Miracle-dz/UniFAR-FTUs huggingface dataset:
SEASONAL VARIATION IN THE DISTRIBUTION AND ISOTOPIC COMPOSITION OF PHYTOPLANKTON IN AN AMAZON FLOODPLAIN LAKE, BRAZIL

To evaluate the seasonal variation and isotopic composition of phytoplankton, water samples were collected monthly between October 2007 and November 2008 in Lake Catalao, a floodplain lake at the confluence between rivers Negro and Amazon. Analyses of total chlorophyll concentration and δ 13 C and δ 15 N isotopic abundances were made from particulate size fractions of 30-60, 10-30 and <10 µm in the littoral, pelagic, and floating meadows regions. Chlorophyll concentration was found to be inversely associated to lake depth, and high concentrations of chlorophyll in the floating meadows zone were significant. The fraction <10 µm was the most abundant representing in average more than 40% of the particulate matter. The δ 13 C values were relatively constant during the study (-25.1‰ ~ -34.0‰), whereas the δ 15 N values showed strong variability (15.6‰ ~ 2.4‰), which has been attributed to the resuspension of sediments during mixing of the water column. Mixing associated to the sudden drop in temperature during the rising water period was an important event in the trophic and isotopic dynamics of the lake. Variations in chlorophyll content were generally associated with the dilution process, in which concentration was inversely correlated to the water level, whereas abundance was directly correlated to the water level. VARIACION ESTACIONAL DE LA DISTRIBUCION Y COMPOSICION ISOTOPICA DEL FITOPLANCTON EN UN LAGO DE INUNDACION EN LA AMAZONIA, BRASIL. Con el proposito de evaluar la variacion estacional de la abundancia isotopica (δ 13 C e δ 15 N) del fitoplancton, muestreos mensuales fueron realizados entre octubre de 2007 y noviembre de 2008 en el lago Catalao, un lago de inundacion en la zona de confluencia de los rios Negro y Solimoes, ubicado frente a la ciudad de Manaus (AM, Brasil). Analisis de la clorofila total y evaluaciones de la abundancia natural de δ 13 C y δ 15 N fueron realizados en las fracciones particuladas de 30-60, 10-30 y <10 µm en las zonas litoral, pelagica y de macrofitas acuaticas. La concentracion de clorofila presento una relacion inversa con la profundidad del lago, siendo relevantes las altas concentraciones encontradas dentro del tapete de macrofitas acuaticas. La fraccion <10µm fue la que presento la mayor concentracion de clorofila, representando mas del 40% del material particulado. Los valores de δ 13 C fueron relativamente constantes durante el periodo de estudio (-25,1‰ ~ - 34‰), mientras que la abundancia natural de δ 15 N presento una amplia variacion (15,6‰ ~ – 2,4‰), que fue atribuida al proceso de resuspension de los sedimentos en los procesos de mezcla de la columna de agua. En este contexto, el fenomeno de la mezcla asociada con la friaje durante el periodo de aguas altas, fue un evento importante en la dinamica trofica e isotopica del lago. En general las variaciones de la concentracion de clorofila fueron asociadas al proceso de dilucion, en el cual la concentracion es inversa y la abundancia es directamente relacionada con el nivel del agua.
The dragonfly Libellula quadrimaculata (Odonata: Libellulidae) makes optimal use of the dorsal fovea of the compound eyes during perching

We studied visual orientation and perching behaviour of a territorial libellulid dragonfly species, Libellula quadrimaculata. The studies were performed during sunny, cloudless conditions at a pond in southern Styria, Austria, from May to July of 2001 and 2002. Individual males were observed for periods of 3 to 4 weeks.We measured dragonfly's horizontal orientation relative to the solar azimuth, and vertical orientation relative to the solar altitude. The measurements indicated that the males had a favourable view of the sky during perching. In addition, the relative amounts of ultraviolet (UV) and blue-violet radiation in scattered light (not direct sunlight) were calculated for the whole sky and for the section of the sky viewed by the fovea. Our results show that the dorsal fovea is directed preferentially toward a section of the sky away from the sun, with less radiation but a higher UV and blue-violet saturation.The present findings fit in well with the hypothesis, based on optical and physiological data, that the fovea, which is sensitive only to blue and UV radiation, is optimally suited to the detection of small, rapidly flying insects against the blue sky. The findings supply the first behavioural correlates of this foveal specialisation.
A Systematic Review of Behavioral Approaches to Treat Pediatric Sleep Disturbances

This paper begins with an overview of the history of behavioral treatments used to treat pediatric sleep disturbances. Next, the paper analyzes the results of a systematic literature conducted to identify trends in pediatric sleep disturbance research. Only peer-reviewed, experimental studies with participants ages 2-12, designed to treat sleep refusal using extinction, graduated extinction, or bedtime routine procedures were included. A total of 23 studies were included in the analysis; 12 of the 23 studies were extinction, 7 were graduated extinction, and 4 were bedtime routine. Data related to authors, year published, number of participants, participant ages, participant diagnoses, independent variable, dependent variable, experimental design, follow up measures, treatment measures, and treatment outcome were extracted. Trends related to the inclusion of functional analysis methodology, treatment acceptability measures, and longterm follow up measures are discussed. Trends related to demographic information and prevalence are also presented. The results highlight the need for experimentally sound studies that use single case methodology, include replications, collect objective measures, and include follow up measures at least one year post-treatment.
Do we have enough knowledge to win the fight against ovarian cancer

Epithelial ovarian cancer is a malignancy of the ovaries. The exact origin of ovarian cancer cells is still under ongoing scientific debate. Early detection is very crucial for a favorable prognosis in ovarian cancer patients, and that will increase the chance of survival by 90% [1]. However, it is uncommon for patients to be diagnosed at the early stage of the disease because the signs and symptoms are easily dismissed. As a result, most patients has been presented at the advanced stage 3 or stage 4 ovarian cancer. At these stages, patients will have a slim survival rate below 30% [1]. Ovarian cancer at stages 3 and 4 displays an extensive spread of cancer cells within the abdominal cavity, and tumor nodules reside on the internal organs [2]. The choice of chemotherapy is very limited to treat advanced ovarian cancer. There are several cytotoxic agents used in the treatment of other cancers which potentially slow down tumor growth, but we cannot predict the efficacy of these agents in advanced ovarian cancer because selective clinical trials showed ineffectiveness of some of these agents and variation in patient’s responses [3].
a Framework for Low-Cost Multi-Platform VR and AR Site Experiences

Abstract. Low-cost consumer-level immersive solutions have the potential to revolutionize education and research in many fields by providing virtual experiences of sites that are either inaccessible, too dangerous, or too expensive to visit, or by augmenting in-situ experiences using augmented and mixed reality methods. We present our approach for creating low-cost multi-platform virtual and augmented reality site experiences of real world places for education and research purposes, making extensive use of Structure-from-Motion methods as well as 360° photography and videography. We discuss several example projects, for the Mayan City of Cahal Pech, Iceland’s Thrihnukar volcano, the Santa Marta informal settlement in Rio, and for the Penn State Campus, and we propose a framework for creating and maintaining such applications by combining declarative content specification methods with a central linked-data based spatio-temporal information system.
Transferring New Dynamic Capabilities to SMEs: The Role of ONERA – The French Aerospace LabTM in Promoting Asymmetries Management

The technology transfer process between a public laboratory and a company has been the subject of many publications and has been widely discussed in economic theory. This paper highlights several newly identified asymmetries occurring between the different agents taking part in the process, dealing specifically with the aerospace and defense sectors in France. These specificities concern the characteristics, capabilities and competencies (the ‘capacities') of French SMEs and public research laboratories. The theoretical corpus of the article draws partly upon the analyses of ‘dynamic and interactive capabilities' (and competencies), and for the rest upon empirical sources, being based on the recent experience of one of the most dynamic Technology Transfer Offices (TTOs) in France: the case of ONERA (the National Office for Aerospace Studies and Research) and its dyadic relations with the SMEs. In such a cooperative, interactive innovation process, we will argue that certain collaborative tools or practices emerge, aimed at reducing information asymmetries or acting as compensation mechanisms for other types of asymmetries between the partners at a microeconomic level; especially in France where there is a gap between the public R&D laboratories and the SMEs in terms of Technology Readiness Levels (TRLs). Some of these compensation mechanisms, particularly those related to the knowledge economy, could be adapted and reshaped for agents engaged in R&D and innovation in various other sectors, perhaps inducing positive amplification effects on innovation behavior, and thereby on economic growth at the macroeconomic level within the “national innovation system”. This research work initiated by the author further to his economic research works on “innovation actors' asymmetries” (Paun, F., 2009) and “hybridizing tendency of the innovation approaches” (Paun, F., 2010) is based on the empirical study about eighty SMEs partners of ONERA coordinated by Florin Paun as Deputy Director in charge with Industrial Innovation at ONERA in order to better understand the barriers perceived inside this relationship and with the aim to envisage systemic solutions for accelerating innovation. A specific questionnaire has been developed by Florin Paun and more then forty interviews have been thus conducted with scientists and industrial representatives involved in direct collaborations linked to technology or knowledge transfer.
Fuzzy based Feature Selection Scheme through Transductive SVM Technique for Cancer Pattern Classification and Prediction

Objectives: A reliable and precise classification of tumor types is of great importance and essential for successful Diagnosis and Drug Discovery. Methods: Gene expression profiling has shown a great prospective in the outcome prediction of different types of Cancers, with the innovation of Microarray Technology. Microarray cancer data, which have been organized as samples versus genes fashion, are being exploited for the tissue sample classification. They are also useful for identifying potential gene markers in each subtype of cancer, that helps to analyze a particular cancer type in a successful manner. Findings: In this paper a new method for classification based on Fuzzy Rough-Set Feature Selection Approach through Transductive SVM Technique, which is called as FFS+TSVM is proposed. Moreover recently, for Cancer Pattern Classification, a combined Consistency based Feature Selection Approach through Transductive Support Vector Machine (CBFS+TSVM) has proposed and its prediction accuracy has encouraged than that of existing other Classifiers. However, from the literature survey, it is revealed that the performance of the existing scheme can be improved if Fuzzy Rough Set Approach for Gene Feature Selection with Transductive Support Vector Machine is employed. The present work is implemented with the help of Bio Weka and studied thoroughly in terms of Computational Cost, Dimensionality Reduction, Threshold, Classification Error and Classification Accuracy. Applications/Improvements: The proposed work outperforms the existing Transductive Support Vector Machine (TSVM) in terms of Dimensionality Reduction, Threshold, Classification Error and Classification Accuracy for various Cancer Patterns.
Haplotype distribution and connectivity of the white sea urchin Tripneustes ventricosus across the Brazilian biogeographic province

Sea urchins play important roles in marine ecosystems as key herbivores and some species have wide geographic range. The Atlantic white sea urchin Tripneustes ventricosus is abundant in many rock reefs of the eastern and western Atlantic, and may be found in high densities in Atolls and Archipelagos. Despite the importance of sea urchins in insular ecosystems, there is no study evaluating the genetic structure and the origin of the white sea urchin in isolated ecosystems. Such information is crucial to understand the connectivity and genetic diversity of these populations from the tropical Atlantic provinces. To evaluate the origin of the white sea urchin in Fernando de Noronha Archipelago and the genetic features of this population, we conducted studies on the population structure of the white sea urchin using mitochondrial DNA (COI), in two regions within the Brazilian biogeographic province and compared with other regions in the Atlantic. The white sea urchin from Fernando de Noronha was found to be genetically distinct, with F ST ranging from 0.3 to 0.9 from other populations in Atlantic. The sharing of haplotypes between the Brazilian coast and the archipelago suggests that insular species derived from the Brazilian coast, rather than the East Atlantic. Moreover, all other Atlantic populations were genetically isolated, with low genetic diversity being a common characteristic among them (ranging from 0.0011 to 0.0022). The low connectivity found within populations might be related to the presence of soft barriers among the Brazilian biogeographic province. The low nucleotide diversity may also suggest that T. ventricosus may have undergone bottleneck processes at some stage of their evolution. This study has important implications on the geographic distribution, population structure and gene flow of the
Aerodynamic Analysis of wind turbine

The thesis investigates the application of vortex theory for analyzing the aerodynamic loads on wind turbine blades. Based on this method, a graphical user friendly program is developed to be used by the industry. The method, however, requires airfoil data of each section of the blade geometry. To this end, a newly published transitional turbulence model and a variation of Explicit Algebraic Reynolds stress models (EARSM) are implemented into the CALC-BFC CFD solver and their potential for calculating airfoil characteristics are studied and compared to the XFOIL program. A hyperbolic mesh generation program is also developed to provide high quality grids for CFD simulations. The overall performance of the method is evaluated against a full 3D CFD analysis by ANSYS-CFX solver.
Chemical Sensors Synthesis of ZnMn 2 O 4 microspheres for electrochemical sensing of hydrogen peroxide

In this work, ZnMn2O4 microspheres (ZMO-MSs) were synthesized by solvothermal method. The synthesized microspheres were characterized by X-ray diffraction, scanning electron microscopy, energy-dispersive spectroscopy and X-ray photoelectron spectroscopy. The ZMO-MSs exhibited excellent electro-reduction performance towards H2O2 in alkaline media. The ZMO-MSs modified glassy carbon electrode was investigated by cyclic voltammetry and amperometry. Linear amperometric responses for H2O2 was obtained in a wide range from 0.02 to 15 mM with detection limit of 0.13 M and high sensitivity of 277.1 mA mMcm. The proposed sensor was successfully applied for the determination of H2O2 in milk, indicating a promising platform for practical applications.
STORING DICTIONARIES AND THESAURUSES USING NL-ADDRESSING

Our main goal in this paper is to propose a new approach for storing dictionaries and thesauruses using only the names but not pointers and this way to simplify and to speed up the corresponded computer programs. It is called "Natural Language Addressing" (NLA). This approach is a possibility to access information using natural language words or phrases as direct addresses of the information in the computer memory. For this purpose the internal encoding of the letters is used to generate corresponded address co-ordinates. This paper outlines the main idea of NLA approach. An extended example based on the WordNet thesaurus is given.
The story of the British Museum

Here, Caygill tells the history of the British Museum from its foundation by Act of Parliament in 1753 to the present day. She has drawn on contemporary newspapers, journals, diaries and the Museum's own archives to bring to life the personalities - the eccentric, the brilliant and the not-so-brilliant - who have peopled the Museum's galleries and imbued it with its own distinctive character.
Electromagnetic Force on Anisotropic-Conducting Film

Electromechanical interaction between slow electromagnetic wave and anisotropicconducting film is investigated. The physical effects associated with anisotropic-conducting film are revealed by electromagnetic theory and validated by experiment, and they have established the working principles for a class of electromechanical sensors and/or actuators, which have continuously moving part, and are sensitive to the amplitude and the direction of electromagnetic forces or fields and well able to reflect the resonance characteristics. The revealed and validated physical effects may have significance in quite different science and engineering fields and in wide frequency bands from RF to optics.
Financial Crisis and the Comovements of Housing Sub-markets: Do relationships change after a crisis?

This study of the co-movements of the transaction prices and trading volumes reveal that the mean correlation of prices, and trading volumes alike, among different housing sub-markets increases during the market boom. After a financial crisis, the correlations drop dramatically and stay low. The distribution of the correlations changes from skewed to symmetric. All these coincide with the increase in the total variance of prices, as well as the share of the idiosyncratic component in the total variance after the crisis. These findings are consistent to a family of theories which emphasize on “regime switch” in expectation.
Aggregation and Aggregation

We discuss economic aggregation and political aggregation in the context of a simple dynamic version of the canonical political-economy model--the Meltzer-Richard model. Consumers differ both in labor productivity and initial asset wealth and there is no physical capital. Under commitment over future tax policy, and for economic preferences that imply aggregation in assets and productivity, the induced policy preferences for individuals do not depend on any distributional characteristics other than means. They imply time inconsistency, with taxes changing between the first and the second periods and staying constant thereafter. Political aggregation in the form of a median-voter theorem applies only in special cases. (JEL: D72, D78, E61, H23) (c) 2008 by the European Economic Association.
Semiautomatic prediction of main tree species using multi-temporal ADS40 data

Introduction New methods for the extraction of forest attributes from airborne remote sensing data have grown over time and will continue to do so in the future since exact information on forest extend, structure and composition is needed for many environmental, monitoring or protection tasks. The present study focuses on the prediction of tree species for different types of forests and was carried out in the framework of the Swiss National Forest Inventory (NFI) (Brassel and Lischke 2001). Tree species classification is highly correlated to a large number of other forestry attributes (e.g. composition, biomass, tree damage etc.) and is an essential index in forest studies, inventories, management and other forest applications. Several studies have integrated multisensor data to estimate forest attributes such as forest area (Waser et al. 2008a), forest composition (Straub 2003, Lamonaca et al. 2008), tree height and tree species (Holmgren and Persson 2004, St-Onge et al. 2004, Persson et al. 2006, Heinzel et al. 2008, Waser et al. 2008b). Thus, airborne digital sensor data ADS40 in combination with regression analyses are promising for modeling forest composition and tree species. The objective of this study is to develop a semi-automated method for prediction of main tree species in different types of forests to support tasks of the Swiss NFI. This approach is based on logistic regression models with spectral and geometric input variables derived from airborne digital sensor data ADS40. Continuity of this approach will be guaranteed since the input data will be available every three years nationwide and both forest area and tree species classification are based on one single sensor. Since the yearly acquisition of ADS40 data is performed between May and October, we also tested a multi-temporal approach in this study. Preliminary results are very promising for future monitoring, updating and management tasks of a continuous Swiss NFI.
COMPENSATOR TUNING FOR DISTURBANCE REJECTION ASSOCIATED WITH DELAYED DOUBLE INTEGRATING PROCESSES, PART I: FEEDBACK PD COMPENSATOR

The purpose of this paper is to investigate the possibility of using a feedback PD compensator for disturbance rejection associated with delayed double integrating processes. The MATLAB optimization and control toolboxes are used to tune the PD compensator using five error-based objective functions. The best objective function for this control application is assigned. The effect of the process time delay on the performance of the control system during the process of disturbance rejection is investigated. The effectiveness of using the feedback PD compensator is quantitatively evaluated.
Demand-Side Programs to Stimulate Adoption of Broadband: What Works?

We examine the evidence available on the efficacy of demand-side programs intended to stimulate broadband adoption. We review studies that attempt to measure results. Our suggestions for future program evaluations are to include cost-benefit analysis as a standard part of program review and to make clear that the purpose of evaluation is to assess progress made toward the ultimate policy goals rather than the programs proximate implementation goals. Appropriate data must be collected to draw conclusions, and appropriate statistical methods must be used to determine the causal impacts of a program. This has rarely been done to date.
Challenges and Vulnerabilities of Analysing Cybercrime Costs

Recent studies have underlined a limited scope of research published with regard to the impact of cybercrimes, which is investigated by applying the scientific literature analysis and surveys. This paper focuses on in-depth research on cybercrime costs by analysing the information from selected online materials in order to reveal a research gap. To support the contributions of the research in the field, two methods, namely, literature review and statistical analysis were employed. The findings reveal that several interested parties such as independent IT companies, governmental and non-governmental institutions have conducted various surveys to identify the impact of cyberattacks. The main challenges and vulnerabilities of analysing cybercrime costs can be overcome by further investigations.