Miracle-dz/UniFAR-FTUs huggingface dataset:
Stabilization of the actomyosin complex by negative charges on myosin.

Sequence comparisons of members of the myosin superfamily show a high degree of charge conservation in a surface exposed helix (Dictyostelium discoideum myosin II heavy chain residues S510 to K546). Most myosins display a triplet of acidic residues at the equivalent positions to D. discoideummyosin II residues D530, E531, and Q532. The high degree of charge conservation suggests strong evolutionary constrain and that this region is important for myosin function. Mutations at position E531 were shown to strongly affect actin binding [Giese, K. C. , and Spudich, J. A. (1997) Biochemistry 36, 8465-8473]. Here, we used steady-state and transient kinetics to characterize the enzymatic competence of mutant constructs E531Q and Q532E, and their properties were compared with those of a loop 2 mutant with a 20 amino acid insertion containing 12 positive charges (20/+12) [Furch et al. (1998) Biochemistry 37, 6317-6326], double mutant Q532E(20/+12), and the native motor domain constructs. Our results confirm that charge changes at residues 531 and 532 primarily affect actin binding with little change being communicated to the nucleotide pocket. Mutation D531Q reduces actin affinity (K(A)) 10-fold, while Q532E leads to a 5-fold increase. The observed changes in K(A)() stem almost exclusively from variations in the dissociation rate constant (k(-A)), with the introduction of a single negative charge at position 532 having the same effect on k(-A) as the introduction of 12 positive charges in the loop 2 region.
Damage assessment framework for landslide disaster based on very high-resolution images

Abstract. It is well known that rapid building damage assessment is necessary for postdisaster emergency relief and recovery. Based on an analysis of very high-resolution remote-sensing images, we propose an automatic building damage assessment framework for rainfall- or earthquake-induced landslide disasters. The framework consists of two parts that implement landslide detection and the damage classification of buildings, respectively. In this framework, an approach based on modified object-based sparse representation classification and morphological processing is used for automatic landslide detection. Moreover, we propose a building damage classification model, which is a classification strategy designed for affected buildings based on the spectral characteristics of the landslide disaster and the morphological characteristics of building damage. The effectiveness of the proposed framework was verified by applying it to remote-sensing images from Wenchuan County, China, in 2008, in the aftermath of an earthquake. It can be useful for decision makers, disaster management agencies, and scientific research organizations.
Multiethnic Moments: The Politics of Urban Education Reform

Multiethnic Moments: The Politics of Urban Education Reform. By Susan E. Clarke, Rodney E. Hero, Mara S. Sidney, Luis R. Fraga, and Bari A. Erlichson. Philadelphia: Temple University Press, 2006. 264p. $69.50 cloth, $23.95 paper. This book, which had its origins in the Civic Capacity and Urban Education Project funded by the National Science Foundation and directed by Clarence Stone, examines the politics of race and education in four major U.S. cities—San Francisco, Los Angeles, Denver, and Boston. Each of these cities is multiracial, with substantial populations of Latinos and Asian Americans as well as African Americans and Anglos. The authors' objective is to determine how new ethnic interest groups fit into the politics of education reform, a politics that historically had focused on educational equity in the context of black–white politics.
THE XMM-NEWTON WIDE-FIELD SURVEY IN THE COSMOS FIELD (XMM-COSMOS): DEMOGRAPHY AND MULTIWAVELENGTH PROPERTIES OF OBSCURED AND UNOBSCURED LUMINOUS ACTIVE GALACTIC NUCLEI

We report the final optical identifications of the medium-depth (∼60 ks), contiguous (2 deg2) XMM-Newton survey of the COSMOS field. XMM-Newton has detected ∼1800 X-ray sources down to limiting fluxes of ∼5 × 10−16, ∼3 × 10−15, and ∼7 × 10−15 erg cm−2 s−1 in the 0.5–2 keV, 2–10 keV, and 5–10 keV bands, respectively (∼1 × 10−15, ∼6 × 10−15, and ∼1 × 10−14 erg cm−2 s−1, in the three bands, respectively, over 50% of the area). The work is complemented by an extensive collection of multiwavelength data from 24 μm to UV, available from the COSMOS survey, for each of the X-ray sources, including spectroscopic redshifts for ≳50% of the sample, and high-quality photometric redshifts for the rest. The XMM and multiwavelength flux limits are well matched: 1760 (98%) of the X-ray sources have optical counterparts, 1711 (∼95%) have IRAC counterparts, and 1394 (∼78%) have MIPS 24 μm detections. Thanks to the redshift completeness (almost 100%) we were able to constrain the high-luminosity tail of the X-ray luminosity function confirming that the peak of the number density of log LX > 44.5 active galactic nuclei (AGNs) is at z ∼ 2. Spectroscopically identified obscured and unobscured AGNs, as well as normal and star-forming galaxies, present well-defined optical and infrared properties. We devised a robust method to identify a sample of ∼150 high-redshift (z > 1), obscured AGN candidates for which optical spectroscopy is not available. We were able to determine that the fraction of the obscured AGN population at the highest (LX > 1044 erg s−1) X-ray luminosity is ∼15%–30% when selection effects are taken into account, providing an important observational constraint for X-ray background synthesis. We studied in detail the optical spectrum and the overall spectral energy distribution of a prototypical Type 2 QSO, caught in a stage transitioning from being starburst dominated to AGN dominated, which was possible to isolate only thanks to the combination of X-ray and infrared observations.
Competence and control orientations as predictors of test anxiety in students: Longitudinal results

Abstract The hypothesis that domain-specific self-related cognitions (self-concept of own competence and control orientations) are predictors of text anxiety in students is tested by longitudinal data. At the beginning and at the end of a school year the following variables were measured twice in a sample of 346 secondary school students (grades six to ten): (1) self-concept of own competence in mathematics, (2) three aspects of locus of control for problem-solving behavior (internality, powerful others control, and chance control), (3) generalized locus of control of reinforcement, (4) test anxiety as well as manifest anxiety. The cross-sequential developmental gradients point toward symmetries in the development of self-related cognitions and test anxiety. The results of cross-lagged correlation analyses show that the null hypothesis (no causal relations exist between the self-related cognitions and test anxiety) can be rejected for the domain-specific aspects of (a low) self-concept of own competence a.
Evaluation of NAD+-Dependent DNA Ligase of Mycobacteria as a Potential Target for Antibiotics

ABSTRACT Mycobacteria contain genes for several DNA ligases, including ligA, which encodes a NAD+-dependent enzyme that has been postulated to be a target for novel antibacterial compounds. Using a homologous recombination system, direct evidence is presented that wild-type ligA cannot be deleted from the chromosome of Mycobacterium smegmatis. Deletions of native ligA in M. smegmatis could be obtained only after the integration of an extra copy of M. smegmatis or Mycobacterium tuberculosis ligA into the attB site of the chromosome, with expression controlled by chemically inducible promoters. The four ATP-dependent DNA ligases encoded by the M. smegmatis chromosome were unable to replace the function of LigA. Interestingly, the LigA protein from M. smegmatis could be substituted with the NAD+-dependent DNA ligase of Escherichia coli or the ATP-dependent ligase of bacteriophage T4. The conditional mutant strains allowed the analysis of the effect of LigA depletion on the growth of M. smegmatis. The protein level of the conditional mutants was estimated by Western blot analysis using antibodies raised against LigA of M. tuberculosis. This revealed that a strong overproduction or depletion of LigA did not affect the growth or survival of mycobacteria under standard laboratory conditions. In conclusion, although NAD+-dependent DNA ligase is essential for mycobacterial viability, only low levels of protein are required for growth. These findings suggest that very efficient inhibition of enzyme activity would be required if NAD+-dependent DNA ligase is to be useful as an antibiotic target in mycobacteria. The strains developed here will provide useful tools for the evaluation of the efficacy of any appropriate compounds in mycobacteria.
Aerosol delivery of synthetic lung surfactant

Background. Nasal continuous positive airway pressure (nCPAP) is a widely accepted technique of non-invasive respiratory support in premature infants with respiratory distress syndrome due to lack of lung surfactant. If this approach fails, the next step is often intubation, mechanical ventilation (MV) and intratracheal instillation of clinical lung surfactant. Objective. To investigate whether aerosol delivery of advanced synthetic lung surfactant, consisting of peptide mimics of surfactant proteins B and C (SP-B and SP-C) and synthetic lipids, during nCPAP improves lung function in surfactant-deficient rabbits. Methods. Experimental synthetic lung surfactants were produced by formulating 3% Super Mini-B peptide (SMB surfactant), a highly surface active SP-B mimic, and a combination of 1.5% SMB and 1.5% of the SP-C mimic SP-Css ion-lock 1 (BC surfactant), with a synthetic lipid mixture. After testing aerosol generation using a vibrating membrane nebulizer and aerosol conditioning (particle size, surfactant composition and surface activity), we investigated the effects of aerosol delivery of synthetic SMB and BC surfactant preparations on oxygenation and lung compliance in saline-lavaged, surfactant-deficient rabbits, supported with either nCPAP or MV. Results. Particle size distribution of the surfactant aerosols was within the 1–3 µm distribution range and surfactant activity was not affected by aerosolization. At a dose equivalent to clinical surfactant therapy in premature infants (100 mg/kg), aerosol delivery of both synthetic surfactant preparations led to a quick and clinically relevant improvement in oxygenation and lung compliance in the rabbits. Lung function recovered to a greater extent in rabbits supported with MV than with nCPAP. BC surfactant outperformed SMB surfactant in improving lung function and was associated with higher phospholipid values in bronchoalveolar lavage fluid; these findings were irrespective of the type of ventilatory support (nCPAP or MV) used. Conclusions. Aerosol delivery of synthetic lung surfactant with a combination of highly active second generation SP-B and SP-C mimics was effective as a therapeutic approach towards relieving surfactant deficiency in spontaneously breathing rabbits supported with nCPAP. To obtain similar results with nCPAP as with intratracheal instillation, higher dosage of synthetic surfactant and reduction of its retention by the delivery circuit will be needed to increase the lung dose.
The fault in our scores: Impact analysis of distorted subjective data in objective QoE assessment

Subjective evaluation of service quality is considered by many to be the ultimate solution in the aspect of measurement accuracy, yet such methods consume immense resources and are difficult to automate in order to provide realtime service quality monitoring. More and more objective assessment techniques rise to efficiently estimate the level of perceived quality and a notable portion began involving subjective measurement data to reduce the gap between objective and subjective methods. However, a distorted subjective input may diminish accuracy instead of increasing it. The paper presents the analysis of distorted subjective evaluation utilized in automated assessment solutions. Four distinct usages of subjective data is investigated and shown how the distorted input may appear in method validation and quality estimation results.
Melody Extraction by Contour Classification

Due to the scarcity of labeled data, most melody extraction algorithms do not rely on fully data-driven processing blocks but rather on careful engineering. For example, the Melodia melody extraction algorithm employs a pitch contour selection stage that relies on a number of heuristics for selecting the melodic output. In this paper we explore the use of a discriminative model to perform purely data-driven melodic contour selection. Speciﬁcally, a discriminative binary classiﬁer is trained to distinguish melodic from non-melodic contours. This classiﬁer is then used to predict likelihoods for a track’s extracted contours, and these scores are decoded to generate a single melody output. The results are compared with the Melodia algorithm and with a generative model used in a previous study. We show that the discriminative model outperforms the generative model in terms of contour classiﬁcation accuracy, and the melody output from our proposed system performs comparatively to Melodia. The results are complemented with error analysis and avenues for future improvements.
The DISCOVER codec: Architecture, Techniques and Evaluation

Distributed Video Coding is becoming more and more popular among the research community, because of its interesting theoretical contributions and because there are still many open problems waiting to be solved. This paper introduces the codec architecture and the associated tools adopted by DISCOVER (DIStributed COding for Video sERvices), a European project which has been devoted to the advancement of Distributed Video Coding for two years. Along with the general description and pointers to references with more detailed information, this paper also presents some of the results obtained with the DISCOVER codec. An extended performance analysis and the codec’s executable file are both publicly available on the project’s web site www.discoverdvc. org.
Requirements for Safe Robots: Measurements, Analysis and New Insights

Physical human—robot interaction and cooperation has become a topic of increasing importance and of major focus in robotics research. An essential requirement of a robot designed for high mobility and direct interaction with human users or uncertain environments is that it must in no case pose a threat to the human. Until recently, quite a few attempts were made to investigate real-world threats via collision tests and use the outcome to considerably improve safety during physical human—robot interaction. In this paper, we give an overview of our systematic evaluation of safety in human—robot interaction, covering various aspects of the most significant injury mechanisms. In order to quantify the potential injury risk emanating from such a manipulator, impact tests with the DLR-Lightweight Robot III were carried out using standard automobile crash test facilities at the German Automobile Club (ADAC). Based on these tests, several industrial robots of different weight have been evaluated and the influence of the robot mass and velocity have been investigated. The evaluated non-constrained impacts would only partially capture the nature of human—robot safety. A possibly constrained environment and its effect on the resulting human injuries are discussed and evaluated from different perspectives. As well as such impact tests and simulations, we have analyzed the problem of the quasi-static constrained impact, which could pose a serious threat to the human even for low-inertia robots under certain circumstances. Finally, possible injuries relevant in robotics are summarized and systematically classified.
T‐Communities: Pedestrian Street Networks and Residential Segregation in Chicago, Los Angeles, and New York

In this article, I build on Grannis' (1998) analysis and examine the entire metropolitan regions of the three most populous U.S. Primary Metropolitan Statistical Areas (PMSAs). I find that t‐communities, communities defined by their internal access via pedestrian streets, powerfully account for the racial patterning of households in all three metropolitan areas. Racial variation occurs between t‐communities not within them, even when both distances between block groups or, in the case of households with children, racial variation between elementary schools is accounted for. While Grannis (1998) examined how similar t‐communities connected by pedestrian streets were to each other, this study examines how internally homogeneous t‐communities themselves are. Further, this study's analysis of households with children finds that they have settled in such a way as to assure a racially homogeneous t‐community more than a racially homogeneous school. By analyzing the entire metropolitan areas of PMSAs in different regions, this study also discovered very large t‐communities, hundreds of times larger than a typical t‐community, in which pedestrian streets no longer have an important influence.
Joint Albedo Estimation and Pose Tracking from Video

The albedo of a Lambertian object is a surface property that contributes to an object's appearance under changing illumination. As a signature independent of illumination, the albedo is useful for object recognition. Single image-based albedo estimation algorithms suffer due to shadows and non-Lambertian effects of the image. In this paper, we propose a sequential algorithm to estimate the albedo from a sequence of images of a known 3D object in varying poses and illumination conditions. We first show that by knowing/estimating the pose of the object at each frame of a sequence, the object's albedo can be efficiently estimated using a Kalman filter. We then extend this for the case of unknown pose by simultaneously tracking the pose as well as updating the albedo through a Rao-Blackwellized particle filter (RBPF). More specifically, the albedo is marginalized from the posterior distribution and estimated analytically using the Kalman filter, while the pose parameters are estimated using importance sampling and by minimizing the projection error of the face onto its spherical harmonic subspace, which results in an illumination-insensitive pose tracking algorithm. Illustrations and experiments are provided to validate the effectiveness of the approach using various synthetic and real sequences followed by applications to unconstrained, video-based face recognition.
Recovery from mild concussion in high school athletes.

OBJECT A computerized neuropsychological test battery was conducted to evaluate memory dysfunction and self-reporting of symptoms in a group of high school athletes who had suffered concussion. METHODS Neuropsychological performance prior to and following concussion was compared with the test performance of an age-matched control group. Potentially important diagnostic markers of concussion severity are discussed and linked to recovery within the 1st week of injury. CONCLUSIONS High school athletes who had suffered mild concussion demonstrated significant declines in memory processes relative to a noninjured control group. Statistically significant differences between preseason and postinjury memory test results were still evident in the concussion group at 4 and 7 days postinjury. Self-reported neurological symptoms such as headache, dizziness, and nausea resolved by Day 4. Duration of on-field mental status changes such as retrograde amnesia and posttraumatic confusion was related to the presence of memory impairment at 36 hours and 4 and 7 days postinjury and was also related to slower resolution of self-reported symptoms. The results of this study suggest that caution should be exercised in returning high school athletes to the playing field following concussion. On-field mental status changes appear to have prognostic utility and should be taken into account when making return-to-play decisions following concussion. Athletes who exhibit on-field mental status changes for more than 5 minutes have longer-lasting postconcussion symptoms and memory decline.
Televised Presidential Debates and Learning in the 2012 Korean Presidential Election: Does Political Knowledge Condition Information Acquisition?

This study examines the effects of watching TV debates on voters’ learning. Analyzing panel survey data conducted in the 2012 South Korean presidential election, we test whether voters learn about candidates through viewing presidential debates. In particular, this study finds that the information effects of watching TV debates are differential across individuals depending on their levels of political knowledge. The findings of this study show that viewing TV debates positively affects learning in general. Individuals are more likely to assimilate information through viewing televised debates if they watch TV debates more often and pay more attention to televised debates. Furthermore, this study reveals that the learning effects are heterogeneous across individuals according to their political knowledge. Citizens who are politically less knowledgeable, for instance, tend to learn more about candidates’ campaign proposals through viewing televised debates.
Loss of vtx Genes after the First Subcultivation Step of Verocytotoxigenic Escherichia coli O157 and Non-O157 during Isolation from Naturally Contaminated Fecal Samples

Verocytotoxins VT1 and VT2,produced by Verocytotoxigenic Escherichia coli (VTEC), are encoded on temperate bacteriophages. Several studies reported the loss of the vtx genes after multiple subcultivation steps or long preservation. The objective of this study was to determine if the loss of the verocytotoxin genes can already occur during the first subcultivation step. Consequently, the stability of the vtx genes were tested in 40 isolates originating from 40 vtx-positive fecal samples after the first subcultivation step following the isolation procedure. The loss occurred in 12 out of 40 strains tested and was rather rare among the O157 strains compared to the non-O157 strains. This is the first study demonstrating that the loss of the verocytotoxin genes can already occur after the first subcultivation step. This may lead to an underestimation of VTEC positive samples.
Dynamic Bayesian socio-situational setting classification

We propose a dynamic Bayesian classifier for the socio-situational setting of a conversation. Knowledge of the socio-situational setting can be used to search for content recorded in a particular setting or to select context-dependent models in speech recognition. The dynamic Bayesian classifier has the advantage - compared to static classifiers such a naive Bayes and support vector machines - that it can continuously update the classification during a conversation. We experimented with several models that use lexical and part-of-speech information. Our results show that the prediction accuracy of the dynamic Bayesian classifier using the first 25% of a conversation is almost 98% of the final prediction accuracy, which is calculated on the entire conversation. The best final prediction accuracy, 88.85%, is obtained by bigram dynamic Bayesian classification using words and part-of-speech tags.