Miracle-dz/UniFAR-FTUs huggingface dataset:
Perfect Malicious Node Avoiding Mechanism for Mobile Ad-Hoc Networks

Mobile ad hoc networks are attractive due to the wireless communication, infrastructure less design, and the self-organized mobile swellings. These structures, conversely, introduce susceptibilities, meanwhile there are no federal control elements and the communication depends on cooperation of nodes. We propose a vigorous and distributed access control mechanism based on a trust model to sheltered the network and inspire cooperation by excluding misbehaving nodes from the network. The contrivance divides the access control responsibility into two frameworks: local and global. The local framework responsibility is the neighborhood watch to notify the global framework about suspicious behavior. In its turn, the global framework evaluates the received information and decides whether it punishes the suspicious node using an elective scheme. We model the malicious node avoiding mechanism and perform a parameter analysis. Simulation results prove that the combination of elective and faith schemes provides an accurate and particular classification and node avoiding mechanism, even though in situations of limited observing.
H∞ State Feedback Control of Discrete-time Markov Jump Linear Systems through Linear Matrix Inequalities*

Abstract This paper addresses the H∞ state-feedback control design problem of discrete-time Markov jump linear systems. First, under the assumption that the Markov parameter is measured, the main contribution is on the LMI characterization of all linear feedback controllers such that the closed loop output remains bounded by a given norm level. This results allows the robust controller design to deal with convex bounded parameter uncertainty, probability uncertainty and cluster availability of the Markov mode. For partly unknown transition probabilities, the proposed design problem is proved to be less conservative than one available in the current literature. An example is solved for illustration and comparisons.
Gene Expression of GFP from jellyfish into fish.

he green-fluorescent protein (GFP) of the jellyfish Aequorea victoria has recently been used as a universal reporter in a broad range of heterologous living cells and organisms. Fertilized eggs of the Carp (Cyprinus carpio) in the period of blastodisc formation and up to the fourth division of the cleavage were injected with two plasmids expressing the natural jellyfish GFP and synthetic engineered jellyfish (sGFP) using Microinjection method. Reverse transcription PCR products, cloning, sequencing, were analysed. Using universal transcription and translation enhancers with strong promoters, has been showed that GFP signals are detectable in transient expression systems of fish. The engineered GFP gene sequence gave higher GFP expression in fish than the natural jellyfish GFP sequence. This new tool can be used for studies of gene regulation, signal transduction, development and cell biology in animals and plants.
Antileukemic Activity of Epirubicin Conjugated with Biopolymer Dextran Against Lymphoid Leukemia L1210 as Tumor Model

ABSTRACT The antileukemic activity of the original conjugate of anthracycline antitumor antibiotic epirubicin, covalently bound to the biopolymer dextran was studied. The ascitic lymphoid leukemia L 1210 (transplantation dose 1x105 tumor cells/mouse, i. p.), in hybrid mice BDF1, was used as tumor model. An antileukemic activity of the studied original conjugate was found. The criterion “increase of life span” (ILS%) reached maximally 136,6% for the conjugate. The studied conjugate of biopolymer dextran with epirubicin showed lower toxicity but also lower antileukemic activity in comparison with free epirubicin. The further experiments in this field are in progress, aiming to design better conjugates, with potential clinical use.
Minimal Dilaton Model

Both the ATLAS and CMS experiments at the LHC have reported the observation of the particle of mass around 125GeV which is consistent to the Standard Model (SM) Higgs boson, but with an excess of events beyond the SM expectation in the diphoton decay channel at each of them. There still remains room for a logical possibility that we are not seeing the SM Higgs but something else. Here we introduce the minimal dilaton model in which the LHC signals are explained by an extra singlet scalar of the mass around 125GeV that slightly mixes with the SM Higgs heavier than 600GeV. When this scalar has a vacuum expectation value well beyond the electroweak scale, it can be identified as a linearly realized version of a dilaton field. Though the current experimental constraints from the Higgs search disfavors such a region, the singlet scalar model itself still provides a viable alternative to the SM Higgs in interpreting its search results.
Acta Polytechnica

Fleet automation often involves solving several strongly correlated sub-problems, including task allocation, motion planning, and coordination. Solutions need to account for very specific, domaindependent constraints. In addition, several aspects of the overall fleet management problem become known only online. We propose a method for solving the fleet-management problem grounded on a heuristically-guided search in the space of mutually feasible solutions to sub-problems. We focus on a mining application which requires online contingency handling and accommodating many domainspecific constraints. As contingencies occur, efficient reasoning is performed to adjust the plan online for the entire fleet.
Conditional Correlation Analysis

Conditional Correlation Analysis. Correlation analysis is a frequently used statistical measure to examine the relationship among variables in diﬀerent practical applications. However, the traditional correlation analysis uses an overly simplistic method to do so. It measures how two variables are related in an application by examining only their relationship in the entire underlying data space. As a result, traditional correlation analysis may miss a strong correlation between those variables especially when that relationship exists in the small subpopulation of the larger data space. This is no longer acceptable and may lose a fair share of information in this era of Big Data which often contains highly diverse nature of data where data can diﬀer in a noticeable manner within the same application. To remedy this situation, we are introducing a new approach called Conditional Correlation Analysis (CCR) in this thesis. Instead of computing the correlation among variables in the entire data space, this approach ﬁrst divides the entire data space into multiple subpopulations using patterns.It then computes the correlation for each subpopulation and identiﬁes the subpopulation which is highly diﬀerent (in term of correlation strength) from the global population. Moreover, we introduce the concepts of CCRs and the ways to mine those CCRs, provides measures to evaluate the unusualness of CCRs and gives experiments to evaluate and illustrate the CCR approach in ﬁnancial and medical applications.
Comparing non-ipsative measures of party support

Non-ipsative measures of party preference (preference ratings for each of the parties of a political system) have become common in election studies. They exist in different forms, such as thermometer ratings or feeling scores, likes and dislikes scores, or choice propensities. Usually only one of these is included in a single survey, which makes it difficult to assess the relative merits of each. The Irish National Election Study 2002 (INES2002) contained three different batteries of non-ipsative party preferences, a feature which allows a systematic comparison between them. This paper investigates some properties of these different indicators. We focus mainly on the relationship between non-ipsative preferences and actual choices. This relationship is particularly revealing in a STV electoral system that allows voters to cast multiple ordered votes for candidates from different parties. Additionally, we investigate the latent structure of each of the batteries of party preferences and the relationships between them. We conclude that the three instruments are not interchangeable, that they measure different kinds of preferences. If the purpose is to study electoral choice and the process leading up to electoral choice, then the propensity to vote for a party is to be preferred over thermometer or feeling scores, and over likes/dislikes scores.
Modeling the impact of polar mesocyclones on ocean circulation

[1] Subsynoptic polar mesoscale cyclones (or mesocyclones) are underrepresented in atmospheric reanalysis data sets and are subgrid scale processes in most models used for seasonal or climate forecasting. This lack of representation, particularly over the Nordic Seas, has a significant impact on modeled ocean circulation due to a consequent underestimation of atmospheric forcing at the air–sea boundary. Using Rankine vortices and a statistically significant linear relationship between mesocyclone diameter and maximum wind speed, a novel parameterization is developed that allows the bogusing in of missing or underrepresented vortices by exploiting a satellite-derived mesocyclone database. From October 1993 to September 1995, more than 2500 cyclones known to be missing from reanalysis data over the northeast Atlantic are parameterized into the forcing fields for a global ocean-only numerical modeling experiment. A comparison of this perturbed forcing simulation to a control simulation shows enhanced surface latent and sensible heat fluxes and a dramatic increase in the cyclonic rotation of the Nordic Seas gyre by four times the average interannual variability. In response to these changes, Greenland Sea Deep Water (GSDW) formation generally increases by up to 20% in 1 month, indicating more active open ocean convection. However such enhancements are smaller than the considerable monthly variability in GSDW production. An accompanying increase in the volume transport of intermediate and deep water overflowing the Denmark Strait highlights an important coupling between short-lived, intense atmospheric activity and deep ocean circulation. The parameterization scheme has the potential to be adapted for use in coupled climate models.
Scaling of nano-Schottky-diodes

A generally applicable model is presented to describe the potential barrier shape in ultrasmall Schottky diodes. It is shown that for diodes smaller than a characteristic length lc (associated with the semiconductor doping level) the conventional description no longer holds. For such small diodes the Schottky barrier thickness decreases with decreasing diode size. As a consequence, the resistance of the diode is strongly reduced, due to enhanced tunneling. Without the necessity of assuming a reduced (non-bulk) Schottky barrier height, this effect provides an explanation for several experimental observations of enhanced conduction in small Schottky diodes.
Mining Points of Interests with Popular Travel Patterns and Spatial Guidance from Social and Credible Sources

This work aims to utilize social and credible tourism content in order to develop a gazetteer of worth seeing points of interest (POIs) in a region along with mining most popular visit patterns of these POIs followed by experienced travelers. It proposes a new insight to frequent travel pattern mining by enriching these routes with spatial relations among the POIs to facilitate navigation.
Design of a Plant Leaf Area Meter Using PV Cell and Embedded Microcontroller

This paper presents the development of a solar cell based simple and practical leaf area meter. The system has a silicon solar module which is composed of 6 series connected cells, a light source, and a parabolic reflector with opal glass for diffusing the light. Partial shading effect on PV cell’s voltage and current are evaluated with different geometrical shapes for testing the performance of the model, and the resulting equations for voltage and current changes with respect to measured areas are obtained. The measured current has a good correlation: for regularly shaped leaves and for irregularly shaped ones. The resulting voltage and current measurements are then fed to an ARM Cortex M3 core 32-bit LM3S1968 microcontroller via a voltage and current measuring unit. The calculated leaf areas from the obtained area-current relations are shown on an OLED graphics display. The whole system is easy to use and user-friendly. The leaf area measurements are confirmed by comparing the results with measurements of grid counting method.
An evaluation of deuterium as a food source tracer in temperate streams of eastern Canada

Abstract Stable H isotope ratios (D/H, expressed as δD) hold promise as an additional tool for elucidating food sources for consumers in aquatic ecosystems. We tested the applicability of δD as a food source tracer in streams of New Brunswick, Canada. First, we analyzed δD and δ13C in biofilm and terrestrial leaves and compared signal-to-noise ratios (variability within sources vs variability between sources) between the 2 elements. Signal-to-noise ratios were roughly similar, and 23 of the 31 sites had isotopically distinct food sources based on δD compared to 20 of 31 based on δ13C. Second, we used mixing models to estimate % aquatic H and % aquatic C for benthic invertebrates at a subset of sites. Of 16 samples, only 1 had δ13C that was outside the range of the 2 food sources (yielding % aquatic C > 100%), but 12 of the 16 samples had δD outside the range of the food sources, a result suggesting confounding effects of water and lipids on total body H content. Last, we analyzed δD in laboratory-reared consumers (brook trout and water striders) and in their diet before and after lipid extraction to estimate diet–tissue fractionation. Large differences between consumer and diet were apparent before lipid extraction, but no significant differences were found after lipid extraction. All of these measures indicate that δD could serve as a complementary, but not alternative, isotopic method for estimating food sources for consumers in streams. Further laboratory trials are needed to explore the influence of lipids on δD values.
College of Computing and Information Sciences Title : Counting and Sampling Paths in Graphs

Since Euler began studying paths in graphs, graph theory has become an important branch of mathematics. With all of the research into graph theoretic problems, however, counting – exactly or approximately – the number of simple paths in finite graphs has been neglected. This thesis investigates an approximation technique known as Markov chain Monte Carlo (MCMC) for the specific purpose of approximating the number of simple paths in graphs. Due to the paucity of research into the subject, the thesis will make the conjecture that this cannot be done exactly in an efficient manner (assuming that the longstanding conjecture P 6= NP holds). To this end, the thesis focuses on the relationship between counting and sampling in both weighted and unweighted complete graphs, trees, and directed acyclic graphs (DAGs). This includes both positive and negative results for sampling, as well as demonstrating how counting and sampling are intimately related problems.
Characterisation of Building Interferometric Multiple Trac

In this paper a multiple view POL-InSAR approach for the analysis of urban areas is introduced: As a first step, a polarimetric classification scheme is applied that allows the identification of three basic scattering mechanisms: volume diffusion, double bounce and surface reflections. A relation between the interferometric phases of the Pauli polarization basis and the polarimetric scattering mechanisms is established. A method to estimate the phase corresponding to the surface is introduced. These phases are used to extract the height of buildings. Finally, the data is geocoded in order to synchronize images acquired from different positions. The proposed methods are applied to fully polarimetric and repeat pass interferometric data at Lband acquired by the DLR’s experimental E-SAR system on August 1st, 2000 over the city of Dresden in Germany. The flight tracks form a rectangle.
Feasibility of floating content service for context aware applications

Context aware applications encompass an ever-expanding set of applications that make use of a combination of restricted spatio-temporal locality and mobile communications to deliver a variety of services to the user. The communication requirements for such applications significantly differ from ordinary applications and opportunistic communications can play a role for such applications because they naturally incorporate context. In this work we chose to analyze the complex interplay between context information, communication technologies, and context aware applications, by studying the feasibility of a context aware communication service called floating content as a support for context aware mobile applications. In order to complement our performance study, we considered a specific context aware application belonging to family of ”social proximity sensing” which can be implemented via floating content. We analyzed the suitability of the floating content technique for such an application, and analyzed the main performance bounds at the communication level by means of simulations. The analysis revealed that floating content service can be used only for the applications that are used in areas having high user density.
Improved biological delignification of wood biomass via Ionic liquids pretreatment: A one step process

The enzymatic pretreatment of wood biomass for degrading lignin, a complex aromatic polymer, has received much attention as an environmentally safe or “green” process. However, this process for lignin degradation has been found to be very slow, even needed several months. To overcome this limitation, this study reports a new approach for enhanced enzymatic delignification of wood biomass using room temperature ionic liquids (RTILs)- a potentially attractive “green” and “designer” solvent- as (co)solvents or/and pretreated agents. The method comprised pretreatment of wood biomass prior to enzymatic delignification in ILs-aqueous systems with the aim of overcoming low delignification efficiency associated with the difficulties in enzyme accessibility to the solid substrate and the poor substrate and products solubility in aqueous system. The results showed that IL [emim] [OAc] (1-ethyl-3-methylimidazolium acetate) was better solvent for wood delignification than IL [bmim][Cl] (1-butyl-3-methylimidazolium chloride). The recovered cellulose rich materials obtained from combination effects of IL and biological pretreatment contained significantly lower amounts of lignin as compared to the amounts found when each method applied alone. The produced cellulose rich materials were characterized by acid hydrolysis, Fourier-transform infrared spectroscopy (FTIR), Scanning electron microscopy (SEM), and X-ray diffractometry (XRD). SEM and XRD revealed considerable microstructural and crystallinity index changes in the pretreated cellulose rich materials. We believe that this newly developed process will play a great role in converting cellulosic biomass- the most abundant renewable biomaterials in the world- to biomaterials, biopolymers, biofuels, bioplastics and hydrocarbons. Keywords: ionic liquids, wood biomass, cellulose, lignin, laccase, enzymatic delignification.
Automatic Detection of News Articles of Interest to Regional Communities

Summary In this paper, we devise an approach for identifying and classifying contents of interest related to geographic communities from news articles streams. We first conduct a short study on related works, and then present our approach, which consists in 1) filtering out contents irrelevant to communities and 2) classifying the remaining relevant news articles. Using a confidence threshold, the filtering and classification tasks can be performed in one pass using the weights learned by the same algorithm. We use Bayesian text classification, and because of important empiric class imbalance in Web-crawled corpora, we test several approaches: Naive Bayes, Complementary Naive Bayes, use of {1,2,3}-Grams, and use of oversampling. We find out in our testing experiment on Japanese prefectures that 3-gram CNB with oversampling is the most effective approach in terms of precision, while retaining acceptable training time and testing time.
Research and Development of High-speed Laser Scanning Galvanometer System

This study developed and controlled laser scanning mechanism and circuit design, in order to reduce the vibratory magnitude resulted from high-speed operation. The principle of mechanism design is that the output end mirror can swing within ± 3° when the laser scanning mechanism is in operation, the accuracy value is ± 0.2°. The static simulation and dynamic measurement were carried out for mutual validation. The vibration generated in the operation of machine causes dynamic unbalance, influencing the stability of machine. In order to overcome and improve the dynamic unbalance generated when the mechanism is in motion, different solutions were proposed, such as changing the output end mass, to add elastic material in or to change constant speed control of input end motor to variable speed control.
Relaxant effects of lippia microphylla cham. (Verbenaceae) on isolated rat aorta and trachea

Lippia microphylla is known as “alecrim-pimenta” and has been used to treat respiratory disease in Northeast Brazil. Thus, we decide to investigate whether the crude ethanol extract from aerial parts of L. microphylla (LM-EtOH) induces relaxant effects on the rat aorta and trachea. LM-EtOH (3 243 μg/mL) relaxed in a concentration-dependent and equipotent manner the aorta pre-contracted with either phenylephrine (EC50= 52.1±0.3 μg/mL) or KCl (EC50=70.7±12.4 μg/mL). It also relaxed the trachea pre-contracted (n=3) with either carbachol (EC50= 53.6±7.8 μg/mL) or KCl (EC50= 28.5±1.0 μg/mL). The observation that LM-EtOH relaxed both organs pre-contracted by agonists (phenylephrine and carbachol) is suggestive that Lippia microphylla is an unspecified smooth muscle relaxant. In addition, the extract induced relaxation of both organs contracted by KCl is indicative of Ca influx blockade. Conclusions, the aerial parts of Lippia microphylla have smooth muscle relaxant properties supporting its use in folk medicine against respiratory disease.
Generating Human Images and Ground Truth using Computer Graphics

How to provide high quality data for computer vision is a challenge. Researchers spent a lot of eﬀort creating image datasets with more images and more detailed annotation. Computer graphics (CG) is a way of creating synthetic images, during the image synthesis many types of information of the CG scene can be exported as ground truth annotation. In this paper, we develop a pipeline to synthesize realistic human images and automatically generate detailed annotation at the same time. We use 2D annotation to control the pose of the CG human model, which enables our images to contain more poses than motion capture based method. The synthetic images are used to train and evaluate human pose estimation algorithm to show its usefulness.