Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-agent Distributed Data Mining: Challenges and Research Directions

: Multi-agent-based computing aim is to deal with complex data systems has revealed chances to improve distributed data mining systems frameworks for distributed problem solving. Multi-agent systems consist of a network of problem solvers which are modelled in agents and provides a powerful abstraction that helps to model systems where multiple entities exhibiting self-directed behavior’s must co-exist within an environment. This paper presents the overview of multi agent-based distributed data mining techniques available in the literature. Various distributed data mining and machine learning methods with their efficiencies on different data sets are presented in detail. Efficient tools, applications and several problems are discussed. Comparative analysis of different techniques and their advantages and disadvantages are discussed. This paper also presented a framework that based on multi-agent approach to data mining of large datasets and research directions.
Dctbd-dependent and -independent expression of the Sinorhizobium (Rhizobium) meliloti C4-Dicarboxylate transport gene (dctA) during symbiosis

The Sinorhizobium meliloti C4-dicarboxylate transport gene (dctA) is essential for symbiotic nitrogen fixation. Under free-living conditions, the expression of dctA is fully dependent on the cognate regulatory genes dctBD. However, during symbiosis with the Medicago sativa host plant, the dctA gene is efficiently expressed even in the absence of the dctBD genes. The spatial expression of the dctA gene has been monitored in situ in mature nitrogen-fixing nodules formed by wild-type and dctD mutant strains. In nodules induced by a wild-type strain, expression was observed in both the infection zone and the nitrogen-fixing zone of the nodule. DctD-independent expression of dctA was observed with a previously described dctA∷lacZ fusion (pCU700) and was found to be confined to the fixation zone (zone III) of mature nodules. Therefore, the operation of the alternative system of symbiotic dctA activation (ASA) is concomitant with the onset of nitrogen fixation, which could be consistent with an increased need fo.
A Survey on Selection of Effective and Efficient Set of Reviews

: Online reviews are helpful for user to take appropriate decision while selecting a suitable product. However due the very long and irrelevant review content users face the problem to select the appropriate review. Now days Micro-Reviews are emerging as a new review concept in social media. Micro-Reviews are short (140-200 characters long) and highly focus on attributes and silent features of the product. Also these reviews can be posted by check-in services through mobile apps which make them more authentic and real time. This study proposes a novel mining problem which has used both the review sources (verbose review & Micro-Review) to select the small set of reviews which cover maximum attributes and silent feature of the product. This is two-step process: matching of review sentences with Micro-review and selection of small set of reviews that covers as many micro-reviews as possible. This problem is formulated by Integer Linear Programming and Greedy algorithm is used to obtain the optimal solution.
Twitter Trending Topic Summarization Using Speech Act

: In the world of social media such as facebook, whatsup,skype, viber, twitter, linked in,twitter is most common and widely used social media.We have seen in previous papers that there are lot of methods which are useful for summerizing the data,but it may it may be subject to some error.So to remove that drawbacks I have described Classification ,Preprocessing, Summarization methods . We have described phrase reinforcement and ranking algorithms that generates summary templet of different tweets. People tweets millions of time onces in day . This is like an multi document type ,in which it was very difficult to know ,the what people intent to be.So I have remove this drawback,I used different algorithms,symbol based and word based featurs to generate summary of particular topic.
Two Concepts of Validity and Completeness

A formula is (materially) valid iff all its instances are true sentences; and an axiomatic system is called (materially) sound and complete iff it proves all and only valid formulas. Th ese are ‘natural’ concepts of validity and completeness, which were, however, in the course of the history of modern logic, stealthily replaced by their formal descendants: formal validity and completeness. A formula is formally valid iff it is true under all interpretations in all universes; and an axiomatic system is called formally sound and complete iff it proves all and only formulas valid in this sense. Th ough the step from material to formal validity and completeness may seem to be merely an unproblematic case of explication, I argue that it is not; and that mistaking the latter concepts for the former ones may lead to serious conceptual confusions. 1. Regimentation and its completeness To start with, let us summarize some obvious facts about common logical calculi. Th e passage from a natural language sentence, such as (1) Mickey is a mouse and Donald is a duck to the corresponding formula of such a calculus, e.g. (1') P1(T1) ∧ P2(T2), can be analyzed as proceeding along two diff erent dimensions, which we can call regimentation and abstraction. Th e logical vocabulary of natural language becomes regimented: disambiguated, unifi ed and standardized – a cluster of ‘improvements’ for which we will use the umbrella term idealization. In this way, for example, the natural 2007 ACTA UNIVERSITATIS CAROLINAE PHILOSOPHICA ET HISTORICA 2 miscellanea logica (viii)
Optimization of the production of bioethanol from duckweed (Lemna minor)

This project has investigated the production of bioethanol from duckweed (Lemna minor) biomass. The project includes four main sections: firstly, analysis of the chemical characteristics of duckweed, particularly the polysaccharides of the cell wall; secondly, exploration of suitable commercial enzymes for degrading duckweed biomass to fermentable sugars; thirdly, optimisation of pretreatments and enzymatic saccharification; finally, fermentation and optimisation of the ethanol yield. Pond-grown L. minor contained 51.2 % carbohydrate (w/w dry matter) of which 77 % (including glucose, galactose and xylose) is fermentable. A series of enzymatic hydrolyses was used to evaluate the commercial enzymes and optimise conditions for their use in the saccharification of duckweed biomass. Celluclast 1.5L (CE) and Novozyme 188 (BG) were identified as suitable for hydrolysing duckweed cell walls (prepared as alcohol insoluble residues). The additional use of thermophysical pretreatment (steam explosion) results in a dramatic decrease in the amount of enzyme required for quantitative saccharification. A more advanced commercial cellulase cocktail (Cellic® CTec 2; CTec 2) is likely to further reduce the enzyme cost. Methods for the simultaneous saccharification, using CTec 2 and BG, and fermentation of steam exploded duckweed were developed. These resulted in an 80 % ethanol yield at a diluted substrate concentration (1 % w/v). However the ethanol yield decreased dramatically at higher substrate concentrations (to 18 % at 20 % w/v substrate concentration, which is a highly viscous suspension). Further studies involved the development of approaches to address this: (i) increasing the yeast titre in the inoculum or (ii) growing the inoculum on steam-exploded duckweed. These approaches facilitated an ethanol yield of up to 70 % (w/w) at a substrate concentration of 20 % (w/v). Maximising the final ethanol yield is of great importance in reducing the costs of production. The optimized ethanol production process indicates the technical potential for industrial ethanol production from duckweed. Operating costs have also been estimated and are discussed in relation to the potential exploitation of protein as a co-product.
The Integration of Lidar and Legacy Datasets Provides Improved Explanations for the Spatial Patterning of Shell Rings in the American Southeast

ABSTRACT Archaeologists have struggled to combine remotely sensed datasets with preexisting information for landscape-level analyses. In the American Southeast, for example, analyses of lidar data using automated feature extraction algorithms have led to the identification of over 40 potential new pre-European-contact Native American shell ring deposits in Beaufort County, South Carolina. Such datasets are vital for understanding settlement distributions, yet a comprehensive assessment requires remotely sensed and previously surveyed archaeological data. Here, we use legacy data and airborne lidar-derived information to conduct a series of point pattern analyses using spatial models that we designed to assess the factors that best explain the location of shell rings. The results reveal that ring deposit locations are highly clustered and best explained through a combination of environmental conditions such as distance to water and elevation as well as social factors.
Alternative community states maintained by fire in the Klamath Mountains, USA

1. The earliest examples of alternative community states in the literature appear to be descriptions of natural vegetation said to both depend on and promote fire. Nonetheless, alternative community states determined by fire have rarely been documented at landscape scales and in natural vegetation. This is because spatial autocorrelation may confound analyses, experimental manipulations are difficult and a long‐term perspective is needed to demonstrate that alternative community states can persist for multiple generations.
How KPI of competition authority can distort standards of evidence in competition investigations: the case of Russian Federation

Incentives of competition authority may provide strong influence on the standards of evidence applied in the authorities’ investigation and also by the courts that resolve competition cases. In the Russian competition enforcement motivation of the authority to achieve high ratio of the decisions coming into force results in the distortion of enforcement structure and welfare standards. Using a unique dataset of the appeals of infringement decisions in 2008-2012 years, we classify the investigated cases according to their potential impact on competition. The analysis reveals that the majority of cases would never be investigated under an appropriate understanding of the goals of antitrust enforcement, restrictions on competition and basic cost-benefit assessments of agency activity. Our analysis shows that antitrust authorities tend to investigate cases, which require less input but result in infringement decisions with lower probability of being annulled. Practice of enforcement is skewed towards cases where harm is an independent evidence of competition law violation.
Calculation of Skeletal Fluence-to-dose Response Functions for Korean Adults to Photon Exposures

Recently, a pair of new reference Korean phantoms, called mesh-type reference Korean phantoms (MRKPs), was developed for adult male and female in high-quality tetrahedral-mesh format to address the limitations of the voxel-type reference Korean phantoms due to the limited voxel resolution and the stair-stepped voxel geometry, thereby providing accurate organ absorbed doses and effective doses to Korean adults [1]. The MRKPs include most of the organs/tissues and micrometer-thick target and source regions required for the calculation of effective doses, with two exceptions. These exceptions are red bone marrow (RBM) and bone endosteum (BE), which were not directly defined in the phantoms due to the extremely complex skeletal structures. Instead, these skeletal tissues are defined as homogeneous regions (i.e., spongiosa and medullary cavity) in which RBM and BE doses can be approximated as the dose values multiplied by their mass fractions. This simple approach, however, can yield inaccurate dose values due to the inhomogeneous density and elemental composition distributions, especially in spongiosa regions, resulting in an overestimation of the absorbed dose to these skeletal target tissues at energies below ~200 keV [2]. To consider the skeletal structures for dose calculations, Shin et al. [3] modeled BE in medullary cavity region and incorporated site-specific spongiosa models developed based on the micro-CT data of Chinese adult cadavers into spongiosa regions of the MRKPs [3]. However, the micro voxel-based detailed spongiosa models coupled with MRKPs can be used for dose calculations only by parallel geometry feature provided by Geant4. Moreover, the MRKPs with incorporated spongiosa models require computer memory more than 120 GB and at least five times longer computational time for particle transportation. In the present study, to enable accurate dose estimations of RBM and BE without the incorporation of spongiosa models, the fluence-to-dose response functions (DRFs), which is originally developed by Eckerman [4], were calculated for Korean adults. With DRFs, the photons and their secondary electrons can be decoupled and the dose to RBM and BE can be calculated using the photon fluence passing through the spongiosa and medullary cavity regions. To calculate DRFs, the MRKPs incorporating the detailed spongiosa models [3] were used to calculate electron absorbed fractions to skeletal target tissues. To validate the calculated DRFs for Korean, using the Geant4 Monte Carlo simulation code [5], the absorbed doses to RBM and BE calculated by using the DRFs were compared with those calculated by using the detailed spongiosa models and the homogeneous spongiosa models for photons in antero-posterior (AP) directions ranging from 0.01 to 10 MeV.
Spatial and Temporal Variability in Instantaneous Growth, Mortality, and Recruitment of Larval River Herring in Tar—Pamlico River, North Carolina

Abstract We estimated the variation in the instantaneous rates of growth and mortality between cohorts of larval alewife Alosa pseudoharengus and blueback herring A. aestivalis in the Tar-Pamlico River, Pamlico Sound, North Carolina. The age of larvae captured by push net was estimated by counting the daily rings on sagittal otoliths. Weight-at-age and abundance-at-age data were used to generate instantaneous daily growth (G) and mortality rates (M) for 7-d cohorts. The instantaneous daily growth rate was relatively constant between cohorts, ranging from 0.103 to 0.277 for alewives and from 0.105 to 0.200 for blueback herring. The instantaneous daily mortality rate was more variable between cohorts, ranging from 0.064 to 0.270 for alewives and from 0.100 to 0.251 for blueback herring. All but one blueback herring cohort had an M/G value exceeding 1.0, indicating that these cohorts were losing biomass during the early larval stage. For alewives, M/G values were more variable, with 50% of the cohorts having values less than 1.0. The effect of habitat was consistent between species, with M/G values being higher and closer to 1.0 at sites in tributary creeks and backwater areas of Tar River. The overall M/G values were 0.57 for alewives and 1.60 for blueback herring from both backwater and main-channel sites, indicating that the environmental conditions in the Tar—Pamlico River are more favorable for alewives.
An AC LED Driver with Improved Total Harmonic Distortion and Power Factor

In this paper, A Bridgeless Boost converter proposed for improving power factor (PF) and total harmonic distortion (THD) of an AC LED driver. The proposed topology is integration of Boost and Buck-Boost converter. In conventional LED driver there were a bridge rectifier with large value of inductor and capacitor but in proposed topology one inductor and one capacitor with a very small value are used. By which distortion as well as PF are reduce significantly. After performing experiments we got PF>0.98 and THD<2%. Simulation of proposed circuit is done by MATLAB SIMULINK. Controlling of proposed circuit is done by FPGA. Index Term – AC LED, Boost, Buck-Boost, bridgeless, DC-DC Converter, Power Factor, and Total Harmonic Distortion —————————— u ——————————
Comparative Study on Signal Strength of Mechanical Index Using Ultrasound Machines with SonoVue Contrast

The purpose of this study was to compare the MI using SonoVue along with different machines output and to infer the meaning of the signal difference under the same condition. All of the comparative instruments showed strong signal values at early stage as MI value increased. Over time, the inter-instrumental signal values showed signal attenuation under all conditions except for 10 min of the condition of MI 0.1 of RS85A. E9 and EPIQ7 showed signal degradation due to microbubble collapse over time at all MI values. In the comparison of equipment, the signal strengths of MI 0.1, 0.2, and 0.4 were high in order of EPIQ7, RS85A and E9. In the quantitative analysis, there were statistically significant from the SNR and CNR that were obtained from RS85A and E9 (P-value<0.05). In the quantitative analysis, Epiq7 was statistically significant except for CNR as the MI value was changed In the contrast-enhanced ultrasound, even though MI value was low (MI <0.05), it will be helpful for diagnosis, controlling the MI and scan time because a difference in signal intensity was shown between the three machines.
Gas Boiler Powered by the Fuel Cell System

The paper presents a new solution for supply of boilers with electrical energy in the order to achieve autonomy from electrical grid. The paper presents the experimental system implemented in the university lab, the components and implementation in Matlab-Simulink for simulation. As a result of numeric simulation performed, the experimental bench has been achieved. The problem of power quality, especially the THD factor, affects the sensitivity of equipment at perturbations. In achieving of these systems, the authors propose that the electrical part of the supply system for building appliances must satisfy the EN 50160 standard, having the main voltage parameters and their permissile deviation ranges at the customer’s point of common coupling in public low voltage (LV), under normal operating conditions.
Drought and Salt Tolerance in Plants

Agricultural productivity worldwide is subject to increasing environmental constraints, particularly to drought and salinity due to their high magnitude of impact and wide distribution. Traditional breeding programs trying to improve abiotic stress tolerance have had some success, but are limited by the multigenic nature of the trait. Tolerant plants such as Craterostigma plantagenium, Mesembryanthemum crystallinum, Thellungiella halophila and other hardy plants could be valuable tools to dissect the extreme tolerance nature. In the last decade, Arabidopsis thaliana, a genetic model plant, has been extensively used for unravelling the molecular basis of stress tolerance. Arabidopsis also proved to be extremely important for assessing functions for individual stress-associated genes due to the availability of knock-out mutants and its amenability for genetic transformation. In this review, the responses of plants to salt and water stress are described, the regulatory circuits which allow plants to cope with stress are presented, and how the present knowledge can be applied to obtain tolerant plants is discussed.
Infrastructural Development and Its Effect on Economic Growth in Nigeria

This paper investigates the impact of infrastructure on economic growth in Nigeria. Vector Error Correction Model (VECM) was deployed. Co-integration test was conducted to establish the number of cointegrating vectors using Johansen’s methodology which have two test statistics which are the trace test statistic and the maximum Eigen-value test statistic. The research covered 47 years (1970 to 2017). The finding shows that infrastructural investment has a significant impact on output of the economy and that there is a long run relationship between infrastructure development and Nigerian economic growth. VECM have the expected negative sign, and is between the accepted region of less than unity. It also shows a low speed of adjustment towards equilibrium. The paper recommended increased investment in infrastructure. Also, the financing options for closing Nigeria’s infrastructure gaps should focus on broadening the sources of finance and a better allocation of public resources. Consequently, the government should intensify the utilization of the public-private-partnership (PPP) framework.
Elevated CO2 enhances stomatal responses to osmotic stress and abscisic acid in Arabidopsis thaliana

Carbon dioxide and abscisic acid (ABA) are two major signals triggering stomatal closure. Their putative interaction in stomatal regulation was investigated in well-watered air-grown or double CO 2 -grown Arabidopsis thaliana plants, using gas exchange and epidermal strip experiments. With plants grown in normal air, a doubling of the CO 2 concentration resulted in a rapid and transient drop in leaf conductance followed by recovery to the pre-treatment level after about two photoperiods. Despite the fact that plants placed in air or in double CO 2 for 2 d exhibited similar levels of leaf conductance, their stomatal responses to an osmotic stress (0.16-0.24 MPa) were different. The decrease in leaf conductance in response to the osmotic stress was strongly enhanced at elevated CO 2 . Similarly, the drop in leaf conductance triggered by 1 μM ABA applied at the root level was stronger at double CO 2 . Identical experiments were performed with plants fully grown at double CO 2 . Levels of leaf conductance and carbon assimilation rate measured at double CO 2 were similar for air-grown and elevated CO 2 -grown plants. An enhanced response to ABA was still observed at high CO 2 in pre-conditioned plants. It is concluded that: (i) in the absence of stress, elevated CO 2 slightly affects leaf conductance in A. thaliana; (ii) there is a strong interaction in stomatal responses to CO 2 and ABA which is not modified by growth at elevated CO 2 .
Alternative Design Relationship of Inner Diameter for Fault Approach of Salient Poles Synchronous Ma- chine

Electrical machines play a major role in a variety of applications: industrial drive with adjustable speed for motion control, power plant, conversion system of renewable energy, special applications etc. In all these kind of applications, the electrical machine –by its particularitiesleads to different specific benefits. UN undoubted general opinion about synchronous machine is the supremacy of its using in power plant [15]-[16]. This one is the ever largest electrical machines built by human. The actual maximal power size is up to 100 MVA. The design and construction of this machine is a large treatment subject for more time, and special contributions have been made from the starting of the XX century [1]. The design phase is based –on the preliminary step of procedure designis based on the model of electric circuit equivalent scheme, when several assumptions are taking into consideration [7]-[8]. On this step the design is powerful depended on practical experiences [8]. Usually, the practical dependences are obtained for the already build electrical machines and are based on a multitude of prototype cases. The graphical dependences are organized as a curve named monograms of design. This kind of approach is a traditional one and, in the least time, when advanced development has been performed of materials field, early monoANALELE UNIVERSITĂŢII