Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrated Exploration Methodology for Data Interleaving and Data-to-Memory Mapping on SIMD Architectures

This work presents a methodology for efficient exploration of data interleaving and data-to-memory mapping options for Single Instruction Multiple Data (SIMD) platform architectures. The system architecture consists of a reconfigurable clustered scratch-pad memory and a SIMD functional unit, which performs the same operation on multiple input data in parallel. The memory accesses contribute substantially to the overall energy consumption of an embedded system executing a data intensive task. The scope of this work is the reduction of the overall energy consumption by increasing the utilization of the functional units and decreasing the number of memory accesses. The presented methodology is tested using a number of benchmark applications with holes in their access scheme. Potential gains are calculated based on the energy models, both for the processing and the memory part of the system. The reduction in energy consumption after efficient interleaving and mapping of data is between 40% and 80% for the complete system and the studied benchmarks.
Abnormal centrosomal structure and duplication in Cep135-deficient vertebrate cells

Gene targeting was used to ablate Cep135, a component of the centriolar cartwheel, in chicken DT40 cells. Cep135-deficient cells showed no major defects in centrosome composition or function, although centrosome amplification after HU treatment increased significantly. EM revealed an unusual structure in the lumen of Cep135-null centrioles.
Morphine Activates the E Twenty Six-Like Transcription Factor-1/Serum Response Factor Pathway via Extracellular Signal-Regulated Kinases 1/2 in F11 Cells Derived from Dorsal Root Ganglia Neurons

Morphine-induced signaling via opioid receptors (ORs) in dorsal root ganglia (DRG) neurons, the spinal cord, and various brain regions has been shown to modulate gene activity. Hitherto, little attention has been paid to extracellular signal-regulated kinases-1/2 (ERK-1/2)-mediated activation of the serum response factor (SRF) and ternary complex factors (TCFs) such as the E twenty six-like transcription factor-1 (ELK-1) in this context. Using TCF/SRF-dependent reporter gene constructs, a specific ERK-1/2 inhibitor and a dominant-negative ELK-1 mutant, we show herein that morphine activates ELK-1 via ERK-1/2 in DRG-derived F11 cells endogenously expressing μ and δ ORs. Previous studies with glioma cell lines such as NG108-15 cells attributed morphine-induced gene expression to the activation of the cAMP-responsive element binding protein (CREB). Thus, we also analyzed morphine-dependent activation of CREB in F11 and NG108-15 cells. In contrast to the CREB stimulation found in NG108-15 cells, we observed an inhibitory effect of morphine in F11 cells, indicating cell type-specific regulation of CREB by morphine. To obtain data about putative target genes of morphine-induced ELK-1/SRF activation, we analyzed mRNA levels of 15 ELK-1/SRF-dependent genes in cultured rat DRG neurons and F11 cells. We identified the early growth response protein-4 (EGR-4) as the strongest up-regulated gene in both cell types and observed ELK-1 activity-dependent activation of an EGR-4-driven reporter in F11 cells. Overall, we reveal an important role of ELK-1 for morphine-dependent gene induction in DRG-derived cells and propose that ELK-1 and EGR-4 contribute to the effects of morphine on neuronal plasticity.
The role of non-pecuniary benefits in the labour allocation decision of farmers

Previous research has primarily focused on the impact of economic variables in explaining the off farm labour allocation decisions of principal farm operators. This study finds attitudes regarding the non-pecuniary benefits associated with the farming lifestyle also significantly affect behaviour by acting as a strong disincentive to farmers towards working off farm. This may suggest that even if economic returns are greater in the offfarm labour market, farmers may not supply additional labour off farm. We also employed separate models of off-farm labour market participation and off-farm labour supply and found certain variables such as a farm operator’s age and the level of diversification undergone by the farm business affect off farm labour market participation and hours supplied differently.
Detection and Correction Process Modeling Considering the Time Dependency

Most of the models for software reliability analysis are based on reliability growth models which deal with the fault detection process only. In this paper, some useful approaches to the modeling of both software fault detection and fault correction processes are discussed. Since the estimation of model parameters in software testing is essential to give accurate prediction and help make the right decision about software release, the problem of estimating the parameters is addressed. Taking into account the dependency between the fault correction process and the fault detection process, a new explicit formula for the likelihood function is derived and the maximum likelihood estimates are obtained under various time delay assumptions. An actual set of data from a software development project is used as an illustrative example. A Monte Carlo simulation is carried out to compare the predictive capability between the LSE method and the MLE method
Analysis and Design of Millimeter-Wave Power Amplifier Using Stacked-FET Structure

A new analysis methodology for millimeter-wave stacked-FET power amplifier design is proposed with a focus on the output power improvement by adjusting the complex load-admittance of each stacked-transistor. From this analysis, it is shown that there exist fundamental limitations on the maximum FET-stacking number and the operation frequency with given FET characteristics. Moreover, comprehensive analysis is performed to understand the effect of each FET parameter in limiting the number of stacks and output power. Based on this, a simple design method of C gs compensation is proposed to further increase the number of the stacks and enhance the output power. To verify analyses, various high-frequency stacked-FET PA MMICs are designed and fabricated at different frequencies with pHEMTs, mHEMTs, and CMOSFETs, which all have different maximum transition frequencies ( f T's). This paper presents comprehensive analysis to identify the limitation of the stacked-FET amplifiers at millimeter-wave frequencies and presents a new design methodology to further improve the output power performance at high frequencies.
Neural responses to peer rejection in anxious adolescents

Peer rejection powerfully predicts adolescent anxiety. While cognitive differences influence anxious responses to social feedback, little is known about neural contributions. Twelve anxious and twelve age-, gender- and IQ-matched, psychiatrically healthy adolescents received “not interested” and “interested” feedback from unknown peers during a chat room task administered in a neuroimaging scanner. No group differences emerged in subjective ratings to peer feedback, but all participants reported more negative emotion at being rejected (than accepted) by peers to whom they had assigned high-desirability ratings. Further highlighting the salience of such feedback, all adolescents, independently of anxiety levels, manifested elevated responses in the amygdala-hippocampal complex bilaterally, during the anticipation of feedback. However, anxious adolescents differed from healthy adolescents in their patterns of persistent amygdala-hippocampal activation following rejection. These data carry interesting implications for using neuroimaging data to inform psychotherapeutic approaches to social anxiety.
Consensus of networked multi-agent systems based on the networked predictive control scheme

This paper studies consensus problem of discrete-time networked multi-agent systems (NMASs) with directed networks and a communication delay. A novel consensus protocol based on the networked predictive control schemes is proposed to compensate for communication delay actively. For the NMAS with fixed directed topology and a constant delay, necessary and sufficient conditions of achieving consensus are given, which indicates that consensus is independent of the constant delay. A simulation result is further presented to demonstrate the effectiveness of theoretical results.
Multiwavelet analysis and signal processing

In this paper we present some results and applications concerning the recent theory of multiscaling functions and multiwavelets. In particular, we present the theory in compact notation with the use of some types of recursive block matrices. This allows a flexible schematization of the construction of semi-orthogonal multiwavelets. As in the scalar case, an efficient algorithm for the computation of the coefficients of a multiwavelet transform can be obtained, in which r input sequences are involved. This is a crucial point: the choice of a good prefilter which can provide a good approximation of the true initial coefficient sequences, when applied to the input data, is critical in the context of multiwavelet analysis. We explore this problem with concrete examples, showing the strong dependence of the prefilter on the chosen multiwavelet basis. Finally, an application of the multiwavelet-based algorithm to signal compression is shown. The goal is both to compare the results obtained with different multiwavelet bases, and to test the effectiveness of multiwavelets in this kind of problem with respect to scalar wavelets.
Visual querying for molecular dynamics

Nowadays, biologists deal with gigabytes of data as the results of molecular dynamics simulation. To understand and interpret the molecular dynamics results and to come up with new hypotheses the user often needs visualization and querying tools to be interactively involved in the process of visual data mining and querying of the spatio-temporal data. In this paper, we propose a novel visual query system for visualization of molecular dynamics simulation results and visual querying. The system design and its implementation are described. We propose specific visual queries for visual data analysis in molecular dynamics. The proposed visual query system is unique and allows us to formulate spatio-temporal queries that cannot be implemented directly using any available spatio-temporal database system and/or molecular visualization program.
Testing for cointegration in dependent panels via residual-based bootstrap methods

We address the issue of panel cointegration testing in dependent panels, showing by simulations that tests based on the stationary bootstrap deliver good size and power performances even with small time and cross-section sample sizes and allowing for a break at a known date. They can thus be an empirically important alternative to asymptotic methods based on the estimation of common factors. Potential extensions include test for cointegration allowing for a break in the cointegrating coe¢ cients at an unknown date.
Reduced Glomerular Function and Prevalence of Gout: NHANES 2009–10

Background The renal tubule is a major route of clearance of uric acid, a product of purine metabolism. The links between reduced glomerular filtration rate (GFR), hyperuricemia, and gout in the general population are not well understood. The objective of the present study was to estimate prevalence of gout and hyperuricemia among people with impaired GFR in the US general population. Study Design Cross-sectional, survey-weighted analyses of data on adults (age>20 years) in the 2009–10 cycle of the US National Health and Nutrition Examination Surveys (n = 5,589). Associations between self-reported physician diagnosis of gout and degrees of renal impairment were the primary focus of the present analyses. Results In the 2009–2010 period, there was an estimated 7.5 million people with gout in the US. There were 1.25 million men and 0.78 million women with moderate or severe renal impairment and gout. The age standardized prevalence of gout was 2.9% among those with normal GFR compared to 24% among those with GFR<60 ml/min/1.73 m2.In multivariable logistic regression analyses that adjusted for age, gender, body mass index, hypertension, diabetes, hypertension medications, including diuretics, blood lead levels, and hyperlipidemia, the odds ratios of gout and hyperuricemia were 5.9 (2.2, 15.7) and 9.58 (4.3, 22.0) respectively among those with severe renal impairment compared to those with no renal impairment. Approximately 2–3 fold increase in prevalence of gout was observed for each 30 ml/min/1.73 m2 decrease in GFR, after accounting for the above factors. Conclusions Renal glomerular function is an important risk factor for gout. The prevalence of hyperuricemia and gout increases with decreasing glomerular function independent of other factors. This association is non-linear and an eGFR of 60 ml/min/1.73 m2 appears to be a threshold for the dramatic increase in the prevalence of gout.
Identification of the multiscale fractional Brownian motion with biomechanical applications

Abstract. In certain applications, for instance, biomechanics, turbulence, finance or internet traffic, it seems suitable to model the data by a generalization of a fractional Brownian motion (FBM) for which the Hurst parameter H depends on the frequency as a piece‐wise constant function. These processes are called multiscale fractional Brownian motions. In this article, we provide a statistical study of the multiscale fractional Brownian motions. We developed a method based on wavelet analysis. By using this method, we calculated the frequency changes, estimated the different parameters, tested the goodness‐of‐fit and gave the numerical algorithm. Biomechanical data are then studied with these new tools.
Early Contract Termination and Specic Investment y

Early termination (i.e., rightful cancelation of future deliveries) has so far been neglected in the economics literature on breach of contracts. In this paper, I illustrate how observed legal rules, conditioning the buyer’s right to early termination on the seller’s past actions, help to solve the buyer’s holdup problem by substituting for insucient bargaining power, yet give rise to an incentive conict as the seller tries to avoid being held up in interim renegotiations. I show that this moral hazard problem by the seller is a necessary condition for the positive eects of early termination on the buyer’s investment incentives. This implies that such endogenous rules implement the rst best more often than exogenous mechanisms that assign control rights independent of past actions. The results provide an economic rationale for laws allowing for early termination but restricting this right to cases of \material" breach of contract.
Interpolation approximations for $ M | G | infty $ arrival processes

We present an approximate analysis of a discrete–time queue with correlated arrival processes of the so–called M |G|∞ type. The proposed heuristic approximations are developed around asymptotic results in the heavy and light traffic regimes. Investigation of the system behavior in light traffic quantifies the differences between the gradual M |G|∞ inputs and the point arrivals of a classical GI|GI|1 queue. In heavy traffic, salient features are effectively captured by the exponential distribution and the Mittag–Leffler special function, under short– and long–range dependence respectively. By interpolating between the heavy and light traffic extremes we derive approximations to the queue size distribution, applicable to all traffic intensities. We examine the accuracy of these expressions and discuss possible extensions of our results in several numerical examples.
Kronecker Modelling for Correlated Shadowing in UWB MIMO Channels

The shadowing in ultra wideband (UWB) channels may degrade the system performance significantly. Although UWB multipath channels exhibit high resolution in space and time. The large scale shadow fading were moderately correlated based on UWB indoor channel measurement. In this paper, a new modelling method for correlated shadowing with log-normal distribution in UWB multiple-input multiple-output (MIMO) channels is proposed based on the Kronecker model and IEEE 802.15. 3a channel model recommendation. Moreover, antenna selection technique with low hardware complexity is proposed for a UWB system with multiple receive or transmit antennas to mitigate its channel shadowing effect. The BER performance for orthogonal frequency division multiplexing (OFDM) UWB system with power based antenna selection is evaluated. Antenna selection technique is shown to be effective in mitigating the correlated shadow fading.
A Dataset Generator for Whole Genome Shotgun Sequencing

Simulated data sets have been found to be useful in developing software systems because (1) they allow one to study the effect of a particular phenomenon in isolation, and (2) one has complete information about the true solution against which to measure the results of the software. In developing a software suite for assembling a whole human genome shotgun data set, we have developed a simulator, celsim, that permits one to describe and stochastically generate a target DNA sequence with a variety of repeat structures, to further generate polymorphic variants if desired, and to generate a shotgun data set that might be sampled from the target sequence(s). We have found the tool invaluable and quite powerful, yet the design is extremely simple, employing a special type of stochastic grammar.
DATA-DRIVEN MODELING OF NON-LINEAR MICROWAVE DEVICES

An inference-based method for modeling complex non-linear systems is presented that integrates current approaches to modeling of microwave devices within a generalized non-linear framework. Familiar techniques for characterizing and emulating linear and non-linear systems are embedded in an automated weighting mechanism, so that globally complex behavior is approximated by a number of simple local models. The framework handles nonGaussianity, non-stationarity and discontinuity. It o ers meaningful parameters, such as linear lter coe cients or Volterra expansion coe cients, as well as detailed error estimates.
Gene Expression Profiling of the Cephalothorax and Eyestalk in Penaeus Monodon during Ovarian Maturation

In crustaceans, a range of physiological processes involved in ovarian maturation occurs in organs of the cephalothorax including the hepatopancrease, mandibular and Y-organ. Additionally, reproduction is regulated by neuropeptide hormones and other proteins released from secretory sites within the eyestalk. Reproductive dysfunction in captive-reared prawns, Penaeus monodon, is believed to be due to deficiencies in these factors. In this study, we investigated the expression of gene transcripts in the cephalothorax and eyestalk from wild-caught and captive-reared animals throughout ovarian maturation using custom oligonucleotide microarray screening. We have isolated numerous transcripts that appear to be differentially expressed throughout ovarian maturation and between wild-caught and captive-reared animals. In the cephalothorax, differentially expressed genes included the 1,3-β-D-glucan-binding high-density lipoprotein, 2/3-oxoacyl-CoA thiolase and vitellogenin. In the eyestalk, these include gene transcripts that encode a protein that modulates G-protein coupled receptor activity and another that encodes an architectural transcription factor. Each may regulate the expression of reproductive neuropeptides, such as the crustacean hyperglycaemic hormone and molt-inhibiting hormone. We could not identify differentially expressed transcripts encoding known reproductive neuropeptides in the eyestalk of either wild-caught or captive-reared prawns at any ovarian maturation stage, however, this result may be attributed to low relative expression levels of these transcripts. In summary, this study provides a foundation for the study of target genes involved in regulating penaeid reproduction.
CFD SIMULATION OF MULTIPHASE MELT FLOWS IN STEELMAKING CONVERTERS

The three-dimensional, transient and non-isothermal flow of melt, slag and oxygen has been simulated for a 335 t combined blowing converter with six-hole top lance and 14 bottom tuyeres. The calculation is based on the Reynolds averaged Navier-Stokes (RANS) equations and the Standard k-e model. The time-dependent formation of the melt cavities is modeled by the Volume of Fluid (VoF) approach. In order to simulate the stirring gas plumes, individual argon bubbles are released from each bottom tuyere. The bubbles are treated as dispersed phase and modeled using the Discrete Phase Model (DPM). The fundamental flow phenomena such as the penetration of the supersonic oxygen jets, the motion of the phase interfaces, the behavior of the gas plumes and the interaction with the bulk flow as well as the heat transport in the refractory lining are predicted reasonably well. However, the blowing process can only be calculated for a limited process period due to computing-time reasons. Thus, the mixing time, which gives information on the homogenization process, is calculated for pure bottom-blowing. The CFD model provides an efficient tool to describe and further improve the combined blowing process.
Resource allocation for OFDMA system under high-speed railway condition

A dynamic resource allocation algorithm is investigated for the orthogonal frequency division multiplexing access (OFMDA) system under the network architecture of High-Speed Railway (HSR). The mobile base station (MBS) on the top of the train forwards the signal received from the base station (BS) on the ground to the user equipments (UE) in the train. Due to the high mobility in the BS-MBS link, the inter-carrier interference (ICI) caused by the Doppler shift may degrade the system performance. In this paper, we aim to combat the influence of the ICI to improve the system capacity by means of the resource allocation, which includes subcarrier allocation, subcarrier pairing and power allocation. Simulation results demonstrate that the proposed resource allocation algorithm can improve the system performance dramatically.
A Climatic Stability Approach to Prioritizing Global Conservation Investments

Climate change is impacting species and ecosystems globally. Many existing templates to identify the most important areas to conserve terrestrial biodiversity at the global scale neglect the future impacts of climate change. Unstable climatic conditions are predicted to undermine conservation investments in the future. This paper presents an approach to developing a resource allocation algorithm for conservation investment that incorporates the ecological stability of ecoregions under climate change. We discover that allocating funds in this way changes the optimal schedule of global investments both spatially and temporally. This allocation reduces the biodiversity loss of terrestrial endemic species from protected areas due to climate change by 22% for the period of 2002–2052, when compared to allocations that do not consider climate change. To maximize the resilience of global biodiversity to climate change we recommend that funding be increased in ecoregions located in the tropics and/or mid-elevation habitats, where climatic conditions are predicted to remain relatively stable. Accounting for the ecological stability of ecoregions provides a realistic approach to incorporating climate change into global conservation planning, with potential to save more species from extinction in the long term.