Miracle-dz/UniFAR-FTUs huggingface dataset:
Mixed methods systematic review on effectiveness and experiences of the Incredible Years Teacher Classroom Management programme

Children’s early problematic behaviour correlates with later deviant behaviour. The Incredible Years Teacher Classroom Management (IY TCM) program trains teachers in proactive strategies to disrupt patterns of negative child behaviour. This mixed methods systematic review applies multilevel meta-analysis and qualitative meta-synthesis to answer: What is known about the effectiveness of IY TCM, and how do people experience the program and its effects? We included RCTs comparing IY TCM against treatment-as-usual/waitlist controls and interview/focus group studies with stakeholders. We pooled effect sizes using multilevel metaanalysis and applied grounded theory analysis to qualitative data. We used framework analysis and integrative grids for cross-synthesis. Nine studies from England, Ireland, Jamaica, the United States, and Wales were included. IY TCM significantly reduced teachers’ use of negative classroom management strategies and reduced conduct problems among high-risk children. No significant effects were found for improving child prosocial behaviours. Qualitative findings illuminated iterative learning processes between the individual and group and identified a wider range of perceived benefits than was measured in trials. Cross-synthesis demonstrates both harmonious overlap and gaps from differing research priorities. IY TCM presents an opportunity to lessen violence in schools, leading to improved learning environments for all. It reduced teachers’ negative classroom management practices and high-risk children’s aggressive/non-compliant behaviours. Experiential data mirrors these findings and expands upon them with a wide range of perceived benefits, demonstrating IY TCM MIXED METHODS SYSTEMATIC REVIEW OF INCREDIBLE YEARS 3 is acceptable and enjoyable. Future quantitative research should seek to test the processes produced in the qualitative meta-synthesis, to better understand mechanisms of change.
Presentation Services in MADEUS: an Authoring Environment for Multimedia Documents

The recent advances in multimedia systems, together with the advent of high speed networks, paved the way to a new generation of applications. In particular, authoring environments have found in multimedia the means of increasing the richness of information contained in electronic documents. One of the goals of the Opera team is designing an authoring environment for multimedia documents, called MADEUS, which meets the following requirements: a high level of expressiveness for both spatial and temporal dimensions; a user-friendly interface allowing highly interactive design process, scriptless and structured-based editing and automatic production of spatial and temporal layout; the portability and cross-platform interchange of multimedia documents. To achieve this research goal we first focus on finding a good representation of time for multimedia documents. This representation is required to capture the temporal dimension of media objects like video, audio, etc. and is also used to temporally organize objects with respect to each other. Time representation is clearly the main difference between multimedia authoring environment and traditional editing environments. We present in this paper our first investigational results in our experimental authoring environment MADEUS. A large part of these results are based on the experience acquired in implementing the MADEUS prototype.
Molecular Epidemiology of Enterovirus 71 Infection in the Central Region of Taiwan from 2002 to 2012

Enterovirus 71 (EV71), a causative agent of hand, foot, and mouth disease can be classified into three genotypes and many subtypes. The objectives of this study were to conduct a molecular epidemiological study of EV71 in the central region of Taiwan from 2002–2012 and to test the hypothesis that whether the alternative appearance of different EV71 subtypes in Taiwan is due to transmission from neighboring countries or from re-emergence of pre-existing local strains. We selected 174 EV71 isolates and used reverse transcription-polymerase chain reaction to amplify their VP1 region for DNA sequencing. Phylogenetic analyses were conducted using Neighbor-Joining, Maximum Likelihood and Bayesian methods. We found that the major subtypes of EV71 in Taiwan were B4 for 2002 epidemic, C4 for 2004–2005 epidemic, B5 for 2008–2009 epidemic, C4 for 2010 epidemic and B5 for 2011–2012 epidemic. Phylogenetic analysis demonstrated that the 2002 and 2008 epidemics were associated with EV71 from Malaysia and Singapore; while both 2010 and 2011–2012 epidemics originated from different regions of mainland China including Shanghai, Henan, Xiamen and Gong-Dong. Furthermore, minor strains have been identified in each epidemic and some of them were correlated with the subsequent outbreaks. Therefore, the EV71 infection in Taiwan may originate from pre-existing minor strains or from other regions in Asia including mainland China. In addition, 101 EV71 isolates were selected for the detection of new recombinant strains using the nucleotide sequences spanning the VP1-2A-2B region. No new recombinant strain was found. Analysis of clinical manifestations showed that patients infected with C4 had significantly higher rates of pharyngeal vesicles or ulcers than patients infected with B5. This is the first study demonstrating that different EV 71 genotypes may have different clinical manifestations and the association of EV71 infections between Taiwan and mainland China.
Energy-efficient physically tagged caches for embedded processors with virtual memory

In this paper we present a low-power tag organization for physically tagged caches in embedded processors with virtual memory support. An exceedingly small subset of tag bits is identified for each application hot-spot so that only these tag bits are used for cache access with no performance sacrifice as they provide complete address resolution. The minimal subset of physical tag bits, i.e. the compressed tag, is dynamically updated following the changes in the physical address space of the application. Special support from the operating system (OS) is introduced in order to maintain the compressed tag during program execution. The compressed tag is updated by the OS to match the current set of physical memory pages allocated to the application. We have proposed efficient algorithms that are incorporated within the memory allocator and the dynamic linker in order to achieve dynamic update of the compressed tags in the cases where the mapping between virtual and physical addresses is modified; such cases include memory allocation/deallocation and swapping physical pages on the secondary memory storage. The only hardware support needed within the l/D-caches is the support for disabling bitlines of the tag arrays. An extensive set of experimental results demonstrates the efficacy of the proposed approach.
Brand trust, institutional commitment, and their impact on student loyalty: evidence for higher education in India

ABSTRACT Oversupply of higher education services in emerging countries, like India, implies an ever-increasing cost of student acquisition despite large student populations. Hence, creating trust through effective service delivery supported with full institutional commitment remains the only way to create student loyalty and bring the subsequent acquisition costs down. This study investigates the impact of four dimensions of brand trust, namely reliability, credibility, benevolence and integrity, on students’ loyalty, and the mediating role played by institutional commitment for this relationship. Results show that reliability is the strongest direct determinant of loyalty followed by integrity, while benevolence can lead to loyalty only if the commitment is evident. These, as well as other interesting findings, have direct implications for top management/administrator of a higher education institute (HEI) in the form of specific emphasis to elements of trust for creating higher student loyalty.
The Model Selection for Semi-Supervised Support Vector Machines

Model selection for semi-supervised support vector machine is an important step in a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the bounds of the leave-one-out such as radius-margin bound and on the performance measures such as generalized approximate cross-validation empirical error, etc. In order to get the parameter of SVM with RBF kernel, this paper presents a linear grid search method, which combines grid search and linear search. This method can reduce the resources required both in terms of processing time and of storage space. Experiments both on artificial and real word datasets show that the proposed linear grid search has the advantage of good performance compared to using linear search alone.
Integrative Binding Sites within Intracellular Termini of TRPV1 Receptor

TRPV1 is a nonselective cation channel that integrates wide range of painful stimuli. It has been shown that its activity could be modulated by intracellular ligands PIP2 or calmodulin (CaM). The detailed localization and description of PIP2 interaction sites remain unclear. Here, we used synthesized peptides and purified fusion proteins of intracellular regions of TRPV1 expressed in E.coli in combination with fluorescence anisotropy and surface plasmon resonance measurements to characterize the PIP2 binding to TRPV1. We characterized one PIP2 binding site in TRPV1 N-terminal region, residues F189-V221, and two independent PIP2 binding sites in C–terminus: residues K688-K718 and L777-S820. Moreover we show that two regions, namely F189-V221 and L777-S820, overlap with previously localized CaM binding sites. For all the interactions the equilibrium dissociation constants were estimated. As the structural data regarding C-terminus of TRPV1 are lacking, restraint-based molecular modeling combined with ligand docking was performed providing us with structural insight to the TRPV1/PIP2 binding. Our experimental results are in excellent agreement with our in silico predictions.
The development features of the face recognition system

Nowadays personal identification is a very important issue. There is a wide range of applications in different spheres, such as video surveillance security systems, control of documents, forensics systems and etc. We consider a range of most significant aspects of face identification system based on support vector machines in this paper. At first we propose improved face detector to get the region of interest for next face recognition. In paper the technique of face detection jointly image normalization is introduced. We compare three algorithms of feature extraction in application on face identification (PCA NIPALS, NNPCA, kernel PCA). The presented system is intended for process the image with low quality, the photo with the different facial expressions. Our goal is to develop face recognition techniques and create the system for face identification.
Use of Biostimulants for Reducing Nutrient Solution Concentration in Floating System

The production innovations have been evolving more and more towards organic, sustainable or environmental friendly systems. Contemporarily, the yield and the quality of crops must be assured. The reduction of fertilisers may be obtained by improving the nutrients uptake or their utilisation by the plants. The aim of our work was to verify if the progressive reduction of nutrient solution concentration in the floating system can be compensated by applications of a biostimulant (Actiwave®, Valagro S.p.a.) without compromising the yield and the quality of vegetables. The experiments were performed on rocket (Eruca sativa Mill.) grown in floating system with standard nutrient solution (NS100%), which was compared with nutrient solutions diluted 4 (NS25%) or 10-fold (NS10%) with or without 0.3 ml L -1 Actiwave. At harvest, yield, leaf area, root dry weight, chlorophyll, carotenoids, and leaf nitrate content were determined. Results showed that Actiwave significantly increased the nutrient uptake and nutrient use efficiency in all treatments. In fact, no statistically significant differences were found in yield between NS100% and NS25% plus 0.3 ml mL -1 Actiwave. Moreover, Actiwave reduced the leaf nitrate content and increased chlorophyll and carotenoids in all treatments. Our results indicate that Actiwave lowered the leaf nitrate content through its ability in stimulating nutrient uptake and nitrogen metabolism. The combination of hydroponics and biostimulants appears as a promising environmental friendly strategy for the greenhouse production of highquality vegetables.
Resveratrol Prevents Oxidative Stress-Induced Senescence and Proliferative Dysfunction by Activating the AMPK-FOXO3 Cascade in Cultured Primary Human Keratinocytes

The aging process is perceived as resulting from a combination of intrinsic factors such as changes in intracellular signaling and extrinsic factors, most notably environmental stressors. In skin, the relationship between intrinsic changes and keratinocyte function is not clearly understood. Previously, we found that increasing the activity of AMP-activated protein kinase (AMPK) suppressed senescence in hydrogen peroxide (H2O2)-treated human primary keratinocytes, a model of oxidative stress-induced cellular aging. Using this model in the present study, we observed that resveratrol, an agent that increases the activities of both AMPK and sirtuins, ameliorated two age-associated phenotypes: cellular senescence and proliferative dysfunction. In addition, we found that treatment of keratinocytes with Ex527, a specific inhibitor of sirtuin 1 (SIRT1), attenuated the ability of resveratrol to suppress senescence. In keeping with the latter observation, we noted that compared to non-senescent keratinocytes, senescent cells lacked SIRT1. In addition to these effects on H2O2-induced senescence, resveratrol also prevented the H2O2-induced decrease in proliferation (as indicated by 3H-thymidine incorporation) in the presence of insulin. This effect was abrogated by inhibition of AMPK but not SIRT1. Compared to endothelium, we found that human keratinocytes expressed relatively high levels of Forkhead box O3 (FOXO3), a downstream target of both AMPK and SIRT1. Treatment of keratinocytes with resveratrol transactivated FOXO3 and increased the expression of its target genes including catalase. Resveratrol’s effects on both senescence and proliferation disappeared when FOXO3 was knocked down. Finally, we performed an exploratory study which showed that skin from humans over 50 years old had lower AMPK activity than skin from individuals under age 20. Collectively, these findings suggest that the effects of resveratrol on keratinocyte senescence and proliferation are regulated by the AMPK-FOXO3 pathway and in some situations, but not all, by SIRT1.
2-KNOTS WITH SOLVABLE GROUPS

We show that fibered 2-knots with closed fiber the Hantzsche–Wendt flat 3-manifold are not reflexive, while every fibered 2-knot with closed fiber a Nil-manifold with base orbifold S(3, 3, 3) is reflexive. We also determine when the knots are amphicheiral or invertible, and give explicit representatives for the possible meridians (up to automorphisms of the knot group which induce the identity on abelianization) for the groups of all knots in either class. This completes the TOP classification of 2-knots with torsion-free, elementary amenable knot group. In the final section, we show that the only non-trivial doubly null-concordant knots with such groups are those with the group of the 2-twist spin of the knot 946.
Communication-efficient sparse regression: a one-shot approach

We devise a one-shot approach to distributed sparse regression in the high-dimensional setting. The key idea is to average "debiased" or "desparsified" lasso estimators. We show the approach converges at the same rate as the lasso as long as the dataset is not split across too many machines. We also extend the approach to generalized linear models.
When are Static Superhedging Strategies Optimal?

This paper deals with the superhedging of derivatives and with the corresponding price bounds. A static superhedge results in trivial and fully nonparametric price bounds, which can be tightened if there exists a cheaper superhedge in the class of dynamic trading strategies. We focus on European path-independent claims and show under which conditions such an improvement is possible. For a stochastic volatility model with unbounded volatility, we show that a static superhedge is always optimal, and that, additionally, there may be infinitely many dynamic superhedges with the same initial capital. The trivial price bounds are thus the tightest ones. In a model with stochastic jumps or non-negative stochastic interest rates either a static or a dynamic superhedge is optimal. Finally, in a model with unbounded short rates, only a static superhedge is possible.
Simple Leaderless Consistency Protocol

With the emergence of cloud computing and the advances in virtualization technologies, our systems are increasingly shifting into a distributed deployment model within software defined clusters. Consistency protocols are employed to manage the distributed system state across the cluster. Such protocols are typically leader-based, where the leader can become a bottleneck that slows down the cluster and constitutes a single point of failure until the election of a new leader. In this paper, we overcome these limitations by proposing a simple leaderless consistency protocol. We demonstrate the efficiency of our protocol by benchmarking it against two de-facto open source implementations of existing consistency protocols.
Articulated pose estimation via over-parametrization and noise projection

We describe an algorithm to estimate the pose of a generic articulated object. Our algorithm takes as input a description of the object and a potentially incomplete series of observations; it outputs an on-line estimate of the object’s configuration. This task is challenging because: (1) the distribution of object states is often multi-modal; (2) the object is not assumed to be under our control, limiting our ability to predict its motion; and (3) rotational joints make the state space highly non-linear. The proposed method represents three principal contributions to address these challenges. First, we use a particle filter implementation which is unique in that it does not require a reliable state transition model. Instead, the method relies primarily on observations during particle proposal, using the state transition model only at singularities. Second, our particle filter formulation explicitly handles missing observations via a novel proposal mechanism. Although existing particle filters can handle missing observations, they do so only by relying on good state transition models. Finally, our method evaluates noise in the observation space, rather than state space. This reduces the variability in performance due to choice of parametrization, and effectively handles non-linearities caused by rotational joints. We compare our method to a baseline implementation without these techniques and demonstrate, for a fixed error, more than an order-of-magnitude reduction in the number of required particles, an increase in the number of effective particles, and an increase in frame rate. Source code for the method is available at http://rvsn.csail. mit.edu/articulated.
Media Coverage, Public Interest, and Support in the 2016 Republican Invisible Primary

Donald Trump’s success in the 2016 presidential primary election prompted scrutiny for the role of news media in elections. Was Trump successful because news media publicized his campaign and crowded out coverage of other candidates? We examine the dynamic relationships between media coverage, public interest, and support for candidates in the time preceding the 2016 Republican presidential primary to determine (1) whether media coverage drives support for candidates at the polls and (2) whether this relationship was different for Trump than for other candidates. We find for all candidates that the quantity of media coverage had significant and long-lasting effects on public interest in that candidate. Most candidates do not perform better in the polls following increases in media coverage. Trump is an exception to this finding, receiving a modest polling bump following an increase in media coverage. These findings suggest that viability cues from news media contributed to Trump’s success and can be influential in setting the stage in primary elections.
PD-Agent: A Flexible Agent BDI Model for Autonomic Computing

Aiming at challenging problem in building autonomic computing system, policy based management technology and intelligent agent technology was combined to build autonomic elements and autonomic computing system. Through importing policy into agent BDI model, a flexible agent model (PD-Agent) is built to satisfy the requirement of autonomic element. To solve logic omniscience problem and related problems of policy operator, defeasible logic is imported. Working mechanism of our proposed system illustrates that the new-type agents can construct autonomic computing system in a seamless way.