Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimating the weight of polar bears from body measurements

We measured chest girth, total body length, neck circumference, and zygomatic width of polar bears (Ursus maritimus) to determine an accurate predictor of live weight. The derived equations for males and females were weight = 0.000476(chest girth)269 (r2 = 0.97) and weight = 0.000775(chest girth)259 (r2 = 0.95), respectively. Our equations were accurate for all bears >100 kg. J. WILDL. MANAGE. 53(1):188-190 Weight measurements of wild animals are useful for wildlife research and management (Talbot and McCulloch 1965). They serve as indicators of physical condition and may reflect habitat conditions and food availability. Unfortunately, measurements of weight of large animals are difficult to obtain (Cherry and Pelton 1976). Various body parameters have been examined to determine their suitability as accurate predictors of live weight (Bandy et al. 1956, McEwan and Wood 1966, Cherry and Pelton 1976). Several studies demonstrated that accurate estimates of weight can be derived from measurements of chest girth (Payne 1976, Urbston et al. 1976, Kelsall et al. 1978). In the past, weights of polar bears have been obtained by measuring chest girth with a cattle weight tape (Ketchum Mfg. Sales, Ltd., Ottawa, Ont.) (Stirling et al. 1977:54). A high correlation (r2 = 0.97) (n = 97) existed between scale and tape weights; weights of polar bears in the Churchill, Manitoba, area could be predicted to within 92% of the scale weight using a weight tape (Stirling et al. 1977). However, Stirling et al. (1977) did not measure bears >400 kg. A population study of polar bears along the On ario coast of southern Hudson Bay afforded the opportunity to investigate relationships between weights and selected body measurements. Our objective was to determine which sex-specific body measurements provided the most accurate predictor of live weight. S. Anderson, D. S. Andriashek, J. M. Broadfoot, J. F. Danyluck, C. A. Deary, J. J. Doyle, C. D. Hendry, M. J. Hunter, D. G. Joachim, C. F. Lauer, D. R. McKnight, M. A. Regis, W. H. Rohr, H. L. Smith, J. E. Thompson, and R. E. Wheeler provided field support. D. H. Belanger, J. E. Bell, J. R. Kenrick, W. R. Lannin, G. F. McAuley, C. D. MacInnes, T. J. Millard, R. P. Seguin, G. J. Smith, S. J. Toole, and J. K. Young This content downloaded from 157.55. 39.116 on Sun, 18 Sep 2016 06:41:36 UTC All use subject to http://about.jstor. org/terms J. Wildl. Manage. 53(1):1989 POLAR BEAR WEIGHTS * Kolenosky et al. 189 provided administrative and logistic support. The Ontario Government Air Service, S. Hemphill and G. Ertel of Ranger Helicopters, and G. Lester and R. A. Laporte of Huisson Aviation provided support. B. Wilkinson typed the paper and C. D. MacInnes reviewed an early draft. This is contribution 87-10 of the Wildlife Research Section, Ontario Ministry of Natural Resources, Maple.
Sublethal Effects of Malathion on Biology and Population Growth of Khapra Beetle, Trogoderma granarium Everts (Coleoptera: Dermestidae)

Khapra beetle, Trogoderma granarium Everts is a serious pest that affects stored grains and oilseeds. The current work was carried out to investigate the effect of malathion sublethal concentrations (LC10 and LC40) exposed to first and fourth larval instars on biological aspects and population growth of T. granarium. Results indicated that exposure of 1-st instar to either LC10 or LC40 had a destructive effect and treated larvae failed to complete their larval stage. While 4-th instar exposed to the same sublethal concentrations completed their life cycle with considerable impacts on biological aspects and life table parameters. Treatments increased the number of instars molting reaching seven or eightinstars. In contrast, larval, pre-adult, and total longevity periods were decreased in treatments compared with control. Concerning life table parameters such as net reproductive rate (R0), intrinsic rates of increase (r), finite rate (λ), fecundity and mean generation time (T) were decreased compared to control. The current study clarified thatsublethal concentrations of malathion induce strong adverse effects and suppress the population growth of T. granarium. Our results would be useful to assess the overall effects of malathion on T. granarium and can contribute effectively in pest management.
A High Resolution Balanced Scheme for an Idealized Tropical Climate Model

We propose a high resolution balanced numerical scheme for a simplified tropical climate model with a crude vertical resolution, reduced to the barotropic and the first baroclinic modes. The two modes exchange energy through highly nonlinear interaction terms. We consider a periodic channel domain, oriented zonally and centered around the equator and adopt a fractional splitting strategy, for the governing equations, into three natural pieces which independently preserve energy. We obtain a scheme which preserves geostrophic steady states with minimal ad hoc dissipation by using state of art numerical methods for each piece: The f-wave algorithm for conservation laws with varying flux functions and source terms of Bale et al. (2002) for the advected baroclinic waves and the Riemann solver-free non-oscillatory central scheme of Levy and Tadmor (1997) for the barotropic-dispersive waves. Unlike the traditional use of a fractional splitting procedure for conservation laws with source terms (here, the Coriolis forces), the class of balanced schemes to which the f-wave algorithm belongs are able to preserve exactly, to the machine precision, hydrostatic (geostrophic) steady states. The interaction terms Correspondence to: B. Khouider (e-mail: khouider@math.uvic.ca, phone: 1-250-721-7439, fax: 1-250-721-8962) 2 Boualem Khouider et al. are gathered into a single second order accurate predictor-corrector scheme to minimize energy leakage. Validation tests utilizing known exact solutions consisting of baroclinic Kelvin, Yanai, and equatorial Rossby waves and barotropic Rossby wave packets are given. The overall scheme is then tested on some barotropic-baroclinic solitary waves, recently discovered by Biello and Majda (2004). The scheme is also tested on a simple convective parametrization for the propagation of precipitation fronts at large scales (Frierson et al. 2004) and their interaction with gravity waves, the effect of their advection by a barotropic trade wind, and their behavior under the beta effect, given the abundance of diverse equatorial waves with which they could interact.
Iodometric determination of cystamine dihydrochloride in tablets using diperoxyadipic acid

The kinetics of cystamine dihydrochloride oxidation by diperoxyadipic acid (DPAA) was studied in aqueous buffer solutions of pH 2.9, 6.9, 8.0, 8.5 and 9.2 under second-order conditions at the temperature 293 K. The second order rate constants, k (L mol −1 min −1 ) were calculated from kinetic values. A suitable mechanism scheme based on these observations was proposed. The possibility of application of DPAA as reagent for oxidimetric determination of cystamine dihydrochloride in tabtets was investigated. Cystamine dihydrochloride was determined by indirect titration with DPAA. The required amount of Cystamine dihydrochloride was dissolved in water, pH 8.0 buffer solution and DPAA solution was added. After 7 min, the solution was acidified. The excess DPAA was determined via iodometric titration. The advantages of the applied analytical techniques in the determination of cystamine dihydrochloride in tablets «Cystamine 0.2 g» was presented. The recovery of сystamine dihydrochloride was 99.32±1.45%. A paired t-test showed that all results obtained for bulk drug and in tablets «Cystamine 0.2 g», using the proposed procedure and the official procedure respectively, agreed at the 95% confidence level.
X-Ray radiography – A quick method for determining the seed filling in grasses

The seeds of the range and cultivated grass species viz., Bothriochloa intermedia, Brachiaria decumbens, Cenchrus ciliaris (CAZRI-75 and 2178), C. setigerus, Chrysopogon fulvus, Dichanthium annulatum, Heteropogon contortus, Panicum maximum (Hamil, Wild hairy, var. BG-1and BG-2), Pennisetum pedicellatum (var. BD-1 and BD-2), Sehima nervosum, Setaria anceps and S. sphacelata were evaluated for seed filling using X-Ray machine. The results obtained are comparable with the results of manual dehusking of the seeds and visual observations. Among some species such as C. setigerus, C. fulvus, S. nervosum, S. anceps and S. sphacelata, slight differences (0.6–3.5 percent plus minus) in seed filling was observed in the results obtained with manually dehusking and X-ray radiography. So the x-ray radiography offers a quick, reliable and non-destructive method for rapid identification of seed filling in grasses.
Phylogenetic Relationships in Subfamily Tillandsioideae (Bromeliaceae) Using ndhF Sequences

Nucleotide sequences of the plastid locus ndhF are used to examine phylogenetic relationships among 25 representative species of subfamily Tillandsioideae. Genetic divergence among bromeliad taxa is low for ndhF sequences, ranging from 2.1% between Catopsis zvangerinii and Tillandsia tricholepis, to 0.2% between several species of Guzmania, Mezobromelia, and Vriesea. Parsimony analysis produced six shortest trees of 216 steps. These results: 1) suggest Tillandsioideae as traditionally circumscribed is monophyletic; 2) place Catopsis and Glomeropitcairnia in a clade that is the sister group to the remainder of the subfamily; 3) indicate Vriesea is a paraphyletic grade from within which Tillandsia and Guzmania have arisen, and 4) suggest Mezobromelia is more closely related to Vriesea subg. Vriesea sect. Xiphion than its traditionally recognized sister-group, Guzmania. All subgenera and sections of Tillandsia and Vriesea for which at least two taxa are sampled are paraphyletic. ndhF sequences support sister-group relationships for Tillandsia utriculata (subg. Tillandsia) and Vriesea espinosae (subg. Vriesea sect. Vriesea), as well as for Tillandsiafutnckiana (subg. Tillandsia) and Vr-iesea malzinei (subg. Vriesea sect. Xiphion). Other clades well supported by these data include Tillandsioideae sensu stricto (excludes Catopsis and Glomeropitcairnia) and a component of Vriesea subg. Vriesea sect. Xiphion. Poor resolution and weak branch support for many clades in the ndhF trees suggests that information from more highly variable sequences or the combining of data sets will be required for a clearer understanding of phylogenetic relationships in Tillandsioideae.
BI Tools Analysis According to Business Criteria as Data Integration Possibilities, Hardware Speci ﬁ cation, Tools for Data Visualization and Comparison of Used Technologies

B usiness Intelligence (BI) is software tool that transforms raw data into information and knowledge, enabling managers to identify, develop or create new strategic business opportunities. Nowadays, BI tools are widely accepted, given that they provide direct access to users with intuitive information generated by real-time data, which can create a competitive advantage. This paper analyzes business intelligence software tools that are highest positioned at the Business intelligence Gartner’s Magic Quadrant (QlikView, Tableau and Microsoft PowerBI) from a multi-criteria perspective in order to get an idea of the key performance indicators, such as: data integration capabilities, hardware speci ﬁ cations, tools for data visualization and comparison of the used technologies. The theoretical analysis is mainly based on the research from available literature on Internet and the visualizations are derived from the practical application of these software tools. The acquired knowledge in this paper will be particularly important for users interested for this kind of software to gain more knowledge when choosing the appropriate BI solution to meet their speci ﬁ c business needs.
GENETIC DIVERSITY AND MANAGEMENT IMPLICATIONS FOR VICUÑA POPULATIONS

J.C. Wheeler, M. Fernandez, R. Rosadio, D. Hoces, M. Kadwell, M.W. Buford CONOPA, Los Cerezos 106, Lima 3, Perú; email jwheeler@conopa.org; Facultad de Medicina Veterinaria, Universidad San Marcos, Lima, Perú; Consejo Nacional de Camelidos Sudamericanos, CONACS, Lima, Perú; 4Conservation Genetics Group, Institute ofo Zoology, Regent's Park, London, U.K.; Cardiff School of Biosciences, Cardiff University, Cardiff, U.K.
Sri Lanka Journal of Management Studies | Volume 1- Issue II, December 2019-1-CAPITAL STRUCTURE, INDUSTRY INFLUENCE, AND FINANCIAL PERFORMANCE: EVIDENCE FROM SRI LANKA

This study examines the impact of capital structure together with their industry influence on financial performance of the companies listed in the Land and Property, Plantation, Beverage Food and Tobacco sectors of the Colombo Stock Exchange (CSE) for a period of five years from 2011 to 2016. Data for the study was collected from published annual reports and the sample consists of 51 companies in these sectors. Regression based capital structure models were employed to investigate the phenomenon. The results reveal that the return on assets ratio is significantly correlated with all the capital structure proxies and the net profit margin has significant correlations with the long term debt to funds ratio and total debt to funds and short term debt ratio. The long term debt to funds ratio and the total debt to funds ratio are significant in determining the return on assets ratio. The long term debt to funds ratio has a significant relationship with the return on equity ratio. Moreover, industry in which a company operates has a significant impact on the level of financial performance. The findings of the study are important for managers, existing and potential investors and future researchers. Managers should focus on the results of the study on the impact of capital structure on financial performance when determining the sources of financing to minimise the cost of capital and to enhance profitability. The investors should focus on the same when making investment decisions and identifying the impact of the capital structure on return enables them to make informed decisions.
Diversity and structure of Ardeidae population in the international wetland of South-East Benin (Ramsar site 1018)

Ardeidae constitute one of most encountered bird groups in wetlands. But there are few data on the diversity and structure of their population in the South-East of Benin. In order to characterize their population, a monthly counting has been carried out between January 2015 and December 2016 on LN, SR, PL, OR and OL. Direct counting and fix station technics were applied. A total of 12 Ardeidae species distributed into 7 genuses were inventoried. The total bird number varied from 23026 to 40600 individuals between 2015 and 2016. The abundance of OR population was significantly (P
J. Gen. Appl. Microbiol., 46, 79–84 (2000)

Fuel oxygenates are organic additives designed to increase the oxygen and octane contents of gasoline. The most common are methyl tert-butyl ether (MTBE) and ethanol. Others include ethyl tert-butyl ether (ETBE), tert-amyl methyl ether (TAME), isopropyl ether, and tert-butanol (TBA). The massive production of MTBE, 17 billion pounds were generated in the United States in 1995 (Anon, 1996), combined with its mobility, persistence, and toxicity, makes it the second most common groundwater pollutant in the U.S. (Squillace et al., 1996). MTBE has also attracted attention because of its presence in urban air (Grosjean et al., 1997) coming mainly from gas stations. Furthermore, MTBE has been reported to be a carcinogen in animals (Belpogi, 1995). Much research has been undertaken on the biodegradability of MTBE and other fuel oxygenates under aerobic (Cowan and Park, 1996; Fayolle et al., 1998; Mo et al., 1996; Salanitro et al., 1994) and anaerobic (Mormile et al., 1994; Suflita and Mormile, 1993) conditions. MTBE is chemically stable, and its tertiary carbon structure and ether linkage are two characteristics that theoretically hinders biological attack. It has been reported (Fortin and Deshusses, 1999; Salanitro et al., 1994) that a mixed bacterial culCometabolic biodegradation of methyl tert-butyl ether by a soil consortium: Effect of components present in gasoline
Synthesizing and Characterization of Monoclinic and Tetragonal Phases of Zirconium Oxide (Zro2) Nanofibers with the Aid of Electrospinning Technique

(Received 27 Apr. 2020; Revised 29 May 2020; Accepted 26 May 2020; Published 15 Jun. 2020) Abstract: Zirconium oxide has found extensive applications in various industries because of its excellent properties such as high strength; high-temperature resistance; extraordinary wearing resistance; ionic conductivity; and corrosion resistance. Also, some Properties like high melting point, high mechanical and thermal strength, high dielectric constant and low conductivity have introduced this material as a prominent candidate for engineering applications. In this study, zirconium oxide (ZrO2) Nano fibers was synthesized by calcination of propoxide zirconium oxide/polyvinyl alcohol using sol-gel and electrospinning methods. The morphology of the Nano fibers was verified by scanning electron microscopy (SEM) and its crystalline phase was investigated by x-ray diffraction and energy-dispersive x-ray spectroscopy (EDS). The mean diameter of the Nano fibers varied in the range of 70-200 nm. XRD patterns also indicated the presence of monoclinic and tetragonal phases in the Nano fibers calcined at 700 °C. Results also revealed that this new precursor can be used in the electrospinning technique to obtain ZrO2 Nano fibers with relatively high purity.
Analysis of the Dynamics of SI-SI-SEIR Avian Influenza A(H7N9) Epidemic Model with Re-infection

The spread of Avian influenza in Asia, Europe and Africa ever since its emergence in 2003, has been endemic in many countries. In this study, a non-linear SI-SI-SEIR Mathematical model with re-infection as a result of continuous contact with both infected poultry from farm and market is proposed. Local and global stability of the three equilibrium points are established and numerical simulations are used to validate the results.
Effect of Afforestation of Arabica Coffee on the Physical and Sensorial Quality of the Bean

Brazil is a world leader in coffee production, however, the quality of the grain differs between the different production systems, which influences the price paid for the product in the national and international market. Aims: Therefore, the objective of this study was to assess the influence of Arabica coffee afforestation on the physical and sensorial quality of the bean. Methodology: The study was carried out in the Caparaó region, which involves part of the Espírito Santo state region and another part of the Minas Gerais state, Brazil. For the experiment, nine properties with of coffee. Catuaí vermelho IAC-44 was cultivated in two different situations: a plot of land on the full sole and another of wooded land. In each property, two samples were collected, one per area, representing the coffee in full sun and the other the wooded coffee, and in one of the properties samples were collected in two different areas of wooded coffee. Thus, in total, nine samples of crops in full sun and 10 of forest crops with different species were used, such as cedar, eucalyptus, palm heart, polyculture (characterized by shading with species of fruit and wood) and bananas. The samples consisted of seven liters of cherry coffee, selectively harvested, in the middle third of 20 randomly chosen plants. Results: The results showed that the quality of the coffee, physical and sensorial, is influenced by the cultivation system (wooded and in full sun), the degree of influence depends on the type of companion plant. Conclusion: Systems in forest crops with cedar and eucalyptus showed the least number of defects in raw beans and the highest proportion of flat beans (% CG). Treatment of wooded coffee with polyculture showed a higher percentage of coarse mocha (% MG). The cultivation of forested coffee with polyculture has an even better sensory quality, compared to the other treatments studied.
A Review on Time-domain Peak Detection and Classification Algorithms for Electroencephalogram Signals

In this paper, the developments in the field of EEG signals peaks detection and classification methods based on time-domain analysis have been discussed. The use of peak classification algorithm has end up the most significant approach in several applications. Generally, the peaks detection and classification algorithm is a first step in detecting any event-related for the variation of signals. A review based on the variety of peak models on their respective classification methods and applications have been investigated. In addition, this paper also discusses on the existing feature selection algorithms in the field of peaks classification.
Fine-scale foraging cues for African penguins in a highly variable marine environment

Table S1. Top five candidate generalized linear mixed-effects models (GLMMs) predicting the occurrence probability of African penguins in relation to bathymetry (Bat), bathymetry as a quadratic term (Bat), chlorophyll a (Chla), distance to the nearest colony (Dcol), distance to the nearest neighbouring colony (DNcol), sea floor slope (Sl), sea surface temperature (SST), and sea surface temperature as a quadratic term (SST). AICc scores were used to rank models and those within 4 ΔAICc were model averaged to derive fixed effect estimates used in generating plots (see Fig. 4 in the main article).
Alternative approach for valuing road traffic noise: Case study of Quito, Ecuador

This study reports the results of a contingent valuation of road traffic noise in Quito, Ecuador. Two approaches were evaluated: an ordered probit econometric model and a committee of artificial neural networks. The input variables were obtained through a social survey that assess the respondent’s noise perception and socio economic status as well as the modelled noise exposure level. A comparison indicates that the ANN model can predict the willingness to pay to reduce road noise annoyance with 85.7% better accuracy than the econometric model. The proposed approach reaches an adequate generalisation level, becoming a tool for determining the cost of transportation noise in a policy-making context.
Know You Neighbor: Fast Static Prediction of Test Flakiness

Context: Flaky tests plague regression testing in Continuous Integration environments by slowing down change releases and wasting testing time and effort. Despite the growing interest in mitigating the burden of test flakiness, how to efficiently and effectively detect flaky tests is still an open problem. Objective: In this study, we present and evaluate FLAST, an approach designed to statically predict test flakiness. FLAST leverages vector-space modeling, similarity search, dimensionality reduction, and $k$ -Nearest Neighbor classification in order to timely and efficiently detect test flakiness. Method: In order to gain insights into the efficiency and effectiveness of FLAST, we conduct an empirical evaluation of the approach by considering 13 real-world projects, for a total of 1,383 flaky and 26,702 non-flaky tests. We carry out a quantitative comparison of FLAST with the state-of-the-art methods to detect test flakiness, by considering a balanced dataset comprising 1,402 real-world flaky and as many non-flaky tests. Results: From the results we observe that the effectiveness of FLAST is comparable with the state-of-the-art, while providing considerable gains in terms of efficiency. In addition, the results demonstrate how by tuning the threshold of the approach FLAST can be made more conservative, so to reduce false positives, at the cost of missing more potentially flaky tests. Conclusion: The collected results demonstrate that FLAST provides a fast, low-cost and reliable approach that can be used to guide test rerunning, or to gate the inclusion of new potentially flaky tests.