Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of TEP in the microbial food web structure. II. Influence on the ciliate community structure

The structure of the bacterial population (free vs. attached bacteria), variations in bac- terial abundance and ciliate group composition were monitored as a function of transparent exopoly- meric particle (TEP) concentration during Phaeocystis globosa blooms that developed in mesocosms. Two ciliate groups dominated at different stages of the blooms. The oligotrichous ciliate Strombidium spp. were dominant during the growth phase of the blooms, when TEP volume concentration was lower than 20 ppm. The hypotrichous ciliate Euplotes spp. emerged and became dominant after blooms peaked, when TEP concentration reached values between 20 and 50 ppm. The succession from Strombidium spp. to Euplotes spp. was closely related to TEP variation. Strombidium spp. depletion was apparently not caused by a reduction of prey availability due to TEP aggregation, as the bacterial concentration increased over time and the fraction of available bacteria for Strombidium spp. remained close to 90%, irrespective of variations in TEP concentration. Instead, the results of incubations conducted by adding S. sulcatum to seawater collected in the mesocoms suggest that Strombidium spp. disappearance may have been caused by direct TEP-mediated aggregation of the ciliates. The emergence of Euplotes spp. coincided with the formation of macroaggregates (favored by high TEP concentration), which provide them with the physical support required for feeding on attached bacteria. Our results suggest that variations of the size in the TEP pool may induce a ciliate population succession, modify the size distribution of the bacterial population and ultimately control the microbial food web structure and function.
Firm Growth and Institutional Factors: Panel Data Evidence from Malaysia

Studies on the effect of institutional factors on growth have gain popularity amongst researchers over the years, particularly at the macroeconomics level. However, studies on the effects of institutional factors on growth at the firm data level has yet to gain widespread popularity, more so in the context of Malaysia. Thus, this paper explores the effects of institutional factors of firm growth in Malaysia, emphasising primarily on three key areas. Firstly, this paper estimates the determinants of firm growth, taking into account factors other than institutional factors, namely; internal finance and external finance. Next, this paper examines if there are variations in the effect of factors which attributes to firm growth, with regard to the size of firms. Thirdly, this paper examines if there are difference in the effect of the abovementioned factors on firm growth, with regard to the different subsectors of the economy. This study uses a panel data sample of 973 firms for the period of 2000 to 2009. Dynamic panel data estimation using the one-step system GMM method was adopted to estimate firm growth. This study found a positive and significant relationship between institutional factors and firm growth, albeit the relationship was founds to be higher between large firms. In addition, this study ascertained that the effects of institutional factors on firm growth within different industries are not the same. Besides institutional factors, internal financing was founds to have a positive and significant relationship with firm growth. The findings of this study provide several important implications towards policy makers and firms. The increment in the level of institutional factors, which reflects an increase in the quality of the nation‟s institutions, and combined with an increase in internal financing to support growth processes contributes to firm growth.
PENGEMBANGAN MODEL PEMBELAJARAN SASTRA BERBASIS KARAKTER DAN LOKALITAS DALAM MATA KULIAH DRAMA, JURUSAN PENDIDIKAN BAHASA INGGRIS UNIVERSITAS PENDIDIKAN GANESHA SINGARAJA

Pembelajaran drama di Jurusan Pendidikan Bahasa Inggris Universitas Pendidikan Bahasa Inggris selama ini menggunakan naskah-naskah karya penulis luar negeri. Hal ini menjadi beban bagi mahasiswa karena adanya kesenjangan antara latar budaya di dalam naskah dengan latar budaya mahasiswa. Kesenjangan budaya ini menyebabkan mahasiswa kesulitan memahami teks. Persoalan budaya adalah hal yang sangat penting dalam pembelajaran bahasa. Pembelajaran bahasa akan berhasil jika pembelajaran bersifat kontekstual, berkarakter dan bermakna. Penelitian ini bertujuan mengembangkan model pembelajaran drama berbasis karakter dan lokalitas. Metode yang digunakan adalah model pengembangan Dick, Carey and Carey (2001). Pengembangan ini melalui sembilan tahapan. Hasilnya adalah produk model pembelajaran drama berbasis karakter dan lokalitas. Bahan ajar yang dihasilkan adalah naskah drama berbasis karakter dan lokalitas. Model dan naskah ini kemudian diimplementasikan dan diujikan pada mahasiswa. Hasilnya adalah terdapat perbedaan signifikan antara prestasi mahasiswa yang diajar dengan model pembelajaran drama berbasis karakter dan lokalitas dengan prestasi mahasiswa yang tidak mendapat perlakuan.
Occurrence of the alien seagrass Halophila stipulacea in Martinique (French West Indies)

The occurrence of the tropical seagrass Halophila stipulacea (Hydrocharitaceae) is recorded for the first time on the Caribbean coast of Martinique (French West Indies, Caribbean Sea). Specimens were observed, since a large survey in 2006, on sandy substrates between 3 m and 32 m depths in this area. The species was found in mono-specific patches or mixed with other macrophytes as Syringodium filiforme (seagrass) and/or Ulva intestinalis (green alga). Halophila stipulacea was previously identified on the coasts of Dominica and St Lucia, two islands nearby our study area. While its presence was presumed to be in Martinique, it was never officially recorded. These findings off the coast of Martinique further define the distribution and widespread occurrence of this alien species within the Caribbean Sea.
The stepwise interactions established by leishmania in its hosts

On sait actuellement que le parasitisme est base sur une interaction durable et renouvelee entre le genome du parasite et celui de l'organisme vivant dont il depend pour sa perennite. Tout organisme parasite detourne et/ou remodele le(s) tissu(s) de son hote, pour pouvoir y vivre et s'y reproduire. Le genre Leishmania permet d'illustrer le caractere sequentiel et la diversite des processus se deroulant chez l'hote. Le cycle de vie de Leishmania necessite deux hotes successifs: des insectes hematophages et des mammiferes, ces derniers etant aussi necessaires a la survie des insectes. Des modeles in vivo originaux ont ete mis au point pour identifier et caracteriser les processus etablis par Leishmania (L. major) dans les tissus (peau et ganglions lymphatiques drainants) de souris de laboratoire. En parallele, l'obtention, a partir des souris de laboratoire, de populations homogenes de leucocytes phagocytaires (macrophages, leucocytes dendritiques, et neutrophiles dans certains cas) a permis de preciser comment L. amazonensis et L. donovani detournent l'activite de ces leucocytes, pour qu'ils deviennent, respectivement, des cellules hotes stricto sensu ou des cellules navettes. L'objectif de ces etudes est de mieux comprendre la pathogenie des lesions cutanees transitoires observees chez l'hote mammifere, et surtout les conditions necessaires a la perennite des leishmanies et a leur transmission de l'hote mammifere a la femelle phlebotome, qui agit a la fois comme hote et comme vecteur.
DETECTION AND CLASSIFICATION OF POLE-LIKE OBJECTS FROM MOBILE MAPPING DATA

Laser scanners on a vehicle-based mobile mapping system can capture 3D point-clouds of roads and roadside objects. Since roadside objects have to be maintained periodically, their 3D models are useful for planning maintenance tasks. In our previous work, we proposed a method for detecting cylindrical poles and planar plates in a point-cloud. However, it is often required to further classify pole-like objects into utility poles, streetlights, traffic signals and signs, which are managed by different organizations. In addition, our previous method may fail to extract low pole-like objects, which are often observed in urban residential areas. In this paper, we propose new methods for extracting and classifying pole-like objects. In our method, we robustly extract a wide variety of poles by converting point-clouds into wireframe models and calculating cross-sections between wireframe models and horizontal cutting planes. For classifying pole-like objects, we subdivide a pole-like object into five subsets by extracting poles and planes, and calculate feature values of each subset. Then we apply a supervised machine learning method using feature variables of subsets. In our experiments, our method could achieve excellent results for detection and classification of pole-like objects.
Dualistic Portfolio Strategies in Japanese Scholarly Publishing: Cultures and Interests in Interaction

On the basis of a number of findings from a preliminary interview research, this paper presents and refines an analytical framework for an ethnographic research on the structural transformation of the scholarly publishing in Japan. One of the key concepts in the analytical framework is “dualistic portfolio strategy. ” Dualistic portfolio strategy is a sensitizing concept by which we can conceptualize the process in which several types of actors involved in scholarly publishing pursue their own interests deploying symbolic as well as economic capitals and by combining several types of institutional logics. This concept refers both to “strategies of action,” or habitual ways of perceiving, thinking, feeling and acting (Swidler 1986, 2001) and to a more conscious and deliberate action plan aimed at pursuing relatively articulated interests. Inclusion of these two otherwise contrastive meanings in one term is intended to capture the dialectics between human agency and cultural determination. It will be argued that in analyzing institutional changes, we have to take account of the specific social contexts in which di#erent action strategies of individuals are integrated into deliberate action plans. Actors’ interests themselves are often “discovered” (or invented) and articulated in that
Changes in Thiol Content, Glutathione and Hydrogen Peroxide Levels as a Measure of Oxidative Stress in Periplaneta Americana Treated with Metarhizium Anisopliae Spp.

Periplaneta americana (American cockroach) treated with conidia of entomopathogenic fugal isolates of Metarhizium anisopliae revealed a decrease in the thiol content and an increment in the levels of oxidized glutathione as well as hydrogen peroxide (H2O2). T-SH levels decreased to 48% and 50% at 24 hours and 48 hours post treatment respectively at LC90 of M20 isolate. Low virulent isolate M48, on the other hand, recorded a decrease of 76% and 78% in the T-SH levels at 24 and 48 hours post treatment respectively with LC30 treatment. Remarkable increase of 200% in the levels of H2O2 recorded at LC90 of M20 and 102% increase at LC30 of M19 was remarkable and focuses on the extent of oxidative stress induced by the fungal infection. Dynamics in the levels of GSH, GSSG, H2O2 and thiols in the insects treated with different fungal isolates in a time and dose dependant manner reveals oxidative stress induced by the fungal infection and the information would facilitate to explore the antioxidant defense
General Lattice Model of Gradient Elasticity

New lattice model for the gradient elasticity is suggested. This lattice model gives a microstructural basis for second-order strain-gradient elasticity of continuum that is described by the linear elastic constitutive relation with the negative sign in front of the gradient. Moreover the suggested lattice model allows us to have a unified description of gradient models with positive and negative signs of the strain gradient terms. Possible generalizations of this model for the high-order gradient elasticity and three-dimensional case are also suggested.
Student Information System and Performance Prediction in Educational Data Mining

: The main focus of data mining is to collect different data from databases or data warehousesand the information collected that had never been known before, it is valid and operational. Educational institutes can use this to maintain all the information of student academics easily which is critically important. The performance of students in their academics is a turning point for their brightest career. Predicting student academic performance has been an important research topic in Educational Data Mining (EDM) which uses machine learning and data mining techniques to explore data from educational settings. Measuring student academic performance is challenging since it depends on various factors. Classification and Prediction are among the major techniques in data mining and plays a vital role in EDM. The need for this is to enable the university to intervene and provide assistance to low achievers as early as possible. In this study we develop a classification model usingC4.5 algorithm for domain wise performance evaluation system for engineering students. It also brings connectivity between teachers, students and parents by keeping them updated with their child performance regularly. The whole system will be available through a secure, online interface embedded in college website.
Comparative effects of dietary carbohydrases without or with protease on the ileal digestibility of energy and amino acids and AMEn in young broilers

Four digestibility trials using broilers from 12 to 21 d or 7 to 21 d of age were conducted to evaluate the nutrient digestibility responses of two enzyme combinations when supplemented to maize–soybean meal (SBM) based diets without (trials 1 and 3) or with (trials 2 and 4) 70 or 100 g/kg maize dried distillers grain with solubles (DDGS). Apparent ileal digestible energy (AIDE), apparent ileal digestibility (AID) of amino acids (AA), total tract apparent retention (TTAR) of nitrogen (N) and N-corrected apparent metabolisable energy (AMEn) were assessed. In each trial, a control diet and the control diet supplemented with an enzyme complex containing xylanase and amylase (XA) or one containing protease, xylanase and amylase (PXA) were tested. Trials 1 and 2 had six replicate cages per treatment, with six birds per cage; and trials 3 and 4 had eight replicate cages per treatment, with five birds per cage. Data were analysed by ANOVA for each trial, as well as a combined dataset, which model included the main effects of maize-DDGS inclusion, dietary enzyme and trial site and all two-way interactions. Across trials, both XA (13.61 MJ/kg) and PXA (13.70 MJ/kg) increased the AIDE (P<0.05) compared to the control diets (13.29 MJ/kg). XA increased (P<0.05) AMEn (12.89 MJ/kg) compared to the control diets (12.61 MJ/kg), and PXA further increased it (13.00 MJ/kg) compared to XA. Supplementation with XA had no effect on the AID of AA, whereas PXA increased the AID of nitrogen and all AA (P<0.05) except methionine. The AA with the greatest response to PXA were cysteine (+5.4%), threonine (+4.4%), glycine (+3.6%) and valine (+3.3%). The least responsive AA to PXA inclusion were methionine (+1.0), glutamine (+2.0), lysine (+1.9%) and arginine (+2.2%). Irrespective of the AA, PXA increased AID of AA as a proportion of the ileal undigested fraction of AA in the control diets by 12–13%. Supplemental xylanase and amylase increased AIDE and AMEn and the addition of protease on top of carbohydrases further increased AID of AA and AMEn in young broilers fed maize–SBM diets without or with maize-DDGS. © 2013 Elsevier B.V. Open access under CC BY-NC-ND license. Abbreviations: AA, amino acids; AME, apparent metabolisable energy; AMEn, nitrogen corrected apparent metabolisable energy; AID, apparent ileal igestibility; AIDE, apparent ileal digestible energy; DDGS, dried distillers grain with solubles; N, nitrogen; NSPs, non-starch polysaccharides; PXA, protease, ylanase and amylase; TTAR, total tract apparent retention; XA, xylanase and amylase. ∗ Corresponding author. Tel. : +44 167251 7774; fax: +44 167251 7778. E-mail addresses: luis.romero@dupont.com, lfrmillan@hotmail.com (L.F. Romero). 377-8401 © 2013 Elsevier B.V. ttp://dx.doi. org/10.1016/j.anifeedsci. 2013.02.001 Open access under CC BY-NC-ND license. 36 L.F. Romero et al. / Animal Feed Science and Technology 181 (2013) 35– 44
Structural Equations Modeling, Perceived Risk and Flow State on E-Commerce

Flow state is an important theory to understand the consumer behavior of e-commerce. Perceived risk also has been object of academic studies because it is an inhibitor of the online purchases. In this way, the objective of this research is to investigate the relation between the perceived risk and flow state. Through a structural equations modeling, it was disclosed that the ability of the consumer with the use of the Internet intervenes with its perception of risk.
Effect of postharvest practices on the culturable fungi and yeast microflora associated with the pear carpoplane

The bacterial microbiome on plant surfaces represents a climax community at the point of harvest and fruit maturity. How commercial postharvest interventions affect these populations are not known particularly in terms of the presence of postharvest pathogens and potential biocontrol agents. Information regarding the fungi and yeast microflora on pear surfaces (carpoplane) is limited when compared to other fruits such as grapes and apples. The objective of this study was to determine the influence of commercial postharvest practices (drenching and modified atmosphere storage) on the dominant yeast and fungal populations associated with the pear carpoplane and to identify postharvest pathogens and yeasts with biocontrol potential that can survive postharvest treatments. During season one the fungal counts on pears were significantly lower after CA storage Fungal and yeasts associated with pear fruit Postharvest Biol Technol 2 when compared to counts of orchard pears, however during season two, the opposite trend was observed. The yeast counts were either significantly higher or similar after CA storage compared to the orchard pear counts during both seasons. Commercial drenching led to either an increase or reduction in the fungi and yeasts, however a definite trend could not be observed. A total of 16 dominant yeast and 24 dominant fungal species were isolated. Overall a 76% dominance of Ascomycetes was observed. Known postharvest pathogens Penicilium commune and P. crysogenum was still present after CA storage. Potential known biocontrol organisms included Aureobasidium pullulans, Cryptococcus sp. and Sporobolomyces roseus. The postharvest processing stages decreased the number of dominant yeast and fungal species. By understanding bacterial population changes due to postharvest practices a more effective crop specific management system can be developed for quality control purposes.
Data Mining in Healthcare for Heart Diseases

Data Mining is the area of research which means digging of useful information or knowledge from previous data. There are different techniques used for the data mining. Data mining may used in different fields including Healthcare. Heart or Cardiovascular diseases are the very hot issue in Healthcare industry globally. Many patients died due to insufficient amount of knowledge. As Healthcare industry produces a huge amount of data, we may use data mining to find hidden patterns and interesting knowledge that may help in effective and efficient decision making. Data mining in Healthcare is a crucial and complicated task that needs to be executed accurately. It attempts to solve real world health problems in diagnosis and treatment of diseases. This work is also an attempt to find out interesting patterns from data of heart patients. There are three algorithm used with two different scenarios. These implemented algorithms are Decision Tree, Neural Network and Na
A STUDY ON TRUST AND CONFLICT RESOLUTION IN CROSS- CULTURE

Given the notion that trust may be viewed as a continuum, and that different modes of conflict management exist, this paper proposes that different modes of conflict management are likely to be associated with different levels of trust. While culture is typically viewed as the overarching variable in cross-cultural negotiations and that trust operates in the background as a decisive factor. We are considering the essential factor in cross-cultural negotiation is the level of trust that both parties have developed as part of their relationship. The important idea of this paper is to study the role of culture and trust while handling conflict in cross-culture scenario.
Enhancement of Gabor Directional Wavelet Edge Detection Method

– This paper presents an approach for the enhancement of the performance of conventional Gabor directional wavelet edge detection method. The approach involves pre-and post-processing techniques. In the pre-processing technique, the input image is segmented by an optimal threshold method based on Shannon and Tsallis entropy. The segmented image is then applied to the Gabor directional wavelet edge detection method. In the post-processing, the output of the Gabor directional wavelet edge detection method is hysteresis thresholded. The lower and higher threshold values are computed using Otsu’s method. The output greater than the higher threshold is taken as edge and, the lower than low threshold level is rejected. The output between the lower and higher is threshold using a single threshold value also computed by Otsu’s method. Simulations results have been presented to show the impact of the proposed pre-and post-processing techniques in enhancing the performance of the Gabor directional wavelet edge detection method. The performance of the presented pre-, post-processed and simultaneous pre-and post-processed Gabor directional wavelet edge detection method are compared with the conventional Gabor and the commonly used Sobel and Canny methods. The results have shown that images with different edges can be best handled by the presented simultaneous pre-and post-processed Gabor directional wavelet edge detection method.
Electrical Conductivity of a Semidilute Polyelectrolyte in Mixed Solvent Media

The electrical conductivity of solutions of sodium salt of polystyrenesulfonate in methanol-water mixed solvent media containing 8, 16, 25, and 34 weight per cent of methanol at 308.15, 313.15, 318.15 and 323.15 K was studied earlier. In that report, an attempt was made to interprete the results using the Manning Counterion Condensation Theory. Unfortunately, a major deviation of the theoretical prediction from the experimental results was noticed and the possible reasons for this discrepancy have been discussed. In this communication, the experimental conductivity have been analyzed on the basis of a new model for semi-dilute polyelectrolyte conductivity which takes into electrical conductivity of semidilute solutions of polyelectrolytes without added salt has been recently described by Colby et al. (1997) using the scaling description proposed by Dobrynin et al. (1995) for the configuration of a polyelectrolyte chain in semi-dilute solution. The predictions are found to be compared favorably well with the observed conductivity over the whole range of concentrations investigated. Key Words: conductivity; counterion; condensation; semi-dilute; Manning theory DOI: 10.3126/njst.v9i0. 3182 Nepal Journal of Science and Technology 9 (2008) 163-170