implications, study limitations and suggestions for future study were provided.
Advances in MBE Selective Area Growth of III-Nitride Nanostructures: From NanoLEDs to Pseudo Substrates

The aim of this work is to provide an overview on the recent advances in the selective area growth (SAG) of (In)GaN nanostructures by plasma assisted molecular beam epitaxy, focusing on their potential as building blocks for next generation LEDs. The first three sections deal with the basic growth mechanisms of GaN SAG and the emission control in the entire ultraviolet to infrared range, including approaches for white light emission, using InGaN disks and thick segments on axial nanocolumns. SAG of axial nanostructures is developed on both GaN/sapphire templates and GaN-buffered Si(111). As an alternative to axial nanocolumns, section 4 reports on the growth and characterization of InGaN/GaN core-shell structures on an ordered array of top-down patterned GaN microrods. Finally, section 5 reports on the SAG of GaN, with and without InGaN insertion, on semi-polar (11-22) and non-polar (11-20) templates. Upon SAG the high defect density present in the templates is strongly reduced as indicated by a dramatic improvement of the optical properties. In the case of SAG on non-polar (11-22) templates, the formation of nanostructures with a low aspect ratio took place allowing for the fabrication of high-quality, non-polar GaN pseudo-templates by coalescence of these nanostructures.
Does capital account liberalisation promote economic growth? Evidence from system estimation

This paper proposes a three-equations empirical representation of the channels linking capital account liberalization (CAL) and economic growth. System estimates indicate that CAL determines growth through financial development and openness to trade. The residual effect of CAL on growth after accounting for these two channels is negligible. These results call for a reconsideration of the conclusions on the growth-effect of CAL drawn from single-equation empirical models.