Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of protecting lysine and methionine with condensed tannin added into total mixed ration on efficiency of microbial protein synthesis by using an in vitro gas production approach.

An in vitro study investigating the effects of adding CT-protected Lysine (Lys) and Methionine (Met) on gas production and efficiency of microbial protein synthesis (EMPS) of total mixed ration (TMR) was conducted at Animal Nutrition Laboratory. TMR were composed of concentrate and maize stover at 50:50 ratios in DM basis. The experiment used 4x4 factorial randomized design and 3 replications. The first factor was level of Lys and Met (3 g Lys- 1 g Met; 5 g Lys- 1.67 g Met; 7 g Lys- 2.33 g Met; 9 g Lys- 3 g Met) and the second factor was level or percentage of CT (0%, 6%, 8% and 10%) of Lys and Met. Parameters measured were cumulative gas production recorded at 0, 2, 4, 8, 12, 16, 24, 36 and 48 h, DMD and OMD of residues, concentrations of NH 3 and VFAs, and EMPS. The results showed that there was interaction effect between levels of Lys-Met and CT on cumulative gas production and b value, with treatment A1B3 (3g Lys + 1g Met) + 8% CT) being the lowest (106.2 ml 121.9 ml) and A4B1 (9g Lys + 3g Met) being the highest (121.9 ml and 136.8 ml). Increasing level of Lys-Met alone significantly increased cumulative gas production, DMD, and ammonia-N, but did not increase c value, OMD , concentrations of acetic, propionic and butyric acids, total VFA, ratio of C2/C3, and EMPS. Increasing level of CT reduced cumulative gas production; b value, ammonia-N, C2, C3, C4, and total VFA, with 0% CT and 10% CT being associated with the highest and the lowest value of those parameters. The highest value of EMPS was found on treatment A1B4 (3g Lys + 1g Met+10% CT; 50.3 g N/kg DOM). It can be concluded that CT is able to protect Lys-Met from being fermented in the rumen, hence improving EMPS value. Keywords : lysine, methionine, CT, in vitro gas production
Universum Learning for Semi-Supervised Signature Recognition from Spatio-Temporal Data

We present a novel approach towards signature recognition from spatio-temporal data. The data is obtained by recording gyroscope and accelerometer measurements from an embedded pen device. The idea of Universum learning was previously presented by Vapnik and recently popularized in machine learning community. It assumes that the decision boundary of a classifier lies close to data with high uncertainty. The quality of the final classifier strongly depends on a way how to choose the Universum data and also on the representation of original data. In our paper we use a novel approach of Universum learning to classify signature data, also we present our novel idea how to sample the Universum data. At last, we also find more effective representation of the signature data itself compared to the baseline method. These three novelties allow us to outperform previously published results by 4.89% / 5.58%.
Notification Rate and Counseling for Seropositive Donors in a Tertiary Care Teaching Hospital at Amritsar (Punjab), India

Introduction: Screening for Transfusion transmitted infections (TTI’s) is done to provide safe blood. Very often donors are found to be seropositive for one or more of the TTI’s. The present study was undertaken in a blood bank of a tertiary care hospital to determine the response rate of the blood donors after they were notified about their reactive status. Materials and Methods: The one year observational study was done in a prospective manner from January 2013 – December 2013 taking in account of all the registered donors coming to the blood bank after notification.
Spatial point processes in astronomy 1

We review several topics arising in astronomical research where the statistical analysis of spatial point processes plays a central role in scientific investigations. These include: the distribution of stars in the Milky Way; the distribution of galaxies in two and three dimensions; the location of clusters of photons from faint astronomical sources in detectors; the classification of objects in large multivariate databases; and the sky distribution of gamma-ray bursters. A variety of challenging methodological issues arise including anisotropic filamentary clustering, modeling of Poisson spatial processes, and weighted measures of clustering. AMS Subject Classifications: Primary 85A35; Secondary 62M30, 85A05
Accelerating Data-Intensive Applications: A Cloud Computing Approach to Parallel Image Pattern Recognition Tasks

Performance is an open issue in data intensive applications, such as image pattern recognition tasks. To process large-scale datasets with high performance more resources and reliable infrastructures are required for spreading the data and running the applications across multiple machines in parallel. The current use of parallelism in high performance computing and with multicore hardware support is costly and time consuming. To remove the burden of building, operating and maintaining expensive physical resources and infrastructures, Cloud computing is emerging as a cost-effective solution to address the increased demand for distributed data, computing resources and services. In this paper, we explore and evaluate parallel processing performance of an image pattern recognition task in the Life Sciences based on a Cloud computing model: Infrastructure- as-a-Service. Namely, we rent computing infrastructures from cloud providers. We have developed the image pattern recognition task in both sequential and parallel ways, deployed them, and conducted our experiments on cloud infrastructure. The performance has been evaluated using speedup as a measurement. We have calculated the cost of our experiments, which demonstrates that cloud computing could be a cheaper alternative to supercomputers and clusters given this task.
An Evaluation of the Indian Child Nutrition and Development Program

The Indian Integrated Child Development Services (ICDS) aims to improve the physical and psychological well-being of children younger than five. However, previous evaluations find that ICDS fails to significantly impact child stunting and that program placement is faulty. My results contradict the lack of a significant treatment effect, but are consistent with problematic program placement. Previous analyses of ICDS used probit to study placement, but the distribution of state-wise ICDS coverage is negatively skewed violating the normality assumption of probit. To address this, I use beta regression to study placement and compare results with probit analysis. In addition, using Propensity Score Matching (PSM) I find evidence of a significant, positive average and quantile treatment effects on stunting. Data are from the most recent Indian Family and Health Survey (NFHS-3).
Correlates with Use of Telecomputing Tools: K-12 Teachers' Beliefs and Demographics

AbstractWhat can be determined about the demographic characteristics, beliefs about teaching, degrees of innovativeness, and world views of classroom teachers and specialists who use Internet-based telecomputing tools? This study correlated data representing a year of online use with responses to questionnaire items about teacher beliefs and demographics for 558 respondents from a sample of 1,000 randomly selected Internet account holders on TENET, the statewide K–12 educational telecomputing network in Texas. Results showed significant correlations among beliefs about teaching, personal perceptions of innovativeness, and world views; respondents who were more student-centered in their beliefs about teaching perceived themselves to be more innovative and tended to see the world in a more social constructivist way than respondents with more traditional beliefs about teaching. Yet no strong significant correlations between telecomputing activity and beliefs or demographic information were found. In the case.
The space in-between : psychoanalysis and the imaginary realm of art

This investigation uses an object relations psychoanalytic framework to explore ways that art embodies both social and personal meaning. The relationship between the nonverbal experience of art and the pre-verbal realm of infancy is explored and linked to bodily, perceptual and inner forms of non-discursive knowledge which are of value for the subject. The study investigates how this inner experience is related through art to language and representation as aspects of external experience. The study argues that these two dimensions, the inner/bodily and the outer/linguistic, are held together in the art object which, as metaphor, is a conjoined structure that embodies the maternal and paternal realms in paradoxical and dynamic interplay. The art object, which elicits imaginary and phantasied responses from the viewer, serves both the self (through presentational symbols) and social needs (through representational symbols), thus allowing the creation and communication of new meanings.
Money-income Link in Developing Countries: a Heterogeneous Dynamic Panel Data Approach

The question whether real money causes real output appears to be important for many economists working in the area of macroeconomics and, has been subjected to a variety of modern econometric techniques, producing conflicting results. One often applied method to investigate the empirical relationship between money and real activity is Granger causality analysis [Granger (1969)]. Using this approach, the causality question can be sharply posed as whether past values of money help to predict current values of output. This concept, however, should be clearly distinguished from any richer philosophical notion of causality [cf. Holland (1986)]. Present paper examines the relationship between money (both M1 and M2) and income (Real GDP) for 15 developing countries using a newly developed heterogeneous dynamic panel data approach.1 Sims (1972) postulated “the hypothesis that causality is unidirectional from money to income agrees with the post war U.S. data, whereas the hypothesis that causality is unidirectional from income to money is rejected”. Since then a voluminous literature has emerged testing the direction of causality.2 Some studies have tested the relationship between these variables and the direction of causality for a particular country using time series techniques [e.g., Hsiao (1979) for Canada, Stock and Watson (1989) for U.S. data, Friedman and Kuttner (1992, 1993) for U.S. data, Thoma (1994) for U.S. data, Christiana and Ljungquist (1988) for U.S. data, Davis and Tanner (1997) for U.S. data.
Cortisol and its metabolites in juvenile Siberian sturgeon, Acipenser baerii Brandt, 1869 in response to short-term food deprivation

In this study, the effect of short-terms starvation (0, 2, 4 and 8 days) on plasma cortisol, glucose, triglyceride and cholesterol levels and also hepatosomatic index in Siberian sturgeon, Acipenser baerii, was investigated. After acclimation to experimental conditions for 10 days using formulated diet, 180 juvenile Siberian sturgeons (mean weight ± S.E.=19.3±0.4, n=15) were randomly distributed among twelve circular, 500l, fiber glass holding tanks with a flow-through system. In this study, control fish (C) were fed with formulated diet to apparent satiation four times daily throughout the experiment. The other three groups were deprived from feed for 2 (T1), 4 (T2) and 8 (T3) days, respectively. Blood samples were taken at the end of the starvation periods for biochemical analyses. Plasma cortisol, triglyceride and cholesterol levels were not significantly different between control and starved fish at the end of the food deprivation periods, but plasma glucose levels were significantly lower in the starved groups, compared to the control fish. HSI index significantly decreased in all starvation groups, except T1, in comparison to the control. The results suggest that energy reserves mobilization during starvation in Siberian sturgeon may be achieved without the involvement of cortisol. Moreover, in this species there are clear indications of metabolic adjustment ability to short periods of food deprivation.
The Timing of Elections

There are nearly half a million elected officials in American local governments, and the timing of their elections varies enormously both across states and even within the same state. Some local elections are held simultaneously with major federal and state races, while others are held at times when no higher level elections coincide. This Article argues that the timing of local elections drives turnout and, ultimately, substantive policymaking. When local elections do not coincide with important federal or state contests, the marginal cost to voters of participating rises, and consequently only those voters with the greatest stake in the electoral outcome turn out, a phenomenon we label “selective participation. ” Selective participation is especially pronounced in local specialpurpose elections, such as those for school and special districts, where single-issue interest groups are especially influential. When there is selective participation in a low turnout election, policy outcomes will be more favorable to special interests than they would be if the same government were elected in a high turnout election. To explore these ideas empirically, we examine a natural experiment created by a 1980s change in the California Election Code, which gave school boards the option of changing their elections from off-cycle to on-cycle. Against this backdrop, we consider alternative legal regimes for regulating the timing of local government elections.
Leveraged Guanxi in Employment Acquisition: Scale Development and Validation

The Chinese organisational sphere is impacted upon by a number of relatively distinct contextual variables; prevalent amongst these variables, is the Chinese manifestation of social network ties, guanxi. Thus, in order to further advance our understanding of this influential Chinese phenomenon, the development of tailored measures of guanxi is required. Therefore, this paper develops and performs the validation of a new scale designed to measure a particular manifestation of guanxi. The new scale’s items were generated and validated over four studies, consisting of focus group discussions, free-listing, pile-sorting and scenario activities (n=126), followed by a pilot test (n = 227) and a test distribution of the scale (n=506). The studies generated items representing both the categorical and dynamic dimensions of guanxi, as well the dimension of influence. The studies cumulatively evidence the scale’s sound psychometric properties, and provide researchers with a previously unavailable scale, contributing towards enhancing the consistency of guanxi’s measurement across future studies, and providing a deeper understanding of the phenomenon of guanxi.
Screening for drought tolerance in Iranian wheat genotypes (Triticum aestivum L.) using physiological traits evaluated under drought stress and normal condition.

Cultivation of drought adapted genotypes is the best approach to avoid yield loss under water deficit condition. In order to screen for drought tolerance 82 Iranian wheat genotypes were evaluated by recording relative water content (RWC), days to maturity, leaf rolling and leaf silvering under stress condition in a field trial. In next experiment ten genotypes (six tolerant and four sensitive) selected from field experiment were assessed for drought adaptability measuring RWC, osmotic adjustment (OA), catalase (CAT) and peroxidase (POD) activity and stomatal characteristics. The genotypes were grown under normal and stress condition with three replications. There was high variability among genotypes in response to drought. Azadi and Ohadi showed significant enhancement in CAT activity while in POD activity maximum increase was recorded for Homa. Kohdasht (0.59MPa) and Arta (0.15MPa) had the highest and lowest OA, respectively. Higher OA ability indicates the potential for accumulating osmolytes in cells to absorb water more easily under stress condition. Stomatal closure in response to drought was more significant in Kohdasht and Arta while in Homa almost no change in stomatal closure was detected. Significant negative correlation (r = -0.65, p<0.05) was obtained between RWC and stomatal opening implying the dominance of stomatal conductance control for water retention in genotypes with higher RWC. The activity of POD in Homa, a drought sensitive genotype, was significantly high under stress condition. Presumably the scavenging of H2O2 may be the last defense barrier of this genotype against drought. Kohdasht had the highest ability of water retention under stress condition mostly due to its excellent OA and stomatal closure. These physiological characters can be transferred to high yield genotypes to improve drought adaptability.
Limonia acidissima and Acacia nilotica used as low cost adsorbents to scavenge cadmium from artificial wastewater

This compendium of research paper narrates the proficiency of Limonia acidissima and Acasia nilotica which are used as low cost adsorbents for taking away Cadmium - a heavy metal found in industrial effluents. Latest study investigates Cadmium adsorption by inexpensive low cost Limonia acidissima and Acacia nilotica used as adsorbents which are found in abundance as an agro-forestry by-product. An array of sample solution using batch method with artificial Cadmium effluent demonstrates a high level of adsorption by the used adsorbents. A correlative study of these two adsorbents also finds out the adsorption capacity.
International Conference on Alternative Energy in Developing Countries and Emerging Economies ( 2013 AEDCEE ) : 30-31 May 2013 , Bangkok , Thailand 2 nd Generation Ethanol by Zygomycetes Fungi at Elevated Temperature

Seven zygomycetes tempe isolates were screened for ethanol production at 40C, 45C, 50C. All the isolates were able to produce ethanol at 40C with the yields of 0.39-0.47 g/g on glucose and three isolates were able to produce ethanol at 45C with the yields of 0.22-0.26 g/g on glucose. No isolate could grow and produce ethanol at 50C. One isolate was selected and used for ethanol production from untreated and fungal-pretreated oil palm empty fruit bunch (OPEFB), untreated and fungal-pretreated oat straw as well as Avicel by non-isothermal simultaneous saccharification and fermentation (NSSF). This NSSF included hydrolysis with cellulase and β-glucosidase for 24 h at 45C, followed by simultaneous saccharification and fermentation using the selected isolate at 40C for 96 h. The NSSF of untreated and fungal-pretreated OPEFB, untreated and fungal-pretreated oat straw, and Avicel resulted in 14.10%, 14.25%, 27.28%, 49.88%, and 63.77% ethanol compared to the theoretical yield. © 2013 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [AEDCEE 2013]
Supplier selection by F-compromise method: a case study of cement industry of NE India

In this paper, we initially conducted a brief review of supplier selection methods to find most cited multi-criteria decision making method, present trend of supplier selection and most cited criteria for supplier selection. Our study reveals that irrespective of several limitations of analytic hierarchy process (AHP), AHP and its integrated model is most preferred supplier selection method. Present research trend of supplier selection gives more emphasises on multiple sourcing instead of single sourcing. Based on our initial study, a suitable integrated model is proposed. In this integrated model, fuzzy analytic hierarchy process (FAHP) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje; in Serbian) is used to select suppliers from a predefined supplier base. Multi-objective genetic algorithm (MOGA) is used further to allocate order among suppliers. Finally, a case study is discussed to use proposed method.
Plankton Structure of Shallow Coastal Zone at Admiralty Bay, King George Island, West Antarctic Peninsula (Wap) During Early Summer/2010: Pico, Ultra and Microplankton and Chlorophyll Biomass

e phytoplankton composition and biomass are being monitored in Admiralty Bay, Antarctic Peninsula since 2002 to detect possible interannual changes on a long-term monitoring perspective. In this report, we present the results of the December 2010 survey regarding the phytoplankton size-structure and biomass. Microplankton densities were higher than those observed during the survey 2009/2010, and a dominance of diatoms, especially the centric alassiosira spp, over dino agellates was registered. Pico and ultraplankton densities (~106 cells L–1) were similar to those registered in previous studies, and results showed that phytoplankton were dominated in density by cells <10 μm. e shi in phytoplankton structure pointed out by the dominance of picoand ultra-size cells in phytoplankton density and dominance of microphytoplankton in biomass must be con rmed by continuing the long-term monitoring program and the implementation of microvariation sampling e ort to identify the factors that are actually in uencing phytoplankton populations in this environment.
Inhibition of siderophore biosynthesis by targeting A. fumigatus ornithine hydroxylase: A structure-based virtual screening study

Siderophore A (SidA) from Aspergillus fumigatus is a flavin-dependent monooxygenase that catalyses the hydroxylation of L-ornithine. N-hydroxyl-ornithine is subsequently incorporated into hydroxamate-containing siderophores. The pathogenicity of A. fumigatus in mammals is dependent on the availability and function of siderophores. Thus, inhibition of the siderophore biosynthetic pathway may significantly affect the virulence of this fungus. SidA plays a central role in this pathway and is considered the key target for inhibitory study. Availability of several high-quality structures of SidA in complex with different ligands allowed the in-silico screening of a large library of drugs, natural products, and synthetic compounds. The screening results were sorted by the absolute and normalized binding energies and then filtered based on the formation of at least one hydrogen bond to the part of the ornithine binding site with several hydrogen bond donors. The top hits have average molecular weights of 200 Da and free energy of binding of -7.5 kcal/mol. The compounds are highly soluble nitrogenor oxygen-rich and make several hydrogen bonds with residues in the active site of SidA.
International Conference on Solar Heating and Cooling for Buildings and Industry September 23-25 , 2013 , Freiburg , Germany Experimental testing under real conditions of different solar building skins when using multifunctional BIPV systems

When installing photovoltaic modules on buildings, the mounting system significantly affects both the heat-exchange between the module and the building envelope, and the operating temperatures of the PV modules, which in turn strongly influence the energy yield of the PV system. It is therefore important to be able to simulate and evaluate in advance the behaviour and the potential advantages of a certain type of installation. This paper presents the monitoring results of two examples of building integrated PV systems when installed as a façade cladding system or as roof tiles. The investigated parameter (i.e.: module temperature, electrical parameter, energy yield) can be used to predict the behaviour of such modules on real buildings. © 2014 The Authors. Published by Elsevier Ltd. Selection and peer review by the scientific conference committee of SHC 2013 under the responsibility of PSE AG.