Miracle-dz/UniFAR-FTUs huggingface dataset:
Why are dwarf fish so small? An energetic analysis of polymorphism in lake whitefish (Coregonus clupeaformis)

Sympatric populations of dwarf lake whitefish (Coregonus clupeaformis) (DLW) and normal lake whitefish (NLW) commonly occur in north temperate and subarctic lakes. DLW have a much lower growth, mature earlier, and have a shorter life span than NLW. Furthermore, they are usually not found when cisco (Coregonus artedi) are present, possibly due to competitive exclusion. In this study, we compared the energy budget of DLW, NLW, and cisco using food consumption rates estimated with mass balance models of chemical tracers (i.e., mercury and radiocesium). These chemicals are globally distributed and can be readily detected in fish and their prey. Our analysis showed that the energy budget of DLW and cisco was similar. DLW and cisco consumed on average 4050% more food than NLW. The conversion efficiency of DLW and cisco was two to three times lower than that of NLW. These results suggest that DLW and cisco allocated a larger fraction of their energy budget to metabolism than NLW. Our analysis also suggests that.
The exact extreme value distribution – applied study

Extreme value theory is used to develop models for describing the distribution of extreme events. Exact extreme value or compound distri-bution which is based on the theory of the maximum of random variables of random numbers is one of the most important models that are applicable in various situations, for instance of interest, it uses partial duration series (PDF) data to analyze extreme hydrological. As part of our earlier study, the parameters of this model were estimated by two methods, maximum likelihood (ML) and Bayesian- based on non-informative and informative priors. Moreover, a comparative study using simulated data showed that the Bayesian based on informative prior is the best estimation method. In this paper, a real data set taken from records of the largest daily rainfall data of Jeddah city in Saudi Arabia is used to fit the model when the parameters are estimated by Bayesian method. A comparative applied study indicates that the exact extreme value model under Bayesian estimates (BE) of its parameters provides appropriate fit for this data set and it is more applicable than the same model when the parameters are estimated by ML method and other three classical extreme value models.
Training Teachers in Inclusive Preschool Classrooms to Monitor Child Progress and Make Data-based Decisions through Direct Behavioral Observation

OF DISSERTATION Training Teachers in Inclusive Preschool Classrooms to Monitor Child Progress and Make Data-based Decisions through Direct Behavioral Observation Progress monitoring and data analysis are essential skills needed by classroom teachers within the implementation of multi-tiered systems of support for making databased decisions about student progress and instruction. Within the early childhood MTSS research, consideration of teacher-collected progress monitoring data followed by databased decision-making is rare. To provide teachers with a robust progress monitoring strategy, I trained preschool teachers of inclusive classrooms to use direct behavioral observations to collect data and inform their instruction. The project experimentally evaluated teachers’ generalization of acquired behaviors within the context of a single-case research design. The project’s independent variable, teacher training, consisted of a video-based multimedia presentation and in-vivo feedback. The primary dependent variable was teachers’ implementation of teacherdirected behavior observation procedures. Results indicate that teacher training was effective for three teachers, as evidenced by teachers reaching criterion levels of performance across consecutive days and sessions. Data on the durations of teacher training activities indicate that an average of 21 minutes of in-vivo feedback was provided to the teachers throughout training. Social and ecological validity data suggest that teachers perceived the training activities to be relatively non-intrusiveness and that the target progress monitoring strategies were of value to the teachers. A functional relation was established between training and teachers’ implementation of direct behavioral observation procedures.
Using mounted smartphones as a platform for laboratory education in engineering

Anthony Brill received his B.S. degree in Mechanical Engineering from the University of Nevada, Reno, in 2014. He is currently a M.S. student at the NYU Tandon School of Engineering, studying Mechanical Engineering. He is also a fellow in their GK-12 program, promoting STEM education. He conducts research in the Mechatronics and Controls Laboratory, where his interests include using smart mobile devices in closed loop feedback control.
Semantic discrimination of Noun/Verb categories in French children aged 1;6 to 2;11

This study assesses the part played by semantics in the emergence of grammatical categories in child language. Based on basic, real-world properties, we analyze each of the first nouns and verbs used by three French-speaking children, and code them along six semantic dimensions – animacy, concreteness, determination , distance, motion and number. We use multiple correspondence analyses and hierarchical clustering to model the categories of child language that emerge based on the above semantic dimensions. We then compare them with adult noun and verb categories. Our results show that a gradual organization of meaning takes place during language development, with a degree of variation from one child to the other, especially in the early steps.
Inherited structural controls on normal fault architecture in the Gulf of Corinth (Greece)

In the Gulf of Corinth, E‐W active normal faults and Pleistocene sedimentary basins are segmented along strike by a NNW‐SSE culmination of the Hellenic thrust belt (Zarouchla culmination, ZC), which separates the Derveni‐Corinth basin to the east from the Aigion basin to the west. The eastern zone is characterized by active faults with larger dimensions, cumulative throw and extension, and thicker Plio‐Pleistocene clastic sequences. This distinct geometry is interpreted in terms of greater depths of penetration of the faults to the east, in agreement with earthquake depth distribution. Exhumation of deep imbricates, strong uplift, and NNW‐SSE trends are consistent with ZC being the expression of upper crustal doming, consequent on NNE to NE Miocene extensional stretching, superposed onto the thrust belt. This deformed substratum, strongly oblique to the Pleistocene normal faults, acts as a geometric and mechanical barrier controlling fault segmentation to depths of ∼10 km. The Corinth rift is still in its early phases of opening, and the architecture of a continental crust that is strongly heterogeneous vertically and laterally interferes with processes of growth and linkage of the evolving active normal faults plus their associated sedimentary basins.
Design and development of a signal and data processor test bed for a passive radar in the FM band

This paper describes the design and development of the signal and data processing chain required by a Passive Covert Radar (PCR) exploiting a single non co-operative frequency modulated (FM) commercial radio station as its transmitter of opportunity. The processing chain is proved to: 1) efficiently remove interference and clutter from the received signal, 2) detect targets and extract their bistatic range, bistatic Doppler and azimuth, 3) track targets in the Cartesian domain via the use of particle filtering. The whole processing sequence has been tested using emulated FM radio signals and scenarios as an input to receiving channels. Detection and tracking performance of the passive radar have been assessed comparing the performance of the signal and data processor test bed to the truth data feeding the test bed itself. (5 pages)
Compensation of Power quality Issues using Fuel Cell with Electrolyzer/Pv/Wind Turbine

This paper designates the compensation of power quality effects in wind-diesel hybrid system. In across the world the large number of FSWT are operating or installing. These creating power quality problems. In a hybrid wind-diesel-hydrogen-pvpower system as proposed in this paper. Notice that the power quality effects, i.e voltage flicker and voltage variation of WT are analyzed in paper since the proposed solution aims to compensate impact of them upon electrical grid. The simulation results exhibit the ability of FC/ELZ system in compensating the flicker level and voltage fluctuation.
Perceptions of Gambling in Tamil and Chinese Communities in Australia: The Role of Saving Face in Perpetuating Gambling Stigma and Hindering Help

Despite Australia being a multicultural country, there is limited evidence regarding ethnic perspectives about gambling, problem gambling, and associated help seeking. The aim of this paper is to examine the role and nature of stigma in relation to gambling, in particular its association with the concept of saving face. Interview data were thematically analysed from a study investigating the attitudes and experiences of gambling among ethnic minority communities (Tamil and Chinese) in Melbourne, Victoria. By using two well-established frameworks for understanding stigma, we examine the extent to which gambling is stigmatized within these two communities. The desire to save face (a form of stigma management) significantly influences what is said about gambling and the reluctance of individuals to seek help should it become problematic. Thresholds for stigmatized behaviour appear to differ between the communities studied, as well as from what is known about the Anglo-Celtic majority. Understanding this heterogeneity may be important for informing more effective, tailored interventions. Bien que l’Australie soit un pays multiculturel, il existe peu de donnees probantes sur les perspectives ethniques du jeu, le jeu problematique et la demande d’aide connexe. L’objectif du present article est d’examiner le role et la nature du stigmate associe au jeu, en particulier son lien avec le concept de sauver la face. Les donnees d’entrevues realisees dans le cadre d’une etude sur les attitudes et les experiences de jeu de membres de communautes ethniques minoritaires (tamiles et chinoises) a Melbourne, en Australie, ont ete analysees par theme. A l’aide de deux cadres de travail reconnus pour la comprehension du stigmate, nous avons examine la mesure dans laquelle le jeu est stigmatise dans ces deux communautes. Le desir de sauver la face (qui est une forme de gestion du stigmate) a une grande incidence sur ce qui est dit sur le jeu et sur la reticence a demander de l’aide lorsque le jeu devient problematique. Le seuil de stigmatisation du comportement semble etre different dans les deux communautes etudiees, ainsi que de ce que l’on sait du stigmate dans la communaute majoritaire anglo-celte. Comprendre cette heterogeneite pourrait aider a elaborer des interventions personnalisees plus efficaces.
The Effects of Financial Sector Development on Innovation as an Engine of Sustained Growth

The finance-led growth hypothesis states that financial development promotes economic growth by enhancing either efficiency of capital accumulation or technological innovation or both. A typical strategy to test the validity of the hypothesis is to regress measures of financial development on aggregate growth measures such as GDP per capital growth. This type of approach is problematic because of simultaneity. Furthermore, the channel of influence from the financial sector to the real sector is not specified. This paper focuses on the innovation channel of influence and tests whether financial development positively affects the rate of technological innovation. By focusing on a specific channel of influence, simultaneity is ameliorated. Using a panel of patent application data of developing countries as a proxy for technological innovation, this paper provides evidence that financial development seems to be an important determinant of the rate of technological innovation across countries and over time.
“Modes of Variability” and Climate Change

A 62-member ensemble of coupled general circulation model (GCM) simulations of the years 1940‐2080, including the effects of projected greenhouse gas increases, is examined. The focus is on the interplay between the trend in the Northern Hemisphere December‐February (DJF) mean state and the intrinsic modes of variability of the model atmosphere as given by the upper-tropospheric meridional wind. The structure of the leading modes and the trend are similar. Two commonly proposed explanations for this similarity are considered. Several results suggest that this similarity in most respects is consistent with an explanation involving patterns that result from the model dynamics being well approximated by a linear system. Specifically, the leading intrinsic modes are similar to the leading modes of a stochastic model linearized about the mean state of the GCM atmosphere, trends in GCM tropical precipitation appear to excite the leading linear pattern, and the probability density functions (PDFs) of prominent circulation patterns are quasi-Gaussian. There are, on the other hand, some subtle indications that an explanation for the similarity involving preferred states (which necessarily result from nonlinear influences) has some relevance. For example, though unimodal, PDFs of prominent patterns have departures from Gaussianity that are suggestive of a mixture of two Gaussian components. And there is some evidence of a shift in probability between the two components as the climate changes. Interestingly, contrary to the most prominent theory of the influence of nonlinearly produced preferred states on climate change, the centroids of the components also change as the climate changes. This modification of the system’s preferred states corresponds to a change in the structure of its dominant patterns. The change in pattern structure is reproduced by the linear stochastic model when its basic state is modified to correspond to the trend in the general circulation model’s mean atmospheric state. Thus, there is a two-way interaction between the trend and the modes of variability.
Monthly Differentiation in Meat Yield, Chemical and Amino Acid Composition of Wild and Cultured Brown Trout (Salmo Trutta Forma Fario Linneaus, 1758)

In this research, the differences between wild and cultured brown trout (Salmo trutta forma fario Linneaus, 1758) were determined by investigating meat yield, chemical quality and amino acid composition of wild and cultured trout in the East Black Sea region between January and December. The mean meat yield of 67.59%±0.48 in wild trout was significantly higher than that of 64.46%±0.73 in cultured trout (P<0.05). The mean crude protein, crude lipid, moisture contents and crude ash were 17.36% ± 0.037-16.66% ± 0.37, 2.71% ± 0.21-3.62%±0.224, 78.10% ± 0.239-77.43% ± 0.387, 1.16% ± 0.03-1.21% ± 0.029 in wild and cultured trout, respectively. The mean crude lipid in cultured trout was significantly higher from the wild trout (P<0.05). The mean protein amount is similar for both fish groups. Mean carbohydrate content in the wild trout was found to be 0.54±0.12 (g/100 g) and cultured trout carbohydrate was found to be 0.57±0.12 (g/100 g) (P<0.05). Maximum value at Total amino acid (TAA) was reach on cultured fish at Jun (17880 mg/100 g), wild trout was reach (18755 mg/100 g) at April. Total essential amino acid (TEAA) value was demonstrate significant variation (P<0.05). Results showed that, cultivated and wild brown trout fillets are well-balanced food source in terms of E/NE ratios in all seasons.
Competitiveness from data and analytics : required competency in organization

Strengell, Tiina Competitiveness from Data and Analytics: Required Competency in Organization Jyväskylä: University of Jyväskylä, 2017, 91p. Information Systems Science, Master’s Thesis Supervisor: Holtkamp, Phillipp The purpose of this master’s thesis is to determine the competency requirements of data analytics and identify the most beneficial competencies that create customer value. This study is implemented using a mixed-method approach, which combines qualitative and quantitative methods. A literature review is at the base of the empirical research. The empirical study is done using questionnaires, in which both structured and unstructured questions are used. A total of 18 participants from three different companies are involved in the study. Descriptive statistics and graphs are used to summarize the answers to the structured questions. Descriptions are compared with the literature review findings. Analysis of open questions is carried out using the Competence Performance Theory of Korossy. Competency requirements of data analysts found in empirical research had much in common with the requirements described in the literature. The major exceptions to this are programming skills and machine learning. Their importance is emphasized in the literature. In the empirical data, the knowledge varies quite a lot. Nevertheless, respondents do not see it as a problem. Aside from a few technical skills, which are repeated in all datasets, other skills also vary. The results justify the main competencies needed for the creation of customer value, which are data architecture design, business planning, and knowledge of the company's strategic planning. These competencies were raised as competencies both for individuals and the organization. Individuals need the skills mentioned above, but the company's contribution is also essential. Generally speaking, personal traits and business skills were appreciated more than technical skills.
Comparative Study of Fuzzy System and Artificial Neural Networks in Predicting Solar Radiation in Tehran Province

In this study, artificial neural networks (ANN) and Adaptive-Network-Basefuzzy inference system (ANFIS) are used to model daily global solar radiation (GSR) in Tehran province of Iran. In order to design the networks, a dataset of meteorological daily time series for eight years (1994-2002) collected by Iran Meteorological Office was used. Input parameters were maximum temperature, relative sunshine duration, day of the year and extraterrestrial solar radiation while the output parameter was the GSR in MJ/m 2 day. Various networks were designed and tested. The performances of best networks revealed that RMSE, MAE and MAPE were 2.77, 2.19, 0.12 for ANN and 2.8, 2.22, 0.12 for ANFIS, respectively. The results indicated that both approaches can be successfully applied for modeling GSR however ANN performs slightly better.
Bubble and Selection Sorting with Excel

The paper gives a method of learning programming the bubble and selection sorting algorithms through developing interactive applications in Excel and coding the just acquired step of the solution in Delphi Pascal. The method was tried in nine 90 minute lessons with 83 participants, which were gymnasium students, undergraduate, master and PhD students of Teaching Informatics, and university Informatics teachers. The participants were given questionnaires to find out their opinion on the method. The results are discussed.
RETURN OF THE KING: TIME-SERIES PHOTOMETRY OF FO AQUARII’S INITIAL RECOVERY FROM ITS UNPRECEDENTED 2016 LOW STATE

In 2016 May, the intermediate polar FO Aqr was detected in a low state for the first time in its observational history. We report time-resolved photometry of the system during its initial recovery from this faint state. Our data, which includes high-speed photometry with cadences of just 2 s, show the existence of very strong periodicities at 22.5 and 11.26 minutes, equivalent to the spin–orbit beat frequency and twice its value, respectively. A pulse at the spin frequency is also present but at a much lower amplitude than is normally observed in the bright state. By comparing our power spectra with theoretical models, we infer that a substantial amount of accretion was stream-fed during our observations, in contrast to the disk-fed accretion that dominates the bright state. In addition, we find that FO Aqr’s rate of recovery has been unusually slow in comparison to rates of recovery seen in other magnetic cataclysmic variables, with an e-folding time of 115 ± 7 days. The recovery also shows irregular variations in the median brightness of as much as 0.2 mag over a 10-day span. Finally, we show that the arrival times of the spin pulses are dependent upon the system’s overall brightness.
Output feedback variable structure control design for uncertain nonlinear Lipschitz systems

This paper develops a full-order compensator-based output feedback variable structure control law for uncertain nonlinear Lipschitz systems having matched perturbations. Given that the sufficient condition is satisfied, the developed control scheme, with the observer-like technique incorporated into the design of the compensator, can achieve global exponential stabilization. An illustrative example is provided with simulation results to show the effectiveness of the proposed method.
STATCOM Controller (Design and Assessment) for Transmission and Distribution System Problems

Due to immense increase in needs of human being, the power generation system encounters a deficiency of key energy sources as a result the demand is increasing day by day without an increase in alternative generation resources and transmission line capability. The constantly increase of electrical power demands and loads, especially non-linear loads making the power system network become more complicate to operate and the system becomes unstable with large power flows without proper control and operation. The advancement in power system with time have brings new challenges and sometimes it is difficult to operate system in stable condition due to complex system network. One of the invention of power electronics is FACTS technology. FACTS (Flexible Alternating Current Transmission Systems) devices are based on power electronics and other dynamic controllers that provide control of one or more AC transmission system parameters to upgrade the controllability and to increase power transfer capability. One way to improve the power system control is by applying FACTS controllers such as D-STATCOM (Distribution Static Synchronous Compensator) which can be introduced to the power system to regulate terminal voltage and to improve power factor of system.A comprehensive D-STATCOM controller is to be established which when will be introduced in the power system will eliminate the voltage fluctuations and improve power stability. A test power system is being designed in MATLAB Sim Power System with non-linear load and wind energy source as renewable source and then the systems is analyzed with and without the D-STATCOM controller and both the result are being compared to check the performance of the designed D-STATCOM Controller. Keywords: Unified Power Flow Controller (UPFC), Distribution Static Compensator (D-STATCOM), Static Synchronous Series Compensator (SSSC)
The cell division gene ftsZ2 of Sinorhizobium meliloti is expressed at high levels in host plant Medicago truncatula nodules in the absence of sinI

In this study, we investigated the role of quorum sensing (QS) in expression of the Sinorhizobium meliloti cell division gene ftsZ2 in free-living cells and within nodules of its host plant, Medicago truncatula. Using a ftsZ2 promoter reporter fusion, we were able to track the expression of this gene in wild-type S. meliloti cells and QS mutant backgrounds in planta. Our findings revealed that expression of ftsZ2 in free-living cells was changed or reduced in sinI mutant cells compared with wild-type cells while expression in planta was substantially higher in the absence of sinI. The results further clarify the involvement of quorum sensing in the control of bacterial cell division during the symbiosis in planta.