Miracle-dz/UniFAR-FTUs huggingface dataset:
Choice of Optimum Combination of Construction Machinery Using Modified Advanced Programmatic Risk Analysis and Management Model

Since the proper use of construction machinery in infrastructure projects is important, it is essential to employ an optimum selection of machinery in these projects. Advanced programmatic risk analysis and management model (APRAM) is one of recently developed methods that can be used for risk analysis and management purposes considering schedule, cost and quality, simultaneously. In this paper, first the APRAM method is introduced and then modified in order to consider environmental risks. This method can consider potential risks that might occur over the entire life cycle of the project, and can be employed as an efficient decision-support tool for construction managers selecting machinery for an infrastructure project where various alternatives might be technically feasible. A case study of three possible combinations of excavation machines is then discussed. All project risks related to cost, time, quality and environment are identified, considering the capital costs which should be spent on each combination. Finally, some graphs which are derived from the method are taken into account in order to decrease each combination’s risks and to optimize the selection of excavating machinery. The outcomes highlight the efficiency of the APRAM model for the optimal selection of machinery in construction projects.
Foxed intra- and interspecific differentiation in Leptogorgia (Octocorallia: Gorgoniidae). A description of a new species based on multiple sources of evidence

The challenges of delimiting and identifying marine invertebrate species impede estimations of true biodiversity. This is particularly true in the case of gorgonian diversity, in which only classical morphological characters (e.g. branching pattern, size and colouration of the colony and sclerites, etc.), which can be homoplastic and continuous, have been used. In this study, using an integrative taxonomic approach, we analysed two morphs initially considered as two eco-typical variants of Leptogorgia alba Duchassaing and Michelotti, 1864, living sympatrically in the littoral area of Ecuador. We explored the use of classical morphological and morphometric characters to delimit species in combination with the analyses of molecular markers (mtMutS, CoxII-Igr-CoxI, ITSs, and 28S rRNA) to infer phylogenetic relationships. Based on our results, two species should be considered, L. alba and a new species, L. manabiensis n. sp. , which showed distinguishing morphological features that cannot be attributed to phenotypic plasticity. Both species also showed significant differences in morphometric, non-correlated characters in all size classes. The phylogenetic analyses showed a polyphyletic L. alba - L. manabiensis n. sp. species complex, and ancestral polymorphism and incomplete lineage sorting as possible evolutionary processes leading to this pattern. In conclusion, the combination of morphological and morphometric evidences provides the best support for the identification and delimitation of these challenging species. In addition, molecular analyses, mainly supported by nuclear markers, allow fundamental aspects of the evolutionary history of these organisms to be discerned.
Compact moduli of noncommutative projective planes

We introduce the notion of the moduli stack of relations of a quiver. When the quiver with relations is derived-equivalent to an algebraic variety, the corresponding compact moduli scheme can be viewed as a compact moduli of noncommutative deformations of the variety. We study the case of noncommutative projective planes in detail, and discuss its relation with geometry of elliptic curves with level 3 structures.
Analytical Assessment of Parsian bank customers ' satisfaction levels of service quality using Servqual model

The purpose of th is study is investigating the relation between levels of services quality and customers' satisfaction. Population of this study includes customers of Parsian Bank. In this study, it has been used Servqual model for evaluating the customers' satisfaction le vels and for data analysis; there has been used Parametric T test. Results indicated that there is a significant difference between dimensions of study variables (i.e. tangible and physical dimensions, reliability, responsiveness, assurance and concordance ) in the perceptual level and expectations. J Am Sci 2012;8(11): 364 - 369 ). (ISSN: 1545 - 1003). http://www.jofamericanscience. org . 56 For evaluating the customers' satisfaction, different models can be used. According to the type of categorizing agreed by Topfer and Sebastian Paffath et al (1990), the models for measuring the customer's satisfaction is divided into two parts obje ctive and subjective. According to objective models, customer's satisfaction may be evaluated by indices correlating with the severity of customer's satisfaction such as market portion, number of complaints, annual profit,… it must be noted that because su ch indices don't include the personal believes of customers, therefore the validity of such models is in doubt; for example, the sales rate of a product may not be interpreted as customer's satisfaction. In comparison, subjective models are based on the sa tisfaction level of customers' requirements. On the other hand, these models perform based on the perception of customers from their satisfaction. These models directly use the beliefs of customers and provide an approach from the customer's satisfaction t hat is closer to their perception. Therefore, by exploiting different methods of information collection and applying the data sharing systems, organizational management may take action to determine and receive the tendencies and requirements of customers, by which measure its customers' satisfaction from bank affairs; this study aims to evaluate the satisfaction levels of customers of Parsian Bank from the quality provided by Servqual model. Literature Review
Machine Learning Based Statistical Prediction Model for Improving Performance of Live Virtual Machine Migration

Service can be delivered anywhere and anytime in cloud computing using virtualization. The main issue to handle virtualized resources is to balance ongoing workloads. The migration of virtual machines has two major techniques: (i) reducing dirty pages using CPU scheduling and (ii) compressing memory pages. The available techniques for live migration are not able to predict dirty pages in advance. In the proposed framework, time series based prediction techniques are developed using historical analysis of past data. The time series is generated with transferring of memory pages iteratively. Here, two different regression based models of time series are proposed. The first model is developed using statistical probability based regression model and it is based on ARIMA (autoregressive integrated moving average) model. The second one is developed using statistical learning based regression model and it uses SVR (support vector regression) model. These models are tested on real data set of Xen to compute downtime, total number of pages transferred, and total migration time. The ARIMA model is able to predict dirty pages with 91.74% accuracy and the SVR model is able to predict dirty pages with 94.61% accuracy that is higher than ARIMA.
Tropical transition of a Mediterranean storm by jet crossing

The tropical transition of a Mediterranean storm that occurred on 26 September 2006 over southeastern Italy is investigated. The explosive development classified this cyclone as a bomb and its full‐tropospheric warm core as a tropical‐like storm or medicane. Forecasts at different scales were analysed to identify the key mechanisms in the explosive development of the medicane. At 108 h lead time, the European Centre for Medium‐Range Weather Forecasts (ECMWF) failed to predict the medicane and the associated upper‐level trough downstream of the ex‐tropical cyclone Helene during its extratropical transition. At shorter range, forecasts by both ECMWF and Action de Recherche Petite Echelle Grande Echelle (ARPEGE) increasingly improved with decreasing lead times. The depth of the medicane was missed, however, probably because of the too low resolution with respect to the 60 km diameter cyclone. Forecasts at kilometre scale were run using the mesoscale model Meso‐NH and verified against in situ and satellite observations. The Meso‐NH forecasts were found to be very sensitive to the initial conditions. Reduced static stability at the southern tip of the upper‐level trough determined the convective activity around the pre‐existing mesocyclone. The medicane was then formed only if enough vertically developed convection was further enhanced by the jet‐induced upward forcing. Otherwise, no tropical transition of the mesocyclone was predicted. This study shows the role of an upper‐level jet in explosively deepening a mesocyclone into a tropical storm. Copyright © 2011 Royal Meteorological Society
Two novel coordination polymers based on multicarboxylate derivatives and flexible dipyridyl ligand: Synthesis, structures and photoluminescent properties

The reactions of 4-hydroxyphthalic acid (H2hpc) and 1,2-bi (4-pyridyl) ethane (bpa) with Zn/Cd (II) salts yield two novel 2D layer structures. [Zn(hpc)(bpa)]n (1) consists of hpc anion-bridged mononuclear Zn chains that are joined further by flexible trans-bpa ligands into a 2D layer. Different from complex (1), the 2D layer structure of [Cd(hpc)(bpa)(H2O)]n (2) features hpc-bridged binuclear cadmium(II) motifs cross-linked by flexible trans-bpa ligands along different directions. Photoluminescence measurements of (1) and (2) in the solid state at room temperature show that there is a slight difference in their fluorescent properties probably due to the different metal ions and coordination environments, which allows a case study on the structure-property correlation.
An AES Study of the Room Temperature Surface Conditioning of Technological Metal Surfaces by Electron Irradiation

The modifications to technological copper and niobium surfaces induced by 2.5 keV electron irradiation have been investigated in the context of the conditioning process occurring in particle accelerator ultra high vacuum systems. Changes in the elemental surface composition have been found using Scanning Auger Microscopy (SAM) by monitoring the carbon, oxygen and metal Auger peak intensities as a function of electron irradiation in the dose range 10 to 10 C mm. The surface analysis results are compared with electron dose dependent secondary electron and electron stimulated desorption yield measurements. Initially the electron irradiation causes a surface cleaning through electron stimulated desorption, in particular of hydrogen. During this period both the electron stimulated desorption and secondary electron yield decrease as a function of electron dose. When the electron dose exceeds 10 C mm electron stimulated desorption yields are reduced by several orders of magnitude and the electron beam induced growth of a carbon layer becomes the dominant process. Simultaneously the secondary electron yield is further reduced to values which are below those of an atomically clean metal surface. Paper submitted to Applied Surface Science Geneva, Switzerland May 2002
Genetic gains in physic nut using selection indexes

Abstract – The objective of this work was to estimate genetic gains in physic nut ( Jatropha curcas ) using selection indexes and to establish the best selection strategy for the species. Direct and indirect selection was carried out using different selection indexes, totalizing 14 strategies. One hundred and seventy five families from the active germplasm bank of Embrapa Agroenergy, Brasilia, Brazil, were analyzed in a randomized complete block design with two replicates. The evaluated traits were: grain yield; seeds per fruit; endosperm/seed ratio; seed weight, length, width, and thickness; branches per plant at 0.5, 1.0, and 1.5 m; plant height; stem diameter; canopy projection on rows and between lines; canopy volume; juvenility (days to the first flowering); and height of the first inflorescence. Evaluations were done during the second year of cultivation. The use of selection indexes is relevant to maximize the genetic gains in physic nut, favoring a better distribution of desirable traits. The multiplicative and restrictive indexes are considered the most promising for selection.Index terms:
Comparatively analysis of AODV and DSR in MAC layer for Ad Hoc Environment

Network coding is a new research area that may have interesting applications in practical networking systems. With network coding, intermediate nodes may send out packets that are linear combinations of previously received information. There are two main benefits of this approach: potential throughput improvements and a high degree of robustness. We explain what network coding does and how it does it. We also discuss the implications of theoretical results on network coding for realistic settings and show how network coding can be used in practice.
Regional Cooperation for the Responsible Use of the Caribbean Spiny Lobster Resource

The Caribbean Spiny lobster, Panulirus argus, resource supports valuable fisheries in the western central Atlantic, which provide employment and high economic returns. Recent assessments under the auspices of FAO Western Central Atlantic Fishery Commission (WECAFC) have indicated that the resource is being fully or overexploited over much of its range. Primarily because of the lengthy pelagic phase of P.argus larvae, the resource is shared in the region so national research and management initiatives will be most effective biologically and economically if implemented in a coordinated and co-operative manner. There has been some regional co-operation in research and management through the FAO WECAFC, in co-operation with regional agencies, in particular UNEP, CFMC and CRFM. Under the auspices of WECAFC, workshops on the assessment and management of the Caribbean spiny lobster resource were held in Belize City, Belize, 1997; in Merida, Mexico, 1998 and 2000; Havana, Cuba 2002; and in Merida, Mexico 2006. This paper provides an overview of the results and management decisions of the 2006 workshop, which included the recommendation that countries should adopt a minimum size of 74 mm of carapace length, or above, for harvest and to manage fishing mortality in order to achieve sustainable use of the resource. Greater effectiveness in research and management can be achieved through regional cooperation.
Four-Hundred-and-Ninety-Million-Year Record of Bacteriogenic Iron Oxide Precipitation at Sea-Floor Hydrothermal Vents

Fe oxide deposits are commonly found at hydrothermal vent sites at mid-ocean ridge and back-arc sea floor spreading centers, seamounts associated with these spreading centers, and intra-plate seamounts, and can cover extensive areas of the seafloor. These deposits can be attributed to several abiogenic processes and commonly contain micron-scale filamentous textures. Some filaments are cylindrical casts of Fe oxyhydroxides formed around bacterial cells and are thus unquestionably biogenic. The filaments have distinctive morphologies very like structures formed by neutrophilic Fe oxidizing bacteria. It is becoming increasingly apparent that Fe oxidizing bacteria have a significant role in the formation of Fe oxide deposits at marine hydrothermal vents. The presence of Fe oxide filaments in Fe oxides is thus of great potential as a biomarker for Fe oxidizing bacteria in modern and ancient marine hydrothermal vent deposits. The ancient analogues of modern deep-sea hydrothermal Fe oxide deposits are jaspers. A number of jaspers, ranging in age from the early Ordovician to late Eocene, contain abundant Fe oxide filamentous textures with a wide variety of morphologies. Some of these filaments are like structures formed by modern Fe oxidizing bacteria. Together with new data from the modern TAG site, we show that there is direct evidence for bacteriogenic Fe oxide precipitation at marine hydrothermal vent sites for at least the last 490 Ma of the Phanerozoic.
A Small-Sample Adaptive Hybrid Model for Annual Electricity Consumption Forecasting

Annual electricity consumption forecasting is one of the important foundations of power system planning. Considering that the long-term electricity consumption curves of developing countries usually present approximately exponential growth trends and linear and accelerated growth rate trends may also appear in certain periods, this paper first proposes a small-sample adaptive hybrid model (AHM) to extrapolate the above curves. The iterative trend extrapolation equation of the proposed model can simulate the linear, exponential, and steep trends adaptively at the same time. To estimate the equation parameters using small samples, the partial least squares (PLS) and iteration starting point optimization algorithms are suggested. To evaluate forecasting performance, the artificial neural network (ANN), grey model (GM), and AHM are used to forecast electricity consumption in China from 1991 to 2014, and then the results of these models are compared. Analysis of the forecasting results shows that the AHM can overcome stochastic changes and respond quickly to changes in the main electricity consumption trend because of its specialized equation structure. Overall error analysis indicators also show that AHM often obtains more precise forecasting results than the other two models.
Knowing Words and Understanding Texts: Models of Some Basic Relationships.

ABSTRACT Prompted by current theories in reading suggesting that variation in word knowledge affects the pr cessing of not only individual words but also clauses and sentences, this report explores some different ways in which children's comprehension processes may be affected by variation in word knowledge. The report first examines whether the effects of word knowledge on comprehension are similar for skilled and less-skilled readers, then compares how well stories containing unfamiliar versus recently taught words are remembered. It then considers various models of how comprehension processes may have been affected to produce the observed recall differences and evaluates them against experimental data. Finally, it presents some implications for theories of text processing, education, and the use of modelling as an experimental tool. (HOD)
Adsorption of Chromium (VI) from Wastewater by Anion Exchange Resin

Strong anion exchange resin (Spectra/Gel IE 1x8) has been investigated as adsorbent for the efficient removal of Cr(VI) ions from synthetic wastewater solutions. Batch experiments were conducted with initial Cr(VI) ions concentration ranging from 25-300 mg/L. Different parameters influencing Cr(VI) adsorption process such as; solution pH, Cr(VI) and adsorbent concentration and contact time were investigated. Results obtained revealed that Cr(VI) was successfully retained by the resin. Equilibrium was established within 30 minutes for initial Cr(VI) concentration up to100 mg/L. The equilibrium data for adsorption of Cr(VI) was fitted with both Langmuir and Freundlich isotherms, however, Langmuir isotherm model was found to be more suitable for the Cr(VI) adsorption and maximum adsorption capacity of the Cr(VI) was found to be 173.8 mg/g. The adsorption process followed second order kinetics. The resin was regenerated by using 4M NaOH as an eluent and retained Cr(VI) adsorption efficiency higher than 83% after three regeneration cycles.
C. G. (2016). Association of lactase persistence genotype with milk consumption, obesity and blood pressure: a Mendelian randomization study

Background: Milk intake has been associated with lower blood pressure (BP) in observational studies, and randomized controlled trials suggested that milk-derived tripeptides have BP-lowering effects. Milk intake has also been associated with body mass index (BMI). Nevertheless, it is unclear whether increasing milk consumption would reduce BP in the general population. Methods: We investigated the association of milk intake with obesity and BP using genetically-defined lactase persistence (LP) based on the rs4988235 polymorphism in a Mendelian randomization design in the 1982 Pelotas (Southern Brazil) Birth Cohort. These results were combined with published reports identified through a systematic review using meta-analysis. Results: In the 1982 Pelotas Birth Cohort, milk intake was 42 [95% confidence interval (CI): 18; 67) ml/day higher in LP individuals. In conventional observational analysis, each 1-dl/day increase in milk intake was associated with 0.26 (95% CI: 0.33; 0.19) kg/m in BMI and 0.31 (95% CI: 0.46; 0.16) and -0.35 (95% CI: 0.46; 0.23) mmHg in systolic and diastolic BP, respectively. These results were not corroborated when analysing LP status, but confidence intervals were large. In random effects meta-analysis, LP individuals presented higher BMI [0.17 (95% CI: 0.07; 0.27) kg/m] and higher odds of overweight-obesity [1.09 (95% CI: 1.02; 1.17)]. There were no reliable associations for BP. Conclusions: Our study supports that LP is positively associated with obesity, suggesting that the negative association of milk intake with obesity is likely due to limitations of VC The Author 2016. Published by Oxford University Press on behalf of the International Epidemiological Association 1573 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. International Journal of Epidemiology, 2016, 1573–1587 doi: 10.1093/ije/dyw074 Advance Access Publication Date: 11 May 2016
A design methodology for parts using additive manufacturing

Additive Manufacturing (AM) allows designer to sidestep several design requirements and to create free forms, hollow parts or direct assemblies. This process also allows direct recycling of plastic into new parts, which eases the raw material supply. However, although several methodologies are used to redes-ign products and parts, none is dedicated to a real design of parts and products in AM. At first, we will sug-gest the base of a new design methodology for an end-user who wants to create a product or a part in AM. Then, we will show an example of using our methodology. Finally, we will conclude on the limits of this methodology and on our next work to validate our methodology.
On the functional significance of symbiotic microorganisms in the Homoptera: a comparative study of Acyrthosiphon pisum and Nilaparvata lugens

All phloem‐feeding Homoptera possess symbiotic microorganisms. Although the phylogenetic position and anatomical location of the micro‐ organisms differ, the underlying theme of the symbiosis is the same; the microorganisms improve the nutritional quality of the diet through the provision of essential amino acids. The symbiosis has been well documented in aphids, but little information is available from other homopteran groups. The impact of the loss of bacterial symbionts in the pea aphid Acyrthosiphon pisum Harris and eukaryotic yeast‐like symbionts in the Asian rice brown planthopper Nilaparvata lugens Stål was examined in parallel. The weight and relative growth rate of aphids and planthoppers was significantly reduced by symbiont loss, and characteristic features of aposymbiotic pea aphids, so‐called ‘metabolic signatures’, were, for the first time, observed in aposymbiotic N. lugens. For example, the amount of protein per unit fresh weight was reduced by 26 and 10%, and the free amino acid levels increased 1.8‐ and 1.4‐fold, in aposymbiotic A. pisum and N. lugens, respectively. In addition, the concentration of the amino acid glutamine was elevated in the tissues of aposymbiotic insects. The data are discussed in the context of our current understanding of the nutritional role of the symbiosis and the mechanisms of nitrogen metabolism in the two insect species. It is concluded that the metabolic adjustments of the insects to symbiont loss are broadly equivalent.