Miracle-dz/UniFAR-FTUs huggingface dataset:
No planet for HD 166435

The G0 V star HD 166435 has been observed by the ber-fed spectrograph ELODIE as one of the targets in the large extra-solar planet survey that we are conducting at the Observatory of Haute-Provence. We detected coherent, low-amplitude, radial-velocity variations with a period of 3.7987 days, suggesting a possible close-in planetary companion. Subsequently, we initiated a series of high-precision photometric observations to search for possible planetary transits and an additional series of Ca II H and K observations to measure the level of surface magnetic activity and to look for possible rotational modulation. Surprisingly, we found the star to be photometrically variable and magnetically active. A detailed study of the phase stability of the radial-velocity signal revealed that the radial-velocity variability remains coherent only for durations of about 30 days. Analysis of the time variation of the spectroscopic line proles using line bisectors revealed a correlation between radial velocity and line-bisector orientation. All of these observations, along with a one-quarter cycle phase shift between the photometric and the radial-velocity variations, are well explained by the presence of dark photospheric spots on HD 166435. We conclude that the radial-velocity variations are not due to gravitational interaction with an orbiting planet but, instead, originate from line-prole changes stemming from star spots on the surface of the star. The quasi-coherence of the radial-velocity signal over more than two years, which allowed a fair t with a binary model, makes the stability of this star unusual among other active stars. It suggests a stable magnetic eld orientation where spots are always generated at about the same location on the surface of the star.
A PUF Based on a Transient Effect Ring Oscillator and Insensitive to Locking Phenomenon

This paper presents a new silicon physical unclonable function (PUF) based on a transient effect ring oscillator (TERO). The proposed PUF has state of the art PUF characteristics with a good ratio of PUF response variability to response length. Unlike RO-PUF, it is not sensitive to the locking phenomenon, which challenges the use of ring oscillators for the design of both PUF and TRNG. The novel architecture using differential structures guarantees high stability of the TERO-PUF. The area of the TERO-PUF is relatively high, but is still comparable with other PUF designs. However, since the same piece of hardware can be used for both PUF and random number generation, the proposed principle offers an interesting low area mixed solution.
Heritability of obsessive‐compulsive symptom dimensions

Recent research has shown that obsessive‐compulsive symptoms (OCS) differ remarkably among patients and can be divided into several symptom dimensions. OCS are influenced by genetic components, but it is unknown to what extent these symptom dimensions are heritable. The phenotypic heterogeneity also raises the question to what extent the symptom dimensions are influenced by specific or shared genetic factors. We studied a population sample of 1,383 female twins from the Virginia Twin Registry. OCS was measured by a questionnaire with 20 items from the Padua Inventory. After factor analysis, three reliable OC symptom dimensions were retained: Rumination, Contamination, and Checking. These OC dimensions were analyzed with multivariate genetic models to investigate both the overlap and uniqueness of genetic and environmental contributions underlying OC symptom dimensions. The multivariate common pathway model provided the best description of the data. All symptom dimensions share variation with a latent common factor, that is, OC behavior. Variation in this common factor was explained by both genes (36%) and environmental factors (64%). Only the Contamination dimension was influenced by specific genes and seemed to be a relatively independent dimension. The results suggest that a broad OC behavioral phenotype exists, influenced by both genes and nonshared environment. In addition, we found evidence for specific genetic and environmental factors underlying the Contamination dimension. Use of the Contamination dimension could therefore provide a powerful approach for the detection of genetic susceptibility loci that contribute to OCS. © 2007 Wiley‐Liss, Inc.
Kernel Approach to Autoregressive Modeling

A kernel-based approach for nonlinear modeling of time series data is proposed in this paper. Autoregressive modeling is achieved in a feature space de(cid:2)ned by a kernel function using a linear algorithm. The method extends the advantages of the conventional autoregressive models to characterization of nonlinear signals through the intelligent use of kernel functions.Experiments with synthetic signals demonstrate that this method seems to be a promising alternative to nonlinear modeling schemes.
PARALLEL OPTIMISATION OF JOIN QUERIES USING A TECHNIQUE OF EXHAUSTIVE NATURE 1

In this study we present a technique for the parallel optimisation of join queries that uses the offered coarse-grain parallelism of the underlying architecture in order to reduce the CPU-bound optimisation overhead. The optimisation technique performs an almost exhaustive search of the solution space for small join queries and gradually, as the number of joins increases, it diverges towards iterative improvement. This technique has been developed on a low-parallelism transputer-based architecture, where its behaviour is studied for the optimisation of queries with many tens of joins.
Synthesis of memristor — Based chaotic circuit

A chaotic attractor has been observed with an autonomous circuit that uses only two energystorage elements: a linear passive inductor and a linear passive capacitor. The other element is a nonlinear active memristor. This paper provides a practical implementation of a memristor based chaotic circuit. Part of this paper is also focus on a mathematical analysis memristor based chaotic system including a calculation of an eigenvalues, a largest Lyapunov exponents and a bifurcation diagram. In the second part of this paper are shown simulation and an experimental results obtained by PSpice simulations and a practical measurements on a breadboard.
E-BOP: A simple and efficient enhancement of ZigBee's BOP protocol

In this paper, we present a duty-cycle MAC protocol for cluster-tree wireless sensor networks which takes advantages of desirable features of synchronous and asynchronous duty-cycle schemes. The proposed protocol deploys ZigBee beacon-only period (BOP) approach to address beacon collision problem and enhances its performance by 1) introducing an overhead-free asynchronous adaptive duty-cycle scheduling scheme and 2) separating beacon interval and duty-cycle length, in order to improving energy efficiency and reliability and alleviating packet delivery latency, respectively. As confirmed by simulation results, the proposed scheme significantly enhances performance of BOP protocol, without incurring any additional protocol overhead.
Performance characterization of wireless devices in controlled environments

Industrial and commercial applications are increasingly migrating from wired to wireless communications, employing the technologies based on the wireless standards, such as Zigbee, WirelessHART, Wireless LAN etc. In order to ensure reliable data transfer and communication performance, wireless devices must be tested in their typical deployment environment. Field tests in a specific environment provide the most accurate performance characterization; however, these tests are time consuming and require large deployment efforts. In order to obtain sufficient data for the characterization of these devices in different configuration modes as well as application environments, we propose a closed-loop methodical approach that involves the performance characterization in three steps: simulation, emulation, and field tests. Each step provides essential inputs not only for improved deployment of the network, but also to the other steps in the proposed methodology. In this paper, we discuss the importance of both simulation and emulation tests. These real-time performance tests are undertaken in a controlled environment and they can easily be repeated for multiple transmission configurations with less time-effort as compared to the field tests. The outcomes of simulation and emulation steps can be treated as a reference for bidding and commissioning tools, before actual deployments and field tests are carried out. As a result, the deployment time and the associated costs can be significantly reduced, especially in case of large-scale networks.
Design of QSPM-MAC: Quasi-synchronous priority multi-channel MAC access protocol

Spectrum mobility poses a challenge to the medium access control (MAC) protocol design. This paper proposes a novel multi-channel MAC design, quasi-synchronous priority multi-channel (QSPM-MAC) protocol, for single transceiver device terminal of distributed cognitive radio networks (DCRN), presents a time frame structure consisting of spectrum sensing, channel access and data transmission, as well as the theoretical analysis framework. Depending on the different QoS requirements of different users, the proposed quasi-synchronous network access algorithm (QSNAA) euphemistically extends the contention time to increase the competitiveness of the cognitive users while solving the hidden terminal problem. The priority access policy based on super-slot commands the second position user (SPU) to abdicate to the primary position user (PPU), which reduces the collision probability. The results achieved from theoretical analysis and simulation show that the proposed protocol outperforms the existing protocol in many system performances.
The Brian Simulator

“Brian” is a simulator for spiking neural networks (http://www.briansimulator.org). The focus is on making the writing of simulation code as quick and easy as possible for the user, and on flexibility: new and non-standard models are no more difficult to define than standard ones. This allows scientists to spend more time on the details of their models, and less on their implementation. Neuron models are defined by writing differential equations in standard mathematical notation, facilitating scientific communication. Brian is written in the Python programming language, and uses vector-based computation to allow for efficient simulations. It is particularly useful for neuroscientific modelling at the systems level, and for teaching computational neuroscience.
2 Ontology , Epistemology , and Systems

Viable systems may be seen as third order cybernetic systems of coherent social organisations that are able to dynamically survive. Part of their survival process involves anticipation that is embedded in their logical models. The development of viable systems often occurs despite their inability to develop common patterns of knowledge for their world view holders. This has means that new anticipatory processes must be activated, when their viability may be endangered.
Influence of Prebiotics Supplementation on Lipid Profile of Broilers

The prebiotic Mannanoligosaccharide (MOS) was extracted from yeast and copra meal and evaluated for their prebiotic potentiality on serum lipid profile and abdominal fat pad. The treatment groups were fed with basal diet (T ). The basal diet was supplemented with extracted MOS from yeast [@ 0.5 g/kg 1 (T ); 1 g/kg (T )] and from copra meal [@ 1 g/kg (T ); 1.5 g/kg (T )] and with MOS sources such as yeast [MOS 2 3 4 5 equivalent of 0.5 g/kg (T ); 1 g/kg (T )] and copra meal [MOS equivalent of 1 g/kg (T ); 1.5 g/kg (T )]. A broiler 6 7 8 9 trial was conducted for a period of five week. The results revealed that serum total cholesterol concentration was significantly (P<0.01) lowered by 10, 12 and 12 per cent in birds fed with T , T and T diet respectively 2 6 7 when compared with control diet in broiler chicken at 5 week of age. There was no significant difference in th serum HDL cholesterol of birds fed with extracted MOS / MOS equivalent source except T which was found 6 significantly (P<0.05) lower than control groups. LDL cholesterol level was similar in all treatment groups except higher value observed in T (91.69±13.54mg/dl). The abdominal fat pad (percentage of live weight) 5 was found to be significantly (P<0.01) lowest in T . This study indicates that the supplementation of prebiotic 3 extracted from yeast at 0.5 and 1g/kg and copra meal at 1.5g/kg and yeast source at 1g/kg level respectively reduced the abdominal fat content.
Polynomial nonlinear spatio‐temporal integro‐difference equation models

Spatio‐temporal statistical models are ubiquitous in the environmental sciences. Often the underlying spatio‐temporal process can be written as a hierarchical state‐space process that utilizes prior understanding of the physical process to formulate models for the state transition. In situations with complicated dynamics, such as wave propagation, or population growth and dispersal models, parameterizing the transition function associated with the high‐dimensional state process may prove difficult or even impossible. One approach to overcoming this difficulty is through the use of polynomial stochastic integro‐difference equation (IDE) models. Here, in the context of discrete time and continuous space, complicated dynamics can be accommodated through redistribution kernels that are allowed to vary with space. To facilitate computation and dimension reduction, we consider a basis‐function‐expansion representation of this model. Even in this framework there are too many parameters to estimate efficiently from a classical perspective. Therefore, we utilize the hierarchical Bayesian framework in order to implement a stochastic‐search variable‐selection algorithm that mitigates these estimation issues. Finally, the method is illustrated on the problem of long‐lead prediction of equatorial sea surface temperature.
Dynamical Downscaling Projections of 21 st Century Atlantic Hurricane 1 Activity : CMIP 3 and CMIP 5 Model-based Scenarios

20 Twenty-first century projections of Atlantic climate change are downscaled to explore the 21 robustness of potential changes in hurricane activity. Multi-model ensembles using the 22 CMIP3/A1B (Late 21 st century) and CMIP5/RCP4.5 (Early and Late 21 st century) scenarios are 23 examined. Ten individual CMIP3 models are downscaled to assess the spread of results among 24 the CMIP3 (but not the CMIP5) models. Downscaling simulations are compared for 18-km grid 25 regional and 50-km grid global models. Storm cases from the regional model are further 26 downscaled into the GFDL hurricane model (9 km inner-grid spacing, with ocean coupling) to 27 simulate intense hurricanes at finer resolution. 28 A significant reduction in tropical storm frequency is projected for the CMIP3 (-27%), 29 CMIP5-Early (-20%) and CMIP5-Late (-23%) ensembles, and for five of ten individual CMIP3 30 models. Lifetime-maximum hurricane intensity increases significantly in the high-resolution 31 experiments-by 4 to 6% for CMIP3 and CMIP5 ensembles. A significant increase (+87%) in 32 the frequency of very intense (Category 4-5) hurricanes (winds >= 59 m s-1) is projected using 33 CMIP3, but smaller, only marginally significant increases are projected (+45% and +39%) for 34 the CMIP5-Early and CMIP5-Late scenarios. Hurricane rainfall rates increase robustly for the 35 CMIP3 and CMIP5 scenarios. For the late 21 st century, this increase amounts to +20 to +30% in 36 the model hurricane's inner core, with a smaller increase (~10%) for averaging radii of 200 km 37 or larger. The fractional increase in precipitation at large radii (200-400 km) approximates that 38 expected from environmental water vapor content scaling, while increases for the inner core 39 exceed this level.
Acetylation of Lysine 382 and Phosphorylation of Serine 392 in p53 Modulate the Interaction between p53 and MDC1 In Vitro

Occurrence of DNA damage in a cell activates the DNA damage response, a survival mechanism that ensures genomics stability. Two key members of the DNA damage response are the tumor suppressor p53, which is the most frequently mutated gene in cancers, and MDC1, which is a central adaptor that recruits many proteins to sites of DNA damage. Here we characterize the in vitro interaction between p53 and MDC1 and demonstrate that p53 and MDC1 directly interact. The p53-MDC1 interaction is mediated by the tandem BRCT domain of MDC1 and the C-terminal domain of p53. We further show that both acetylation of lysine 382 and phosphorylation of serine 392 in p53 enhance the interaction between p53 and MDC1. Additionally, we demonstrate that the p53-MDC1 interaction is augmented upon the induction of DNA damage in human cells. Our data suggests a new role for acetylation of lysine 382 and phosphorylation of serine 392 in p53 in the cellular stress response and offers the first evidence for an interaction involving MDC1 that is modulated by acetylation.
High Utility ITEMSET Mining from Large Database

Frequent itemset mining is one of the main problems in data mining. It has practical importance in a wide range of application areas such as decision support, Web usage mining, bioinformatics, etc. A number of relevant algorithms have been proposed in recent years for the fast access of data from the database. Mining high utility itemsets from a large database refers to the discovery of itemsets with high utility like profits. The proposed work is to mine the high utility items from the large database. The traditional association rule mining algorithm is used to find out the frequently occurring patterns of item sets. Apriori algorithm is used to find the high utility itemset. Data about the products are collected and stored in a database. Whenever customers buy the same product repeatedly the frequent pattern is formed and the infrequent items are separated. The high utility itemset is based on the user-specified utility threshold or it is a low-utility itemset. Admin maintain the entire system process like workers details, user details, product sales, raw materials. Admin can generate report based on the product sales. Admin can generate the Apriori products based on the threshold value. Admin can generate the graph for the frequently purchased products.
Estimation from Misaligned Observations with Limited Feedback

In remote sensing applications with large numbers of sensors, the global correlation structure of the sensor observations may not be known locally at the sensors. However, some knowledge of this correla- tion structure can enable the sensors to communicate collaboratively to avoid interference and combat chan- nel noise. A model is proposed for the uncertainty in correlation structure, called a fading observation model. An example of multiplicative fading obser- vations with Gaussian sources is analyzed. For this example, the end-to-end distortion scales to 0 with the number of sensors M like M 1 without fading un- der one scheme, but with fading the same scheme in- duces a distortion that is bounded away from 0. A single-bit feedback scheme is proposed to align the sensor observations that yields a scaling rate of M 1/3 .
Somatodendritic Release of Glutamate Regulates Synaptic Inhibition in Cerebellar Purkinje Cells via Autocrine mGluR1 Activation

In the cerebellum, the process of retrograde signaling via presynaptic receptors is important for the induction of short- and long-term changes in inhibitory synaptic transmission at interneuron–Purkinje cell (PC) synapses. Endocannabinoids, by activating presynaptic CB1 receptors, mediate a short-term decrease in inhibitory synaptic efficacy, whereas glutamate, acting on presynaptic NMDA receptors, induces a longer-latency sustained increase in GABA release. We now demonstrate that either low-frequency climbing fiber stimulation or direct somatic depolarization of Purkinje cells results in SNARE-dependent vesicular release of glutamate from the soma and dendrites of PCs. The activity-dependent release of glutamate caused the activation of postsynaptic metabotropic glutamate receptor 1 (mGluR1) on PC somatodendritic membranes, resulting in the cooperative release of endocannabinoids and an mGluR1-mediated slow membrane conductance. The activity of excitatory amino acid transporters regulated the spatial spread of glutamate and thus the extent of PC mGluR1 activation. We propose that activity-dependent somatodendritic glutamate release and autocrine activation of mGluR1 on PCs provides a powerful homeostatic mechanism to dynamically regulate inhibitory synaptic transmission in the cerebellar cortex.
Gene Regulation and Chromatin Remodeling by IL-12 and Type I IFN in Programming for CD8 T Cell Effector Function and Memory1

A third signal that can be provided by IL-12 or type I IFN is required for differentiation of naive CD8 T cells responding to Ag and costimulation. The cytokines program development of function and memory within 3 days of initial stimulation, and we show here that programming involves regulation of a common set of ∼355 genes including T-bet and eomesodermin. Much of the gene regulation program is initiated in response to Ag and costimulation within 24 h but is then extinguished unless a cytokine signal is available. Histone deacetylase inhibitors mimic the effects of IL-12 or type I IFN signaling, indicating that the cytokines relieve repression and allow continued gene expression by promoting increased histone acetylation. In support of this, increased association of acetylated histones with the promoter loci of granzyme B and eomesodermin is shown to occur in response to IL-12, IFN-α, or histone deacetylase inhibitors. Thus, IL-12 and IFN-α/β enforce in common a complex gene regulation program that involves, at least in part, chromatin remodeling to allow sustained expression of a large number of genes critical for CD8 T cell function and memory.
Two monokines, interleukin 1 and tumor necrosis factor, render cultured vascular endothelial cells susceptible to lysis by antibodies circulating during Kawasaki syndrome

Kawasaki syndrome (KS) is an acute febrile illness of early childhood characterized by diffuse vasculitis and marked immune activation. The present study was undertaken to determine whether the acute phase of KS is associated with circulating cytotoxic antibodies directed to target antigens induced on vascular endothelium by the monokines, IL-1, or tumor necrosis factor (TNF). Sera from 20 patients with acute KS, 11 patients in the convalescent phase of KS, and 17 age-matched controls were assessed for complement-dependent cytotoxic activity against 111In- labeled human endothelial cells (HEC), dermal fibroblasts, and vascular smooth muscle cells. Sera from patients with acute KS but not the other subject groups caused significant (p less than 0.01) complement- mediated killing of IL-1- or TNF-stimulated HEC. None of the sera tested had cytotoxicity against control HEC cultures or the other target cell types, with or without IL-1 or TNF pretreatment. Expression of the IL-1- or TNF-inducible target antigens on endothelial cells was rapid and transient, peaking at 4 h and disappearing after 24 h despite continued incubation with monokine. In contrast, we have previously shown that IFN-gamma requires 72 h to render HEC susceptible to lysis with acute KS sera. Serum adsorption studies demonstrated that IL-1- and TNF-inducible endothelial target antigens are distinct from IFN- gamma-inducible antigens. These observations suggest that mediator secretion by activated monocyte/macrophages could be a predisposing factor to the development of vascular injury in acute KS. Although our present observations have been restricted to KS, the development of cytotoxic antibodies directed to monokine-inducible endothelial cell antigens may also be found in other vasculitides accompanied by immune activation.