Miracle-dz/UniFAR-FTUs huggingface dataset:
Network Intrusion Detection using Categorical Clustering

In this paper we present a technique for network intrusion detection based on a subspace based categorical clustering algorithm. Attributes with continuous values are discretised before applying the categorical clustering al gorithm. We propose a model regarding the behaviour of attack and normal instances. Parameters of the clustering algorithm are tuned according to the assumptions in the model which provides the basis for detecting anomalies and normal instances. Our technique produced good results for the KDD CUP 1999 Corrected dataset.
Commissioning Status of the Chopper System for the MAX IV Injector

The MAX IV facility in Lund, Sweden consists of two storage rings for production of synchrotron radiation, and a short-pulse-facility (SPF). The two rings are designed for 3 GeV and 1.5 GeV, respectively, where the initial beam commissioning of the former has recently been completed, and commissioning of the latter was started in September 2016. Both rings will be operating with top-up injections delivered by a full-energy injector. In order to reduce losses of high-energy electrons along the injector and in the rings during injection, only electrons that are within a time structure where they can be accumulated in the ring buckets are accelerated. Electrons outside this time structure are dumped before they reach the first LINAC structure by a chopper system. The performance of the chopper system during commissioning of the 3 GeV ring is presented in this paper.
Understanding structural and cultural school characteristics in relation to educational change: the case of ICT integration

This study builds on the idea that school characteristics affect educational change, such as ICT integration. The goal of this inquiry is to explore both structural school characteristics (i.e. infrastructure, planning and support) and cultural school characteristics (i.e. leadership, goal orientedness and innovativeness) and how they contribute to ICT integration in the classroom. A survey of 527 teachers in 68 primary schools in Flanders (Belgium) was conducted that focused on teacher perceptions about structural and cultural school characteristics and their use of ICT in the classroom. In order to study the variables at school level, teacher responses were aggregated. The next step was to delineate school profiles originating from structural and cultural school characteristics by using a cluster analysis. Finally, the relationship between these school profiles and ICT integration was studied. The results suggest that (1) structural and cultural school characteristics fit together and (2) are relevant catalysts for ICT integration in the classroom.
Experimental evidence of polymorphysm of sexual development in Capitella sp. B (Polychaeta: Capitellidae) from Barcelona, Spain

The development and growth of Capitella sp. B obtained from Barcelona were studied under culture conditions. Trochophore and metatrochophore larvae hatched non-simultaneously (two release periods) from single brood tubes. This is the first laboratory evidence of polymorphysm of sexual development in the Capitella capitata species-complex. During the first release period, only free swimming trochophores hatched. The females, still bearing larvae inside the brood tube, were transferred to another dish. After three days, ciliated metatrochophores hatched from 8.7% of the transferred broods. In a culture experiment, larvae maintained in sediment enriched with artificial food grew to immature and mature adults. In this condition, the larvae that hatched during the first release reached the immature adult stage, while the larvae derived from the second release became mature adults. Oogenesis was observed three times in one female from the second release, though no spawning and fertilization occurred under incubation with sib mature males. Two different sizes of coelomic oocytes were observed. Polymorphysm of sexual development is discussed as an advantageous reproductive strategy enhancing survival in organic enriched sediments.
NONSYNDROMIC CLEFT LIP AND/OR PALATE. THE ROLE OF FOLIC ACID 30

The nonsyndromic cleft lip and/or palate (NSCL/P) is a common congenital orofacial defect of multifactorial origin with involvement of genetic and nutritional factors. The presence of genetic polymorphisms in enzymes that metabolize folic acid and vitamin supplements used to prevent these anomalies have not yet been well established in the literature. The aim of this study was to conduct a review of the literature about the role of folate and gene polymorphisms in the metabolic pathway of folic acid as regards the occurrence of NSCL/P. We reviewed theoretical material that addressed data on these topics. According to the studies analyzed in the literature, there was no consensus with regard to the protective effect of supplemental folic acid taken in the periconceptional period in the prevention of NSCL/P. The studies that evaluated defects in genes involved in folate metabolism, found an association of some polymorphisms with NSCL/P in different populations.
Company Profitability and Labour Intensity under Different Phases of the Economic Cycle: A Pan-European Empirical Study

Our paper seeks to investigate the relationship between company profitability and labour intensity in 17 European Union (EU) member states in the comparative perspective of Central and Eastern Europe (CEE) and Western Europe (WE). Our study is based on the 2001 to 2009 data of 93,500 companies from the Amadeus database. We find that companies with higher labour intensity tend to operate with higher EBITDA margins, potentially the effect of their larger flexibility to changes in demand and overall economic conditions. However, we find that companies with higher labour intensity have lost relatively more in their profitability during the 2008-2009 economic crisis. This may relate to potentially large redundancy costs of labour intensive companies under a need to decrease workforce as a result of lower activity levels. Another explanation might be that salaries as well as staff numbers did not react to the economic crisis as quickly as other costs and companies' profits did.
Market behavior of OPEC countries: An Application of Panel data Models

e.g.and Kaufmann et al., 2004) have analyzed the collusive, competitive and monopolistic behavior of OPEC and its power to influence the market. For example, Griffin (1985) claims that “OPEC appears to be a real cartel with at least partially effective output coordination” while Gulen (1996) suggests that “OPEC did not act as a cartel in the 1980’s in order to maintain prices, while it took the advantage of market condition in 1970’s and did not have to restrain output. ” On the other hand, Kaufman et al.
Armillariella Oral Solution Ameliorates Small Intestinal Damage in a Mouse Model of Chemotherapy-Induced Mucositis

Abstract Background: Armillariella oral solution (AOS) shows therapeutic effect on gastrointestinal disorders. We aimed to investigate the potential efficacy of AOS on chemotherapy-induced intestinal mucositis in mice. Methods: Intestinal mucositis was induced in C57BL/6 mice by daily intraperitoneal injection of 5-FU (50 mg/kg) for 7 days. Effects of AOS (at 1, 5, and 10 mL/kg), or combined Bifidobacterium and Lactobacillus (CBL, 450 mg/kg) on the accompanying morphometry and histology, expression of Ki-67, caspase-3, Lgr5 and apoptosis of intestinal crypt cells were assessed. Results: Continuous administration of 5-FU to mice caused severe intestinal mucositis, which was histologically characterized by the destruction of intestinal crypts and shortening of villi, accompanied by diarrhea and body weight loss. Daily AOS administration dose-dependently reduced the severity of intestinal mucositis, diarrhea and body weight loss. Similar beneficial effects were observed with CBL. The expression of Ki-67 and Lgr5 decreased and the expression of caspase-3, and the number of apoptotic cells increased 24 h after the first 5-FU administration (P < 0.05), and these responses were significantly reduced by AOS treatment (P < 0.05, at 5 or 10 mL/kg). Conclusions: AOS can alleviate 5-FU-induced mucositis in mice via increasing Lgr5 expression and suppressing apoptotic responses in the intestinal crypt cells.
Exploring of endophytic Bacillus subtilis as an agent of biocontrol for walnut canker

One endophytic bacteria was found with strong inhibition to walnut canker pathogen, Botryosphaeriadothidea, on medium PDA during dual culture. Field investigation within 2 years after scaled inoculation verified this bacteria can be explored as potential function agents of biocontrol for walnut canker disease, with 84.1% cured rate and 9.6% new occurred rateat 3 months later at Sept. , and 3.2% new occurred rate at next Sept, compared with 60.5% cured rate and 24.5 % new occurred rate of fungicide tebuconazole at current year, while 25.6% of new occurred rate in next Sept. Sequences of 16S ribosome DNA showed this bacteria is identical with Bacillussubtilis. Functional gene of TasA detection revealed it secret antimicrobe piptidase, which can inhibit pathogen sporulation and can be used in field for walnut canker suppression.
Kenjiro Ara Meets Frank Ramsey: Unbalanced Growth in a Neoclassical Optimal Growth Model

We will study the unbalanced growth in a neoclassical two-sector optimal growth model with sector specific technical progress, which is an optimal growth version of Ara (1969), and will demonstrate the existence and the saddle-point stability of the optimal steady state (OSS) in the efficiency-units. By so doing the efficiency-units OSS paths will exhibit the unbalanced growth in terms of the original-units; each sector will grow at its own growth rate. Furthermore the growth rate of the aggregated output (GDP) will converges to the one of the sector with the higher technical progress. JEL Classification:O14,O21,O24,O41
MODELLING OF FLEXIBLE LINK MANIPULATOR DYNAMICS USING RIGID LINK THEORY WITH FINITE ELEMENT METHOD

As flexible link manipulator (FLM) more often used in applications viz.,space and terrestrial applications, micro-surgical operation, collision control and contouring control which may be used in grinding robots, nuclear maintenance, e.g., to perform decontamination tasks and are widely used where volume constrain is there. Hence, more rapid and easier method to solve dynamics of FLM is much in concern. This paper presents dynamic modeling techniques using finite element method for flexible robots using rigid link theory. In this approach main emphasis is to discretise whole flexible link in very small parts each considering as a rigid link. Then applying Lagrange-Euler formulationof rigid link with finite element method dynamics of FLM can be solved.
Research on Brand Loyalty of Smart Phone Customer in Fast Iterative Context

In the mobile Internet era, the innovation and development of intelligent terminal are improving with each passing day and the rapid iterative phenomenon of smart phones is not uncommon, but the enterprises easily lost the direction in the process of upgrading the product with continuous improvement but little success. In this case, companies should focus on the factors which affect consumer brand loyalty to maintain and continue to improve consumer brand loyalty. Based on Fernandre logic model, this paper builds the data model of customer loyalty and proposes the hypothesis. By issuing questionnaires, we collect and analyze the data, verify the hypothesis and conclude the conclusion. Finally, we put forward the advice about maintaining and improving the customer brand loyalty in the fast iteration situation.
Integrating data mining into contextual goal modeling to tackle context uncertaintiesat design time

Understanding and predicting all context conditions the self-adaptive systems will be exposed to during its life time and implementing appropriate adaptation techniques is a very challenging mission. If the system cannot recognize and adapt to unexpected contexts, this can be the cause of failures in self-adaptive systems, with possible implications of not being able to fulfill user requirements or even resulting in undesired behaviors. Especially for dependability attributes, this would have fatal implications. The earlier the broad range of high level context conditions can be specified, the better adaptation strategies can be implemented and validated into the selfadaptive systems. The objective of this work is to provide (automated) support to unveil context sets at early stages of the software development life cycle and verify how the contexts impact the system’s dependability attributes. This task will increase the amount of potential issues identified that might threaten the dependability of self-adaptive systems. This work provides an approach for the automated detection and analysis of context conditions and their correlations at design time. Our approach employs a data mining process to suitably elicit context sets and is relying on the constructs of a contextual goal model (CGM) for the mapping of contexts to the system’s behavior from a design perspective. We experimentally evaluated our proposal on a Body Sensor Network system (BSN), by simulating a myriad of resources that could lead to a variability space of 4096 possible context conditions. Our results show that our approach is able to elicit contexts that would significantly affect a high percentage of BSN assisted patients with high health risk profile in fulfilling their goals within the required reliability level. Additionally, we explored the scalability of the mining process in the BSN context, showing it is able to perform under a minute even for simulated data at the size of over five orders of magnitude. This research supports the development of self-adaptive systems by anticipating at design time contexts that might restrain the achievability of system goals by means of a sound and efficient data mining process.
Use Genetic Algorithm in Designing an Adaptive System

Learning Classifier Systems (LCS), are a machine learning technique which combines reinforcement learning, evolutionary computing and other heuristics to produce adaptive systems. The aim of this work is designing an adaptive system with learning capabilities sufficient to let it adapt to its environment and meet the goal of survival. The system called (Adaptive Lamb) focuses in creating adaptive creature (lamb) using computer simulation, and learning it how to choose between two different basic behaviours, (approach & escape). The system (Adaptive Lamb) uses three classifier systems, which has two levels distributed architecture. Three classifier systems were used to perform complex behaviour. First classifier learns simulated lamb to eat grass (approach behaviour), i.e. move one step toward grass when fox is disappear. Second classifier learns the simulated lamb went to Land (escape behaviour) i.e. move one step toward Land when the fox is appear. The third classifier system is controller classifier system should learn switching policy i.e. to which classifier system gives the control when more than one of them is active. First results of the application of this algorithm are shown genetic algorithm were used to implement robotics controller with interesting properties such as provides guidance to the system and shortening the number of cycles required to learn.
Characterization and evaluating of antioxidant and antihypertensive properties of green alga (Codium fragile) from the coast of Sfax

The present study was conducted to evaluate the composition and the antioxidant activity of hexane, ethyl acetate and methanol extracts of the green algae (Codium fragile) collected from Sfax (Tunisia) during spring 2013. Alga was cleaned from epiphytes, washed; air dried and powdered to determinate the mineral, polyphenol, flavonoids and tannin content. The antioxidant activity of the algal extracts was determined using the procedures of total antioxidant activity, free radical scavenging (DPPHdecolorization method) and ABTS radical-scavenging activity. According to the results, it was noted that this green alga has an important carbohydrate content, followed by lipids and proteins with a higher content in polyphenol, flavonoid and low levels of tannins in the three extracts of the seaweed with an interesting antioxidant in vitro capacity showed at the methanol extract. The tested extract showed excellent interfacial concentration-dependent properties. Overall, the results suggested that Codium fragile is promising source of natural antioxidants and ACE inhibitory agents and could, therefore, be used as alternative additives pharmaceutical preparations.
Australasian ( ACIS ) December 2005 SMEs gaining competitive advantage through eCollaboration

Collaboration can be enabled by the use of web technologies. This paper outlines a project established to investigate possible strategies that could be adopted by Australian toolmakers to allow them to be more competitive in the global market. Results show progress in eTransforming their organizations and steady movement towards eCollaboration. It is suggested that trust is a crucial underlying aspect of successful collaboration. Future studies include the expansion of the framework and strategies to other Australian toolmakers.
Feather wastes digestion by new isolated strains Bacillus sp. in Morocco

Eight strains of Bacillus were isolated from non treated soil, characterized and used for the digestion of feather wastes in the laboratory. Non-protein nitrogen (NPN) and total protein (TP) were determined during the incubation time and the microbial counts of the different strains during feather hydrolysis were also monitored. Results of the screening test showed that the solid pieces of feather were completely digested by all the strains. The most efficient isolated strain selected was compared with Bacillus subtilis ATCC 6633. Results showed that the total protein decreased from 13.6% to 1.92 % with the isolated strain, and from 12.25 % to 2.99% with the standard strain. The NPN reached a concentration of 43.2mg/100g and 20.5 mg/100g with the isolated and standard strains, respectively.
THEORY OF DISCRETE FOURIER SERIES GENERATED BY GENERALIZED DIFFERENCE OPERATOR

Constant amplitude transforms like Discrete Fourier Transform (DFT), Walsh transform, nonlinear phase Walsh-like transforms and Gold codes have been successfully used in many wire-line and wireless communication technologies including code division multiple access (CDMA), discrete multi-tone (DMT) and orthogonal frequency division multiplexing (OFDM) types. In this paper, we derive the discrete Fourier Series using orthonormal func- tions and generalized difference operator with its inverse. Suitable examples are provided to illustrate the main results.
Scattering properties of modeled complex snowflakes and mixed‐phase particles at microwave and millimeter frequencies

A microphysically based algorithm (named Snow Aggregation and Melting (SAM)) that models snowflakes composed of a collection of hexagonal columns by simulating a random aggregation process is presented. SAM combines together pristine columns with multiple dimensions to derive complex aggregates constrained to size‐mass relationship obtained by data collected from in situ measurements. The model also simulates the melting processes occurring for environmental temperatures above 0°C and thus define the mixed‐phase particles structure. The single‐scattering properties of the modeled snowflakes (dry and mixed phased) are computed by using a discrete dipole approximation (DDA) algorithm which allows to model irregularly shaped targets. In case of mixed‐phased particles, realistic radiative properties are obtained by assuming snow aggregates with a 10% of melted fraction. The single‐scattering properties are compared with those calculated through Mie theory together with Maxwell‐Garnett effective medium approximation using both a homogeneous sphere and a layered‐sphere models. The results show that for large‐size parameters there are significant differences between the radiative properties calculated using complex microphysical and optical algorithms (i.e., SAM and DDA) and those obtained from simplified assumptions as the layered‐sphere models (even when the radial ice density distribution of the aggregated snowflakes is perfectly matched). Finally, some applications to quantitative precipitation estimation using radar data are presented to show how the resulting differences in the basic optical properties would propagate into radar measurable. Large discrepancies in the derivation of the equivalent water content and snowfall rate from radar measurements could be observed when large‐size parameters are accounted for.
MicroBuilder: A Model-Driven Tool for the Specification of REST Microservice Architectures

In this paper we present MicroBuilder, the tool used for the specification of software architecture that follows REST microservice design principles. MicroBuilder comprises MicroDSL and MicroGenerator modules. The MicroDSL module provides the MicroDSL domain-specific language used for specification of microservice architecture. In this paper we present the MicroDSL meta-model, specified in Ecore, the concrete syntax of the MicroDSL and examples of its usage. The MicroGenerator module is used to generate executable program code based on MicroDSL
Finding a Probabilistic Approach to Develop a Fuzzy Expert System for the Assessment of Research Projects using ANP Approach

Nowadays, project selection is a vital decision in many organizations. Because competition among research projects in order to gain more budgets and to attain new scientific domain has increased. Due to multiple objectives and budgeting restrictions for academic research projects have led to the use of expert system for decision making by academic and research centers. The existing methods suffer from deficiencies such as solution time inefficiency, ineffective assessment process, and unclear definition of appropriate criteria. In this paper, a fuzzy expert system is developed and improved for decision making in allocating budgets to research projects, by using the analytic network process(ANP). This has led to fewer rules and regulation, faster and more accurate decision-making, fewer calculations, and less system complexity. The rules of the expert system exacted in C# environment, consider all of the conditions and factors affecting the system. We describe the results of proposed model to measure its advantages and compare to existing selection processes for 120 projects. We also discuss the potential of proposed expert system in supporting decision making. The implementation results show that this system is significantly valid in selecting high-priority projects with respect to the known criteria , decision making regarding the determination of the assessment factors, budget allocation, and providing the appropriate initiatives for the improvement of the low-priority projects.
Speech Steganalysis Using Delay Vector Variance Based Features

We investigate the use of delay vector variance-based features for recorded speech steganalysis. Considering that data hiding within a speech signal distorts the properties of the original speech signal, we design a steganalyzer that uses surrogate data based delay vector variance ( DVV ) features to detect the existence of a stego-signal. We evaluate the proposed DVV features with other chaotic-type features separately and all together. Also the applicability of the proposed method to general audio is discussed.