Miracle-dz/UniFAR-FTUs huggingface dataset:
Tumor Cells Present MHC Class II-Restricted Nuclear and Mitochondrial Antigens and Are the Predominant Antigen Presenting Cells In Vivo1

MHC class II-restricted tumor Ags presented by class II+ tumor cells identified to date are derived from proteins expressed in the cytoplasm or plasma membrane of tumor cells. It is unclear whether MHC class II+ tumor cells present class II-restricted epitopes derived from other intracellular compartments, such as nuclei and/or mitochondria, and whether class II+ tumor cells directly present Ag in vivo. To address these questions, a model Ag, hen egg lysozyme, was targeted to various subcellular compartments of mouse sarcoma cells, and the resulting cells were tested for presentation of three lysozyme epitopes in vitro and for presentation of nuclear Ag in vivo. In in vitro studies, Ags localized to all tested compartments (nuclei, cytoplasm, mitochondria, and endoplasmic reticulum) are presented in the absence invariant chain and H-2M. Coexpression of invariant chain and H-2M inhibit presentation of some, but not all, of the epitopes. In vivo studies demonstrate that class II+ tumor cells, and not host-derived cells, are the predominant APC for class II-restricted nuclear Ags. Because class II+ tumor cells are effective APC in vivo and probably present novel tumor Ag epitopes not presented by host-derived APC, their inclusion in cancer vaccines may enhance activation of tumor-reactive CD4+ T cells.
Managing Network Troubles while Interacting within Collaborative Virtual Environments

We are interested in real time collaborative interactions within Collaborative Virtual Environments (CVE). This domain relies on the low latency offered by high speed networks. Participants of networked collaborative virtual environments can suffer from misunderstanding weird behavior of some objects of the virtual universe, especially when low level network troubles occur during a collaborative session. Our aim is to make such a virtual world easier to understand by using some graphic visualizations (dedicated 3D metaphors) in such a way that the users become aware of these problems and can go on working even during these troubles. In this paper we present how two independent mechanisms may be coupled together for a better management and awareness of network troubles while interacting within a networked collaborative virtual environment. The first mechanism is an awareness system that visualizes, through the use of special metaphors, the existence of a network trouble as strong delay or disconnection. The second mechanism is a virtual object migration system that allows the migration of an object from one site to another to ensure a non interrupted manipulation in case of network troubles.We will detail only this awareness system and we will show how it uses the migration system to allow users to go on interacting while network breakdowns occur.
Co-regulation of fast contractile protein transgene and glycolytic enzyme expression in mouse skeletal muscle

Little is known of the gene regulatory mechanisms that coordinate the contractile and metabolic specializations of skeletal muscle fibers. Here we report a novel connection between fast isoform contractile protein transgene and glycolytic enzyme expression. In quantitative histochemical studies of transgenic mouse muscle fibers, we found extensive co-regulation of the glycolytic enzyme glycerol 3-phosphate dehydrogenase (GPDH) and transgene constructs based on the fast skeletal muscle troponin I (TnIfast) gene. In addition to a common IIB>IIX>IIA fiber type pattern, TnIfast transgenes and GPDH showed correlated fiber-to-fiber variation within each fast fiber type, concerted emergence of high-level expression during early postnatal muscle maturation, and parallel responses to muscle underor over-loading. Regulatory information for GPDH-co-regulated expression is carried by the TnIfast first-intron enhancer (IRE). These results identify an unexpected contractile/metabolic gene regulatory link that is amenable to further molecular characterization. They also raise the possibility that the equal expression in all fast fiber types observed for the endogenous TnIfast gene may be driven by different metabolically-coordinated mechanisms in glycolytic (IIB) versus oxidative (IIA) fast fibers.
Energy Efficient Scheduling for Cluster-Tree Wireless Sensor Networks With Time-Bounded Data Flows: Application to IEEE 802.15.4/ZigBee

Cluster scheduling and collision avoidance are crucial issues in large-scale cluster-tree Wireless Sensor Networks (WSNs). This paper presents a methodology that provides a Time-Division Cluster Scheduling (TDCS) mechanism based on the cyclic extension of Resource Constrained Project Scheduling with Temporal Constraints (RCPS/TC) problem for a cluster-tree WSN, assuming bounded communication errors. The objective is to meet all end-to-end deadlines of a predefined set of time-bounded data flows while minimizing the energy consumption of the nodes by setting the TDCS period as long as possible. Since each cluster is active only once during the period, the end-to-end delay of a given flow may span over several periods when there are the flows with opposite direction. The scheduling tool enables system designers to efficiently configure all required parameters of the IEEE 802.15. 4/ZigBee beacon-enabled cluster-tree WSNs in the network design time. The performance evaluation of the scheduling tool shows that the problems with dozens of nodes can be solved while using optimal solvers.
Foods, Fortificants, and Supplements: Where Do Americans Get Their Nutrients?

Limited data are available on the source of usual nutrient intakes in the United States. This analysis aimed to assess contributions of micronutrients to usual intakes derived from all sources (naturally occurring, fortified and enriched, and dietary supplements) and to compare usual intakes to the Dietary Reference Intake for U.S. residents aged ≥2 y according to NHANES 2003–2006 (n = 16,110). We used the National Cancer Institute method to assess usual intakes of 19 micronutrients by source. Only a small percentage of the population had total usual intakes (from dietary intakes and supplements) below the estimated average requirement (EAR) for the following: vitamin B-6 (8%), folate (8%), zinc (8%), thiamin, riboflavin, niacin, vitamin B-12, phosphorus, iron, copper, and selenium (<6% for all). However, more of the population had total usual intakes below the EAR for vitamins A, C, D, and E (34, 25, 70, and 60%, respectively), calcium (38%), and magnesium (45%). Only 3 and 35% had total usual intakes of potassium and vitamin K, respectively, greater than the adequate intake. Enrichment and/or fortification largely contributed to intakes of vitamins A, C, and D, thiamin, iron, and folate. Dietary supplements further reduced the percentage of the population consuming less than the EAR for all nutrients. The percentage of the population with total intakes greater than the tolerable upper intake level (UL) was very low for most nutrients, whereas 10.3 and 8.4% of the population had intakes greater than the UL for niacin and zinc, respectively. Without enrichment and/or fortification and supplementation, many Americans did not achieve the recommended micronutrient intake levels set forth in the Dietary Reference Intake.
Detection of epithelial messenger RNA in the plasma of breast cancer patients is associated with poor prognosis tumor characteristics.

PURPOSE Free plasma RNA has been scarcely studied in patients with cancer. Here we examine the presence of RNA from epithelial tumors in plasma from a series of breast cancer patients and its correlation with tumor characteristics and circulating tumor cells. EXPERIMENTAL DESIGN beta-actin mRNA was analyzed to check the viability of plasma RNA in samples from 45 patients with breast cancer and 25 controls. Nested primers were used to detect the presence of cytokeratin 19 (CK19) and Mammaglobin in the same samples. Eleven clinicopathological parameters were studied and correlated with molecular parameters. Additionally, we looked for circulating tumor cells in 16 of these patients and in 10 of the controls. RESULTS All samples showed detectable quantities of beta-actin RNA. In controls, 3 cases (12%) were positive for Mammaglobin, and 5 (20%) were positive for CK19 RNA; of the 45 patients, 27 cases (60%) were positive for Mammaglobin, and 22 (49%) were positive for CK19. These differences were statistically significant (P = 0.001). Tumor size (P = 0.01) and proliferative index (P = 0.02) were associated with the presence of Mammaglobin, CK19, or both RNAs in plasma. Pathological stage (P = 0.06) was close to significance. Although a statistical relationship was not demonstrated, 9 of the 10 patients with circulating tumor cells showed epithelial mRNAs in plasma. CONCLUSIONS We conclude that epithelial tumor RNA is detectable in plasma from breast cancer patients and that this finding is associated with a probable poor prognosis and circulating tumor cells.
Modeling open source software bugs with complex networks

A major concern in open source software development is regarding bugs emerging during the life circle of a software project. Understanding the topological characteristics of interrelated bugs can provide useful insights into software project management and potentially facilitate the development of new complex network models. In this paper, we analyze the bug network in Gentoo Linux, one of the most popular Linux distributions. We model software bugs as nodes and the blocking relationships among them as edges. As the resulting Gentoo bug network cannot be adequately explained by some commonly-used complex network models, we propose a new model, which can better explain this network.
Fast weak-KAM integrators

We consider a numerical scheme for Hamilton-Jacobi equations based on a direct discretization of the Lax-Oleinik semi-group. We prove that this method is convergent with respect to the time and space stepsizes provided the solution is Lipschitz, and give an error estimate. Moreover, we prove that the numerical scheme is a geometric integrator satisfying a discrete weak-KAM theorem which allows to control its long time behavior. Taking advantage of a fast algorithm for computing min-plus convolutions based on the decomposition of the function into concave and convex parts, we show that the numerical scheme can be implemented in a very efficient way.
A switched-capacitor programmable-gain amplifier for high-definition video analog front-ends

A switched-capacitor programmable gain amplifier (PGA) for high-definition video analog front-ends (AFEs) is presented. The PGA also acts as the sample and holder of the ADC to reduce the power consumption and chip area of the whole AFE. The 9-bit gain and offset control DACs are embedded into the switched capacitor networks of the PGA. Simulated results show that the PGA achieves a gain range of 0.9 to 2.4V/V, and an offset control range of -230 to 230mV while consuming 10.1mA from a 1.8V power supply. An AFE based on the proposed PGA is fabricated in TSMC 0. 18μm process. Measurement results show that the AFE achieves the capability to process variant HDTV signals up to 1080p YPbPr and computer video signals up to UXGA (1600×1200 @75Hz).
Poster: privacy-preserving profile similarity computation in online social networks

Currently, none of the existing online social networks (OSNs) enables its users to make new friends without revealing their private information. This leaves the users in a vulnerable position when searching for new friends. We propose a solution which enables a user to compute her profile similarity with another user in a privacy-preserving way. Our solution is designed for a realistic OSN environment, where a pair of users is unlikely to be online at the same time.
Large Space Fire Detection in Laboratory-scale Based on Color Image Segmentation

Vision based fire detection is potentially a useful technique in large space building. Continuous images are taken from the digital color CCD (charge coupled device) camera. Then the images are processed with an fire detection scheme to determine whether a fire occurs in the vision field. Segmentation of fire from the background requires processing of color image. Once a fire is detected, it will be automatically located, the fire region was calculated. The experiment was conducted in a laboratory-scale large space. The results show that the color image segment approach was able to detect dangerous flames.
Lessons From the Diabetes Control and Complications Trial

On 13 June 1993, the results of the Diabetes Control and Complications Trial were announced during the annual scientific meeting of the American Diabetes Association in Las Vegas, Nevada. After more than a decade of careful planning, much hard work, and perseverance, the results were both clear and dramatic. Intensively managed 13:o 39-yr-old IDDM patients maintained (for 4-9 yr at ~50 g/dl [2.8 mM]) lower mean blood glucose levels than irly well controlled, conventionally treated patients and hacrf a substantial reduction in the development or progression of retinopathy, nephropathy, and neuropathy as well as a likely reduction in macrovascular complications of diabetes. These benefits outweighed a threefold increase in the risk of severe hypoglycemia and modest excess weight gain observed in intensively managed patients. As Dr. Oscar Crofford informed the patient volunteers several days before the public announcement of the main DCCT results, the early termination of the trial was only the "end of the beginning. " The study describing the main DCCT results has been published (1). More detailed results of the ocular, renal, neurological, and macrovascular aspects of the trial, and additional reports on treatment implementation, quality of life, neurobehavioral effects, pregnancy, adolescent control, and other
A Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling

Many computer vision and pattern recognition problems involve the use of finite Gaussian mixture models. Finite mixture model using generalized Dirichlet distribution has been shown as a robust alternative of normal mixtures. In this paper, we adopt a Bayesian approach for generalized Dirichlet mixture estimation and selection. This approach, offers a solid theoretical framework for combining both the statistical model learning and the knowledge acquisition. The estimation of the parameters is based on the Monte Carlo simulation technique of Gibbs sampling mixed with a Metropolis-Hastings step. For the selection of the number of clusters, we used Bayes factors. We have successfully applied the proposed Bayesian framework to model IR eyes. Experimental results are shown to demonstrate the robustness, efficiency, and accuracy of the algorithm.
Discovering Massive High-Value Users from Sina Weibo Based on Quality and Activity

This paper proposes a method to discover the high-value users who are both high-quality and high-activity. First, a Trust Transfer Model is introduced to capture users with high-quality in Sina Weibo that is a social web in China. Then, analysis and discussion are shown to identify the users are high-quality. Next, fresh users who are busy reposting are captured into the dataset filled with the high-quality users. Considering that reposting stands for the high-activity, hence the four degrees including reposting are proposed to judge one user's quality and activity. We discuss the effects of the four degrees. And then, the method called "WeiboRank" based on the four degrees is proposed to mine the high-value users. Finally, testing for the degree of coverage based on the "Top10 Hot Microblog" in Weibo presents a relatively high credibility of our dataset. The evaluation indicates that the users mined in this paper are quite high-quality and high-value. In conclusion, we will continue efforts to discover the high-value users in microblog and believe that discovering and maintaining a dataset filled with the high-value users which is not too big is quite significant for both academic research and business applications.
Global Robust Output Regulation of Nonlinear Systems subject to a Nonlinear Exosystem

Abstract The global robust output regulation problem for nonlinear plants subject to nonlinear exosystems has been a challenging problem and has not been well addressed. The main difficulty lies in finding a suitable internal model. In this paper, we first propose a new class of internal models which is guaranteed to exist under the generalized immersion condition [2]. An advantage of this internal model is that it is zero input globally asymptotically stable. This fact will facilitate the global stabilization of the augmented system associated with the given plant and the internal model. Then we will further utilize this class of internal models to solve the global robust output regulation problem for output feedback systems with a nonlinear exosystem.
Principles, Privilege and Powerlessness in the Edwardian Prize Book: Bridging the Gap Between Two Opposing Worlds

Abstract:In a world of mobile phones and tablets it is hard to imagine the joy that children once felt when presented with a book as a prize by the head teacher or the vicar of their church. By 1901, awarding books as prizes had become standard practice for most schools in Edwardian England. But how were these books viewed by recipients? Were their contents read over and over again or were they placed on the shelf as attractive editions? Were readers aware of their explicit pedagogy? This article unravels these and other questions by tracking the role of the prize book as an institutionalized object. Through an exploration of its content and prize inscription, we can gain a unique insight into Edwardian culture and society and examine the perpetual line that the prize book treads between privilege and powerlessness.
GPS measurement model with satellite visibility using 3D map for particle filter

This paper proposes a localization method using Global Positioning System(GPS) with multi-path estimation which uses 3D environment maps. Multi-path is one of the problems upon using the GPS for localization. GPS satellite visibility is one of the solutions to detect multi-path error. The challenge of the paper is to use pre-measured 3D environment map to check the satellite visibility. In order to compute the satellite visibility using 3D maps, the GPS receiver position is necessary, which is contradicted requirements to localization. The proposed method solves the problem by using particle filter. In this paper, This paper describes the GPS measurement model with satellite visibility using 3D maps, speeding up the satellite visibility check using GPS shadow maps, and experimental results in outdoor environment with multipath data.
Cutaneous responsiveness in primary somatosensory (S-I) hindpaw cortex before and after partial hindpaw deafferentation in adult rats

The hindpaw of the rat is normally innervated by the sciatic and saphenous nerves. In the present studies, the hindpaws of adult rats were partially deafferented by transection of the sciatic nerve for variable periods of time. The organization of the hindpaw representation in primary somatosensory (S-I) cortex was then studied with neurophysiological mapping techniques and compared to the organization seen in normal rats. The objective was to determine whether cutaneous responsiveness was recovered in the cortical area which lost normal cutaneous inputs from the sciatic nerve, and, if recovery occurred, to characterize the time course and spatial extent of this recovery. Normal rats were found to have a topographically organized representation of the hindpaw in S-I cortex. As determined by nerve recording and cortical mapping, approximately 85% of this representation is responsive to cutaneous inputs from the sciatic nerve, while the remaining 15% is responsive to inputs from the saphenous nerve. Following transection of the sciatic nerve, all hindpaw skin regions normally innervated by the sciatic nerve remained denervated. In cortex, the representation of cutaneous inputs from the saphenous nerve expanded into parts of the hindpaw region normally representing sciatic inputs and occupied an area about 3 times larger than the saphenous representation in normal rats. This expansion was initially observed 1 to 2 days after transection and was stably maintained with longer deafferentation times. However, even after chronic deafferentation of up to 5 months, this enlarged saphenous representation was still only half the size of the normal hindpaw representation in normal rats. These findings suggest that cortical representations of deafferented skin can become activated by substitute cutaneous inputs. The rapid time course for substitution suggests these changes are due to functional modifications in normally existing connections. With the deafferentation conditions used in the present study, input substitution was limited to only parts of the deprived cortex. A hypothesis is presented which suggests these changes are due to adjustments in the dominance of saphenous and sciatic inputs to specific regions of cortex.
Logistique et transport de marchandises dans les grandes métropoles

Resume Les metropoles assurent souvent un role de "hub" dans la circulation internationale des marchandises. Mais elles doivent egalement approvisionner leurs entreprises et leurs habitants. Transformees par le e-commerce, ces fonctions, essentielles economiquement, representent un cout social et environnemental sous-evalue.
Marcelo Savino Portugal , joint with I . De Morals Characteristics of Stochastic Volatility for Latin America ́ s

This paper uses a quasi-maximum likelihood procedure to estimate the nonstationary stochastic volatility for the par bonds of four Latin American countries (Brazil, Argentina, Mexico and Venezuela). The aim is to investigate the possible presence of co-movements in volatility across these countries. The estimation period goes from August 1994 until September 1999, including therefore the Asian and Russian crises. The estimated volatility for the univariate model does not show any slope and is highly persistent. The multivariate model gives a good fit to the data and shows that there is common movement.
FGF8 acts as a classic diffusible morphogen to pattern the neocortex

Gain- and loss-of-function experiments have demonstrated that a source of fibroblast growth factor (FGF) 8 regulates anterior to posterior (A/P) patterning in the neocortical area map. Whether FGF8 controls patterning as a classic diffusible morphogen has not been directly tested. We report evidence that FGF8 diffuses through the mouse neocortical primordium from a discrete source in the anterior telencephalon, forms a protein gradient across the entire A/P extent of the primordium, and acts directly at a distance from its source to determine area identity. FGF8 immunofluorescence revealed FGF8 protein distributed in an A/P gradient. Fate-mapping experiments showed that outside the most anterior telencephalon, neocortical progenitor cells did not express Fgf8, nor were they derived from Fgf8-expressing cells, suggesting that graded distribution of FGF8 results from protein diffusion from the anterior source. Supporting this conclusion, a dominant-negative high-affinity FGF8 receptor captured endogenous FGF8 at a distance from the FGF8 source. New FGF8 sources introduced by electroporation showed haloes of FGF8 immunofluorescence indicative of FGF8 diffusion, and surrounding cells reacted to a new source of FGF8 by upregulating different FGF8-responsive genes in concentric domains around the source. Reducing endogenous FGF8 with the dominant-negative receptor in the central neocortical primordium induced cells to adopt a more posterior area identity, demonstrating long-range area patterning by FGF8. These observations support FGF8 as a classic diffusible morphogen in neocortex, thereby guiding future studies of neocortical pattern formation.