Miracle-dz/UniFAR-FTUs huggingface dataset:
Scalable Topic Detection Approaches fromTwitter Streams

Real time topic detection in Twitter streams is an important task that helps discovering natural disasters in a real time from users’ posts and helps political parties and companies understand users’ opinions and needs. In 2014 the number of active users on Twitter is reported to be more than 288 million users who are posting around 500 million tweets daily. Therefore, detecting topics from Twitter streams in a real time becomes a challenging task that needs scalable and efficient techniques to handle this large amount of data. In this work, we scale an Exemplarbased technique that detects topics from Twitter streams, where each of the detected topics is represented by one tweet (i.e, exemplar). Using exemplar tweets to represent the detected topics, makes these topics easier to interpret as opposed to representing them by uncorrelated terms as in other topic detection algorithms. The approach is implemented using Apache Giraph and is being extended here to efficiently support sliding windows. Experimental results on four datasets show that the optimized Giraph implementation achieves a speedup of up to nineteen times over the native implementation, while maintaining good quality of the detected topics. In addition, Giraph Exemplar-based approach achieves the best topic recall and term precision against K-means, Latent Dirichlet Allocation (LDA), Non-negative matrix factorization (NMF) and Latent Semantic Analysis (LSA), while maintaining a good term recall and running time. The approach is also deployed for detecting topics from real-time Twitter streams and its scalability is demonstrated. Moreover, another clustering technique called Local Variance-based Clustering (LVC) is proposed in this thesis for detecting topics from Twitter streams. Local Variance-based Clustering (LVC) defines the data points densities based on their similarities. The proposed local variance measure is calculated based on the variance of the data points similarity histogram and is shown to well distinguish between core, border, connecting and outliers points. Experimental results show that LVC outperforms spectral clustering and affinity propagation in clustering quality using control charts, Ecoli and images datasets, while maintaining a good running time. In addition, results show that LVC can detect topics from Twitter with higher topic recall by 15% and higher term precision by 3% over DBSCAN.
Sharing quality resources for teaching and learning: A peer review model for the ALTC Exchange in Australia

The ALTC Exchange (formerly the Carrick Exchange), is a national repository and networking service for Australian higher education. The Exchange was designed to provide access to a repository of shared learning and teaching resources, work spaces for team members engaged in collaborative projects, and communication and networking services. The Australian Learning and Teaching Council (ALTC) established the Exchange for those who teach, manage and lead learning and teaching in higher education. As part of the research conducted to inform the development of the Exchange, models for peer review of educational resources were evaluated. For this, a design based research approach was adopted. Findings from the literature and feedback from key practitioners and leaders within the sector are discussed in this paper. Finally, key recommendations for implementation are identified.
Adaptation of interaction in web environments with educational content

This study, which aims to determine the design principles of interaction adaptation in adaptive online learning environments, was based on a mixed and comparative type of relational screening model. Modified online Delphi method was employed in order to develop the principles and determine the relative importance. Ninety experts participated in the study. Arithmetic mean, first quartile deviation, standard deviation and intraclass coefficient of correlation were utilised to determine the levels of agreement of the experts on the principles. Two hundred and seventy studies which included parameters utilised during the design of interaction were analysed by using content analysis and the robustness of the findings was categorically evaluated, and it was found that experts had almost full agreement on all the 10 principles. Furthermore, the agreement on principles between the observers (intraclass correlation coefficient = 0.903) was found perfect. The obtained principles that indicate the common inclinations both in the literature and of the domain experts should be employed.
Shifted energy fluxes, increased Bowen ratios, and reduced thaw depths linked with drainage-induced changes in permafrost ecosystem structure

Abstract. Hydrologic conditions are a key factor in Arctic ecosystems, with strong influences on ecosystem structure and related effects on biogeophysical and biogeochemical processes. With systematic changes in water availability expected for large parts of the northern high-latitude region in the coming centuries, knowledge on shifts in ecosystem functionality triggered by altered water levels is crucial for reducing uncertainties in climate change predictions. Here, we present findings from paired ecosystem observations in northeast Siberia comprising a drained and a control site. At the drainage site, the water table has been artificially lowered by up to 30 cm in summer for more than a decade. This sustained primary disturbance in hydrologic conditions has triggered a suite of secondary shifts in ecosystem properties, including vegetation community structure, snow cover dynamics, and radiation budget, all of which influence the net effects of drainage. Reduced thermal conductivity in dry organic soils was identified as the dominating drainage effect on energy budget and soil thermal regime. Through this effect, reduced heat transfer into deeper soil layers leads to shallower thaw depths, initially leading to a stabilization of organic permafrost soils, while the long-term effects on permafrost temperature trends still need to be assessed. At the same time, more energy is transferred back into the atmosphere as sensible heat in the drained area, which may trigger a warming of the lower atmospheric surface layer.
EFFECTS OF UNDERDEVELOPED EQUITY MARKET ON INVESTMENT

This paper uses a variant of the Allen, Bernardo, and Welch (2000) model in an open market economy to analyze the effects of equity market development on investment. A country’s underdeveloped equity market may discourage investors from investing in the country. Consequently, an underdeveloped equity market may contribute to home equity bias. Asset prices in a less developed equity market tend to be lower. The results suggest that a government may need to facilitate the development of its equity market to attract investment.
Relaciones entre estilos educativos, temperamento y ajuste social en la infancia:Una revisión

Este trabajo tiene como objetivo revisar teoricamente las prin-cipales variables que afectan al desarrollo social del nino. Tradicionalmente se ha abordado el estudio del ajuste social del nino desde la influencia unidireccional que ejerce el padre como agente socializador del nino. No obstante, este planteamiento genero un gran numero de criticas por su excesiva rigidez, dado que otras variables parecen estar participando en el resultado final del ajuste, principalmente el temperamento. Desde los modelos de efectos principales se ha considerado la contribucion indepen-diente de los estilos de crianza y el temperamento sobre el ajuste social posterior, pero estos modelos se han visto insuficientes para explicar la compleja relacion entre estas variables. Por esta razon, se han considerado los modelos interactivos como los mas adecuados en la explicacion de la asociacion entre estilo de crianza, temperamento y ajuste. Desde estos modelos se ha concluido que los estilos de crianza intervienen sobre el ajuste social de forma diferente en funcion de las caracteristicas tempera-mentales mostradas por el nino.
Privacy Preserving Data Sharing Scheme for Group Users in Simulated Cloud

Now a days, Cloud Computing has become the easiest and efficient way of data storage management. As it requires low maintenance, it is more preferable than normal local storage . One of the challenging issue is that sharing of data in the untrusted cloud with privacy of data and identity is complex. This is because the groups are often dynamic, that is there will be an often change in the membership. The solution for the above problem is that a privacy-preserving data sharing scheme was proposed for the dynamic group users in the cloud. It uses the short signature scheme and dynamic broadcast encryption techniques. This data sharing scheme can provide sharing services along without affecting the privacy of the data. Therefore, through this sharing scheme the dynamic group user can share data at low storage and communication overhead and also with low encryption computation cost.
The identification of bands related to yields and stability in maize hybrids and their parental components

Geneticists have been trying to explain adaptability and stability of a genotype in terms of a desirable combination of alleles expressed via epistasis. Stability determined in one set of data is very often stability of a genotype to a prevalent stress factor in a moment of carrying out the experiment. However, grain stability of a certain genotype can be a result of different factors, such as tolerance to drought, or to some important diseases and pests. Yield and yield stability of 15 maize hybrids were observed in 24 environments. The level of the interaction effect of studied maize hybrids was identified by the AMMI analysis, while a number of bands positively related to yield and stability of studied maize hybrids were identified by a genetic characterization by RAPD markers. Bands positively related to yields were present to a greater extent in parents originating from the BSSS population, while bands positively related to stability were more present in parents originating from the Lancaster population. [Projekat Ministarstva nauke Republike Srbije, br. TR 31068]
Incorporating farmed goats into sustainable rangeland grazing systems in southern Australia: a review

The recent trend to farming or re-domestication of feral goats poses serious questions for the ecological sustainability of the semiarid and arid rangelands of southern Australia. This paper reviews aspects of the biology and grazing habits of goats, and aspects of the Australian goat industry, relevant to their sustainable management in livestock enterprises. Key factors identified include high fertility and fecundity even under low seasonal rainfall conditions and a generalist feeding strategy. Adverse consequences for rangeland condition can be expected if seasonal or market conditions result in an imbalance between population growth and turnoff, resulting in high grazing pressures. Given the limited control of the reproductive process at the current stage of the development of goat farming, strategies aimed at ensuring continuity of sale of goats (e.g. on-property feed lots or supply chain and market development) will be important in ensuring that imbalances are avoided. Conservative stocking rates and use of seasonal risk management tools are also particularly relevant. The major research and development needs identified by this review, from a resource management perspective, concern the appropriate dry sheep equivalent rating for goat classes based on age, sex and reproductive status, the extent and consequences of heterogeneity of grazing in space, time, and across forage species, and development of means of establishing sustainable stocking rates based on the use of all available forage sources, including browse.
Do Adults Diagnosed with Autism Spectrum Disorders have an Advantage in Real-World Visual Search Tasks?

Do Adults Diagnosed with Autism Spectrum Disorders Have an Advantage in Real-World Visual Search Tasks? Nicholas Charles Clark Russell Department of Psychology, BYU Master of Science Individuals with Autistic Spectrum Disorders (ASD) often perform better than typically developing (TD) individuals in simple, albeit difficult, visual search tasks. This ability is often attributed to a lack of drive for coherence or superior local processing. We compare thirty adults with ASD with forty-nine TD individuals and twenty-seven adults with anxiety (ANX) across two real-world visual search tasks. Individuals had to find either a number superimposed over a real-world scene (“no context” condition) or an object located in a contextually relevant location (“context” condition). Each participant completed fortyone trials in each condition, each with a unique scene. Eye movements were recorded using an SR Research EyeLink 1000 eyetracker. All groups performed better in the context condition. However, the ASD group was less accurate than both groups, across conditions. All groups were quicker to find the target in the context condition but the ASD group was slower than the TD group. Furthermore, the ASD group took longer to initiate their search, fixate on the target, and decide that they had found the target than the TD group. These results suggest that individuals with ASD are able to integrate contextual information to aid the search but that their previously seen visual search advantage may not transfer to visual searches of real-world scenes.
A HIERARCHICAL SCHEME TO ACHIEVE FIND TIME AND OPERATION ON DOCUMENTS

Many works were suggested in many types of threat to achieve various benefits for search for example single keyword search, multi-keyword rated search, and so forth. Of individuals works, multi-keyword kinds of rated search is becoming more importance because of its realistic effectiveness. We submit a great search method which draws on the tree above encoded cloud information, and it also manages multi-keyword search furthermore to dynamic process on selection of documents. For acquiring of high search effectiveness, we produce a tree-based index structure and propose an formula using the index tree. The forecasted plan is called to provide multi-keyword query furthermore to a particular result ranking, in addition dynamic update above document collections. Due to important structure of tree-based index, forecasted search system will effectively get sub-straight line search serious amounts of manage the operation of deletion furthermore to insertion of documents.
Current Fluctuation Measurements of Amperometric Gas Sensors Constructed with Three Different Technology Procedures

Electrochemical amperometric gas sensors represent a well-established and versatile type of devices with unique features: good sensitivity and stability, short response/recovery times, and low power consumption. These sensors operate at room temperature, and therefore have been applied in monitoring air pollutants and detection of toxic and hazardous gases in a number of areas . Some drawbacks of classical electrochemical sensors are overcome by the solid polymer electrolyte (SPE) based on ionic liquids. This work presents evaluation of an SPE-based amperometric sensor from the point of view of current fluctuations. The sensor is based on a novel three-electrode sensor platform with solid polymer electrolytes containing ionic liquid for detection of nitrogen dioxide − a highly toxic gas that is harmful to the environment and presenting a possible threat to human health even at low concentrations. The paper focuses on using noise measurement (electric current fluctuation measurement) for evaluation of electrochemical sensors which were constructed by different fabrication processes: (i) lift-off and drop-casting technology, (ii) screen printing technology on a ceramic substrate and (iii) screen printing on a flexible substrate.
Dynamical processes on dissortative scale-free networks

Many real-world networks exhibit scale-free degree distributions together with dissortative degree correlations. Such networks exhibit interesting structural and dynamical features, especially in the limit of maximal correlations. In the latter case, the network vertices are shown to form nested bilayers, the number of which grows with network size N but saturates for large N. This bilayer structure strongly affects the properties of dynamical processes on such networks and implies a large number of attractors that govern the long-time behavior of these processes. Surprisingly, the most complex dynamical behavior is found for intermediate rather than for large network sizes.
The Effect of Literacy on Immigrant Earnings

We examine the impact of literacy on immigrant earnings and the sources of lower returns to education and experience among immigrants. We find that the native-born literacy distribution dominates that for immigrants. However, the two groups obtain similar returns to literacy skills, contrary to discrimination-based explanations for immigrant—native-born earnings differentials. Among the university-educated, literacy differences account for about two-thirds of the earnings gap. However, low returns to foreign experience have a larger impact on this differential. Among the less educated, literacy differences and differences in the returns to experience have similar effects on the earnings differential.
Unified Procedures for Quality Controls in Analogue and Digital Mammography

Breast cancer is the most commonly diagnosed cancer in women [1]. Current attempts to control breast cancer concentrate on early detection by means of massive screening cam‐ paign, via periodic mammography and physical examination, because ample evidence in‐ dicates that such screening indeed can be effective in lowering the death rate [2]. Early diagnosis of breast cancer plays a leading role in reducing the mortality and improving the prognosis of this disease [3].
Public relations: Pathway for the entrepreneur to achieve enduring client-customer relationship. Evidence from three Nigerian SMEs

The study examined the relationship between effective use of Public Relations and attainment of organizational goals. It further examined how customer loyalty can be enhanced through effective use of public relations, amongst others. The paper applied a mixture of exploratory and descriptive designs. It involves administering a semi-structured questionnaire to sampled respondents. Information gathered from the field was analyzed using correlation test statistics. This was due to the nature of the hypotheses. Findings showed that there is significant relationship between effective use o public relations and attainment of organizational goals. Findings further revealed that there exist a strong relationship between effective use of public relations and creation of client customer relationship. The paper makes strategic policy recommendations which companies will find useful when implemented.
Kalman filter methods for real-time frequency and mode number estimation of MHD activity in tokamak plasmas

Magnetohydrodynamic (MHD) activity in magnetically confined fusion experiments is often associated with detrimental effects such as increased radial transport and consequent loss of confinement. In particular, the (2,1) neoclassical tearing mode (NTM), when proceeding to mode-locking, is a potentially disruptive instability hence with the potential to compromise the mechanical integrity of the machine. It is therefore quite significant to be able to characterize in real-time the most virulent and performance limiting instabilities such that adequate mitigation or complete stabilization using feedback control methods are employed during the plasma discharge. This work proposes a Kalman filter (KF) based mechanism for providing, in real-time, the amplitude and phase evolution of instabilities within a predefined set of mode numbers. The method relies on two KF implementations: a non-linear KF isolating the non-stationary dominant signal component of a sensor measurement and subsequently a linear KF which projects the former, for a collection of sensors, onto a predefined set of mode numbers. A basic overview of algorithms commonly used for real-time mode number analysis is also presented along with applications of the proposed algorithm to recently recorded data of the Joint European Torus (JET) tokamak.
Evaluation of global observations‐based evapotranspiration datasets and IPCC AR4 simulations

Quantification of global land evapotranspiration (ET) has long been associated with large uncertainties due to the lack of reference observations. Several recently developed products now provide the capacity to estimate ET at global scales. These products, partly based on observational data, include satellite‐based products, land surface model (LSM) simulations, atmospheric reanalysis output, estimates based on empirical upscaling of eddy‐covariance flux measurements, and atmospheric water balance datasets. The LandFlux‐EVAL project aims to evaluate and compare these newly developed datasets. Additionally, an evaluation of IPCC AR4 global climate model (GCM) simulations is presented, providing an assessment of their capacity to reproduce flux behavior relative to the observations‐based products. Though differently constrained with observations, the analyzed reference datasets display similar large‐scale ET patterns. ET from the IPCC AR4 simulations was significantly smaller than that from the other products for India (up to 1 mm/d) and parts of eastern South America, and larger in the western USA, Australia and China. The inter‐product variance is lower across the IPCC AR4 simulations than across the reference datasets in several regions, which indicates that uncertainties may be underestimated in the IPCC AR4 models due to shared biases of these simulations.
APPLICATION OF GLYCINEBETAINE UNDER WATER DEFICIT CONDITIONS 1293 Determination of mineral elements : The dried ground material ( 0 . 1 g ) of leaves or roots was digested following

The ameliorative effect of pre-sowing seed treatment with glycinebetaine (GB) on growth attributes, gas exchange characteristics, and root and shoot mineral nutrients of wheat was observed under water deficit conditions. Five wheat cultivars viz., SARC-I, Inqlab-91, MH-97, Bhakkar and S-24 were grown under well-watered and 60% field capacity. Three levels of GB (0, 50 and 100 mM) were applied as pre-sowing seed treatment. Drought stress caused reduction in shoot fresh and dry biomass, shoot length, leaf area per plant, grain yield, net CO2 assimilation and transpiration rates, and stomatal conditions. However, exogenous application of GB as a pre-sowing seed treatment increased shoot fresh biomass and leaf area per plant while its effect was non-significant on net CO2 assimilation rate, stomatal conductance and water use efficiency, and shoot and root N, K, Ca and P. Overall, GB applied @ 50 mM showed the maximum effect in ameliorating growth of wheat plants under drought stress. Cultivars SARC-I, Inqlab-91 and S-24 were better as compared to others in their response to drought or GB application.
The island immaturity – speciation pulse model of island evolution: an alternative to the “diversity begets diversity” model

R. J. Whittaker (robert.whittaker@ouce.ox.ac.uk), R. J. Ladle and M. B. Araujo, Biodiversity Research Group, Oxford Univ. Centre for the Environment, Univ. of South Parks Road, OX1 3QY, UK (present address of M. B. A.: Dept of Biodiversity and Evolutionary Biol., National Museum of Natural Sciences, CSIC, C/Gutierrez Abascal, 2 ES-28006, Madrid, Spain). J. M. Fernandez-Palacios, J. D. Delgado and J. R. Arevalo, Dept de Ecologi a, Facultad de Biologi a, Univ. de La Laguna, ES-38206 La Laguna, Tenerife, Islas Canarias, Spain.