Miracle-dz/UniFAR-FTUs huggingface dataset:
A hybrid genetic algorithm for medical image registration with Downhill Simplex method

An hybrid genetic algorithm was proposed to perform the optimal parameters for image registration. The Genetic algorithm(GA) was combined with the Downhill Simplex search, and the GA algorithm considered the adaptive probabilities of mutation which change with the fitness distance correlation(FDC), mutual information(MI) was used as metric in this paper. The results using the hybrid genetic algorithm are compared with those using the simple genetic algorithm, experimental results show that the proposed algorithm is robust and accuracy.
Du "cancre" au "sauvageon" ["Les conditions institutionnelles de diffusion des politiques d'"insertion" et de "tolérance zéro"]

Depuis la fin des annees 1980, la question scolaire est de plus en plus posee en termes d’integration normative des eleves et de relations entre l’ecole et le « monde du travail ». Par le developpement des politiques de lutte contre les « violences scolaires » et contre l’absenteisme, ainsi que par l’appropriation des pratiques qui s’etaient developpees dans le secteur de « l’insertion », l’institution scolaire a opere une sorte d’adaptation structurelle aux transformations des conditions sociales et scolaires en developpant a ses marges de nouveaux modes de gestion des publics deviants. Une enquete, menee aupres d’un ensemble de professionnels de l’Education nationale, du travail social, du secteur de la police et de la justice, montre que l’un des aspects majeurs de ces transformations est d’avoir constitue un espace elargi de cooperations inter-institutionnelles. Dans ces interactions se jouent tout a la fois le traitement applique aux differentes especes de deviants ou « sans affectation » et la redefinition des attributions respectives des differentes categories professionnelles impliquees. Les reconfigurations institutionnelles induites par ces nouvelles politiques publiques accompagnent le developpement des mesures de type repressif et des pratiques issues de « l’insertion », tout en creant les conditions de leur propre perpetuation.
An Attribute Reduction Algorithm Based on Rough Set Theory and an Improved Genetic Algorithm

Because the existing attribute reduction algorithms based on rough set theory and genetic algorithm have the main problems: the complexity in calculating fitness function and slow speed in convergence. An attribute reduction algorithm based on rough set theory and an improved genetic algorithm is proposed in this paper. In order to simplify the calculation of fitness function under the condition of keeping the algorithm correct, the relative importance of chromosome is used to define the fitness function. Beyond that, by introducing the core attributes into the initial population and using an improved mutation operator, the algorithm can not only maintain the feature of whole optimization, but also have a quicker convergence speed. The experimental results show that the algorithm can obtain the optimal attribute reduction set of information system quickly and efficiently.
Torque optimization for a 7DOF upper-limb power-assist exoskeleton robot

Many kinds of power-assist robots have been developed in order to assist daily life motions of the elderly or physically weak persons. A human upper-limb has 7 degrees of freedom to achieve various tasks dexterously. Therefore, to assist all upper-limb joint motions of a human, the upper-limb power-assist robot is required to have 7DOF. On the other hand, to achieve a desired task, a person moves own hand to the desired position and orientation. For this reason, the hand position or hand force must be focused to be controlled by the upper-limb power-assist robots. However, the hand position or hand force is 6-dimensional vector, so the 7DOF upper-limb power-assist robot has a redundancy and in general, a pseudo-inverse matrix is used in the control. In this paper, the torque optimization for an upper-limb power-assist exoskeleton robot using the pseudo-inverse matrix is discussed. The effectiveness of the proposed method was evaluated by the experiments.
Neuronal Activity Regulates Diffusion Across the Neck of Dendritic Spines

In mammalian excitatory neurons, dendritic spines are separated from dendrites by thin necks. Diffusion across the neck limits the chemical and electrical isolation of each spine. We found that spine/dendrite diffusional coupling is heterogeneous and uncovered a class of diffusionally isolated spines. The barrier to diffusion posed by the neck and the number of diffusionally isolated spines is bidirectionally regulated by neuronal activity. Furthermore, coincident synaptic activation and postsynaptic action potentials rapidly restrict diffusion across the neck. The regulation of diffusional coupling provides a possible mechanism for determining the amplitude of postsynaptic potentials and the accumulation of plasticity-inducing molecules within the spine head.
Towards sustaining levels of reflective learning: how do transformational leadership, task interdependence, and self-efficacy shape teacher learning in schools?

Whereas cross-sectional research has shown that transformational leadership, task interdependence, and self-efficacy are positively related to teachers’ engagement in reflective learning activities, the causal direction of these relations needs further inquiry. At the same time, individual teacher learning might play a mutual role in strengthening school-level capacity for sustained improvement. Building on previous research, this longitudinal study therefore examines how transformational leadership, task interdependence, self-efficacy, and teachers’ engagement in self-reflection mutually affect each other over time. Questionnaire data gathered on three measurement occasions from 655 Dutch Vocational Education and Training teachers was analyzed using a multivariate Latent Difference Score model. Results indicate that self-reflection and task interdependence reciprocally influence each other’s change. A considerate and stimulating transformational leader was found to contribute to this process. Change in self-efficacy was influenced by self-reflection, indicating that learning leads to competency beliefs. Together, the findings point to the important role transformational leadership practices play in facilitating teamwork, and sustaining teachers’ levels of learning in schools.
Supporting online analytics with user-defined estimation and early termination in a MapReduce-like framework

Online analytics based on runtime approximation has been widely adopted for meeting time and/or resource constraints. Though MapReduce has been gaining its popularity in both scientific and commercial sectors, there are several obstacles in implementing online analytics in a MapReduce implementation. In this paper, we present a MapReduce-like framework for online analytics. Our system can process the input incrementally, provide fast estimates, and terminate the execution as soon as a user-defined termination state is reached. We have extended the MapReduce API by allowing the user to customize both the estimation method and termination condition. We also have shown both the functionality and efficiency of our system through three approximate applications. A comparison with a batch processing implementation shows a speedup of at least an order of magnitude.
Mycobacterium tuberculosis isolates of Beijing genotype in Thailand.

References 1. Schmaljohn C, Hjelle B. Hantaviruses: a global disease problem. Emerg Infect Dis 1997;3:95-104. 2. Tsai T. Hemorrhagic fever with renal syndrome: mode of transmission to humans. Lab Anim Sci 1987;37:428-30. 3. Hjelle B, Glass GE. Outbreak of hantavirus infection in the Four Corners region of the United States in the wake of the 1997-98 El Niño-Southern oscillation. J Infect Dis 2000;181:1569-73. 4. Centers for Disease Control and Prevention. Laboratory management of agents associated with hantavirus pulmonary syndrome: interim biosafety guidelines. MMWR Morb Mortal Wkly Rep 1994;43(RR-7):1-7. 5. Mills JN, Yates TL, Childs JE, Parmenter RR, Ksiazek TG, Rollin PE, et al. Guidelines for working with rodents potentially infected with hantavirus. Journal of Mammalogy 1995;76:716-22. 6. Botten J, Nofchissey R, Kirkendoll-Ahern H, Rodriguez-Moran P, Wortman IA, Goade D, et al. Outdoor facility for quarantine of wild rodents infected with hantavirus. Journal of Mammalogy 2000;81:250-9. 7. Botten J, Mirowsky K, Kusewitt D, Bharadwaj M, Yee J, Ricci R, et al. Experimental infection model for Sin Nombre hantavirus in the deer mouse (Peromyscus maniculatus). Proc Natl Acad Sci U S A 2000;97:10578-83. 8. Green W, Feddersen R, Yousef O, Behr M, Smith K, Nestler J, et al. Tissue distribution of hantavirus antigen in naturally infected humans and deer mice. J Infect Dis 1998;177:1696-700. 9. Mills JN, Ksiazek TG, Ellis BA, Rollin PE, Nichol ST, Yates TL, et al. Patterns of association with host and habitat: antibody reactive with Sin Nombre virus in small mammals in the major biotic communities of the southwestern United States. Am J Trop Med Hyg 1997;56:273-84. 10. Bennett SG, Webb JP Jr, Madon MB, Childs JE, Ksiazek TG, Torrez-Martinez, et al. Hantavirus (Bunyaviridae) infections in rodents from Orange and San Diego counties, California. Am J Trop Med Hyg 1999;60:75-84. 11. Borucki MK, Boone JD, Rowe JE, Bohlman MC, Kuhn EA, DeBaca R, et al. Role of maternal antibody in natural infection of Peromyscus maniculatus with Sin Nombre virus. J Virol 2000;74:2426-29.
Spherical Deconvolution

This paper proposes nonparametric deconvolution density estimation overS2. Here we would think of theS2elements of interest being corrupted by randomSO(3) elements (rotations). The resulting density on the observations would be a convolution of theSO(3) density with the trueS2density. Consequently, the methodology, as in the Euclidean case, would be to use Fourier analysis onSO(3) andS2, involving rotational and spherical harmonics, respectively. We especially consider the case where the deconvolution operator is a bounded operator lowering the Sobolev order by a finite amount. Consistency results are obtained with rates of convergence calculated under the expectedS2and Sobolev square norms that are proportionally inverse to some power of the sample size. As an example we introduce the rotational version of the Laplace distribution.
Identifying comprehension bottlenecks using program slicing and cognitive complexity metrics

Achieving and maintaining high software quality is most dependent on how easily the software engineer least familiar with the system can understand the system's code. Understanding attributes of cognitive processes can lead to new software metrics that allow the prediction of human performance in software development and for assessing and improving the understandability of text and code. In this research we present novel metrics based on current understanding of short-term memory performance to predict the location of high frequencies of errors and to evaluate the quality of a software system. We further enhance these metrics by applying static and dynamic program slicing to provide programmers with additional guidance during software inspection and maintenance efforts.
‘The resurrection after the old has gone and the new has come’: understanding narratives of forgiveness, redemption and resurrection in Christian individuals serving time in custody for a sexual offence

ABSTRACT Research has shown how religion is associated with numerous positive effects including enhanced mood, increased feelings of hope, increased altruistic behaviour, improved ability to cope and also reducing people’s involvement in delinquent and criminal behaviour. However, this has also been contested with some arguing that religion can have criminogenic effects. Whilst there is a growing body of research concerning the effect (criminogenic or positive) of religion on offending, there is currently a paucity of research focusing on sexual offending and religion. The aim of this study was to explore and understand the effects that religious beliefs have on individuals with sexual convictions’ sense of self, identity, their thoughts about the future and on their daily lives in prison. The results focus on a centrally important superordinate theme related to forgiveness and redemption. The analysis unpacks participants’ narratives of forgiveness and the impact such narratives have on participants. A key finding from the data in this study was that religious beliefs and being forgiven by a higher power appeared to facilitate redemptive selves and the enacting of these selves. Implications for practice and limitations are discussed.
Sustained accumulation of prelamin A and depletion of lamin A/C both cause oxidative stress and mitochondrial dysfunction but induce different cell fates

The cell nucleus is structurally and functionally organized by lamins, intermediate filament proteins that form the nuclear lamina. Point mutations in genes that encode a specific subset of lamins, the A-type lamins, cause a spectrum of diseases termed laminopathies. Recent evidence points to a role for A-type lamins in intracellular redox homeostasis. To determine whether lamin A/C depletion and prelamin A accumulation differentially induce oxidative stress, we have performed a quantitative microscopy-based analysis of reactive oxygen species (ROS) levels and mitochondrial membrane potential (Δψm) in human fibroblasts subjected to sustained siRNA-mediated knockdown of LMNA and ZMPSTE24, respectively. We measured a highly significant increase in basal ROS levels and an even more prominent rise of induced ROS levels in lamin A/C depleted cells, eventually resulting in Δψm hyperpolarization and apoptosis. Depletion of ZMPSTE24 on the other hand, triggered a senescence pathway that was associated with moderately increased ROS levels and a transient Δψm depolarization. Both knockdowns were accompanied by an upregulation of several ROS detoxifying enzymes. Taken together, our data suggest that both persistent prelamin A accumulation and lamin A/C depletion elevate ROS levels, but to a different extent and with different effects on cell fate. This may contribute to the variety of disease phenotypes witnessed in laminopathies.
Conversation analysis and electronic interactions: Methodological, analytic and technical considerations

This chapter proposes that, as a method which has engaged with interaction in other contexts, conversation analysis (CA) should be used to analyze electronic interactions. The adoption of CA leads to a number of methodological pointers and this chapter reviews some of these. The authors firstly overview previous research on electronic discourse, including work which has also applied CA to electronic interactions. The authors then describe the main elements of CA, and also briefly discuss the closely related approach of discursive psychology. Using a corpus of quasi-synchronous instant messaging chats, the authors show how data can be collected which captures how users actually conduct online interactions. The authors discuss the ethical issues inherent in collecting such data. Finally, using examples from the corpus, the authors demonstrate the importance of making timed transcripts and working with screen capture data.
Developing Community-Empowered Schools

Introduction What Is a Community-Empowered School? Who Are the Stakeholders? Policies and Procedures That Support School and Community Partnerships How to Empower and Train Staff for Effective School and Community Partnerships Volunteer Strategies to Support Literary Activities Building Community Collaborations for Added Resources Schools as Economic Solutions to Communities The Future of Community-Empowered Schools
Delta-Cosymmetric Association Rules: Definition, Properties and Visualization

A controlled deflection roll contains support elements or groups of such support elements which support the roll shell in relation to the roll support with forces which differ with respect to one another in accordance with a predetermined function, notwithstanding the fact that the support elements are acted upon by the same control signal from a common control source. When using hydraulic support elements this can be realized by throttle elements or throttle means located in the infeed line to one of the support elements which, if desired, also can possess a cross-sectional area which differs from the cross-sectional area of the simultaneously controlled support elements.
Host Galaxies, Obscuration, and Nuclear Structure of Three Nearby Compact Symmetric Objects

We present three-band Hubble Space Telescope imaging of three nearby (z ≤ 0.1) compact symmetric objects: 4C 31.04, 1946+708, and 1146+596. These objects were chosen on the basis of proximity to Earth as well as H I 21 cm line absorption. The inner H-band isophotes of these galaxies are well fitted by Nuker models, typical of nearby elliptical galaxies. Each shows a significant flattening in the isophotal profile at radii ∼0. ″5, as well as significant variations in ellipticity and P.A. However, as previous authors have noted, neither is uncommon for elliptical galaxies. All three objects show modest departures from Nuker law models at radii of 1–5 h kpc. Each galaxy shows large well-distributed dust features, which are somewhat concentrated in the nuclear regions in features that resemble disks or tori. We find that the amount of dust in these galaxies is about 10 times higher than normal for elliptical galaxies and radio galaxy hosts. The major axes of the nuclear dust disks tend to be oriented roughly perpendicular to the radio axis. One galaxy, 4C 31.04, exhibits bright nuclear regions well aligned with the radio axis, while another, 1146+596, shows a significant near-IR excess resembling a stellar bar along its dust disk. The combination of outwardly normal isophotal profiles with significant variations in P.A. and ellipticity is consistent with the host galaxies being relatively recent merger remnants and the mergers having occurred ≳108 yr ago. Such a merger could have "triggered" the onset of the current active phase seen in these objects, but our data require a significant time delay between the merger event and the onset of nuclear activity. However, these data are also consistent with the hypothesis that the onset of nuclear activity in radio galaxies is due to relatively minor "feeding" events and/or the formation of "bars within bars," events which would disturb the internal kinematics only slightly.
BCP-MG: A web server for predicting bacterial community of metagenome

In this context, we report the availability of a convenient server for the bacterial community prediction of metagenome which can be accessed from http://bioinfo.ustc. edu. cn/softwares/bcp-mg/. This tool predicts the bacterial community according to the enzyme information extracted from the annotation of metagenomic sample or the metabolic network reconstructed from this data. Optional constraints including the metabolic database and the organisms selecting strategy can be set by users to fit their needs. An improved set-covering algorithm was employed to predict a conservative, yet more faithful, community. The predicted community not only covers all the known metabolic functions, but also can be used to discover unknown functions of the metagenomic samples.
Evolving four part harmony using a Multiple Worlds Model

This application of the Multiple Worlds Model examines a collaborative fitness model for generating four part harmonies. In this model we have multiple populations and the fitness of the individuals is based on the ability of a member from each population to work with the members of other populations. We present the result of two experiments: the generation of compositions, given a static voice line, both in a constrained and unconstrained harmonic framework. The remaining three voices are evolved using this collaborative fitness function, which looks for a number of classical composition rules for such music. The evolved music is found to meet with the requirements placed on it by musical theory. Using the data obtained while running our experiments we observe and discuss interesting qualities of the solution space.
Second-order sliding mode speed controller with anti-windup for BLDC motors

In this paper, a second-order sliding mode speed controller with Anti-windup for Brushless DC (BLDC) motors is proposed. The speed control is developed on the mathematical model based on the well known (d; q) field oriented frame. The super-twisting algorithm is a second order sliding mode controller that allows the rejection of the chattering phenomena while maintaining the robustness of the control. The anti-windup is a technique to handle with the pure-integrator saturation phenomenon, which may lead to instability and low performance in real-time control implementation. By using a Lyapunov function, the closed-loop stability of the system is demonstrated. The control law is implemented on an Digital Signal Processor (DSP) TMS320F2812. Simulations and experimental results are presented and compared to the same control strategy.
The Role of Folate Transport in Antifolate Drug Action in Trypanosoma brucei*

The aim of this study was to identify and characterize mechanisms of resistance to antifolate drugs in African trypanosomes. Genome-wide RNAi library screens were undertaken in bloodstream form Trypanosoma brucei exposed to the antifolates methotrexate and raltitrexed. In conjunction with drug susceptibility and folate transport studies, RNAi knockdown was used to validate the functions of the putative folate transporters. The transport kinetics of folate and methotrexate were further characterized in whole cells. RNA interference target sequencing experiments identified a tandem array of genes encoding a folate transporter family, TbFT1–3, as major contributors to antifolate drug uptake. RNAi knockdown of TbFT1–3 substantially reduced folate transport into trypanosomes and reduced the parasite's susceptibly to the classical antifolates methotrexate and raltitrexed. In contrast, knockdown of TbFT1–3 increased susceptibly to the non-classical antifolates pyrimethamine and nolatrexed. Both folate and methotrexate transport were inhibited by classical antifolates but not by non-classical antifolates or biopterin. Thus, TbFT1–3 mediates the uptake of folate and classical antifolates in trypanosomes, and TbFT1–3 loss-of-function is a mechanism of antifolate drug resistance.
Statistical prediction modeling for software development process performance

With the advent of the information age and more intense competitions among IT companies, it is more important to assess the quality of software development processes and products by not only measuring outcomes but also predicting outcomes. On the basis of analysis and experiments about software development processes and products, a study of the process performance modeling has been conducted with statistical analyzing past and current process performance data. In this paper, we present a statistical prediction modeling for Software Development Process Performance. For predicting delivered defects effectively, a simple case study is illustrated, and several suggestions on planning and controlling management brought from this model are analyzed in detail. At the end, the conclusions with a discussion of future research consideration are pointed out in this paper.