Miracle-dz/UniFAR-FTUs huggingface dataset:
A NOVEL HIGH ACCURACY INDOOR POSITIONING SYSTEM BASED ON WIRELESS LANS

A novel indoor positioning system based on received signal strength (RSS) in wireless networks with high accuracy is presented in this paper. The three improvement mechanisms, called signal strength fllter, user location fllter and path tracking assistance, are employed to improve the positioning accuracy of the system. The comprehensive performance of the proposed system is analyzed in detail and compared with the Radar system. Experimental results demonstrate that the proposed system in this paper can improve 80% accuracy in 3 meters of Radar system to 93% in typical o-ce building testbed. Therefore, the indoor positioning system presented in this paper has the advantages of high accuracy, low cost and easy expansibility, and it can be used to locate people and assets in the flelds of logistics, healthcare, and manufacturing.
Social Media as a Sensor of Air Quality and Public Response in China

Background Recent studies have demonstrated the utility of social media data sources for a wide range of public health goals, including disease surveillance, mental health trends, and health perceptions and sentiment. Most such research has focused on English-language social media for the task of disease surveillance. Objective We investigated the value of Chinese social media for monitoring air quality trends and related public perceptions and response. The goal was to determine if this data is suitable for learning actionable information about pollution levels and public response. Methods We mined a collection of 93 million messages from Sina Weibo, China’s largest microblogging service. We experimented with different filters to identify messages relevant to air quality, based on keyword matching and topic modeling. We evaluated the reliability of the data filters by comparing message volume per city to air particle pollution rates obtained from the Chinese government for 74 cities. Additionally, we performed a qualitative study of the content of pollution-related messages by coding a sample of 170 messages for relevance to air quality, and whether the message included details such as a reactive behavior or a health concern. Results The volume of pollution-related messages is highly correlated with particle pollution levels, with Pearson correlation values up to . 718 (n=74, P<.001). Our qualitative results found that 67.1% (114/170) of messages were relevant to air quality and of those, 78.9% (90/114) were a firsthand report. Of firsthand reports, 28% (32/90) indicated a reactive behavior and 19% (17/90) expressed a health concern. Additionally, 3 messages of 170 requested that action be taken to improve quality. Conclusions We have found quantitatively that message volume in Sina Weibo is indicative of true particle pollution levels, and we have found qualitatively that messages contain rich details including perceptions, behaviors, and self-reported health effects. Social media data can augment existing air pollution surveillance data, especially perception and health-related data that traditionally requires expensive surveys or interviews.
Cultivation of a Synergistetes strain representing a previously uncultivated lineage

Subgingival plaque samples obtained from human subjects with periodontitis, shown to include previously uncultivable members of the phylum Synergistetes, were used to inoculate Cooked Meat Medium (CMM). The presence of Cluster A (uncultivable) Synergistetes was monitored by fluorescent in situ hybridization (FISH) and quantitative PCR (Q-PCR). Cluster A Synergistetes were found to grow in CMM in co-culture with other plaque bacteria and growth was stimulated by the addition of mucin and serum. Plaque samples were also used to inoculate Blood Agar (BA) plates and growth of Cluster A Synergistetes was revealed after anaerobic incubation, by colony hybridization with specific probes. Surface growth on the plates in regions identified by colony hybridization was harvested and used to inoculate fresh plates, thus enriching for Cluster A Synergistetes. Cross-streaks of other plaque bacteria were also used to stimulate Synergistetes growth. In the early passages, no discrete Synergistetes colonies were seen, but after eight passages and the use of cross-streaks of other bacteria present in the enriched community, colonies arose, which consisted solely of Cluster A Synergistetes cells, as determined by 16S rRNA gene PCR and cloning. This is the first report of the successful culture of a member of the uncultivable branch of this phylum.
Local Optimality Certificates for LP Decoding of Tanner Codes

We present a new combinatorial characterization for local optimality of a codeword in an irregular Tanner code. The main novelty in this characterization is that it is based on a linear combination of subtrees in the computation trees. These subtrees may have any degree in the local code nodes and may have any height (even greater than the girth). We expect this new characterization to lead to improvements in bounds for successful decoding. We prove that local optimality in this new characterization implies ML-optimality and LP-optimality, as one would expect. Finally, we show that is possible to compute efficiently a certificate for the local optimality of a codeword given an LLR vector.
Stochastic Volatility of Financial Assets and Default Risk

We present the non-Gaussian extension of the traditional Merton framework, which takes into account slowly relaxing fluctuations of the volatility of the firm’s market value of financial assets. The minimal version of the model depends on the Tsallis entropic parameter q and the generalized “distance to default”. For , related to the normal statistics, the new approach replicates results of traditional structural models. For q > 1, corresponding to complex systems with non-additive Tsallis entropy, the model leads to much higher 1-year probability of default for investment grade issuers. The empirical foundation and implications of the model are illustrated by the study of 645 North American industrial firms during the financial crisis, 2006-2012. All defaulters in the sample have exceptionally large q. Using Receiver Operating Characteristic curves, we demonstrate the high forecasting power of the model in prediction of 1-year defaults. We report excellent fitting capabilities of the derived formulae to multi-period default data in both investment-grade and high-yield categories of credit ratings initially assigned to future defaulters. Our study suggests that the level of complexity (“turbulence”) of the time series, quantified by q, should be taken into account to improve valuations of default risk.
Abduction with Stochastic Logic Programs based on a Possible Worlds Semantics

There has been an increased interest in recent years within ILP in both the use of probabilistic representations and separately in the joint application of abduction and induction. This paper is a first step towards integrating these previously disparate areas of research. We introduce an approach to support abduction with Stochastic Logic Programs (SLPs), a probabilistic logic formalism defined to have a distributional semantics over the Herbrand base. Despite their use in stochastic contexts, SLPs have not previously been provided with a possible worlds semantics and their interpretation has generally been allied to Halpern’s domain-frequency-based models. In this paper we present a possible worlds basis for conducting abduction in SLPs. We give a framework for this “stochastic abduction” which provides a probability distribution over the abductive hypotheses based on their possible worlds. This framework can be used for abductive/inductive logic programming, though further work is required to develop appropriate implementations.
Volume rendering with multidimensional peak finding

Peak finding provides more accurate classification for direct volume rendering by sampling directly at local maxima in a transfer function, allowing for better reproduction of high-frequency features. However, the 1D peak finding technique does not extend to higherdimensional classification. In this work, we develop a new method for peak finding with multidimensional transfer functions, which looks for peaks along the image of the ray. We use piecewise approximations to dynamically sample in transfer function space between world-space samples. As with unidimensional peak finding, this approach is useful for specifying transfer functions with greater precision, and for accurately rendering noisy volume data at lower sampling rates. Multidimensional peak finding produces comparable image quality with order-of-magnitude better performance, and can reproduce features omitted entirely by standard classification. With no precomputation or storage requirements, it is an attractive alternative to preintegration for multidimensional transfer functions.
Nonemptiness of symmetric degeneracy loci

Let V be a rank N vector bundle on a d -dimensional complex projective scheme X ; assume that V is equipped with a quadratic form with values in a line bundle L and that S 2 V * ⊗ L is ample. Suppose that the maximum rank of the quadratic form at any point of X is r 0. The main result of this paper is that if d N - r , the locus of points where the rank of the quadratic form is at most r - 1 is nonempty. We give some applications to subschemes of matrices, and to degeneracy loci associated to embeddings in projective space. The paper concludes with an appendix on Gysin maps. The main result of the appendix, which may be of independent interest, identifies a Gysin map with the natural map from ordinary to relative cohomology.
A design flow for critical embedded systems

The SoCKET project (SoC1 toolKit for critical Embedded sysTems)2 gathers industrial and academic partners to address the issue of design methodologies for critical embedded systems. They work towards the definition of a “seamless” design flow which integrates qualification and certification, from the system level to integrated circuits and to software. This paper sketches such a design flow and the associated methodologies, and briefly describes its application to industrial case studies.
Community organizing for economic development : a program evaluation of the Maine Downtown Center

iii TABLE OF CONTENTS. v CHAPTER I: INTRODUCTION. 1 CHAPTER II STAKEHOLDER PERCEPTIONS AND NON-PROFIT ORGANIZATIONAL EFFECTIVENESS. 5 Introduction. 5 Brief History of Non-Profits and Business Practices. 6 Issues with Non-Profit Organization and Business Practices . 7 Evaluating Effectiveness and Popular Models . 9 Multiple Constituency and Social Constructionist Models . 12 Shaping Stakeholder Perceptions. 14 Non-Profit Organizations and Responsiveness. 15 Non-Profit Organizations and Consistency . 16 Open Dialogue and Needs Assessments . 17 CHAPTER III METHODS. 19 CHAPTER IV: MDC PROGRAM EVALUATION . 21 Table of
A Display Order Oriented Scalable Video Decoder

As network technologies advance, scalable video coding (SVC) has become increasingly popular due to its universal multimedia access capability and competitive compression performance with the state-of-the-art single-layer video coding. However, it's decoding delay, memory bandwidth and storage requirement are much larger than those of single-layer video coding due to various scalabilities. In this paper, we propose a novel display order instead of direct bitstream order oriented decoding method for the SVC decoder to solve above implementation problems. The analysis for hardware-oriented algorithm shows that the proposed decoding order can reduce the decoding delay, memory bandwidth and storage requirement significantly while is still applicable to various scalable requirements
Nature Publishing Group Original Contributions Cross-sectional Characterization of All Classes of Antihypertensives in Terms of Central Blood Pressure in Japanese Hypertensive Patients

From the physical viewpoint, central blood pressure (CBP) more directly imposes mechanical stress on the left ventricle, large arteries and the vital organ vasculature than brachial blood pressure (BP). This impact of CBP was suggested by large-scale intervention trials and population-based studies, such as the Conduit Artery Function Evaluation (CAFE) study of the Anglo-Scandinavian Cardiac Outcomes Trial (ASCOT) 1 and Strong Heart Study (SHS). 2 In the CAFE study, only calcium channel blocker (CCB) and β-blocker (βBL)-based treatments were compared in estimated CBP. Prior to the study, several small-scale investigations assessing therapeutic alterations in CBP or aortic wave reflection had been reported. 3–11 Various theoretical explanations of the benefit of vasodilators to lower CBP have also been published; 12–14 however, only limited classes of antihypertensive drugs, such as angiotensin-converting enzyme inhibitors (ACEI) and βBL, including nitrates, have been investigated comparatively or noncom-paratively. Hence, the effects of various antihypertensives on CBP are not fully understood. Randomized intervention trials are necessary to assess the effects of each antihypertensive Background central blood pressure (cBP) has been reported to be superior to brachial blood pressure (BP) as a cardiovascular risk predictor in hypertensive patients; however, the effects of antihypertensives on cBP have not been fully examined. This cross-sectional hypothesis-generating study aimed to tentatively characterize all classes of antihypertensives in relation to cBP.
Cardiac Subsarcolemmal and Interfibrillar Mitochondria Display Distinct Responsiveness to Protection by Diazoxide

Objective Cardiac subsarcolemmal (SSM) and interfibrillar (IFM) mitochondrial subpopulations possess distinct biochemical properties and differ with respect to their protein and lipid compositions, capacities for respiration and protein synthesis, and sensitivity to metabolic challenge, yet their responsiveness to mitochondrially active cardioprotective therapeutics has not been characterized. This study assessed the differential responsiveness of the two mitochondrial subpopulations to diazoxide, a cardioprotective agent targeting mitochondria. Methods Mitochondrial subpopulations were freshly isolated from rat ventricles and their morphologies assessed by electron microscopy and enzymatic activities determined using standard biochemical protocols with a plate reader. Oxidative phosphorylation was assessed from State 3 respiration using succinate as a substrate. Calcium dynamics and the status of Ca2+-dependent mitochondrial permeability transition (MPT) pore and mitochondrial membrane potential were assessed using standard Ca2+ and TPP+ ion-selective electrodes. Results Compared to IFM, isolated SSM exhibited a higher sensitivity to Ca2+ overload-mediated inhibition of adenosine triphosphate (ATP) synthesis with decreased ATP production (from 375±25 to 83±15 nmol ATP/min/mg protein in SSM, and from 875±39 to 583±45 nmol ATP/min/mg protein in IFM). In addition, SSM exhibited reduced Ca2+-accumulating capacity as compared to IFM (230±13 vs. 450±46 nmol Ca2+/mg protein in SSM and IFM, respectively), suggestive of increased Ca2+ sensitivity of MPT pore opening. Despite enhanced susceptibility to stress, SSM were more responsive to the protective effect of diazoxide (100 μM) against Ca2+ overload-mediated inhibition of ATP synthesis (67% vs. 2% in SSM and IFM, respectively). Conclusion These results provide evidence for the distinct sensitivity of cardiac SSM and IFM toward Ca2+-dependent metabolic stress and the protective effect of diazoxide on mitochondrial energetics.
Human Resources Development and Migration： New Potential Determinants for Monetary Policy

The main objective of the present paper is to determine the potential impact the qualitative and quantitative tendencies in the labor market on the decisions which influence the design of monetary policy worldwide. The analysis is focused on how human resources and phenomena associated with them could influence potential growth and, further on, how they can impact monetary policy decisions at national level for European countries outside the euro area and at ECB level for the euro zone countries. Moreover, the paper will envisage potential macroeconomic reactions (monetary decisions herewith included) to human resources dynamics. The economic variations are regarded through the perspective of growth potential shown by the Research & Development sector and also through the effects of labor force migration. The analysis of statistical data aims at pointing out the different economic perspectives in the European Union, the United States, and Japan, also considering the disparities between EU member states. The analysis is completed by the use of the ranking method, the conclusions stating once more the crucial importance of the human factor in drawing monetary policy decisions.
Validity of the linear speed selection mechanism for fronts of the nonlinear diffusion equation.

We consider the problem of the speed selection mechanism for the one dimensional nonlinear diffusion equation $u_t = u_{xx} + f(u)$. It has been rigorously shown by Aronson and Weinberger that for a wide class of functions $f$, sufficiently localized initial conditions evolve in time into a monotonic front which propagates with speed $c^*$ such that $2 \sqrt{f'(0)} \leq c^* < 2 \sqrt{\sup(f(u)/u)}$. The lower value $c_L = 2 \sqrt{f'(0)}$ is that predicted by the linear marginal stability speed selection mechanism. We derive a new lower bound on the the speed of the selected front, this bound depends on $f$ and thus enables us to assess the extent to which the linear marginal selection mechanism is valid.
The State of DNA Methylation of Serotonin Transporter (SLC6A4) in Peripheral T Cells and Monocytes is Associated with Aggression and Central 5-HT Function; DNA Methylation as Biomarkers of Brain Function

Aggressive behaviour is a complex phenomenon that often arises in early childhood and typically decreases with age. Studies have shown that adults with severe aggression often have lower serotonin (5-HT) neurotransmission. The hypothesis of this thesis is that 5-HT alterations associated with childhood aggression are also defined by epigenetic mechanisms through differential methylation of critical genes in the 5-HT pathway that can be detected in peripheral white blood cells. Serotonin transporter (SLC6A4) was chosen in this study based on its importance in 5-HT function and preliminary genomic DNA microarray data. We first determined the state of DNA methylation of SLC6A4 promoter using pyrosequencing in T cells and monocytes isolated from blood of adult males with low or high childhood-limited aggression (N=25) and who have been followed since childhood. We then examined whether the state of DNA methylation of SLC6A4 promoter in the blood is associated with in vivo measures of brain 5-HT synthesis by integrating previously obtained Positron emission tomography (PET) data from these participants. Lastly, a luciferase reporter construct was generated to test whether SLC6A4 promoter methylation plays a functional role in its transcriptional activity. Significantly higher levels of methylation in high childhood-limited physical aggression (C-LHPA) group were observed in both T cells and monocytes at specific CpG sites. In addition, greater mean methylation of significantly altered CpGs was associated with lower 5-HT synthesis in the left and right lateral orbitofrontal cortex (OBFC) in both cells (N = 20). Moreover, in vitro methylation of the SLC6A4 promoter dramatically suppressed gene expression suggesting that methylation plays a functional role in gene regulation. Taken all together, these novel findings imply that SLC6A4 is epigenetically modulated by DNA methylation and that DNA methylation is associated 2 with in aggression level observed during childhood. The association between higher DNA methylation and lower brain 5-HT synthesis supports the relevance of using DNA methylation in peripheral white blood cells as a marker for human brain 5-HT function. If these results can be confirmed in a larger sample, the identification of such 5-HT biomarkers may be beneficial for the prediction, prevention and evaluation of treatment of psychiatric disorders with 5-HT involvement. associés à des problèmes de neurotransmission de 5-HT.
Compositionality and Biologically Plausible Models

The breadth of this handbook demonstrates the diversity of approaches to compositionality that characterize current research. Understanding how structured representations are formed and manipulated has been a long-standing challenge for those investigating the complexities of cognition. Fodor and Pylyshyn (1988) and Jackendoff (2002) have provided detailed discussions of the problems faced by any theory purporting to describe how such systems can occur in the physical brain. In particular, neural cognitive theories must not only identify how to neurally instantiate the rapid construction and transformation of compositional structures, but also provide explanatory advantages over classical symbolic approaches.
On Static Code Construction for Alternating Multicast and Simultaneous Multicasts

In this paper, we introduce a network multicast problem called the alternating multicast problem. In this problem, there is more than one multicast on the network, but only one of the multicasts can take place at any time. We propose an algorithm for constructing a linear network code which is static in the sense that the coding operations do not depend on the multicast. The code so constructed achieves the max-flow bound for each multicast, i.e., optimality is achieved when the base field is sufficiently large. An upper bound on the required field size for constructing the code is also obtained. We conjecture that a network code constructed by our algorithm can be converted into a network code for the associated simultaneous multicast problem, i.e., all the multicasts can take place at the same time. An example is presented to illustrate our conjecture.