Miracle-dz/UniFAR-FTUs huggingface dataset:
Impacts of the Low-Level Jet's Negative Wind Shear on the Wind Turbine

Abstract. Nocturnal low-level jets (LLJs) are defined as relative maxima in the vertical profile of the horizontal wind speed at the top of the stable boundary layer. Such peaks constitute major power resources for wind turbines. However, a wind speed maximum implies a transition from positive wind shears below the peak to negative ones above. The effect that such a transition has on wind turbines has not been thoroughly studied. This research study employed a methodical approach to the study of negative wind shear's impacts on wind turbines. Up to now, the presence of negative shears inside the turbine's rotor in relation to the presence of positive shears has been largely ignored. A parameter has been proposed to quantify that presence in future studies of LLJ–wind-turbine interactions. Simulations were performed using the NREL aeroelastic simulator FAST code. Rather than using synthetic profiles to generate the wind data, all simulations were based on real data captured at the high frequency of 50 Hz, which allowed us to perform the analysis of a turbine's impacts with real-life, small scales of wind motions. It was found that the presence of negative wind shears at the height of the turbine's rotor appeared to exert a positive impact on reducing the motions of the nacelle and the tower in every direction, with oscillations reaching a minimum when negative shears covered the turbine swept area completely. Only the tower wobbling in the spanwise direction was amplified by the negative shears; however, this occurred at the tower's slower velocities and accelerations. The forces and moments were also reduced by the negative shears. The aforementioned impacts were less beneficial in the rotating parts, such as the blades and the shafts. Finally, the variance in power production was also reduced. These findings can be very important for the next generation of wind turbines as they reach deeper into LLJ's typical heights. The study demonstrated that the presence of negative shears is significant in reducing the loading on wind turbines. A major conclusion of this study is that the wind turbines of the future should probably be designed with the aim of reaching the top of the nightly boundary layer more often and therefore the altitudes where negative shears are more frequent. Doing so will help to reduce the positive shear's associated damage and to capture the significant LLJ energy.
Investigating and comparing the relationship between parental monitoring types and perceived parenting styles of the Turkish students

The relationship between parental monitoring and parental styles are considered as an important subject for child development field. The aim of this article is to analyze the perceptions of the adolescents about their parents’ parental monitoring and parenting styles in terms of the participants’ gender, family education and family jobs status. The sample size is 252 adolescents with 158 female nd 94 male students. The data were collected by the Parental Monitoring Instrument (PMI) and the Parenting Styles Scale. The sample was chosen from one Anatolian high school in Ankara, one Multi-Programme High School in Cankiri and one Multi-Programme High School in Yozgat with simple and random sampling. The results showed that there were statistically significant differences between mother acceptance/warmth and gender scores t(250)=3,281 and mother control and gender scores t(250)=2,263; p<0.05. The study also analyzed the relationship between adolescent ages and grades as well as the number of children, mothers’ ages and fathers’ ages and the parental style with some statistically significant results. The one-way ANOVA results indicated that there are statistically significant differences between adolescents’ perceptions of parental monitoring sub-scales and the mothers’ parenting styles sub-scales. Except computer monitoring, in all parental monitoring sub-scales, the mothers parenting styles have shown statistically significant differences.
Proposing a Neural-Genetic System for Optimized Feature Selection Applied in Medical Datasets

This paper, presents a new system for selecting the best optimized features among a collection of features by combination of neural network and genetic algorithm. Feature selection is an important issue because it has a direct impact on the performance (Specificity, sensitivity) and system efficiency. The proposed system uses neural network for selecting the best features based on Signal to Noise Ratio (SNR), and genetic algorithm for training the neural network by determining the optimum values of weighs and other parameters. This system is a combination of a Multi-Layer Perceptron (MLP) with 3 layers and decimal genetic algorithm We evaluated our proposed system on 10 medical data sets and compared it with binary genetic algorithm that is used widely for feature selection. The results confirmed the superiority of the proposed system in Specificity, sensitivity and the number of selected optimized features.
A Novel Parallel Modelling-Wavelet Based Mechanical Fault Detection Using Stator Current Signature of Induction Machine under Variable Load Conditions

Induction Machine (IM) fault detection techniques such as Fast Fourier Transform (FFT) which is a popular steady-state analysis method is recognized to be highly dependent on the IM loading and speed conditions. Nonetheless, implementing an FFT or even Short Time Fourier Transform (STFT) will result in low resolution frequency characteristics especially under a variable speed and loading conditions. Consequently, fault detection and classification under variable loading and speed conditions is quite inconvenient. Since, mechanical faults are one of the major breakdowns, which occur in IMs, it needs to be addressed to prevent breakage andfault extension. This paper investigates and detects faults under variable loading and speed conditions by studying the Motor Current Signature Analysis (MCSA) using a novel developed parallel technique based on the discrete wavelet transform (DWT). The proposed model input would be MCSA with the similar drive, loading condition and constraints for both healthy and faulty electric motors and the Discrete Wavelet Transform (DWT) is used as a detection technique. The proposed technique uses the DWT to the IM’s stator current to extract the desired features including Min, Max, Standard deviation, and Energy of the signal as a specific vector for each electric motor. In addition, different mechanical faults including Rotor broken bar(s), eccentricity and bearing have been detected using the proposed technique. Then, the accuracy of proposed parallel model using DWT is verified using experimental set-up of the parallel machines under variable loading and speed conditions for different mechanical faults. Finally the results of the proposed technique for all mechanical faults is tabulated and presented.
Status of the relict population of the Critically Endangered Madagascar spider tortoise Pyxis arachnoides

Abstract The Madagascar spider tortoise Pyxis arachnoides is endemic to the coastal dry forests of south-west Madagascar. In recent years its range has been reduced by c. 71%, with the species now confined to eight fragmented populations occupying a total of 2,464 km2. These remaining populations are facing a significant threat of extinction because of habitat destruction and other anthropogenic pressures. We developed methodology for a line transect distance sampling survey and applied it systematically across the species' range. The resulting distance model estimated a mean density of 226.9 tortoises km−2 (95% confidence interval, CI, 168.1–306.3) and a total population of 664,980 (95% CI 492,680–897,550). Fragmentation of the species’ range suggests the current population could be <30% of the historical population. Of the remaining population 73.5% falls within protected areas. However, nine of these 12 protected areas are designated as IUCN category III, V or VI parks, allowing some extractive activities to be undertaken. The most effective strategy for the conservation of P. arachnoides would be to reduce the threats to this species and its habitat, and to develop and expand the current community-based conservation and poverty alleviation programmes in the region.
Who Cares About Equity? A Social Norm Revisited

We introduce a three-person redistribution game with preplay communication. Three focal points of the game are derived from different equity standards and Rawls' difference principle. An experimental test confirms our hypothesis that equity in terms of effort-proportionality is not pursued at the group level. Only a large 'middle class' and/or institutional hurdles that limit the power of the less productive prevent highly productive players from being expropriated.
Surface bacterial community, fatty acid profile, and antifouling activity of two congeneric sponges from Hong Kong and the Bahamas

Bacterial communities on the surfaces of 2 congeneric sponges, Mycale adhaerens from Hong Kong and M. laxissima from the Bahamas, were compared using conventional cultivation techniques and terminal restriction fragment length polymorphism (TRFLP) analysis — a culture- independent DNA fingerprinting technique. The bacterial community on the Hong Kong sponge was more diverse, in terms of the number and type of species isolated, and different from that on the Bahamas sponge, as evident from distinct clusters formed in TRFLP analysis. Distinctive bacterial types (i.e. TRFs) were commonly found on both sponge surfaces, but none of their bacterial isolates were common. At tissue level concentration, extract of the Hong Kong sponge inhibited the growth of a wide range of bacteria isolated from the Hong Kong reference surface, but did not affect any of those isolated from the Bahamas reference surface, indicating highly specific antibacterial activity. Extracts of both sponges, when incorporated into hydrogels and exposed to the natural environment for bacterial film development, dramatically altered the bacterial community in the films, either by shifting the bacterial composition or decreasing bacterial density. Settlement assays of the resulting films using larvae of the polychaete Hydroides elegans showed that the filmed hydrogels with Hong Kong sponge extracts either inhibited larval settlement or were toxic to the larvae; however, those with the Bahamas sponge extracts had no observable effect. HPLC (high performance liquid chro- matography) and GC-MS (gas chromatography-mass spectrometry) analyses revealed different chemical profiles in the extracts; the Hong Kong sponge had a more diverse fatty acid profile. Our results suggest that the 2 congeneric sponges from geographically separated regions have 'species- specific', surface-associated bacterial communities and antifouling activities, which might be due to the differences in the chemical and fatty acid compositions of the 2 sponges. Alternately, different sponge-associated bacterial communities may reflect habitat differences in sympatric bacterial and fouling communities.
ULTRAMARINE, LAZURITE AND SODALITE STUDIED BY POSITRON ANNIHILATION AND EPR METHODS

Studies of positron annihilation accompanied by EPR technique were undertaken for sodalite and lazurite and their synthetic counterparts (synthetic sodalite and ultramarines). Results of measurements performed by two techniques of positron annihilation spectroscopy (angular correlation of annihilation radiation, ACAR, and positron annihilation lifetime) revealed the undoubted influence of free radicałs on positron annihilation mechanism but both inhibition of positronium formation by them and the effect of filling cages ought to be taken into account. The distinct differences between ACAR curves for sodalites, lazurites and ultramarines probably reflect the presence of different radicals in their cages and chemical heterogeneity as well as the disorder in Al, Si-site ordering in case of ultramarines. Comparison of the results of ACAR measurements with the ones of the EPR studies indicates that there is correspondence between them. Similarly to three families of the ACAR curves, different likes of EPR lines were obtained for three groups of samples; sodalites, lazurites and ultramarines. It is possible that the annihilation of positrons takes place mainly with unpaired electrons recorded by the EPR technique.
Quantum coherence--classical uncertainty tradeoff relations

We derive upper bounds for the quantum uncertainty of one-qudit states in terms of its incoherent uncertainty. Hilbert-Schmidt quantum coherence and Hellinger quantum coherence are used to measure quantum uncertainty while incoherent uncertainty is quantified by the linear entropy and von Neumann entropy of the corresponding closest incoherent state or of its square root. The obtained inequalities are also given as coherence-populations tradeoff relations.
The Effect of Accounting Reporting Complexity on Financial Analysts

This study examines whether analysts’ qualifications, experience, and expertise in specific accounting areas help them mitigate the challenges they face while interpreting complex financial reports. We take advantage of eXtensible Business Reporting Language (XBRL) filings to construct complexity measures of the recognized vs. disclosed accounting information, as well as the complexity of fair value, derivatives, and pensions disclosures. Without XBRL, constructing such measures is less feasible. We find that the negative association between accounting reporting complexity and analysts’ performance is primarily driven by the complexity of the information disclosed in the financial statement notes, rather than the information that is recognized on the face of the financial statements. We further find that while analysts’ general experience does not help alleviate complexity, analysts’ firm-specific experience, industry focus, and CFA certification do. Using an XBRL-based approach, we propose new measures of analysts’ account-specific expertise and find that expertise in fair value, derivatives and pension accounts is more valuable than other types of qualifications in attenuating the negative effects of complexity in these inherently complex accounts. Overall, this study underscores the importance of analysts’ qualifications and the need to simplify the disclosures in the notes to the financial statements.
Cambodia mobile telecommunication market: Opportunities and challenges

Information and Communications Technology (ICT) has become a necessity in social and economic development and is a leading sector to enable and drive growth in other sectors in Cambodia such as education, agriculture, and health. Recently, the mobile telecom service market in Cambodia has demonstrated rapid growth, which is jumping off the fixed-line, with a penetration rate of 75.27% of the total population by the end of 2010. Despite this rapid growth rate, the mobile telecom service market in Cambodia faces a number of key challenges. There seems to be excessive competition in the mobile telecom service market due to the number of operators (eight active operators). In the short term, this market favors demand side rather than supply side by lowering prices. Consumers' welfare increases with the lower prices resulting from heavy competition. Also the dominant market players gain relatively higher profits while those of the less-dominant players have been squeezed by increasing market polarization. Furthermore, there is a lack of sector policy framework, Telecommunication Law, which means government Ad hoc regulations are implemented in the market to resolve the issues. These factors will contribute to market failure and lower market efficiency in the long run. This study examines the competitive environment of the mobile phone market in Cambodia to identify what the challenges are and how to overcome them through the involvement stakeholders in the mobile phone market in Cambodia. In addition, we criticize the current static efficiency-based market performance. We analyze various data including relevant government documents, operators' data, and materials from relevant websites. Furthermore, a survey was conducted with 150 people to examine the consumers' assessment on the experiences of mobile telecom services usage. The expected results will verify that the current static efficiency-based policy framework results in a stagnant market and is lacking sustainable driving force, which needs to be resolved in the dynamic perspective. Finally, we propose future policy framework for the dynamic efficiency enhancement in the market.
Self-compassion and forgiveness: The protective approach against rejection sensitivity

The main purpose of this study was to examine the relationship between self-compassion, forgiveness and rejection sensitivity. Participants were 496 university students who completed the Self-compassion Scale, the Trait Forgiveness Scale and the Rejection Sensitivity Questionnaire. The obtained data were analyzed with Pearson Moments Correlation Analysis and Multiple Regression Analysis (MRA). In correlation analysis, forgiveness and self-compassion were negatively related to rejection sensitivity, and forgiveness was also associated with self-compassion. According Multiple Regression Analysis results, rejection sensitivity was predicted negatively by forgiveness and self-compassion, and also self-compassion is the best predictor for rejection sensitivity. The findings were discussed in light of the related literature.
How Much do Digital Natives Disclose on the Internet - a Privacy Study

—With the advent of social services on the Internet that encourage the disclosure of more and more personal information, it has become increasingly difﬁcult to ﬁnd out where and for which purpose personal data is collected and stored. The potential for misuse of such data will increase as well, e.g., due to the ongoing extension of social sites with new features that make it more appealing to reveal personal details. In order to research and develop approaches that give way to privacy on the Internet, it is important to know which kind of information can be found, who has been responsible for publishing it, the age of the information, etc. This paper describes a user study about the personal information available about Digital Natives, i.e., young people who have grown up with the Internet. In particular, we have guided 65 undergraduate students to search the web for personal information on themselves by using various search engines. Our students have completed 302 questionnaire sheets altogether. We have analyzed the questionnaires by means of statistical signiﬁcance tests and cluster analysis. As a part of our results, we have found out that today’s personal search engines like 123people.com do not ﬁnd much more information than general-purpose search engines like google, and that today’s Digital Natives are surprisingly aware of the information they are willing to disclose.
Quality enhancement in e-learning activities: improvements by mean of a newly engineered e-learning survey

This paper deals with quality enhancement of e-learning activities through the satisfaction analysis expressed by university learners while using specific learning modules. The paper considers a newly engineered survey that evaluates not only quality in use but also quality in learning and learner involvement. The quality of the interface, the friendliness of the contents, the accessibility of concepts and the capability to provide new knowledge and skills are all considered. Through the paper, the various aspects concerning the different discriminating factors that characterize e-learning processes are investigated. The results, obtained during university teaching activities, show the usefulness of the survey in individualizing the more improvable factors by understanding effective learners’ needing. Key-Words: e-learning, learnability, quality evaluation, survey, usability.
Terahertz Dielectric Sensor Based on Novel Hexagon Meta-Atom Cluster

─ In this paper, we report meta-atom sensor based on planar hexagon split ring resonators. The subwavelength structure is designed to operate in terahertz frequency band. A modified version of split ring resonator geometry is simulated for sensing dielectric changes by placing thin dielectric layers as sample materials on the full frontal surface of sensor. The effective parameters are retrieved using Nicolson-Ross and Weir method. The meta-atom sensor shows significant changes in resonant frequency as a function of transmission (magnitude of S21 parameter) response, which was observed when the sensor is loaded with the dry layer of dielectric materials of different dielectric constants. This paper contributes new shape of metaatom structure used as a terahertz dielectric sensor. The proposed sensor can be used in multitudinous terahertz near field sensing applications. Index Terms ─ Dielectric sensor, meta-atom, near field, split ring resonator, terahertz.
Classroom explorations of mathematical writing with nine- and ten-year-olds

In this dissertation, writing as a teacher-researcher, I present my longitudinal explorations (1992-2002) of the area of mathematical and paramathematical writing with grade four pupils (nine- and ten-year-olds) who have been members of my classroom (a public elementary school in Vancouver, British Columbia, Canada). Five main writing sites were used: mathematical journal writing, computer research journal writing, pen-pal letter writing (in conjunction with university pre-service students), different forms of in-class extended writing including reports of mathematical investigations undertaken by the pupils and (most significantly in terms of this dissertation) pupil textbook writing. The pupil writing from the last two sites came from one year, 1997-1998. The 'writing debate' in English language concerning issues of teaching writing through 'creative process' or through explicitly teaching specific 'genre features' has a particular connection with this work, although my study is not formulated precisely within those terms. Certainly, during 1997-1998, my pupils were exposed to a variety of mathematical writing genres which contributed to their ability to produce the sophisticated textbook writing they did (even if it took me considerable time and effort in order to appreciate its nature). My analysis of their writing focuses on aspects of five key and interrelated features of writing: audience, purpose, form (genre), content and voice. Within these (increasingly overlapping and blurring) categories, I use certain tools of discourse analysis (in particular, attention to pronouns and general verb tense and mood) to identify and discuss specific features of their writing. In addition, l employ Eco's notion of model reader and Bakhtin's concept of addressivity in order to examine larger-scale features of my pupils' writing. These connect to conventional textbook forms and work reported in the research and professional literature, under the heading 'writing to learn mathematics'. I coin the term paramathematical writing, in order to discuss writing that supports mathematics even though it is not directly mathematical by itself. I identify two forms of paramathematical writing: explicit personal text alongside more overtly mathematical writing and certain syntactic choices (allied to 'voice') when writing text with the explicit intent of helping another pupil learn some mathematics. Finally, at a meta-level, throughout this dissertation, genuineness, caring and trust are themes that arise and interleave themselves through the discussion. Teacher research is examined as a generative process that produces, along with its particular products, seeds for on-going research.