Miracle-dz/UniFAR-FTUs huggingface dataset:
On general distributed source coding of correlated Gaussian remote sources

This work considers a distributed source coding (DSC) problem where L encoders observe noisy linear combinations of K correlated remote Gaussian sources with K ≤ L, and separately transmit the compressed observations to the decoder to reconstruct the remote sources subject to a sum-distortion constraint. This DSC problem can be viewed as a generalization of the quadratic Gaussian CEO problem with only one remote source; it is also an extension of Oohama's latest work with correlated Gaussian remote sources, where the number of remote sources equals the number of observations. For our new DSC problem, we first provide general inner and outer rate regions, followed by a tighter outer rate region when the transform matrix between the sources and the encoders is semi-orthogonal. We then give a sufficient condition - in the form of capping the target distortion under certain threshold - for our inner and outer rate regions to match. When K = 1, both our inner and outer regions specialize to known result for the Gaussian CEO problem; with K = L and identity transform, our inner and outer regions degenerate to those provided by Oohama, however, our sufficient condition is more relaxed in the sense of allowing more matching cases.
Numerical Analysis of Time-Dependent Galbrun Equation in an Infinite Duct

In this paper we are interested in the mathematical and numerical analysis of the time-dependent Galbrun equa- tion in a rigid duct. This equation models the acoustic propagation in presence of flow [1]. We propose a regu- larized variational formulation of the problem, in the sub- sonic case, suitable for an approximation by Lagrange finite elements, and corresponding absorbing boundary conditions.
Solution of von-K arm an dynamic non-linear plate equations using a pseudo-spectral method

The von-K arm an non-linear, dynamic, partial differential system over rectangular domains is solved by the Chebyshev-collocation method in space and the implicit Newmark-b time marching scheme in time. In the Newmark-b scheme, a non-linear fixed point iteration algorithm is employed. We monitor both temporal and spatial discretization errors based on derived analytical solutions, demonstrating highly accurate approximations. We also quantify the influence of a common modeling assumption which neglects the in-plane inertia terms in the full von-K arm an system, demonstrating that it is justified. A comparison of our steadystate von-K arm an solutions to previous results in the literature and to a three-dimensional high-order finite element analysis is performed, showing an excellent agreement. Other modeling assumptions such as neglecting in-plane quadratic terms in the strain expressions are also addressed. 2003 Elsevier B.V. All rights reserved.
Sequestration by IFIT1 Impairs Translation of 2′O-unmethylated Capped RNA

Viruses that generate capped RNA lacking 2′O methylation on the first ribose are severely affected by the antiviral activity of Type I interferons. We used proteome-wide affinity purification coupled to mass spectrometry to identify human and mouse proteins specifically binding to capped RNA with different methylation states. This analysis, complemented with functional validation experiments, revealed that IFIT1 is the sole interferon-induced protein displaying higher affinity for unmethylated than for methylated capped RNA. IFIT1 tethers a species-specific protein complex consisting of other IFITs to RNA. Pulsed stable isotope labelling with amino acids in cell culture coupled to mass spectrometry as well as in vitro competition assays indicate that IFIT1 sequesters 2′O-unmethylated capped RNA and thereby impairs binding of eukaryotic translation initiation factors to 2′O-unmethylated RNA template, which results in inhibition of translation. The specificity of IFIT1 for 2′O-unmethylated RNA serves as potent antiviral mechanism against viruses lacking 2′O-methyltransferase activity and at the same time allows unperturbed progression of the antiviral program in infected cells.
Protistan Diversity in the Arctic: A Case of Paleoclimate Shaping Modern Biodiversity?

Background The impact of climate on biodiversity is indisputable. Climate changes over geological time must have significantly influenced the evolution of biodiversity, ultimately leading to its present pattern. Here we consider the paleoclimate data record, inferring that present-day hot and cold environments should contain, respectively, the largest and the smallest diversity of ancestral lineages of microbial eukaryotes. Methodology/Principal Findings We investigate this hypothesis by analyzing an original dataset of 18S rRNA gene sequences from Western Greenland in the Arctic, and data from the existing literature on 18S rRNA gene diversity in hydrothermal vent, temperate sediments, and anoxic water column communities. Unexpectedly, the community from the cold environment emerged as one of the richest observed to date in protistan species, and most diverse in ancestral lineages. Conclusions/Significance This pattern is consistent with natural selection sweeps on aerobic non-psychrophilic microbial eukaryotes repeatedly caused by low temperatures and global anoxia of snowball Earth conditions. It implies that cold refuges persisted through the periods of greenhouse conditions, which agrees with some, although not all, current views on the extent of the past global cooling and warming events. We therefore identify cold environments as promising targets for microbial discovery.
Automatically generating large urban environments based on the footprint data of buildings

This paper focuses on the generation of three dimensional models of large urban/suburban environments. Previous work on the reconstruction of particular environments is based on multiple overlapping aerial or street level images. Unfortunately these approaches do not extend well to large environments. The main reasons for this are that they require expensive high-resolution aerial images and a labour intensive modelling or data capture procedure. Consequently methods have been developed to generate large urban environments based on environmental data such as elevation data or building footprints. This permits the model to be based on actual data for the area being modelled and at a cost far less than that of aerial images. By reducing the data given to the model generation procedure various parameters are undetermined. These include roof style and textured appearance. This paper focuses on the use of building footprint information to construct a three dimensional model. It uses LIDAR data to give the buildings a height value and assigns them a roof using new techniques for roof modelling.
INDOOR LOCALIZATION WITH WIRELESS SENSOR NETWORKS

Wireless Sensor Networks (WSNs) have attracted a great deal of research interest during the last few years. Potential applications make them ideal for the development of the envisioned world of ubiquitous and pervasive computing. Localization is a key aspect of such networks, since the knowledge of a sensor's location is critical in order to process information originating from this sensor, or to actuate responses to the environment, or to infer regarding an emerging situation etc. Indoor localization in the literature is based on various techniques, ranging from simple Received-Signal-Strength (RSS) to the more demanding Time-of-Arrival (ToA) or Direction- of-Arrival (DoA) of the incoming signals. In the context of several EU research projects, various WSN platforms for indoor localization have been developed, evaluated and tested within real-world emergency medical services applications. These platforms were selected in order to deal with all principal localization techniques, namely RSSI, ToA and DoA. Deployment and real-world considerations are discussed, measurements results are presented and overall system evaluation conclusions are drawn regarding indoor localization capabilities of WSNs.
Myeloid Heme Oxygenase-1 Haploinsufficiency Reduces High Fat Diet-Induced Insulin Resistance by Affecting Adipose Macrophage Infiltration in Mice

Increased adipose tissue macrophages contribute to obesity-induced metabolic syndrome. Heme oxygenase-1 (HO-1) is a stress-inducible enzyme with potent anti-inflammatory and proangiogenic activities in macrophages. However, the role of macrophage HO-1 on obesity-induced adipose inflammation and metabolic syndrome remains unclear. Here we show that high-fat diet (HFD) feeding in C57BL/6J mice induced HO-1 expression in the visceral adipose tissue, particularly the stromal vascular fraction. When the irradiated C57BL/6J mice reconstituted with wild-type or HO-1+/− bone marrow were fed with HFD for over 24 weeks, the HO-1+/− chimeras were protected from HFD-induced insulin resistance and this was associated with reduced adipose macrophage infiltration and angiogenesis, suggesting that HO-1 affects myeloid cell migration toward adipose tissue during obesity. In vivo and in vitro migration assays revealed that HO-1+/− macrophages exhibited an impaired migration response. Chemoattractant-induced phosphorylation of p38 and focal adhesion kinase (FAK) declined faster in HO-1+/− macrophages. Further experiments demonstrated that carbon monoxide and bilirubin, the byproducts derived from heme degradation by HO-1, enhanced macrophage migration by increasing phosphorylation of p38 and FAK, respectively. These data disclose a novel role of hematopoietic cell HO-1 in promoting adipose macrophage infiltration and the development of insulin resistance during obesity.
Heterozygous Yeast Deletion Collection Screens Reveal Essential Targets of Hsp90

Hsp90 is an essential eukaryotic chaperone with a role in folding specific “client” proteins such as kinases and hormone receptors. Previously performed homozygous diploid yeast deletion collection screens uncovered broad requirements for Hsp90 in cellular transport and cell cycle progression. These screens also revealed that the requisite cellular functions of Hsp90 change with growth temperature. We present here for the first time the results of heterozygous deletion collection screens conducted at the hypothermic stress temperature of 15°C. Extensive bioinformatic analyses were performed on the resulting data in combination with data from homozygous and heterozygous screens previously conducted at normal (30°C) and hyperthermic stress (37°C) growth temperatures. Our resulting meta-analysis uncovered extensive connections between Hsp90 and (1) general transcription, (2) ribosome biogenesis and (3) GTP binding proteins. Predictions from bioinformatic analyses were tested experimentally, supporting a role for Hsp90 in ribosome stability. Importantly, the integrated analysis of the 15°C heterozygous deletion pool screen with previously conducted 30°C and 37°C screens allows for essential genetic targets of Hsp90 to emerge. Altogether, these novel contributions enable a more complete picture of essential Hsp90 functions.
PackageBLAST: an adaptive multi-policy grid service for biological sequence comparison

In this paper, we propose an adaptive task allocation framework to perform BLAST searches in a grid environment against sequence database segments. The framework, called PackageBLAST, provides an infrastructure to choose or incorporate task allocation strategies. Furthermore, we propose a mechanism to compute grid nodes execution weight, adapting the chosen allocation policy to the current computational power of the nodes. Our results present very good speedups and also show that no single allocation strategy is able to achieve the lowest execution times for all scenarios.
The Effects of Market Weights on Betas and Cost of Capital

This paper analyzing the case of Sinopec, we study the relationship of beta between market weight of the listed companies and the beta of the residual portfolio. The result shows that the market weight and the cost of capital changes in the same way. But the relation of the market weight and the beta of the residual portfolio changes in a reverse way. The market weights influence the beta, and lead to a reduction in estimates of the cost of capital for small cap firms.
Scale Normalization for the Distance Maps AAM

The active appearance models (AAM) are often used in man-machine interaction for their ability to align the faces. We propose a new normalization method for AAM based on distance map in order to strengthen their robustness to differences in illumination. Our normalization do not use the photometric normalization protocol classically used in AAM and is much more simpler to implement. Compared to distance map AAM performances of Le Gallou et al. (2006) and other AAM implementation which use CLAHE (Zuiderveld, 1994) normalization or gradient information, our proposition is at the same time much robust to illumination and AAM initialization. The tests have been drive in the context of generalization: 10 persons with frontal illumination from M2VTS database (Pigeon, 1996) were considered to build the AAM, and 17 persons under 21 different illuminations from CMU database (Sim et al., 2002) were used for the testing base
An Investigation Into Head Movements Made When Evaluating Various Attributes of Sound

This research extends the study of head movements during listening by including various listening tasks where the listeners evaluate spatial impression and timbre, in addition to the more common task of judging source location. Subjective tests were conducted in which the listeners were allowed to move their heads freely whilst listening to various types of sound and asked to evaluate source location, apparent source width, envelopment, and timbre. The head movements were recorded with a head tracker attached to the listener’s head. From the recorded data, the maximum range of movement, mean position and speed, and maximum speed were calculated along each axis of translational and rotational movement. The effects of various independent variables, such as the attribute being evaluated, the stimulus type, the number of repetition, and the simulated source location were examined through statistical analysis. The results showed that whilst there were differences between the head movements of individual subjects, across all listeners the range of movement was greatest when evaluating source width and envelopment, less when localising sources, and least when judging timbre. In addition, the range and speed of head movement was reduced for transient signals compared to longer musical or speech phrases. Finally, in most cases for the judgement of spatial attributes, head movement was in the direction of source direction.
Anatomical Coupling between Distinct Metacognitive Systems for Memory and Visual Perception

A recent study found that, across individuals, gray matter volume in the frontal polar region was correlated with visual metacognition capacity (i.e., how well one's confidence ratings distinguish between correct and incorrect judgments). A question arises as to whether the putative metacognitive mechanisms in this region are also used in other metacognitive tasks involving, for example, memory. A novel psychophysical measure allowed us to assess metacognitive efficiency separately in a visual and a memory task, while taking variations in basic task performance capacity into account. We found that, across individuals, metacognitive efficiencies positively correlated between the two tasks. However, voxel-based morphometry analysis revealed distinct brain structures for the two kinds of metacognition. Replicating a previous finding, variation in visual metacognitive efficiency was correlated with volume of frontal polar regions. However, variation in memory metacognitive efficiency was correlated with volume of the precuneus. There was also a weak correlation between visual metacognitive efficiency and precuneus volume, which may account for the behavioral correlation between visual and memory metacognition (i.e., the precuneus may contain common mechanisms for both types of metacognition). However, we also found that gray matter volumes of the frontal polar and precuneus regions themselves correlated across individuals, and a formal model comparison analysis suggested that this structural covariation was sufficient to account for the behavioral correlation of metacognition in the two tasks. These results highlight the importance of the precuneus in higher-order memory processing and suggest that there may be functionally distinct metacognitive systems in the human brain.
Design and Instantiation of Reference Architecture of Pluggable Service Platform in E-Commerce

In the beginning of e-commerce era, retailers introduced online channel mainly by adopting vertically integrated e-commerce solutions to gain control of all e-commerce functionalities. However, it is considered to be nearly impossible for a single platform to be the industry-leading expert in all the func-tionalities. If the functionalities are tightly coupled to the platform, the options for the retailer become severely limited. In addition, retailers began to realize that enterprise agility could be compromised. In order to maintain agility, it is advised to have a lightweight, modular, and flexible architecture with small core functionalities. Other functionalities then can be plugged-in to the platform through third party providers. With this approach, retailers gained the ability to customize the platform to meet their specific needs. Companies eventually started to shift from the monolithic and vertically integrated systems towards a collaborative network of partners within the value chain. In this type of ecosystem with diverse software systems and technology of the network partners, integration and interoperability become critical factors to enable information exchange and seamless coordination among the partners. Recent development in Information Technology field has also led to proliferation of new technologies such as cloud computing, mobile and social media. As a consequence of this situation, retailers are facing new integration challenges. Failure to cope with these challenges will eventually result in decrease in enterprise agility, which ultimately will have negative impact on overall business performance. Objective Thus, this research aims to design and develop a reference architecture of a novel pluggable service platform in e-commerce. This platform should be able to support seamless integration and coordination of e-commerce supply chain partners' diverse applications and services, which could include aforementioned emerging technologies (cloud computing, mobile, SaaS, social media) Methodology In this research, we use a research methodology called Design Science Research Methodology (DSRM). DSRM is about solving problems by introducing artifacts in a context. The artifact that we propose is a reference architecture for pluggable service platform in e-commerce. This methodology comprises of six stages which correspond with each chapters of this report. First, state-of-the art analysis will be performed to understand the currently available e-commerce web shop platform and integration platform solutions in the market. Based on the findings of the market analysis and motivated by literature study on service-orientation paradigm, the reference architecture will be designed. This proposed design will be then instantiated by means of a prototype for a …
Compensation of SBS using cross-phase modulation in WDM transmission system

Stimulated Brillouin Scattering (SBS) is one kind of fiber nonlinearities represent the fundamental limiting mechanisms to the amount of data that can be transmitted on a single optic fiber. To achieve high output power and high threshold power we compensate this SBS effect using Cross Phase Modulation (XPM). XPM. is one kind of non-linear phase modulation which occurs in Wave length Division Multiplexing (WDM) channel system. When light ray propagates through an optical fiber, spectral broadening is occurred due to the XPM effect. In this paper, we see the effect of spectral broadening due to the XPM and using this effect we compensate the SBS effect. From our the numerical simulation result, we have found that the improvement of broadening factor are 21.21 MHz, 23.68 MHz and 25.15 MHz respectively for number of two, three and for channels due to XPM effect.
Generating photo manipulation tutorials by demonstration

We present a demonstration-based system for automatically generating succinct step-by-step visual tutorials of photo manipulations. An author first demonstrates the manipulation using an instrumented version of GIMP that records all changes in interface and application state. From the example recording, our system automatically generates tutorials that illustrate the manipulation using images, text, and annotations. It leverages automated image labeling (recognition of facial features and outdoor scene structures in our implementation) to generate more precise text descriptions of many of the steps in the tutorials. A user study comparing our automatically generated tutorials to hand-designed tutorials and screen-capture video recordings finds that users are 20--44% faster and make 60--95% fewer errors using our tutorials. While our system focuses on tutorial generation, we also present some initial work on generating content-dependent macros that use image recognition to automatically transfer selection operations from the example image used in the demonstration to new target images. While our macros are limited to transferring selection operations we demonstrate automatic transfer of several common retouching techniques including eye recoloring, whitening teeth and sunset enhancement.