Miracle-dz/UniFAR-FTUs huggingface dataset:
Fuzzy distributed cooperative tracking for a swarm of unmanned aerial vehicles with heterogeneous goals

ABSTRACT This article proposes a systematic analysis for a tracking problem which ensures cooperation amongst a swarm of unmanned aerial vehicles (UAVs), modelled as nonlinear systems with linear and angular velocity constraints, in order to achieve different goals. A distributed Takagi–Sugeno (TS) framework design is adopted for the representation of the nonlinear model of the dynamics of the UAVs. The distributed control law which is introduced is composed of both node and network level information. Firstly, feedback gains are synthesised using a parallel distributed compensation (PDC) control law structure, for a collection of isolated UAVs; ignoring communications among the swarm. Then secondly, based on an alternation-like procedure, the resulting feedback gains are used to determine Lyapunov matrices which are utilised at network level to incorporate into the control law, the relative differences in the states of the vehicles, and to induce cooperative behaviour. Eventually stability is guaranteed for the entire swarm. The control synthesis is performed using tools from linear control theory: in particular the design criteria are posed as linear matrix inequalities (LMIs). An example based on a UAV tracking scenario is included to outline the efficacy of the approach.
Integrated Disease Surveillance to Reduce Data Fragmentation – An Application to Malaria Control

The lack of access to timely health indicators can preclude the design and the effective implementation of infectious diseases control interventions. Our project aims to foster the integration of existing surveillance data to support evidence-based decision-making in malaria. The cornerstone of our approach is the use of a common knowledge platform to scale-up and extend structural and semantic mapping across existing data sources to other geographical regions and global health priority diseases. Upon completion of our project, we will have designed an open-access prototype system capable of sharing comparable surveillance data within and across countries
Theophylline as an adjunct to control malignant ventricular arrhythmia associated with early repolarization

Early repolarization (ER) has been associated with an increased risk of sudden cardiac arrest. Interestingly, ventricular arrhythmias seem to be triggered by parasympathetic stimulation. In the present case report, we describe complete control of highly frequent malignant ventricular arrhythmias after adding theophylline to ineffective oral hydroquinidine and high‐rate pacing in a patient suffering from malignant ER. We hypothesize that the theophylline‐mediated enhanced beta‐adrenergic stimulation could reduce the transmural myocardial voltage discrepancy by increasing the inward ICa,L current.
Insulators Recognition for 220kv/330kv High-voltage Live-line Cleaning Robot

This paper approaches the problem of recognizing and localizing insulators with curved smooth and weak textured surfaces in a cluttered scene for the 220kv/330kv high-voltage live-line cleaning robot (HLCR). In this work we introduce SUSAN edge-based scale invariant feature (SESIF) to describe insulators, which is robust to noise, cluttered scene, changes on viewpoint and illumination. A coarse-to-fine method is applied to recognize and localize insulators using SESIF. Firstly, a coarse location is estimated with general Hough transform and RANSAC method. Secondly, an accurate location of insulator is found with an edge-based tracker. Results are demonstrated for a 220kv insulator in a cluttered scene
The Story of an African Farm

Two cousins grow up in the 1860s on a lonely farm in the thirsty mountain veld. Em is fat, sweet and contented, a born housewife; Lyndall, clever, restless, beautiful.and doomed. Their childhood is disrupted by a bombastic Irishman, Bonaparte Blenkins, who gains uncanny influence over the girls' gross, stupid stepmother.This novel is one of the most astonishing, least-expected fiction masterpieces of its time and one that has had an enduring influence.
Differences between Two Tight ADP Binding Sites of the Chloroplast Coupling Factor 1 and Their Effects on ATPase Activity*

Purified chloroplast ATP synthase (CF1) contains 1.2-2 mol of tightly bound ADP/mol of enzyme that resists removal by gel filtration or dialysis. CF1 was depleted of its endogenous nucleotide by treatment with alkaline phosphatase. Tightly bound nucleotide was demonstrated not to have an essential structural role. CF1 depleted of endogenous nucleotide retains its ability to catalyze Ca2+- and Mg2+-dependent ATPase activity and is not more sensitive to cold inactivation than untreated CF1. 2′(3′)-O-Trinitrophenyladenosine 5′-diphosphate (TNP-ADP) binds tightly to two sites on nucleotide-depleted CF1, binding to either site at a faster rate than that of exchange of bound nucleotide for medium nucleotide. The nucleotide-depleted enzyme binds about one additional mol of TNP-ADP/mol of CF1, indicating that there is a tight TNP-ADP binding site that does not exchange readily with medium nucleotide. It is MgADP in this nonexchanging site, not the easily exchanging ADP binding site, that is responsible for the MgADP-induced inhibition of the ATPase activity. The rate of exchange of tightly bound ADP from CF1 matches the rate at which the Mg2+ATPase activity of CF1 is activated but is not itself responsible for the activation.
High Spatial Resolution in  $\beta$-Imaging With a PIM Device

The autoradiography is an imaging technique able to locate in 2 dimensions molecules labeled with beta radioactive emitters. The usual technique in use is based on solid device, mostly films or phosphor screens. We report on tests performed with PIM (parallel ionization multiplier) on microscope slides demonstrating that MPGD (micro pattern gas detector) incorporating micromegas micro-meshes have to be considered for a next generation of beta-imager. The main advantages come from the high spatial resolution measured (25 mum FWHM in two dimensions) and from the event by event reconstruction position measurement resulting in ldquoon-linerdquo imaging availability in which no ldquoafter developmentrdquo have to be performed.
Experimental Analysis of Soft Vacuum Cups for Automated Mushroom Picking

In this paper, the use of soft suction cups for automated mushroom picking is studied. The aim is to identify the vacuum level that starts to cause bruising for mushroom cups, in addition to the maximum torque that can be generated at this value to facilitate harvesting via twisting mushrooms. An experimental setup was developed that controls vacuum level, controls rotation of the vacuum gripper, and records resulting torque during picking.
Credit migration and basket derivatives pricing with copulas

The multivariate modeling of default risk is a crucial aspect of the pricing of credit derivative products referencing a portfolio of underlying assets, and the evaluation of Value at Risk of such portfolios. This paper proposes a model for the joint dynamics of credit ratings of several firms. Namely, individual credit ratings are modeled by univariate continuous time Markov chain, while their joint dynamic is modeled using copulas. A by-product of the method is the joint laws of the default times of all the firms in the portfolio. The use of copulas allows us to incorporate our knowledge of the modeling of univariate processes, into a multivariate framework. The Normal and Student copulas commonly used in the literature as well as by practitioners do not produce very different estimates of default risk prices. We show that this result is restricted to these two two basic copulas. That is, for any other family of copula, the choice of the copula greatly affects the pricing of default risk.
El consumo de los hogares colombianos, 2006-2007: estimación de sistemas de demanda

Using household data from the 2006 Income and Expenditure survey, we providea new estimation of demand systems for Colombia. We estimate three differentspecifications of demand systems, namely, the Linear Expenditure System(LES), the Extended Linear Expenditure System (ELES) and the Almost IdealDemand System (AIDS). We also calculate expenditure, income and price elasticitiesfor different groups of goods. We find that the expenditure elasticity offood has remained stable over time, around 0.77. Clothing is no longer a luxurygood and has become a good with unitary expenditure elasticity. Health and Educationare still luxury goods but their expenditure elasticities have decreasedover time. **Utilizando datos a nivel de hogares de la Encuesta de Ingresos y Gastos 2006-2007,presentamos nuevas estimaciones de sistemas de demanda para Colombia.Estimamos tres diferentes especificaciones de sistemas de demanda, a saber, elSistema Lineal de Gastos (LES), el Sistema Lineal de Gastos Extendido (ELES) yel Sistema Cuasi-Ideal de Demanda (AIDS). Tambien calculamos valores de elasticidadesgasto, ingreso y precio para diferentes grupos de bienes. Encontramosque la elasticidad gasto de los alimentos se ha mantenido estable a traves deltiempo alrededor de 0.77. Por su parte, el vestuario ha dejado de ser un de biende lujo para volverse un bien de elasticidad gasto unitaria. Finalmente, la saludy la educacion siguen siendo bienes de lujo, pero sus elasticidades gasto hancaido a traves del tiempo.
Speciation in Brazilian Atlantic Forest Mosquitoes: A Mini-Review of the Anopheles cruzii Species Complex

Anopheles (Kerteszia) cruzii s.l. (Diptera: Culicidae) has long been known as the primary vector of human and simian malaria parasites in southern and southeastern Brazil (Deane et al., 1970; 1971; Rachou, 1958). Between 1930 and 1960, An. cruzii together with Anopheles (Kerteszia) bellator and Anopheles (Kerteszia) homunculus were considered the main vectors of malaria once endemic in southern Brazil. Vector control has reduced or even interrupted malaria transmission in some areas, but An. cruzii is still responsible for several oligosymptomatic malaria cases in southern and southeastern Brazil. This mosquito is also a vector of simian malaria in Rio de Janeiro and Sao Paulo States (Deane et al., 1970). Studies on seasonal and vertical distribution of An. cruzii demonstrated high vertical mobility from ground level to tree tops and this behavior could be responsible for human infection by simian Plasmodium species (Deane et al., 1984; Marrelli et al., 2007; Ueno et al., 2007).
Wavelet-based compression of HRR radar data for moving targets

Automatic recognition of moving targets has been a topic of much recent interest. In particular researchers have been considering the exploitation of Doppler-related features resulting from moving tracks, wheels, etc., to improve performance. In developing and testing such algorithms, data with three or more dimensions are often used resulting in very large data sets. We describe a system for compressing radar data sets with the dimensions of range, Doppler, and azimuth. Our approach employs smooth localized exponentials to model the scattering returns. A best-basis approach is employed to find an optimal wavelet transformation, and the resulting coefficients are entropy coded. We present results showing the effectiveness of our approach and compare to a more conventional Fourier-based technique.
On the Binary Input Gaussian Wiretap Channel with/without Output Quantization

In this paper, we investigate the effect of output quantization on the secrecy capacity of the binary-input Gaussian wiretap channel. As a result, a closed-form expression with infinite summation terms of the secrecy capacity of the binary-input Gaussian wiretap channel is derived for the case when both the legitimate receiver and the eavesdropper have unquantized outputs. In particular, computable tight upper and lower bounds on the secrecy capacity are obtained. Theoretically, we prove that when the legitimate receiver has unquantized outputs while the eavesdropper has binary quantized outputs, the secrecy capacity is larger than that when both the legitimate receiver and the eavesdropper have unquantized outputs or both have binary quantized outputs. Further, numerical results show that in the low signal-to-noise ratio (SNR) (of the main channel) region, the secrecy capacity of the binary input Gaussian wiretap channel when both the legitimate receiver and the eavesdropper have unquantized outputs is larger than the capacity when both the legitimate receiver and the eavesdropper have binary quantized outputs; as the SNR increases, the secrecy capacity when both the legitimate receiver and the eavesdropper have binary quantized outputs tends to overtake.
A semantic query expansion-based patent retrieval approach

Since patent documents are important technical resources, effective patent retrieval has become more and more crucial. Unlike common information retrieval, patent retrieval is a recall-oriented retrieval, and patent query inputs are usually long. However, current patent retrieval approaches cannot effectively capture user query intents and obtain good expansion terms, which lead to low retrieval effectiveness. To address this issue, this paper proposes a novel semantic query expansion-based patent retrieval approach according to patent-specific characteristics. Firstly, patent domain features are extracted by using a domain-dependent term frequency scheme. Based on domain features, query inputs are analyzed to determine query domains. Furthermore, query domain matching is employed to generate candidate expansion terms, and semantic-based similarity computation is adopted to select expansion terms. Experiment results show that our approach achieves better retrieval performance than other state-of-art approaches.
Plan Optimization for Creating Bilingual Dictionaries of Low-Resource Languages

The constraint-based approach has been proven useful for inducing bilingual lexicons for closely-related low-resource languages. When we want to create multiple bilingual dictionaries linking several languages, we need to consider manual creation by bilingual language experts if there are no available machine-readable dictionaries are available as input. To overcome the difficulty in planning the creation of bilingual dictionaries, the consideration of various methods and costs, plan optimization is essential. We adopt the Markov Decision Process (MDP) in formalizing plan optimization for creating bilingual dictionaries; the goal is to better predict the most feasible optimal plan with the least total cost before fully implementing the constraint-based bilingual dictionary induction framework. We define heuristics based on input language characteristics to devise a baseline plan for evaluating our MDP-based approach with total cost as an evaluation metric. The MDP-based proposal outperformed heuristic planning on total cost for all datasets examined.
A Novel No-Reference PSNR Estimation Method With Regard to Deblocking Filtering Effect in H.264/AVC Bitstreams

Peak signal-to-noise ratio (PSNR) monitoring is an important application for video quality assessment of video systems at the receiver sides where no-reference PSNR estimation is essential. Most of the PSNR estimation methods for H.264/AVC bitstreams ignore or do not consider the effect of deblocking filtering. Instead, they only focus on estimating the mean squared error (MSE) due to quantization. However, the PSNR estimation affected by deblocking filtering cannot be negligible for sequences of large picture resolutions. In this paper, we first present an MSE estimation method on H.264/AVC bitstreams by considering the deblocking filtering effect so that more accurate PSNR estimation can be made. For this, the total MSE between the original and reconstructed frames is separated into two terms for PSNR estimation: one due to quantization error and the other due to the deblocking filtering effect in H.264/AVC. In the proposed PSNR estimation, the contribution of deblocking filtering to the total MSE is quantified by a compensation factor of each encoded picture type between the original and the deblocked frames. Experimental results show that the proposed method effectively reflects the contribution of deblocking filtering to PSNR estimation, thus yielding more accurate PSNR estimates.
Mining Twitter features for event summarization and rating

We present CEST, a generic method for detection and rich summarization of events occurring in a city. CEST exploits Twitter metadata, does not need prior information on events, and is event category and structure agnostic. We developed CEST to process unstructured documents and take advantage of shorthand notations, hashtags, keywords, geographical and temporal data, as well as sentiment within tweets to both detect and summarize arbitrary events without prior knowledge. We also introduce a novel strategy that analyzes sentiment and tweeting behavior over time to create a qualitative score that captures events' overall appeal to attendees.
Dynamic sample size detection in continuous authentication using sequential sampling

Continuous Authentication (CA) departs from the traditional static authentication scheme by requiring the authentication process to occur multiple times throughout the entire logon session. One of the main objectives of the CA process is to detect session hijacking. An important requirement about designing or operating a CA system is the need to achieve the quickest detection while maintaining rates of missed and false detections to predetermined levels. We introduce in this paper a new approach for detection based on the sequential sampling theory that allows balancing appropriately between detection promptness and accuracy in CA systems. We study and illustrate the proposed approach using an existing mouse dynamics biometrics recognition model and corresponding sample experimental data.
Some stylet cercariae and a microphallid type in British freshwater molluscs

Cercaria helvetica XXXIII Dubois and the cercaria of Sphaerostoma bramae (Müll.) are redescribed and their metacercariae, which occur in various invertebrates, are described. Additional observations are made on C. parvus Khan and C. tarda Khan and their metacercariae, occurring mainly in arthropods, are described. C. wentloogensis sp.nov. has four pairs of penetration glands, a slender, thickened stylet 0·03 mm long and the flame-cell formula 2[(2 + 2 + 2) + (2 + 2 + 2)]. C. rumniensis sp.nov. has four pairs of penetration glands lying dorsally to the acetabulum, a slender thickened stylet 0·03 mm long and at least 20 flame cells arranged in pairs. C. octoglandulata sp.nov. is a virgulate species with four pairs of penetration glands, a partially thickened stylet 0·029–0·032 mm long and the flame-cell formula 2[(3 + 3 + 3) + (3 + 3 + 3)]. Each of these new species develops in sporocysts in the digestive gland of the prosobranch mollusc Bithynia tentaculata. A cercaria occurring in the digestive gland of B. tentaculata and assigned to the Microphallidae on the structure of its metacercaria is considered to encyst in the digestive gland without emerging. It bears no stylet or penetration glands and the cysts occur in the snail in exceedingly large numbers. All of these cercariae were found in freshwater molluscs collected at the Wentloog level near Cardiff, South Wales.
COMPARATIVE EVOLUTIONARY ANALYSIS OF METABOLISM IN NINE DROSOPHILA SPECIES

To attain balanced and efficient metabolism, the genes encoding enzymes involved in intermediary metabolism must be coordinately regulated. Gross misregulation of these genes can result in deleterious metabolic imbalances, as seen in transgenic laboratory organisms with altered gene dosage. By quantifying the expression of enzymes in nine related species of Drosophila, we hoped to see patterns of coordinated changes that could be related to evolutionary constraints on regulation. The storage pools of triacylglycerols and glycogen were measured, and the activities of 12 enzymes in intermediary metabolism were also quantified. When these phenotypes were placed on the phylogeny of the Drosophila species, quantitative cladistic hypotheses could be tested. The method of independent phylogenetic contrasts provides a formal statistical test of the null hypothesis that phenotypic changes of pairs of characters on a phylogenetic tree are independent. For example, G6PD and 6PGD exhibited a wide range of activity variation among species, and interspecific comparisons suggested significant coregulation. Significant coordinated changes among clades of the Drosophila phylogeny were also seen for 6PGD‐malic enzyme, glycogen synthase–fatty acid synthase, G6PD‐GPDH, and 6PGD‐glycogen synthase, which in most cases exhibited positive intraspecific genetic correlation. This was to be contrasted with the relation between fatty‐acid synthesis and fat storage, which exhibits a strong positive correlation within D. melanogaster but no significant interspecific correlation. Limitations of inferring evolutionary constraints by contrasting intraspecific phenotypic variation to interspecific divergence are briefly discussed.
Reconstruction of two-dimensional axisymmetric inhomogeneous media

The author has used transverse electric measurements on the symmetry axis of an axisymmetric inhomogeneous medium to reconstruct its two-dimensional complex permittivity distribution. The distorted Born iterative method is applied to solve the nonlinear inversion problem, and the numerical mode-matching method is used to solve the forward problem in each iteration. It is shown through numerical examples that good imaging results can be obtained by using very simple measurements on the axis of symmetry. >
Comedy and the Rise of Rome

1. Introduction 2. Plautus and Hannibal 3. The Captivi and the Paradoxes of Postliminium 4. City, Land, and Sea: New Comedy and the Discourse of Economies 5. Fatherhood and the Habit of Command: L. Aemilius Plautus and the Adelphoe
Monitoring negative opinion about vaccines from tweets analysis

In this paper, we present an approach to monitor the Italian public opinion from tweets analysis, with reference to the vaccination topic. This topic has recently become controversial, due to the disinformation about the alleged connection between autism and vaccines. Further, the Italian Ministry of Health has noticed a drop in vaccination rates, enhancing the risk of reemergence of eradicated diseases. Thus, a system to monitor the negative public opinion about vaccines could become very important for decision making. The proposed approach i) fetches vaccine-related tweets, ii) applies a text elaboration on the tweets, and iii) performs a binary classification aimed at discriminating negative opinions tweets (i.e., not in favor of vaccination) from the rest of tweets. By employing the Simple Logistic classifier, we achieved a 75.5% average accuracy. Finally, we monitor the trend over time of public opinion about vaccination decision making in a free, real-time and quick fashion.