Miracle-dz/UniFAR-FTUs huggingface dataset:
Image Segmentation Based Face Recognition Using Enhanced SPCA-KNN Method

In this paper we tend to propose a completely unique technique for face recognition mistreatment hybrid ESPCA-KNN (SIFT-PCAKNN) approach. The projected technique consists of 3 components. The primary half is predicated on pre-processing face pictures mistreatment Graph primarily based formula and SIFT (Scale Invariant Feature Transform) descriptor. Graph primarily based topology is employed for matching two o face pictures. Within the second half Manfred Eigen values and Manfred Eigen vectors are extracted from every input face pictures. The goal is to extract the vital info from the face information, to represent it as a collection of recent orthogonal variables referred to as principal elements. Within the final half a nearest neighbour classifier is intended for classifying the face pictures supported the ESPCA-KNN formula. The formula has been tested on one hundred totally different subjects (15 pictures for every class). The experimental result shows that the projected technique incorporates a positive result on overall face recognition performance and outperforms different examined strategies. Keywords-Image segmentation, face recognition, PCA, KNN, ESPCA-KNN.
The nature of individual choice: a formalism for utility function based on set theory

In the theory of social choice the research is focused around the projection of individual preference orders to the social preference order. Also, the justification of the preference order formalism begins with the concept of utility i.e. an alternative is preferred to another one if the utility over the first is higher then the utility over the second. In this paper is proposed an ideal model of measuring utilities by considering individuals and alternatives no more as atomic concepts but as being composed by other entities. Furthermore is proposed a formal definition of evaluation processes based on utilities.
Neurogenesis in Aplysia californica resembles nervous system formation in vertebrates

The pattern of neurogenesis of the central nervous system of Aplysia californica was investigated by [3H]thymidine autoradiography. Large numbers of animals at a series of early developmental stages were labeled with [3H]thymidine for 24 or 48 hr and were subsequently sampled at specific intervals throughout the life cycle. I found that proliferative zones, consisting of columnar and placodal ectodermal cells, are established in regions of the body wall adjacent to underlying mesodermal cells. Mitosis in the proliferative zones generates a population of cells which leave the surface and migrate inward to join the nearby forming ganglia. Tracing specific [3H]thymidine-labeled cells from the body wall to a particular ganglion and within the ganglion over time suggests that the final genomic replication of the neuronal precursors occurs before the cells join the ganglion while glial cell precursors and differentiating glial cells continue to divide within the ganglion for some time. Ultrastructural examination of the morphological features of the few mitosing cells observed within the Aplysia central nervous system supports this interpretation. The pattern of neurogenesis in the Aplysia central nervous system resembles the proliferation of cells in the neural tube and the migration of neural crest and ectodermal placode cells in the vertebrate nervous system but differs from the pattern described for other invertebrates.
Nonsingular multidimensional cosmologies without fine tuning

Exact cosmological solutions for efiective actions in D dimensions inspired by the tree-level superstring action are studied. For a certain range of free parameters existing in the model, nonsingular bouncing solutions are found. Among them, of particular interest can be open hyperbolic models, in which, without any flne tuning, the internal scale factor and the dilaton fleld (connected with string coupling in string theories) tend to constant values at late times. A cosmological singularity is avoided due to nonminimal dilaton- gravity coupling and, for D > 11, due to pure imaginary nature of the dilaton, which conforms to currently discussed uniflcation models. The existence of such and similar solutions supports the opinion that the Universe had never undergone a stage driven by full-scale quantum gravity.
Accelerating the Switchgrass (Panicum virgatum L.) Breeding Cycle Using Genomic Selection Approaches

Switchgrass (Panicum virgatum L.) is a perennial grass undergoing development as a biofuel feedstock. One of the most important factors hindering breeding efforts in this species is the need for accurate measurement of biomass yield on a per-hectare basis. Genomic selection on simple-to-measure traits that approximate biomass yield has the potential to significantly speed up the breeding cycle. Recent advances in switchgrass genomic and phenotypic resources are now making it possible to evaluate the potential of genomic selection of such traits. We leveraged these resources to study the ability of three widely-used genomic selection models to predict phenotypic values of morphological and biomass quality traits in an association panel consisting of predominantly northern adapted upland germplasm. High prediction accuracies were obtained for most of the traits, with standability having the highest ten-fold cross validation prediction accuracy (0.52). Moreover, the morphological traits generally had higher prediction accuracies than the biomass quality traits. Nevertheless, our results suggest that the quality of current genomic and phenotypic resources available for switchgrass is sufficiently high for genomic selection to significantly impact breeding efforts for biomass yield.
Coronary Artery Disease : Myocardial Perfusion MR Imaging with Sensitivity Encoding versus Conventional Angiography 1

1 From the BHF Cardiac Magnetic Resonance Unit (S.P., D.B., J.P.G., M.U.S.) and Department of Medical Physics (A.R., J.P.R.), the General Infirmary at Leeds, Room 170, D-floor, Jubilee Bldg, Great George St, Leeds LS1 3EX, England; and Institute of Cardiovascular Research, University of Leeds, Leeds, England (S.G.B.). Received March 9, 2004; revision requested May 20; revision received June 24; accepted July 27. S.P. supported by British Heart Foundation. Address correspondence to S.P. (e-mail: sven.plein @leedsth.nhs.uk).
Human malaria: Segregation analysis of blood infection levels in a suburban area and a rural area in Burkina Faso

The genetic control of blood infection levels in human malaria remains unclear. Case control studies have not demonstrated a strong association between candidate genes and blood parasite densities as opposed to surveys that have focused on severe malaria. As an alternative approach, we used segregation analyses to determine the genetic control of blood parasitemia. We surveyed 509 residents (53 pedigrees) in a rural area and 389 residents (41 pedigrees) in an urban area during 18 months. Each family was visited 20 times and 28 times in the urban area and in the rural area; the mean number of parasitemia measurements per subject was 12.1 in the town and 14.9 in the village. The intensity of transmission of Plasmodium falciparum was 8‐fold higher in the rural area than in the urban area. Using the class D regressive model for both populations, we found that blood parasite densities were correlated between sibs. We obtained strong evidence for a major effect, but we found that the transmission of this major effect was not compatible with a simple Mendelian model, suggesting a more complex mode of inheritance. Moreover, there was a strong interaction between major effect and age, suggesting that the influence of the putative major gene may be more prominent in children than in adults. Further nonparametric linkage studies, such as sib pair analysis, that focus on children would help us better understand the genetic control of blood infection levels. Genet. Epidemiol. 15:435–450,1998. © 1998 Wiley‐Liss, Inc.
A Mobile Agent-based Multi-Robot Design Method for High-Assurance

During the past several years, the area of robot service and multi-robot has grown rapidly. Since this area is a fusion industry consisting of multiple disciplines, it is lack of research on structured methodologies for robot design, especially multi-robot design which has been attracting more and more attention these days. Motivated by such a need, the study presented in this paper proposes a mobile agent-based multi-robot design method that is capable of securing system reliability and safety, such as fault- tolerance which is an important metric of interest in this field.
A novel wireless electrical muscle simulator for female urinary incontinence

Urinary Incontinence (UI) is one of the most acknowledged diseases that affected human health, and more than 1/5 females in this world suffer from this disease. In this paper, we present a novel electrical muscle simulator for the urinary incontinence, which adopted the wireless communication technique. The equipment is composed of a controller and an electrode pole. The electrode is inserted in female vagina or anus, and is controlled by the controller to generate some types of electrical pulses to produce appropriate stimulation. The application of wireless control on the stimulator makes it possible for the patient to do the exercise and therapy by themselves and their activity not to be restricted. Moreover, it avoids the mental obstacles ashamed for therapy in the hospital. We made the stimulator and the results showed that the equipment can work effectively that the stimulation can have the muscle be treated in desirable mode with good accuracy.
Aesthetic Perspectives on Participatory Design in the interLiving Project

The interLiving project is an attempt to let families themselves influence and shape the design of communication technologies they will use. Families, and the individuals within them, represent a new user group for the researchers in interLiving. We are experimenting with different methods, to see which can be used successfully and which work less well. Aesthetics are very important to the families in our study, probably more so at home than in the workplace. The things in your home or the stuff you wear is used more to reveal your choices, tastes, desired identity, etc. We believe that it is important to take aesthetic considerations into account early in the research. But since this field is rather new we would like to discuss in what ways this could best be achieved.
Fine Tuning of Tissues' Viscosity and Surface Tension through Contractility Suggests a New Role for α-Catenin

What governs tissue organization and movement? If molecular and genetic approaches are able to give some answers on these issues, more and more works are now giving a real importance to mechanics as a key component eventually triggering further signaling events. We chose embryonic cell aggregates as model systems for tissue organization and movement in order to investigate the origin of some mechanical constraints arising from cells organization. Steinberg et al. proposed a long time ago an analogy between liquids and tissues and showed that indeed tissues possess a measurable tissue surface tension and viscosity. We question here the molecular origin of these parameters and give a quantitative measurement of adhesion versus contractility in the framework of the differential interfacial tension hypothesis. Accompanying surface tension measurements by angle measurements (at vertexes of cell-cell contacts) at the cell/medium interface, we are able to extract the full parameters of this model: cortical tensions and adhesion energy. We show that a tunable surface tension and viscosity can be achieved easily through the control of cell-cell contractility compared to cell-medium one. Moreover we show that -catenin is crucial for this regulation to occur: these molecules appear as a catalyser for the remodeling of the actin cytoskeleton underneath cell-cell contact, enabling a differential contractility between the cell-medium and cell-cell interface to take place.
Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh

Relationships between yearly malaria incidence and (1) climate data from weather station and (2) satellite-based vegetation health (VH) indices were investigated for prediction of malaria vector activities in Bangladesh. Correlation analysis of percent of malaria cases with Advanced Very High Resolution Radiometer- (AVHRR-) based VH indices represented by the vegetation condition index (VCI—moisture condition) and the temperature condition index (TCI—estimates thermal condition) and with rainfall, relative humidity, and temperature from ground-based meteorological stations. Results show that climate data from weather stations are poorly correlated and are not applicable to estimate prevalence in Bangladesh. The study also has shown that AVHRR-based vegetation health (VH) indices are highly applicable for malaria trend assessment and also for the estimation of the total number of malaria cases in Bangladesh for the period of 1992–2001.
Learning "Generalization/Specialization" Relations between Concepts - Application for Automatically Building Thematic Document Hierarchies

We introduce a new method for automatically constructing concept hierarchies where the concept nodes follow a generalization / specialization relation. Starting from a set of concepts automatically extracted from a corpus, we show how to learn generalization / specialization relations between couples of concepts and how this leads to the construction of the hierarchy. We present an application of this method for building thematic document hierarchies similar in spirit to those found on internet portals. We also introduce new criteria for evaluating the quality of such hierarchies and for comparing them. We finally describe a series of tests performed on document collections coming from LookSmart and NewScientist hierarchies.
The cranial endocast of Dipnorhynchus sussmilchi (Sarcopterygii: Dipnoi) and the interrelationships of stem-group lungfishes

The first virtual cranial endocast of a lungfish from the Early Devonian, Dipnorhynchus sussmilchi, is described. Dipnorhynchus, only the fourth Devonian lungfish for which a near complete cranial endocast is known, is a key taxon for clarifying primitive character states within the group. A ventrally-expanded telencephalic cavity is present in the endocast of Dipnorhynchus demonstrating that this is the primitive state for “true” Dipnoi. Dipnorhynchus also possesses a utricular recess differentiated from the sacculolagenar pouch like that seen in stratigraphically younger lungfish (Dipterus, Chirodipterus, Rhinodipterus), but absent from the dipnomorph Youngolepis. We do not find separate pineal and para-pineal canals in contrast to a reconstruction from previous authors. We conduct the first phylogenetic analysis of Dipnoi based purely on endocast characters, which supports a basal placement of Dipnorhynchus within the dipnoan stem group, in agreement with recent analyses. Our analysis demonstrates the value of endocast characters for inferring phylogenetic relationships.
Control of a mobile sensor for multi-target tracking using multi-target/object Multi-Bernoulli filter

In multi-object stochastic systems, the issue of sensor control is a theoretically and computationally challenging problem. In this paper, we present a novel random finite set (RFS) approach to the multi-target sensor management problem. Our approach is based on a partially observed Markov decision process (POMDP) where the reward function is a measure of information gain. The multi-target state is modelled as Multi-Bernoulli RFS, and the Multi-Bernoulli filter is used in conjunction with two different reward functions: maximizing the expected Rényi divergence between the predicted and updated densities, and minimizing the expected cardinality variance. Numerical studies and discussions are presented with range only measurements.
Tax Evasion and the Source of Income

This discussion paper resulted in a publication in the (2006). Volume 27, issue 3, pages 402-422. A series of experiments in Albania and the Netherlands give us the opportunity to compare behavioral patterns related to tax evasion. Subjects have to decide between a random 'registered' income, the realization of which will be known to the experimenter for sure, and a random 'unregistered' income that will only be known to the experimenter with some (audit) probability. After the actual income has been determined, subjects have to report it and pay taxes accordingly. If they are audited, there is a fine for underreporting. This experiment was organized (separately) among high school pupils, high school teachers, university students, university teachers and university (non-academic) staff, in Albania and the Netherlands. The results show that (i) when tax evasion is possible, subject choose unregistered income more frequently; (ii) many subjects are willing to choose an income that allows for tax evasion but report their income honestly anyway; (iii) compliance increases with the audit probability; (iv) individual decisions to choose a type of income (registered vs. unregistered) and to evade taxes are made simultaneously; (v) Albanians evade taxes less than the Dutch do; (vi) pupils and students evade taxes more than teachers and personnel do; (vii) the differences across groups within a country are at least as large as the differences between the two countries. Finally, we argue that the distinct levels of tax evasion outside of the laboratory in the two countries are not attributable to different tax attitudes or cultures, but to different tax institutions and the way individuals have learned to deal with them.
NoCs Design for Verification

To deploy high performance computing on a chip requires to place the number of the processors in networks on chip (NoC). To fulfill growing market demands number of processors and other IPs on a chip is also increases. Because of that general purpose bus is not efficient to provide communication between IPs and on a chip. In the article there are presented variety of NoC communication architectures and verification approaches on the basis of the hardware assertions. There are proposed design for verification approach, that will allow to use distributed with IP verification routines to ease system level validation. Ill. 10, bibl. 10 (in English; summaries in English, Russian and Lithuanian).
Hierarchical Convex Optimization With Primal-Dual Splitting

This paper addresses the selection of a desirable solution among all the solutions of a convex optimization problem (referred to as the first-stage problem) mainly for inverse problems in signal processing. This is realized in the framework of hierarchical convex optimization, i.e., minimizing another convex function over the solution set of the first-stage problem. Hierarchical convex optimization is an ideal strategy when the first-stage problem has infinitely many solutions because of the non-strict convexity of its objective function, which could arise in various scenarios, e.g., convex feasibility problems. To this end, first, the fixed point set characterization behind a primal-dual splitting type method is incorporated into the framework of hierarchical convex optimization, which enables the framework to cover a broad class of first-stage problem formulations. Then, a pair of efficient algorithmic solutions to the hierarchical convex optimization problem, as certain realizations of the hybrid steepest descent method, are provided with guaranteed convergence. We also present a specialized form of the proposed framework to focus on a typical scenario of inverse problems, and show its application to signal interpolation.
Enforcing Privacy in Decentralized Mobile Social Networks

This position paper first summarizes work done by the first author on location privacy and differential privacy. These techniques will help to solve privacy problems in decentralized mobile social networks, which is the main theme of his PhD research. The paper then briefly reviews the state-of-the-art in privacy-preservation of social graphs and clarifies the lack of attention to graph sharing in decentralized setting. Finally, some initial ideas on how to realize such soft decentralized access controls are described.
What's New in the Linux Network Stack?

In this paper, interesting features of the Linux kernel’s network stack are analyzed, which were introduced during the development cycles from Linux v3.7 to Linux v3.16. Special attention is given to the low-latency device polling, introduced in Linux v3.11, the netfilter’s SYNPROXY target, introduced in Linux v3.12 and the new Nftables framework, introduced in Linux v3.13. At the end a trend is presented, which shows the direction in which the Linux network stack is evolving.
Automatic Rhythmic Performance in Max/MSP: the kin.rhythmicator

introduce a novel algorithm for automatically generating rhythms in real time in a certain meter. The generated rhythms are "generic" in the sense that they are characteristic of each time signature without belonging to a specific musical style. The algorithm is based on a stochastic model in which various aspects and qualities of the generated rhythm can be controlled intuitively and in real time. Such qualities are the density of the generated events per bar, the amount of variation in generation, the amount of syncopation, the metrical strength, and of course the meter itself. The kin.rhythmicator software application was developed to implement this algorithm. During a performance with the kin.rhythmicator the user can control all aspects of the performance through descriptive and intuitive graphic controls.
Image quality assessment based on structure variance classification

In this paper, we find that the structure variance of images could be divided into four classifications, slight deformations, additive impairments, detail losses, and confusing contents, and what's more, for each classification, subjective evaluation is different. According this, we propose a novel image quality assessment (IQA) method based on structure variance classification. The proposed method classifies the structure variance of each patch into one of the four classifications using binary logic and then summarizes the areas of different classifications. To get more comprehensive evaluation, the proposed method also incorporates the measurements of differences between extracted features. Our method is tested on five public databases and compared with seven state-of-art methods. The experimental results demonstrate that our method can achieve higher consistency in relation to the subjective evaluation compared to the state-of-art IQA methods.
A modified particle swarm optimizer applied to the solution of the economic dispatch problem

In this paper, a modified approach, based on the particle swarm optimizer (PSO) is presented and explained in detail. As a case study, this PSO technique is applied to the solution of the economic dispatch (ED) problem of thermal generating units. A piecewise quadratic function is used to represent the fuel cost of each generating unit. The B-coefficient method is used to model the transmission losses. A modification to the standard PSO algorithm is proposed to allow dealing with the power balance equality constraint. Unlike the traditional methods, this modification does not depend on penalizing the infeasible solutions using a pre-defined penalty function. The application of the proposed method to several case studies shows that it is applicable to large networks with multigenerating units including transmission losses with very promising results.