Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Channel Estimation Scheme for Wideband OFDM Aeronautical Communication

The aeronautical wireless channel is a time-frequency double-selective channel, which will destroy the orthogonality of the OFDM sub-carriers remarkably, inducing a severe inter-carrier interference (ICI). The aeronautic channel is also a sparse channel. So we could utilize the property of sparseness to design an appropriate channel estimation method. In this paper, a novel channel estimation scheme is proposed for OFDM systems applied in wideband aeronautical communication. The scheme mainly consists of three parts, including the blocks of phase lock loop, channel parameters estimator, and iterative cancellation. We investigated the scheme in en-route scenarios. Simulation results were carried out to evaluate the BER performances of OFDM systems with the proposed estimation scheme.
Speech-to-face movement synthesis based on HMMS

The paper describes a talking face generation system with natural and communicative reality. If face movements are synthesized well enough for natural communication, a lot of benefits will be brought for the human-machine communication. We have already proposed a speech driven HMM-based lip movement synthesis, and also shown that the quality is drastically improved by considering succeeding visemes. The paper describes extension of our system to full face movement generation, and proposes a method considering both of preceding and succeeding viseme contexts. The experiments show the proposed method generates natural and accurate talking faces from audio speech inputs.
A systematic literature review on the ethics of palliative sedation: an update (2016)

Purpose of reviewPalliative sedation has been the subject of intensive debate since its first appearance in 1990. In a 2010 review of palliative sedation, the following areas were identified as lacking in consensus: inconsistent terminology, its use in nonphysical suffering, the ongoing experience of distress, and concern that the practice of palliative sedation may hasten death. This review looks at the literature over the past 6 years and provides an update on these outstanding concerns. Recent findingsGood clinical guidelines and policies are still required to address issues of emotional distress and waylay concerns that palliative sedation hastens death. SummaryThe empirical evidence suggests some movement toward consensus on the practice of palliative sedation. However, a continued need exists for evidence-informed practice guidelines, education, and research to support the ethical practice of palliative sedation at the end of life. Until that time, clinicians are advised to adopt a framework or guideline that has been expert driven to ensure consistent and ethical use of palliative sedation at the end of life.
Adaptive Source Localization Based Station Keeping of Autonomous Vehicles

We study the problem of driving a mobile sensory agent to a target whose location is specified only in terms of the distances to a set of sensor stations or beacons. The beacon positions are unknown, but the agent can continuously measure its distances to them as well as its own position. This problem has two particular applications: (1) capturing a target signal source whose distances to the beacons are measured by these beacons and broadcasted to a surveillance agent, (2) merging a single agent to an autonomous multi-agent system so that the new agent is positioned at desired distances from the existing agents. The problem is solved using an adaptive control framework integrating a parameter estimator producing beacon location estimates, and an adaptive motion control law fed by these estimates to steer the agent toward the target. For location estimation, a least-squares adaptive law is used. The motion control law aims to minimize a convex cost function with unique minimizer at the target location, and is further augmented for persistence of excitation. Stability and convergence analysis is provided, as well as simulation results demonstrating performance and transient behavior.
Hash, Don't Cache (the Page Table)

Radix page tables as implemented in the x86-64 architecture incur a penalty of four memory references for address translation upon each TLB miss. These 4 references become 24 in virtualized setups, accounting for 5%--90% of the runtime and thus motivating chip vendors to incorporate page walk caches (PWCs). Counterintuitively, an ISCA 2010 paper found that radix page tables with PWCs are superior to hashed page tables, yielding up to 5x fewer DRAM accesses per page walk. We challenge this finding and show that it is the result of comparing against a suboptimal hashed implementation---that of the Itanium architecture. We show that, when carefully optimized, hashed page tables in fact outperform existing PWC-aided x86-64 hardware, shortening benchmark runtimes by 1%--27% and 6%--32% in bare-metal and virtualized setups, without resorting to PWCs. We further show that hashed page tables are inherently more scalable than radix designs and are better suited to accommodate the ever increasing memory size; their downside is that they make it more challenging to support such features as superpages.
P-proteins in Arabidopsis are heteromeric structures involved in rapid sieve tube sealing

Structural phloem proteins (P-proteins) are characteristic components of the sieve elements in all dicotyledonous and many monocotyledonous angiosperms. Tobacco P-proteins were recently confirmed to be encoded by the widespread sieve element occlusion (SEO) gene family, and tobacco SEO proteins were shown to be directly involved in sieve tube sealing thus preventing the loss of photosynthate. Analysis of the two Arabidopsis SEO proteins (AtSEOa and AtSEOb) indicated that the corresponding P-protein subunits do not act in a redundant manner. However, there are still pending questions regarding the interaction properties and specific functions of AtSEOa and AtSEOb as well as the general function of structural P-proteins in Arabidopsis. In this study, we characterized the Arabidopsis P-proteins in more detail. We used in planta bimolecular fluorescence complementation assays to confirm the predicted heteromeric interactions between AtSEOa and AtSEOb. Arabidopsis mutants depleted for one or both AtSEO proteins lacked the typical P-protein structures normally found in sieve elements, underlining the identity of AtSEO proteins as P-proteins and furthermore providing the means to determine the role of Arabidopsis P-proteins in sieve tube sealing. We therefore developed an assay based on phloem exudation. Mutants with reduced AtSEO expression levels lost twice as much photosynthate following injury as comparable wild-type plants, confirming that Arabidopsis P-proteins are indeed involved in sieve tube sealing.
Robust Sparse Tensor Decomposition by Probabilistic Latent Semantic Analysis

Movie recommendation system is becoming more and more popular in recent years. As a result, it is becoming increasingly important to develop machine learning algorithm on partially-observed matrix to predict users' preferences on missing data. Motivated by the user ratings prediction problem, we propose a novel robust tensor probabilistic latent semantic analysis (RT-pLSA) algorithm that not only takes time variable into account, but also uses the periodic property of data in time attribute. Different from the previous algorithms of predicting missing values on two-dimensional sparse matrix, we formulize the prediction problem as a probabilistic tensor factorization problem with periodicity constraint on time coordinate. Furthermore, we apply the Tsallis divergence error measure in the context of RT-pLSA tensor decomposition that is able to robustly predict the latent variable in the presence of noise. Our experimental results on two benchmark movie rating dataset: Netflix and Movie lens, show a good predictive accuracy of the model.
Compulsive hoarding: OCD symptom, distinct clinical syndrome, or both?

OBJECTIVE Compulsive hoarding is a debilitating problem that is often associated with obsessive-compulsive disorder (OCD) and obsessive-compulsive personality disorder. However, the precise nosology of compulsive hoarding has yet to be determined. METHOD Participants were 25 patients with severe compulsive hoarding with OCD and 27 patients with severe compulsive hoarding without OCD. Both groups were carefully characterized and compared on the following sociodemographic and clinical variables: precise phenomenology of hoarding behavior, severity of other OCD symptoms, axis I and axis II psychopathology, and adaptive functioning. For comparison purposes, the following individuals were also recruited: 71 patients with OCD without hoarding, 19 patients with anxiety disorder, and 21 community participants. RESULTS Overall, the phenomenology of hoarding behavior was similar in the two hoarding groups. The majority of participants in both groups reported hoarding common items as a result of their emotional and/or intrinsic value. However, approximately one-fourth of participants in the compulsive hoarding with OCD group showed a different psychopathological profile, which was characterized by the hoarding of bizarre items and the presence of other obsessions and compulsions related to their hoarding, such as fear of catastrophic consequences, the need to perform checking rituals, and the need to perform mental compulsions before discarding any item. These patients had a more severe and disabling form of the disorder. The strong relationship between compulsive hoarding and obsessive-compulsive personality disorder was explained entirely by the overlapping item content. CONCLUSIONS In most individuals, compulsive hoarding appears to be a syndrome separate from OCD, which is associated with substantial levels of disability and social isolation. However, in other individuals, compulsive hoarding may be considered a symptom of OCD and has unique clinical features. These findings have implications for the classification of OCD and compulsive hoarding in the next edition of DSM.
An Amplitude Equation Approach to Contextual Effects in Visual Cortex

A mathematical theory of interacting hypercolumns in primary visual cortex (V1) is presented that incorporates details concerning the anisotropic nature of long-range lateral connections. Each hypercolumn is modeled as a ring of interacting excitatory and inhibitory neural populations with orientation preferences over the range 0 to 180 degrees. Analytical methods from bifurcation theory are used to derive nonlinear equations for the amplitude and phase of the population tuning curves in which the effective lateral interactions are linear in the amplitudes. These amplitude equations describe how mutual interactions between hypercolumns via lateral connections modify the response of each hypercolumn to modulated inputs from the lateral geniculate nucleus; such interactions form the basis of contextual effects. The coupled ring model is shown to reproduce a number of orientation-dependent and contrast-dependent features observed in center-surround experiments. A major prediction of the model is that the anisotropy in lateral connections results in a nonuniform modulatory effect of the surround that is correlated with the orientation of the center.
Weighted finite-state transducers in speech recognition

We survey the use of weighted finite-state transducers (WFSTs) in speech recognition. We show that WFSTs provide a common and natural representation for hidden Markov models (HMMs), context-dependency, pronunciation dictionaries, grammars, and alternative recognition outputs. Furthermore, general transducer operations combine these representations flexibly and efficiently. Weighted determinization and minimization algorithms optimize their time and space requirements, and a weight pushing algorithm distributes the weights along the paths of a weighted transducer optimally for speech recognition. As an example, we describe a North American Business News (NAB) recognition system built using these techniques that combines the HMMs, full cross-word triphones, a lexicon of 40 000 words, and a large trigram grammar into a single weighted transducer that is only somewhat larger than the trigram word grammar and that runs NAB in real-time on a very simple decoder. In another example, we show that the same techniques can be used to optimize lattices for second-pass recognition. In a third example, we show how general automata operations can be used to assemble lattices from different recognizers to improve recognition performance.
Effects of Fast Simple Numerical Calculation Training on Neural Systems

Cognitive training, including fast simple numerical calculation (FSNC), has been shown to improve performance on untrained processing speed and executive function tasks in the elderly. However, the effects of FSNC training on cognitive functions in the young and on neural mechanisms remain unknown. We investigated the effects of 1-week intensive FSNC training on cognitive function, regional gray matter volume (rGMV), and regional cerebral blood flow at rest (resting rCBF) in healthy young adults. FSNC training was associated with improvements in performance on simple processing speed, speeded executive functioning, and simple and complex arithmetic tasks. FSNC training was associated with a reduction in rGMV and an increase in resting rCBF in the frontopolar areas and a weak but widespread increase in resting rCBF in an anatomical cluster in the posterior region. These results provide direct evidence that FSNC training alone can improve performance on processing speed and executive function tasks as well as plasticity of brain structures and perfusion. Our results also indicate that changes in neural systems in the frontopolar areas may underlie these cognitive improvements.
Automatic detection of suspicious objects using surveillance cameras

Suspicious objects must be detected at important sensitive institutions like airports, train stations, sports arenas, etc. to maintain safety at these locations. In this paper, we propose a method for automatic detection of suspicious object using a surveillance camera. A person and object areas are extracted using the current frame, previous frame and background. A suspicious object is detected using Histograms of Oriented Gradients (HOG) feature detection method. These features are then learned using the AdaBoost algorithm. Using data collected in our laboratory, the system achieved an average accuracy of 85% for 3 types of objects while operating in real time.
Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction

We propose and analyze an online algorithm for reconstructing a sequence of signals from a limited number of linear measurements. The signals are assumed sparse, with unknown support, and evolve over time according to a generic nonlinear dynamical model. Our algorithm, based on recent theoretical results for $\ell_1$-$\ell_1$ minimization, is recursive and computes the number of measurements to be taken at each time on-the-fly. As an example, we apply the algorithm to compressive video background subtraction, a problem that can be stated as follows: given a set of measurements of a sequence of images with a static background, simultaneously reconstruct each image while separating its foreground from the background. The performance of our method is illustrated on sequences of real images: we observe that it allows a dramatic reduction in the number of measurements with respect to state-of-the-art compressive background subtraction schemes.
Model Adequacy and the Macroevolution of Angiosperm Functional Traits

Making meaningful inferences from phylogenetic comparative data requires a meaningful model of trait evolution. It is thus important to determine whether the model is appropriate for the data and the question being addressed. One way to assess this is to ask whether the model provides a good statistical explanation for the variation in the data. To date, researchers have focused primarily on the explanatory power of a model relative to alternative models. Methods have been developed to assess the adequacy, or absolute explanatory power, of phylogenetic trait models but these have been restricted to specific models or questions. Here we present a general statistical framework for assessing the adequacy of phylogenetic trait models. We use our approach to evaluate the statistical performance of commonly used trait models on 337 comparative datasets covering three key Angiosperm functional traits. In general, the models we tested often provided poor statistical explanations for the evolution of these traits. This was true for many different groups and at many different scales. Whether such statistical inadequacy will qualitatively alter inferences draw from comparative datasets will depend on the context. Regardless, assessing model adequacy can provide interesting biological insights — how and why a model fails to describe variation in a dataset gives us clues about what evolutionary processes may have driven trait evolution across time.
Exploring the Mechanism of Agonist Efficacy: A Relationship between Efficacy and Agonist Dissociation Rate at the Muscarinic M3 Receptor

Although there are several empirical approaches that enable the comparison of relative agonist efficacy, the molecular basis that underlies differences in the ability of G protein-coupled receptor agonists to elicit a response is still largely unexplained. Several models have been described that incorporate the kinetics of receptor-mediated initiation of the G protein cycle, but these have not directly addressed the influence of agonist-binding kinetics. To test this, we investigated the relationship between the efficacy of seven M3 muscarinic receptor agonists and their rate of dissociation (koff) from the M3 receptor. The association and dissociation rate constants of the agonists were determined using a l-[N-methyl]-[3H]scopolamine methyl chloride competition binding assay in the presence of GTP. The agonists displayed a range of association and dissociation rates. Relative agonist efficacy was measured at two points after M3 receptor activation: the stimulation of guanosine 5′-O-(3-[35S]thio)triphosphate binding to Gα subunits, and the subsequent increase in intracellular calcium levels. These experiments revealed a range of intrinsic efficacy, from the low-efficacy pilocarpine and oxotremorine to high-efficacy acetylcholine. There was no relationship between agonist efficacy and the equilibrium binding affinity of each agonist (Kd). When efficacy was compared with the dissociation rate constant, however, the two were highly correlated, suggesting a relationship between the duration of agonist binding at the receptor and the intrinsic efficacy. These data suggest that kinetic models incorporating the mean lifetime of specific complexes will be required to fully explain the nature of agonist efficacy.
Multiresolution Visualization and Compression of Global Topographic Data

We present a multiresolution model for surfaces which is able to handle large–scale global topographic data. It is based on a hierarchical decomposition of the sphere by a recursive bisection triangulation in geographic coordinates. Error indicators allow the representation of the data at various levels of detail and enable data compression by local omission of data values. The resulting hierarchical triangulation is stored using a bit code of the underlying binary tree and, additionally, relative pointers which allow an adaptive tree traversal. This way, it is possible to work directly on the compressed data. We show that significant compression rates can be obtained already for small threshold values. In a visualization application, adaptive triangulations which consist of hundreds of thousands of shaded triangles are extracted and drawn at interactive rates. Classification: 65D05, 65N50, 65Y25, 68U05
Down-regulation of expression and function of the rat liver Na+/bile acid cotransporter in extrahepatic cholestasis.

BACKGROUND & AIMS The molecular regulation of hepatic bile acid transporters during cholestasis is largely unknown. Cloning of complementary DNAs for the sinusoidal sodium-dependent taurocholate cotransporting polypeptide (ntcp), the cytosolic bile acid-binding protein 3 alpha-hydroxysteroid dehydrogenase (3 alpha-HSD), and a putative canalicular bile acid transporter Ca2+, Mg(2+)-ecto-adenosine triphosphatase, now facilitates such studies. METHODS Protein mass, steady-state messenger RNA (mRNA) levels, and gene transcription were assessed in rat livers after common bile duct ligation (CBDL) from 1-7 days, and taurocholate uptake was determined in isolated hepatocytes. RESULTS After CBDL, Na(+)-dependent taurocholate uptake (Vmax) declined by 70%. The levels of ntcp protein were reduced by more than 90%, and 3 alpha-HSD levels decreased by 66% by 7 days. Expression and canalicular localization of the ecto-adenosine triphosphatase remained unchanged. mRNA levels for both ntcp and 3 alpha-HSD diminished by about 60% 1 day after CBDL and remained unchanged up to 7 days. Transcriptional activity was decreased 1 day after CBDL only for ntcp. CONCLUSIONS Extrahepatic cholestasis results in rapid down-regulation of Na(+)-dependent taurocholate uptake, ntcp transcription, and posttranscriptional regulation of both ntcp and 3 alpha-HSD mRNA. This selective decline of ntcp may represent a protective feedback mechanism in cholestasis to diminish uptake of potentially hepatotoxic bile acids.
Controller reduction using structurally balanced truncation method with new closed-loop structures

In this paper, we discuss controller reduction using structurally balanced truncation (SBT) method with new closed-loop structures. The most consequential disadvantage in SBT method is the problem for feasibility of Lyapunov inequalities for closed-loop systems and it still remain open to this date. The new closed-loop structures are introduced in order to relax the feasibility. Finally, a numerical example is used to verify the availability of the proposed methods.
Maintenance support in open source software projects

Easy and mostly free access to the Internet has resulted in the growing use of open source software (OSS). However, it is a common perception that closed proprietary software is still superior in areas such as software maintenance and management. The research model of this study establishes a relationship between maintenance issues (such as user requests and error handling) and support provided by open source software through project forums, mailing lists and trackers. To conduct this research, we have used a dataset consisting of 120 open source software projects, covering a wide range of categories. The results of the study show that project forums and mailing lists play a significant role in addressing user requests in open source software. However according to the empirical investigation, it has been explored that trackers are used as an effective medium for error reporting as well as user requests.
Trajectory Codes for Flash Memory

A generalized rewriting model is defined for flash memory that represents stored data and permitted rewrite operations by a directed graph. This model is a generalization of previously introduced rewriting models of codes, including floating codes, write-once memory codes, and buffer codes. This model is used to design a new rewriting code for flash memories. The new code, referred to as trajectory code, allows stored data to be rewritten as many times as possible without block erasures. It is proved that the trajectory codes are asymptotically optimal for a wide range of scenarios. In addition, rewriting codes that use a randomized rewriting scheme are presented that obtain good performance with high probability for all possible rewrite sequences.