Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Design of a Path-Setup Architecture for Exploiting Hybrid Photonic-Electronic NoCs

Future many-core systems will require energy-efficient, high-throughput and low-latency communication architectures. Silicon Photonics appears today as a promising solution to achieve these goals. However, the photonics inability to perform inflight buffering and logic suggests the use of Hybrid Photonic-Electronic architectures. In order to exploit the full potential of photonics, it is essential to thoroughly design the Path-Setup architecture, which is the primary source of performance degradation and power consumption. In this paper, we propose a new power-aware path-setup protocol able to put allocated circuits on a stand-by state, rapidly recovering them when needed. We compare in terms of performance and energy consumption some path-setup architectural solutions that differ from each other in the routing algorithm, the path-setup protocol and the deadlock avoidance technique. The results show that the proposed protocol outperforms other solutions in terms of performance and energy efficiency. In addition, this comparison will help many-core system designers to select the most appropriate path-setup architecture according to traffic characteristics and network size.
A Workstation for the Quantitative Analysis of Real-Time Myocardial Contrast Echocardiography

The real-time myocardial contrast echocardiography (RT MCE) is a new echocardiography technology, which allows clinicians to evaluate the perfusion of myocardial capillary of patients, noninvasively and accurately. We designed a workstation for the quantitative analysis of RT MCE. The system was capable of estimating some hemodynamic parameters of myocardial micro-circulation, and computing time-intensity curves to indicate the variation of the intensity of microbubbles scatting for various myocardial segments in subendocardial and subepicardial. The system also conformed to the digital imaging and communications in medicine (DICOM) standard and could be integrated into the picture archiving and communication system (PACS). The examples of clinical study indicated the clinical effectiveness of the system and the reliability of the quantitative analysis techniques employed in the system.
The everchanging pulsating white dwarf GD358

We report 323 hours of nearly uninterrupted time series photometric observations of the DBV star GD 358 acquired with the Whole Earth Telescope (WET) during May 23rd to June 8th, 2000. We acquired more than 232000 independent measurements. We also report on 48 hours of time-series photometric observations in Aug 1996. We detected the non-radial g-modes consistent with degree l = 1 and radial order 8 to 20 and their linear combinations up to 6th order. We also detect, for the first time, a high amplitude l = 2 mode, with a period of 796 s. In the 2000 WET data, the largest amplitude modes are similar to those detected with the WET observations of 1990 and 1994, but the highest combination order previously detected was 4th order. At one point
“Developing Holistic Nursing Interventions to Improve Adolescent Health”

Adolescents learn health behaviors in a sociocultural context of community, family, and peers. Although many adolescents engage in behaviors that protect and promote health, others engage in behaviors that threaten or compromise their health. The purpose of this review article is to provide an overview of health-risk behaviors and the morbidities and mortalities of adolescence that are related to these behaviors. Interventions that address these health behaviors and outcomes are presented along with suggestions for a holistic nursing response to this important public health concern.
Enhancement of polarization in a spin-orbit coupling quantum wire with a constriction

We investigate the enhancement of spin polarization in a quantum wire in the presence of a constriction and a spin-orbit coupling segment. It is shown that the spin-filtering effect is significantly heightened in comparison with the configuration without the constriction. It is understood in the studies that the constriction structure plays a critical role in enhancing the spin filtering by means of confining the incident electrons to occupy one channel only while the outgoing electrons occupy two channels. The enhancement of spin filtering has also been analyzed within the perturbation theory. Because the spin polarization arises mainly from the scattering between the constriction and the segment with spin-orbit coupling, the subband mixing induced by spin-orbit interaction in the scattering process and the inferences result in higher spin-filtering effect.
Impact of Experienced Disgust on Information-Processing Biases in Contamination-Based OCD: An Analogue Study

The present study examined the influence of experienced disgust on information-processing biases, as assessed by a lexical decision task, among participants high (HCF; n = 33) and low (LCF; n = 21) in contamination-based OCD. Consistent with prior work, participants were significantly slower at responding to disgust words compared to fear, happy, and neutral words, while the other word types did not significantly differ from each other. In a neutral mood induction condition, HCF individuals were significantly slower, compared to LCF individuals, in responding to all emotional words, but not neutral words. However, there were no differences between LCF and HCF individuals in reaction times to any word contents in the disgust mood induction condition. Subsequent analyses also revealed that for females, HCF individuals were significantly slower, compared to LCF individuals, in responding to emotional words, but not to neutral words. However, for males, there were no significant differences between the LCF an.
Candida albicans Quorum Sensing Molecules Stimulate Mouse Macrophage Migration

ABSTRACT The polymorphic commensal fungus Candida albicans causes life-threatening disease via bloodstream and intra-abdominal infections in immunocompromised and transplant patients. Although host immune evasion is a common strategy used by successful human fungal pathogens, C. albicans provokes recognition by host immune cells less capable of destroying it. To accomplish this, C. albicans white cells secrete a low-molecular-weight chemoattractive stimulant(s) of macrophages, a phagocyte that they are able to survive within and eventually escape from. C. albicans opaque cells do not secrete this chemoattractive stimulant(s). We report here a physiological mechanism that contributes to the differences in the interaction of C. albicans white and opaque cells with macrophages. E,E-Farnesol, which is secreted by white cells only, is a potent stimulator of macrophage chemokinesis, whose activity is enhanced by yeast cell wall components and aromatic alcohols. E,E-farnesol results in up to an 8.5-fold increase in macrophage migration in vitro and promotes a 3-fold increase in the peritoneal infiltration of macrophages in vivo. Therefore, modulation of farnesol secretion to stimulate host immune recognition by macrophages may help explain why this commensal is such a successful pathogen.
Radial basis function neural network optimized by a genetic algorithm for soybean protein sequence residue spatial distance prediction

The spatial ordering information of amino acid residues in a protein primary sequence is an important factor in the determination of protein three-dimensional structure (tertiary structure). In this paper, we describe a radial basis function neural network, whose hidden centers and radial basis function widths are optimized by a genetic algorithm, for the purpose of predicting three dimensional spatial distance location from primary sequence information. Experimental evidence on soybean protein sequences indicates the utility of this approach.
Distinctive Immunomodulatory and Inflammatory Properties of the Escherichia coli Type II Heat-Labile Enterotoxin LT-IIa and Its B Pentamer following Intradermal Administration

ABSTRACT The type I and type II heat-labile enterotoxins (LT-I and LT-II) are strong mucosal adjuvants when they are coadministered with soluble antigens. Nonetheless, data on the parenteral adjuvant activities of LT-II are still limited. Particularly, no previous study has evaluated the adjuvant effects and induced inflammatory reactions of LT-II holotoxins or their B pentameric subunits after delivery via the intradermal (i.d.) route to mice. In the present report, the adjuvant and local skin inflammatory effects of LT-IIa and its B subunit pentamer (LT-IIaB5) were determined. When coadministered with ovalbumin (OVA), LT-IIa and, to a lesser extent, LT-IIaB5 exhibited serum IgG adjuvant effects. In addition, LT-IIa but not LT-IIaB5 induced T cell-specific anti-OVA responses, particularly in respect to induction of antigen-specific cytotoxic CD8+ T cell responses. LT-IIa and LT-IIaB5 induced differential tissue permeability and local inflammatory reactions after i.d. injection. Of particular interest was the reduced or complete lack of local reactions, such as edema and tissue induration, in mice i.d. inoculated with LT-IIa and LT-IIaB5, respectively, compared with mice immunized with LT-I. In conclusion, the present results show that LT-IIa and, to a lesser extent, LT-IIaB5 exert adjuvant effects when they are delivered via the i.d. route. In addition, the low inflammatory effects of LT-IIa and LT-IIaB5 in comparison to those of LT-I support the usefulness of LT-IIa and LT-IIaB5 as parenterally delivered vaccine adjuvants.
BACI: International Trade Database at the Product-Level (the 1994-2007 Version)

This paper documents the construction of BACI, our international trade database, which covers more than 200 countries and 5,000 products, between 1994 and 2007. New approaches have been developed to reconcile data reported by almost 150 countries to the United Nations Statistics Division, collated via COMTRADE. When both exporting and importing countries report to Comtrade, we have two different figures for the same flow, so it is useful to reconcile these into a single figure. To do this, firstly, as import values are reported CIF (cost, insurance and freight) while exports are reported FOB (free on board), transport and insurance rates have to be estimated and removed from import values. We regress the observed CIF/FOB ratios for a given flow on gravity variables and a product-specific world median unit value. In a second step we evaluate the reliability of countries reporting. We decompose the absolute value of the ratios of mirror flows using a (weighted) variance analysis. These measures of the reliability of reported data are used as weights in the reconciliation of each bilateral trade flow which is reported twice. Taking advantage of this bilateral information on each flow, we end up with a large coverage of countries and more reliable data, especially in terms of unit-values. BACI is freely available online to users of COMTRADE database, in different product classifications.
The Role of the Prefrontal Cortex in Recognition Memory and Memory for Source: An fMRI Study

We employed fMRI to index neural activity in prefrontal cortex during tests of recognition and source memory. At study, subjects were presented with words displayed either to the left or right of fixation, and, depending on the side, performed one of two orienting tasks. The test phase consisted of a sequence of three 10-word blocks, displayed in central vision. For one block, subjects performed recognition judgements on a mixture of two old and eight new words (low density recognition). For another block, recognition judgements were performed on a mixture of eight old and two new words (high density recognition). In the remaining block, also consisting of eight old and two new items, the requirement was to judge whether each word had been presented at study on the left or the right. Relative to the low density condition, high density recognition was associated with increased activity in right and, to a lesser extent, left, anterior prefrontal cortex (BA 10), replicating the findings of two previous PET studies. Right anterior prefrontal activity did not show any further increase during the source task. Instead, greater activity was found, relative to high density recognition, in left BA 10, left inferior frontal gyrus (BA 45/47), and bilateral opercular cortices (BA 45/47). The findings are inconsistent with the proposal that activation of right anterior prefrontal cortex during memory retrieval reflects "postretrieval" processing demands, such demands being considerably greater for judgments of source than recognition. The findings provide further evidence that the left prefrontal cortex plays a role in episodic memory retrieval when the task explicitly requires recovery of contextual as well as item information.
Visualization and analysis of software clones

Code clones are identical or similar fragments of code in a software system. Simple copy-paste programming practices of developers, reusing existing code fragments instead of implementing from the scratch, limitations of both programming languages and developers are the primary reasons behind code cloning. Despite the maintenance implications of clones, it is not possible to conclude that cloning is harmful because there are also benefits in using them (e.g. faster and independent development). As a result, researchers at least agree that clones need to be analyzed before aggressively refactoring them. Although a large number of state-of-the-art clone detectors are available today, handling raw clone data is challenging due to the textual nature and large volume. To address this issue, we propose a framework for large-scale clone analysis and develop a maintenance support environment based on the framework called VisCad. To manage the large volume of clone data, VisCad employs the Visual Information Seeking Mantra: overview first, zoom and filter, then provide details-on-demand. With VisCad users can analyze and identify distinctive code clones through a set of visualization techniques, metrics covering different clone relations and data filtering operations. The loosely coupled architecture of VisCad allows users to work with any clone detection tool that reports source-coordinates of the found clones. This yields the opportunity to work with the clone detectors of choice, which is important because each clone detector has its own strengths and weaknesses. In addition, we extend the support for clone evolution analysis, which is important to understand the cause and effect of changes at the clone level during the evolution of a software system. Such information can be used to make software maintenance decisions like when to refactor clones. We propose and implement a set of visualizations that can allow users to analyze the evolution of clones from a coarse grain to a fine grain level. Finally, we use VisCad to extract both spatial and temporal clone data to predict changes to clones in a future release/revision of the software, which can be used to rank clone classes as another means of handling a large volume of clone data. We believe that VisCad makes clone comprehension easier and it can be used as a test-bed to further explore code cloning, necessary in building a successful clone management system.
A height-difference-based ray tracing of point models

Representation and rendering techniques of point models are important in computer graphics. The main drawbacks of current ray tracing methods for point models are coarse rendering effects in the parts of silhouettes and sharp features and high computation cost. We propose a ray tracing method for point models, based on the height difference function defined by blending projective distances between the point of ray and the corresponding splats. Our method performs high rendering qualities in particular in the parts of silhouettes and sharp features, because the height difference function precisely approximates geometric features in the joint part of splats. Moreover, the computation of intersection of our method is viewpoint-independent. The experiments show that our method performs good rendering quality and has high convergence rate.
Impedance shaping for parallel operation of inverters in islanded AC microgrids

This paper proposes a new decentralized control strategy for parallel inverters operating in an islanded Microgrid. The proposed technique uses the Uncertainty and Disturbance Estimation (UDE) strategy in order to generate a virtual output impedance while keeping the voltage of the internal Elctro-Motive Force (EMF) source equal for all the inverters in the system. The system achieves accurate current sharing over a broad spectrum, which is proportional to the inverter capacity. Simulation results are provided to illustrate the performance of this method1.
Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off‐Target Effects from Chemical Structure

Preclinical Safety Pharmacology (PSP) attempts to anticipate adverse drug reactions (ADRs) during early phases of drug discovery by testing compounds in simple, in vitro binding assays (that is, preclinical profiling). The selection of PSP targets is based largely on circumstantial evidence of their contribution to known clinical ADRs, inferred from findings in clinical trials, animal experiments, and molecular studies going back more than forty years. In this work we explore PSP chemical space and its relevance for the prediction of adverse drug reactions. Firstly, in silico (computational) Bayesian models for 70 PSP‐related targets were built, which are able to detect 93 % of the ligands binding at IC50≤10 μM at an overall correct classification rate of about 94 %. Secondly, employing the World Drug Index (WDI), a model for adverse drug reactions was built directly based on normalized side‐effect annotations in the WDI, which does not require any underlying functional knowledge. This is, to our knowledge, the first attempt to predict adverse drug reactions across hundreds of categories from chemical structure alone. On average 90 % of the adverse drug reactions observed with known, clinically used compounds were detected, an overall correct classification rate of 92 %. Drugs withdrawn from the market (Rapacuronium, Suprofen) were tested in the model and their predicted ADRs align well with known ADRs. The analysis was repeated for acetylsalicylic acid and Benperidol which are still on the market. Importantly, features of the models are interpretable and back‐projectable to chemical structure, raising the possibility of rationally engineering out adverse effects. By combining PSP and ADR models new hypotheses linking targets and adverse effects can be proposed and examples for the opioid μ and the muscarinic M2 receptors, as well as for cyclooxygenase‐1 are presented. It is hoped that the generation of predictive models for adverse drug reactions is able to help support early SAR to accelerate drug discovery and decrease late stage attrition in drug discovery projects. In addition, models such as the ones presented here can be used for compound profiling in all development stages.
Scenic Routes Now: Efficiently Solving the Time-Dependent Arc Orienteering Problem

Due to the availability of large transportation (e.g., road network sensor data) and transportation-related (e.g., pollution, crime) data as well as the ubiquity of car navigation systems, recent route planning techniques need to optimize for multiple criteria (e.g., travel time or distance, utility/value such as safety or attractiveness). In this paper, we introduce a novel problem called Twofold Time-Dependent Arc Orienteering Problem (2TD-AOP), which seeks to find a path from a source to a destination maximizing an accumulated value (e.g., attractiveness of the path) while not exceeding a cost budget (e.g., total travel time). 2TD-AOP has many applications in spatial crowdsourcing, real-time delivery, and online navigation systems (e.g., safest path, most scenic path). Although 2TD-AOP can be framed as a variant of AOP, existing AOP approaches cannot solve 2TD-AOP accurately as they assume that travel-times and values of network edges are constant. However, in real-world the travel-times and values are time-dependent, where the actual travel time and utility of an edge depend on the arrival time to the edge. We first discuss the practicality of this novel problem by demonstrating the benefits of considering time-dependency, empirically. Subsequently, we show that optimal solutions are infeasible (NP-hard) and solutions to the static problem are often invalid (i.e., exceed the cost budget). Therefore, we propose an efficient approximate solution with spatial pruning techniques, optimized for fast response systems. Experiments on a large-scale, fine-grained, real-world road network demonstrate that our approach always produces valid paths, is orders of magnitude faster than any optimal solution with acceptable accumulated value.
SMETANA: Accurate and Scalable Algorithm for Probabilistic Alignment of Large-Scale Biological Networks

In this paper we introduce an efficient algorithm for alignment of multiple large-scale biological networks. In this scheme, we first compute a probabilistic similarity measure between nodes that belong to different networks using a semi-Markov random walk model. The estimated probabilities are further enhanced by incorporating the local and the cross-species network similarity information through the use of two different types of probabilistic consistency transformations. The transformed alignment probabilities are used to predict the alignment of multiple networks based on a greedy approach. We demonstrate that the proposed algorithm, called SMETANA, outperforms many state-of-the-art network alignment techniques, in terms of computational efficiency, alignment accuracy, and scalability. Our experiments show that SMETANA can easily align tens of genome-scale networks with thousands of nodes on a personal computer without any difficulty. The source code of SMETANA is available upon request. The source code of SMETANA can be downloaded from http://www.ece. tamu.edu/~bjyoon/SMETANA/.
Thelytokous Parthenogenesis in Unmated Queen Honeybees (Apis mellifera capensis): Central Fusion and High Recombination Rates

The subspecies of honeybee indigenous to the Cape region of South Africa, Apis mellifera capensis, is unique because a high proportion of unmated workers can lay eggs that develop into females via thelytokous parthenogenesis involving central fusion of meiotic products. This ability allows pseudoclonal lineages of workers to establish, which are presently widespread as reproductive parasites within the honeybee populations of South Africa. Successful long-term propagation of a parthenogen requires the maintenance of heterozygosity at the sex locus, which in honeybees must be heterozygous for the expression of female traits. Thus, in successful lineages of parasitic workers, recombination events are reduced by an order of magnitude relative to meiosis in queens of other honeybee subspecies. Here we show that in unmated A. m. capensis queens treated to induce oviposition, no such reduction in recombination occurs, indicating that thelytoky and reduced recombination are not controlled by the same gene. Our virgin queens were able to lay both arrhenotokous male-producing haploid eggs and thelytokous female-producing diploid eggs at the same time, with evidence that they have some voluntary control over which kind of egg was laid. If so, they are able to influence the kind of second-division meiosis that occurs in their eggs post partum.