Miracle-dz/UniFAR-FTUs huggingface dataset:
Embryonic fat-cell lineage in Drosophila melanogaster.

The Drosophila adipose tissue, or fat body, and the bodywall muscle are two major tissues derived from the mesoderm. Although much is known about the lineage of muscle cells, little is known about the development of the fat body. Using known genes and an enhancer trap (29D), we have begun to trace the lineage of the cells comprising the fat body. The genes Adh (alcohol dehydrogenase) and DCg1 (type IV collagen) code for gene products involved in fat-cell metabolism and therefore serve as terminal fat-cell differentiation markers. The expression of these genes was used to identify the fat body at stage 17 and to identify the start of terminal fat-cell differentiation at stage 15. We found that the steroid-hormone receptor gene, svp (seven-up), was expressed transiently within the fat-cell lineage from stages 12 to 14. We suggest that stage 12 marks the beginning of early fat-cell differentiation and that the svp-positive cells within the mesoderm are early precursor fat cells. To confirm the identity of these cells and to establish the role of svp in the developing fat cell, we examined svp mutant embryos for alterations in the expression of the two terminal fat-cell differentiation markers, Adh and DCg1. Loss of svp function resulted in the loss of Adh transcript and a reduction of DCg1 expression specifically in the fat body. Thus, svp plays a role in fat-body-specific expression of at least two terminal fat-cell differentiation genes. In contrast to svp, we found no evidence that the steroid receptor HNF-4(D) gene was expressed in the fat body nor that it was involved in the development of this tissue. Using an enhancer-trap line (29D), we further traced the fat-cell lineage to nine bilateral clusters of cells within the mesoderm at germ-band extension. We suggest these 29D-positive cells represent the progenitor fat cells. In stage-12 embryos, the 29D-positive cell clusters can be identified within the mesoderm internal to nautilus-expressing cells. These data suggest that the precursor fat cells may be derived from the inner mesoderm, or spanchnopleura. Embryos deficient for the DNA region surrounding the site of the 29D enhancer trap lack most, if not all, of the cells in the fat-cell lineage. These embryos exhibit the loss of svp-positive precursor fat cells and concomitant loss of fat-body-specific expression of Adh and DCg1. (ABSTRACT TRUNCATED AT 400 WORDS)
Politics and Society in Italian Crime Fiction: An Historical Overview

This book comprehensively covers the history of Italian crime fiction from its origins to the present. Using the concept of "moral rebellion," the author examines the ways in which Italian crime fiction has articulated the country's social and political changes. The book concentrates on such writers as Augusto de Angelis (1888-1944), Giorgio Scerbanenco (1911-1969), Leonardo Sciascia (1921-1989), Andrea Camilleri (b. 1925), Loriano Macchiavelli (b. 1934), Massimo Carlotto (b. 1956), and Marcello Fois (b. 1960). Through the analysis of writers belonging to differing crucial periods of Italy's history, this work reveals the many ways in which authors exploit the genre to reflect social transformation and dysfunction.
A multivariate approach to heavy flavour tagging with cascade training

This paper compares the performance of artificial neural networks and boosted decision trees, with and without cascade training, for tagging b-jets in a collider experiment. It is shown, using a Monte Carlo simulation of WH→lνqq̄ events, that for a b-tagging efficiency of 50%, the light jet rejection power given by boosted decision trees without cascade training is about 55% higher than that given by artificial neural networks. The cascade training technique can improve the performance of boosted decision trees and artificial neural networks at this b-tagging efficiency level by about 35% and 80% respectively. We conclude that the cascade trained boosted decision trees method is the most promising technique for tagging heavy flavours at collider experiments.
Frequent but Accurate: A Closer Look at Uncertainty and Opinion Divergence in Climate Change Print News

ABSTRACT The prevalence of uncertainty and opinion divergence frames in climate change news reporting has generated concerns about the misrepresentation of scientific consensus. We first develop reliable, valid, and more nuanced measures of often-conflated types of uncertainty and opinion divergence frames. Then we analyse the co-occurrence combinations of those distinct types of opinions, sources, and topics in mainstream climate change news stories between 2005 and 2015. Results indicate that while uncertainty and opinion divergence frames are indeed frequent, once clearly distinguished, they in general accurately reference non-scientist sources (e.g. government officials) and topics that do not have a scientific consensus (e.g. the severity of climate change effects).
Anycasting in connection-oriented computer networks: Models, algorithms and results

Anycasting in connection-oriented computer networks: Models, algorithms and results Our discussion in this article centers around various issues related to the use of anycasting in connection-oriented computer networks. Anycast is defined as a one-to-one-of-many transmission to deliver a packet to one of many hosts. Anycasting can be applied if the same content is replicated over many locations in the network. Examples of network techniques that apply anycasting are Content Delivery Networks (CDNs), Domain Name Service (DNS), Peer-to-Peer (P2P) systems. The role of anycasting is growing concurrently with the popularity of electronic music, movies, and other content required by Internet users. In this work we focus on the optimization of anycast flows in connection-oriented networks. We formulate a model of anycast connections and next propose a heuristic algorithm based on the Lagrangean relaxation aimed to optimize jointly routes for anycast and unicast connections. Results of numerical experiments are presented and evaluated. Finally, we analyze briefly problems related to anycasting in dynamic routing and multi-layer networks.
Counting BPS baryonic operators in CFTs with Sasaki-Einstein duals

We study supersymmetric D3 brane configurations wrapping internal cycles of type II backgrounds AdS5 × H for a generic Sasaki-Einstein manifold H. These configurations correspond to BPS baryonic operators in the dual quiver gauge theory. In each sector with given baryonic charge, we write explicit partition functions counting all the BPS operators according to their flavor and R-charge. We also show how to extract geometrical information about H from the partition functions; in particular, we give general formulae for computing volumes of three cycles in H.
Visualizing Wikipedia using t-SNE

This paper presents an approach on visualizing high-dimensional data of Wikipedia. Visualizing data is an important and well studied problem. Visualizing highdimensional data can viewed as a dimensionality reduction problem. Over the past few decades many techniques have been proposed for linear and nonlinear dimensionality reduction. In this paper we use one such non-linear dimensionality reduction technique called tDistributed Stochastic Neighbor Embedding and specifically the version using Barnes-Hut algorithm for approximation. We also show that using semantic role labels as features for dimensionality reduction, we are able to visualize well clustered data with clusters containing similar data.
Event-based distributed ellipsoidal estimation with incomplete information transmission

This paper addresses a novel distributed ellipsoidal estimation with the event-based mechanism and the incomplete information scheme for a class of discrete time-varying system under unknown-but-bounded noises. In this paper, an event-based mechanism is designed to transmit only the necessary data in order to reduce the transmission frequency of the communication network, and an incomplete information transmission scheme is introduced to further reduce the flow of the transmitted information by releasing only parts of the data packet to the communication network at each event-triggered instant. Under such circumstances, two convex optimization approaches are provided to derive the conditions on the existence of local and global ellipsoidal estimations respectively and to produce the estimated ellipsoidal sets. Simulation results demonstrate the feasibility and the effectiveness of the proposed methods.
Development and Application of a Product Model for Shield Tunnels

Building Information Modeling is a prevailing methodology in the building industry and half (by length) of the world's shield tunnels are in Japan. Accordingly, for shield tunnels from 2005 to 2007, we developed a product model called IFC-ShieldTunnel, which is based on Industry Foundation Classes (IFC), in order to meet the future demand for such a product model. IFC-ShieldTunnel was developed by adding new elements that are specific to shield tunnels and that are not included in the original IFC. The added elements include shafts, segments (A, B, and K types), waterproofing elements, segment joint elements, and ring joint elements. Furthermore, soil layers and void elements were created. Recently, we updated the product model by re-organizing the entities and correcting errors. We deployed the updated IFCShieldTunnel model in the construction of an actual shield tunnel in Tokyo for about a year from August 2010 in order to check its feasibility. In the verification process, first, segments were modeled using Autodesk Revit Structure 2011 and property data were assigned to each segment element. Next, a mapping between the original attributes of the entities of IFC and properties of IFC-ShieldTunnel segments was developed. Using this mapping and IFC’s IfcBuildingElementProxy function, we were able to convert the IFC data from Revit Structure 2011 to IFC-ShieldTunnel automatically. Segment data were also converted from Revit Structure to Google SketchUp by IFC-ShieldTunnel. Furthermore, the construction scheduling and cost data were converted from Revit Structure to EXCEL for 4D and 5D analyses of construction. We interviewed engineers who used IFC-ShieldTunnel and received positive comments about the utilization of the product model. Overall, our test demonstrated the feasibility of IFC-ShieldTunnel. In future work, we plan to apply IFC-ShieldTunnel to more projects and test its practicality.
Query by string word spotting based on character bi-gram indexing

In this paper we propose a segmentation-free query by string word spotting method. Both the documents and query strings are encoded using a recently proposed word representation that projects images and strings into a common attribute space based on a Pyramidal Histogram of Characters (PHOC). These attribute models are learned using linear SVMs over the Fisher Vector [8] representation of the images along with the PHOC labels of the corresponding strings. In order to search through the whole page, document regions are indexed per character bi-gram using a similar attribute representation. On top of that, we propose an integral image representation of the document using a simplified version of the attribute model for efficient computation. Finally we introduce a re-ranking step in order to boost retrieval performance. We show state-of-the-art results for segmentation-free query by string word spotting in single-writer and multi-writer standard datasets.
Role of MLK3 in the Regulation of Mitogen-Activated Protein Kinase Signaling Cascades

ABSTRACT Mixed-lineage protein kinase 3 (MLK3) is a member of the mitogen-activated protein (MAP) kinase kinase kinase group that has been implicated in multiple signaling cascades, including the NF-κB pathway and the extracellular signal-regulated kinase, c-Jun NH2-terminal kinase (JNK), and p38 MAP kinase pathways. Here, we examined the effect of targeted disruption of the murine Mlk3 gene. Mlk3 −/− mice were found to be viable and healthy. Primary embryonic fibroblasts prepared from these mice exhibited no major signaling defects. However, we did find that MLK3 deficiency caused a selective reduction in tumor necrosis factor (TNF)-stimulated JNK activation. Together, these data demonstrate that MLK3 contributes to the TNF signaling pathway that activates JNK.
Run-time detection of covert channels

The authors are interested in the characterization of policies which are enforced by execution monitoring mechanisms with an extra structure that is an extension of Schneider's enforcement mechanism. This paper is a starting point for continuing in this area. We use an emulator as the extra structure, which emulates the behavior of a system by running a subsequence from an interleaved state sequence of processes, in order to detect several covert channels at run time. We then define a security automaton for this extended mechanism and show a class of properties which is enforced by the security automaton. Further, our mechanism can enforce information flow policies, which are specified by system developers, under an information flow property to be defined for the aim of this study. We show that the information flow property include O'Halloran's noninference. In the last of this paper, we give a simple example for the policy and an outline of our mechanism.
Medical Homes for Children With Autism: A Physician Survey

BACKGROUND. Primary care physicians can enhance the health and quality of life of children with autism by providing high-quality and comprehensive primary care. OBJECTIVE. To explore physicians’ perspectives on primary care for children with autism. METHODS. National mail and e-mail surveys were sent to a random sample of 2325 general pediatricians and 775 family physicians from April 2007 to October 2007. RESULTS. The response rate was 19%. Physicians reported significantly lower overall self-perceived competency, a greater need for primary care improvement, and a greater desire for education for children with autism compared with both children with other neurodevelopmental conditions and those with chronic/complex medical conditions. The following barriers to providing primary care were endorsed as greater for children with autism: lack of care coordination, reimbursement and physician education, family skeptical of traditional medicine and vaccines, and patients using complementary alternative medicine. Adjusting for key demographic variables, predictors of both higher perceived autism competency and encouraging an empirically supported therapy, applied behavior analysis, included having a greater number of autism patient visits, having a friend or relative with autism, and previous training about autism. CONCLUSIONS. Primary care physicians report a lack of self-perceived competency, a desire for education, and a need for improvement in primary care for children with autism. Physician education is needed to improve primary care for children with autism. Practice parameters and models of care should address physician-reported barriers to care.
Annotating and navigating tourist videos

Due to the rapid increase in video capture technology, more and more tourist videos are captured every day, creating a challenge for organization and association with metadata. In this paper, we present a novel system for annotating and navigating tourist videos. Placing annotations in a video is difficult because of the need to track the movement of the camera. Navigation of a regular video is also challenging due to the sequential nature of the media. To overcome these challenges, we introduce a system for registering videos to geo-referenced 3D models and analyzing the video contents. We also introduce a novel scheduling algorithm for showing annotations in video. We show results in automatically annotated videos and in a map-based application for browsing videos. Our user study indicates the system is very useful.
Local Injection of Deferoxamine Improves Neovascularization in Ischemic Diabetic Random Flap by Increasing HIF-1α and VEGF Expression

Background Although the systemic administration of deferoxamine (DFO) is protective in experimental models of normal ischemic flap and diabetic wound, its effect on diabetic flap ischemia using a local injection remains unknown. Objective To explore the feasibility of local injection of DFO to improve the survival of ischemic random skin flaps in streptozotocin (STZ)-induced diabetic mice. Methods Ischemic random skin flaps were made in 125 mice. Animals were divided into the DFO-treated (n = 20), PBS-treated (n = 16) and untreated (n = 16) groups. Surviving area, vessel density, and expression of vascular endothelial growth factor (VEGF) and hypoxia-inducible factor-1α (HIF-1α) were evaluated on the seventh day after local injection. Results The viability of DFO-treated flap was significantly enhanced, with increased regional blood perfusion and capillary density compared with those in the two control groups. Fluorescence-activated cell sorting (FACS) analysis demonstrated a marked increase in systemic Flk-1+/CD11b− endothelial progenitor cells (EPCs) in DFO-treated mice. Furthermore, the expression of VEGF and HIF-1α was increased not only in diabetic flap tissue, but also in dermal fibroblasts cultured under hyperglycemic and hypoxic conditions. Conclusions Local injection of DFO could exert preventive effects against skin flap necrosis in STZ-induced diabetic mice by elevating the expression of HIF-1α and VEGF, increased EPC mobilization, which all contributed to promote ischemic diabetic flap survival.
Add-Remove-Confirm: Crowdsourcing synset cleansing

Thesaurus is a crucial resource for many natural language processing and artificial intelligence problems, which require common sense reasoning. It is becoming highly topical to put special effort to ensure the high quality of synsets when a thesaurus is created collaboratively by non-expert annotators. This paper proposes Add-Remove-Confirm, a novel workflow for crowdsourcing synset cleansing. The present workflow has been empirically evaluated using a Russian thesaurus created through crowdsourcing showing that it does improve the synset quality as according to the expert assessment with high level of agreement.
Multi-Objective Single-Stage SPV System Integrated to 3P4W Distribution Network Using DMSI-Based Control Technique

This paper proposes a multiobjective solar photovoltaic (SPV) system integrated to a three-phase four wire (3P4W) distribution network by using a digital multistage interpolation (DMSI)-based technique. In addition to the power exchange from SPV array to the 3P4W grid, a four-leg voltage source converter (VSC) is used as a power conditioning unit; therefore, it is named a multiobjective SPV system. For good utilization of SPV array, it is necessary to harvest peak power from SPV string. To fulfill this objective, a perturb and observe-based maximum power point tracking control is used. However, to control the grid integrated VSC, a DMSI-based control technique is presented. The technique is utilized for mitigation of grid neutral current, load harmonics currents, power factor improvement, and grid currents balancing. The incorporation of SPV feed forward loop in control loop minimizes the dependency on proportional integrator controller, and also good dynamic behavior is recorded because of load and climate changes. The operation and control of system topology are validated experimentally under various scenarios.
Utilizing project-based learning to increase sustainability attitudes among students

ABSTRACT Sustainability-related learning objectives in university curricula are becoming increasingly popular. While knowledge gain is usually a prevalent metric of success, this study assessed whether a project-based learning assignment could lead to attitudinal shifts in students regarding sustainability. After performing both primary (distributing/analyzing surveys, in-depth interviews) and secondary research, students constructed strategic communication campaign plans the campus sustainability client could implement. Students' (n = 28) attitudes toward sustainability (e.g., severity, susceptibility, self-efficacy, response-efficacy) were measured the first and last day of class. Analyses revealed significant positive shifts in all attitudes measured after project completion. Recommendations in implementing project-based learning activities are discussed.
Overview and performance comparison of grid synchronization algorithms

Distributed power generation units are experiencing an impressive growth. Consequently, the amount of energy injected by non-linear loads as power converters is expected to increase. Stability and quality of the overall grid are heavily affected by performances of grid-side converters. In this paper, an overview of grid-synchronization technique is proposed. The grid-side inverter is implemented in MATLAB/Simulink® environment including current control and grid-synchronization section. Both Synchronous Reference Frame (SRF) and Decoupled Double Synchronous Reference Frame (DDSRF) PLL algorithms are implemented. A performance comparison is carried out under ideal and unbalanced utility conditions. A modify of DDSRF architecture is proposed to enhance performances of DDSRF under distorted conditions. Simulation results are shown and discussed.
GLEAM: The GaLactic and Extragalactic All-Sky MWA Survey

Abstract GLEAM, the GaLactic and Extragalactic All-sky MWA survey, is a survey of the entire radio sky south of declination + 25° at frequencies between 72 and 231 MHz, made with the MWA using a drift scan method that makes efficient use of the MWA’s very large field-of-view. We present the observation details, imaging strategies, and theoretical sensitivity for GLEAM. The survey ran for two years, the first year using 40-kHz frequency resolution and 0.5-s time resolution; the second year using 10-kHz frequency resolution and 2 s time resolution. The resulting image resolution and sensitivity depends on observing frequency, sky pointing, and image weighting scheme. At 154 MHz, the image resolution is approximately 2.5 × 2.2/cos (δ + 26.7°) arcmin with sensitivity to structures up to ~ 10° in angular size. We provide tables to calculate the expected thermal noise for GLEAM mosaics depending on pointing and frequency and discuss limitations to achieving theoretical noise in Stokes I images. We discuss challenges, and their solutions, that arise for GLEAM including ionospheric effects on source positions and linearly polarised emission, and the instrumental polarisation effects inherent to the MWA’s primary beam.
On the distribution of the largest eigenvalue in principal components analysis

Let x (1) denote the square of the largest singular value of an n x p matrix X, all of whose entries are independent standard Gaussian variates. Equivalently, x (1) is the largest principal component variance of the covariance matrix X'X, or the largest eigenvalue of a p-variate Wishart distribution on n degrees of freedom with identity covariance. Consider the limit of large p and n with n/p = y ≥ 1. When centered by μ p = (√n-1 + √p) 2 and scaled by σ p = (√n-1 + √p)(1/√n-1 + 1/√p) 1/3 , the distribution of x (1) approaches the Tracy-Widom law of order 1, which is defined in terms of the Painleve II differential equation and can be numerically evaluated and tabulated in software. Simulations show the approximation to be informative for n and p as small as 5. The limit is derived via a corresponding result for complex Wishart matrices using methods from random matrix theory. The result suggests that some aspects of large p multivariate distribution theory may be easier to apply in practice than their fixed p counterparts.