Miracle-dz/UniFAR-FTUs huggingface dataset:
Torus Topology based Fault-Tolerant Network-on-Chip Design with Flexible Spare Core Placement

The increase in the density of the IP cores being fabricated on a chip poses on-chip communication challenges and heat dissipation. To overcome these issues, Network-onChip (NoC) based communication architecture is introduced. In the nanoscale era NoCs are prone to faults which results in performance degradation and un-reliability. Hence efficient fault-tolerant methods are required to make the system reliable in contrast to diverse component failures. This paper presents a flexible spare core placement in torus topology based faulttolerant NoC design. The communications related to the failed core is taken care by selecting the best position for a spare core in the torus network. By considering this we propose a metaheuristic based Particle Swarm Optimization (PSO) technique to find suitable position for the spare core that minimizes the communication cost. We have experimented with several application benchmarks reported in the literature by varying the network size and by varying the fault-percentage in the network. The results show significant reduction in terms of communication cost compared to other approaches.
A randomized trial comparing omega-3 fatty acid plasma levels after ingestion of emulsified and non-emulsified cod liver oil formulations

Abstract Objectives: Emulsified formulations of omega-3 fatty acids may increase plasma concentrations of docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) compared with non-emulsified formulations. The current study evaluated plasma concentrations of DHA + EPA as well as DHA and EPA individually following administration of emulsified vs non-emulsified cod liver oil formulations. Methods: In this randomized, 2-period, crossover study (ClinicalTrials.gov NCT02428699), 47 healthy adults received single doses of an emulsified cod liver oil formulation and a non-emulsified cod liver oil formulation, each containing 10% cod liver oil plus 10% cod oil and closely matched DHA and EPA content. Blood samples were collected for 24 h after dosing to analyze DHA and EPA plasma concentrations using a validated methodology. DHA + EPA, DHA, and EPA pharmacokinetics were compared using an analysis of covariance model. The incremental area under the plasma concentration curve at 24 h (iAUC0–24 h) for DHA + EPA was the primary endpoint. Results: DHA + EPA, DHA, and EPA plasma concentrations reached higher levels in plasma following administration of the emulsified vs non-emulsified formulation. The emulsified cod liver oil formulation produced iAUC0–24 h values for DHA + EPA, DHA, and EPA that were 1.66, 1.78, and 1.64 times higher, respectively, than the non-emulsified formulation; iAUC0–10 h values were 1.84, 1.96, and 1.79 times higher, respectively (all p < 0.01). Maximum concentrations of DHA + EPA, DHA, and EPA in plasma were significantly higher for the emulsified than the non-emulsified formulation (p < 0.001). Conclusions: DHA + EPA, DHA, and EPA plasma concentrations were significantly higher for the emulsified cod liver oil supplement vs the reference non-emulsified cod liver oil supplement. Trial registration: ClinicalTrials.gov identifier: NCT02428699.
A distributed brain network predicts general intelligence from resting-state human neuroimaging data

Individual people differ in their ability to reason, solve problems, think abstractly, plan and learn. A reliable measure of this general ability, also known as intelligence, can be derived from scores across a diverse set of cognitive tasks. There is great interest in understanding the neural underpinnings of individual differences in intelligence, since it is the single best predictor of longterm life success. The most replicated neural correlate of human intelligence to date is total brain volume; however, this coarse morphometric correlate says little about function. Here we ask whether measurements of the activity of the resting brain (resting-state fMRI) might also carry information about intelligence. We used the final release of the Young Adult Human Connectome Project (N=884 subjects after exclusions), providing a full hour of resting-state fMRI per subject; controlled for gender, age, and brain volume; and derived a reliable estimate of general intelligence from scores on multiple cognitive tasks. Using a cross-validated predictive framework, we predicted 20% of the variance in general intelligence in the sampled population from their resting-state connectivity matrices. Interestingly, no single anatomical structure or network was responsible or necessary for this prediction, which instead relied on redundant information distributed across the brain.
Combating Radar Pulse Jamming Using Clipping-Based Noncoherent Pulse Integration

A novel pulse integration has been put forward in which the radar receiver, before combining envelope detector outputs in all pulses, first clips them to a suitable level to suppress excessive energy inflicted by a jammer. Mathematical expressions for various decision metrics relevant to this scheme are derived. Using these metrics it is shown that the proposed scheme, when combined with frequency agility, yields healthy performance gain over similar detection schemes when operating against pulse jamming.
Point-based Methods for Medical Modeling and Simulation

Physically accurate soft tissue models find great use in medical modeling and simulation. When modeled as a continuum, soft tissue models typically rely on mesh-based techniques that are well studied. When the problem involves extreme deformations or discontinuities in the form of either material discontinuities or spatial discontinuities such as cuts and resections, the continuum assumption underlying the mesh-based methods disappears. In these cases, meshless (point-based) methods present several advantages over the former. In this paper, we present a framework for point-based simulation and cutting of soft-tissue to be used in the context of medical surgical simulation setting. The presented framework is implemented as part of the open-source medical simulation library SOFA, which focuses on real-time interactive simulations. The continuum equation of the deformable body is discretized using the meshless moving least square (MLS) based approximation scheme. The cutting operation is realized with a novel easy-to-use intrinsic meshless enrichment technique.
PROLINE APPLICATION TRIGGERS TEMPORAL REDOX IMBALANCE , BUT ALLEVIATES CADMIUM STRESS IN WHEAT SEEDLINGS

Cadmium is known to be phytotoxic and as such can heavily impact crops. The adaptation of plants to different environmental factors is accompanied by the accumulation of free proline in tissues. It is declared that treatment crops in different ways with proline is favorable in terms of tolerance to environmental stresses including heavy metal pollution. In current research the effect of pre-sowing seed treatment with different concentrations of proline (0, 5, 10 and 20 mM) on mitigation of cadmium-induced damages in winter wheat seedlings is studied. It was found that proline application itself significantly influenced only intracellular proline accumulation in wheat leaves. Exposure of seedlings to cadmium stress caused dehydration of leaves and enhancement of lipid peroxidation. Pre-sowing seed treatment with proline alleviated phytotoxic effects of heavy metal due to accumulation of intracellular proline in the leaves of seedlings, which in turn helped to preserve the water content in tissues. However, further research is needed to determine the most effective proline concentration range and way of proline application to wheat.
Content analysis of tobacco content in UK television

Aims Exposure to audiovisual tobacco content in media is a risk factor for smoking in young people. While tobacco content in films has been extensively documented, content in mainstream television has received relatively little attention. We report an analysis of tobacco content in a sample of UK free-to-air prime-time television broadcasts in 2015, and compare this with a similar analysis from 2010. Design Content analysis of all programmes and advertisements or trailers broadcast on the five national UK free-to-air channels in the UK between 18:00 and 22:00 during three separate weeks in September, October and November 2015. Setting Great Britain. Participants None (media analysis only). Measurements Occurrence of any tobacco, tobacco use, implied use, other tobacco reference/related objects and branding in every 1 min coding interval. Findings Tobacco content occurred in 33% of all programmes and 8% of all adverts or programme trailer breaks. Actual tobacco use occurred in 12% of all programmes broadcast. Tobacco-related objects, primarily no smoking signs, occurred in 2% of broadcasts; implied tobacco use and tobacco branding were also rare. The majority of tobacco content occurred after the 21:00 watershed. Conclusions These findings are virtually unchanged from our earlier analysis of programme content from 2010. Audiovisual tobacco content remains common in UK television programmes.
Implementation of Digital Image Transformation Algorithms

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/ by/4.0) ABSTRACT In computer science, Digital Image Processing or DIP is the use of computer hardware and software to perform image processing and computations on digital images. Generally, digital image processing requires the use of complex algorithms, and hence, can be more sophisticated from a performance perspective at doing simple tasks. Many applications exist for digital image processing, one of which is Digital Image Transformation. Basically, Digital Image Transformation or DIT is an algorithmic and mathematical function that converts one set of digital objects into another set after performing some operations. Some techniques used in DIT are image filtering, brightness, contrast, hue, and saturation adjustment, blending and dilation, histogram equalization, discrete cosine transform, discrete Fourier transform, edge detection, among others. This paper proposes a set of digital image transformation algorithms that deal with converting digital images from one domain to another. The algorithms to be implemented are grayscale transformation, contrast and brightness adjustment, hue and saturation adjustment, histogram equalization, blurring and sharpening adjustment, blending and fading transformation, erosion and dilation transformation, and finally edge detection and extraction. As future work, some of the proposed algorithms are to be investigated with parallel processing paving the way to make their execution time faster and more scalable.
MALDI-TOF MS Identification and Clustering Applied to Enterobacter Species in Nosocomial Setting

Enterobacter microorganisms cause important bacterial infections in humans. Recently, carbapenem resistant isolates carrying the blaKPC gene were described and their clonal transmission in different nosocomial outbreaks reported. In this study, the relative numbers of Enterobacter species, their antimicrobial susceptibility along 3 years of observation and the identification ability of the two most common MALDI-TOF platforms were evaluated. A clustering analysis was performed to identify changes in the microbial population within the nosocomial environment. Enterobacter were identified using two platforms (MALDI-TOF Biotyper and VITEK MS). Antimicrobial susceptibility was tested by Vitek2 Compact and MIC50 and MIC90 was evaluated using GraphPad software. Clustering analysis was performed by MALDI-TOF and a dendrogram was built with both platforms and compared. The most frequent species isolated were Enterobacter cloacae and Enterobacter aerogenes with a gradual increase of Enterobacter asburiae in 2017. MALDI-TOF platforms showed a very good sensitivity and specificity except for E. asburiae identification that was reliable only by MALDI-TOF MS Biotyper. An increase of resistance for Enterobacter, confirmed by the isolation of extended spectrum beta-lactamase (ESBL) strains and the emergence of E. cloacae multidrug-resistant (MDR) and carbapenem resistant strains, was observed. A clonal route of transmission involving general surgery and geriatric wards was evidenced as previously described for Klebsiella pneumoniae MDR strains in the same nosocomial setting. These data represent an important source of information about the spreading of Enterobacter in the nosocomial environment.
Functional Brain Networks in Parkinson's Disease

Parkinson's disease (PD) is the second most common and progressive neurological disorder. Parkinson's signs are caused by dysfunction in PD patient's brain network. Newly, resting state functional magnetic resonance imaging has been utilized to assess the altered functional connectivity in PD patients. In this study, we investigated the properties of the brain network topology in 19 PD patients compared to 17 normal healthy group by means of graph theory. In addition, we used four different graph formation methods to explore linear and nonlinear relationships between fMRI signals. Each correlation measure created a weighted graph for each subject. Different graph characteristics have been extracted from the weighted graphs. Finally, we discovered between groups changes by nonparametric tests such as Mann-Whitney u-test and t-test. Based on our results, PD patients exhibited a marked reduction in centralization, a global measure, compared to healthy normal group. Furthermore, we explored alterations of brain network in terms of nodal-based properties. The obtained evaluations on topological properties suggest that Parkinson made alterations to the brain functional network.
SASE: Complex Event Processing over Streams (Demo)

RFID technology is gaining adoption on an increasing scale for tracking and monitoring purposes. Wide deployments of RFID devices will soon generate an unprecedented volume of data. Emerging applications require the RFID data to be filtered and correlated for complex pattern detection and transformed to events that provide meaningful, actionable information to end applications. In this work, we design and develop SASE, a complex event processing system that performs such datainformation transformations over real-time streams. We design a complex event language for specifying application logic for such transformation, devise new query processing techniques to efficiently implement the language, and develop a comprehensive system that collects, cleans, and processes RFID data for delivery of relevant, timely information as well as storing necessary data for future querying. We demonstrate an initial prototype of SASE through a real-world retail management scenario.
Cost Effective Approach for Moving Huge Data to Cloud

Nowadays,Big Data is an emerging topic in thecloud computing arena that is getting a lot of importance. Big data is a collection of data sets which are large and complex and very difficult to process by the traditional tools. Hence the tremendous growth of demands on big data processing imposes a heavy burden on, storage in data centers, which hence includes large expenditure to providers of data centers. So to handle such large amount of data, wellsuited resources are required. Thus it becomes necessary to move data to the other place due to some reasons. So In order to move data, systems require measurable amount of time for working out. Therefore, minimization of cost has become an evolving issue for the forthcoming big data era. This paper presents a novel approach for moving huge data to the cloud which minimizes the cost of data migration. Key Words—Big Data, Cloud Computing, Cost Minimization,Data Migration
Communication Cues in Human-Robot Touch Interaction Leave

Haptic interaction is a key capability for social robots that closely interact with people in daily environments. Such human communication cues as gaze behaviors make haptic interaction look natural. Since the purpose of this study is to increase human-robot touch interaction, we conducted an experiment with 20 participants who interacted with a robot with different combinations of gaze behaviors and touch styles. The experimental results showed that both gaze behaviors and touch styles influence the changes in the perceived feelings of touch interaction with a robot.
Social stress‐potentiated methamphetamine seeking

Human studies of substance use disorder show that psychological stress and drug availability interact following rehabilitation, contributing to the high relapse potential. Social stressors trigger particularly strong motivation for drug, but how this affects neuronal function to increase relapse is unknown. Animal models, which allow for the dissection of neural mechanisms, primarily utilize physical stressors to trigger relapse. To recapitulate psychosocial post‐rehabilitation challenges in animals, we developed a model of social stress‐potentiated methamphetamine (METH) seeking. Rats receive a single social defeat (SD) session after completion of self‐administration and extinction of lever pressing. While a reminder of the SD was insufficient to reinstate METH seeking on its own, rats that received a reminder of SD followed by a METH‐priming injection displayed potentiated reinstatement over METH‐priming alone. Examination of neuronal activation patterns of the METH‐primed reinstatement session identified c‐Fos‐immunoreactivity in the basolateral amygdala (BLA) as correlated with SD score, a measure of defeat latency. Rapidly defeated rats showed potentiated METH‐primed reinstatement and elevated BLA c‐Fos compared with controls. Conversely, rats that were undefeated during the social stress did not show potentiated METH‐primed reinstatement or elevated BLA c‐Fos. Interestingly, inactivation of the BLA with baclofen/muscimol prior to the stress reminder and METH‐priming generated a potentiation of METH seeking in the undefeated rats, suggesting the BLA may mediate resilience to the stressor. This model provides a tool for the further dissection of neural mechanisms mediating social stress‐potentiated relapse and for the development of relapse‐reducing therapeutics.
An atomistic simulation based investigation on the influence of Zr addition on deformation behavior of nanocrystalline Ni

The effects of solid solution on the strength and occurrence of fracture of nanocrystalline (NC) Ni and Ni-Zr alloy having average 7 nm grain sizes are investigated using molecular dynamics simulations with embedded atom method potential. The tensile deformation of NC Ni with Zr as solutes present in two different fashions (randomly distributed in specimen and segregated at grain boundary (GB) has been performed for different temperatures at constant strain rate (10 s). It is found that addition of Zr causes enhancement in the strength and ductility as compared to NC Ni. In addition to that, increase in population fraction of Hirth and stair-rod partial dislocations aided in the increased UTS in Ni-Zr alloy. Intergranular fracture has been found to be delayed for NC Ni-Zr alloy.
Formulation and in vitro evaluation of captopril floating tablets by using natural polymers

The objective of this research is to formulate and develop gastroretentive floating matrix tablets of Captopril using natural polymers by effervescent system which will retain the drug upto 12 hours, to prepare and evaluate floating tablets of Captopril using natural polymers karaya gum, badam gum alone and in combination. Sodium bicarbonate is used as effervescent component, tablets were compressed using direct compression and wet granulation methods. The prepared tablets showed acceptable physicochemical characteristics, floating characteristics (floating lag time, floating time), swelling index, drug content and evaluated for in vitro release characteristics for 12hours in 0.1N HCl. Drug compatibility with excipients was checked by FTIR studies. Formulations with low concentration of polymers were unable to produce the desired action. The formulations prepared with combination of polymers (Karya gum+ Badam Gum) was retarding the drug release up to 12 hours (F11=96.68). From the release kinetics data it was evident that the formulation followed Higuchi release mechanism.
Introduction of a Model for Online Adjusting the Stimulation Pattern of Arm Muscles: Applicable to Compensate the FES Related Muscle Fatigue

Functional Electrical stimulation (FES) is one of the effective techniques which uses in rehabilitation method, but the rapid muscle fatigue is constraining. The objective of this study is to introduce a model to compensate the level of muscle fatigue with adjusting the stimulation pattern. The recorded data from arm muscles have been clustered into three clusters of non-fatigue, fatigue, and exhausted by using phase plane and Fuzzy C-means algorithm. The adaptive variable structure controller could produce a controlling signal to decrease the fatigue level. This controller was combined with Prandtl-Ishlinskii hysteresis model in order to control fatigue trend in the presence of muscle hysteresis. The results showed that the control signal can compensate the fatigue trend.
A G ] 9 J un 2 01 9 ESSENTIAL DIMENSION OF DOUBLE COVERS OF SYMMETRIC AND ALTERNATING GROUPS ZINOVY REICHSTEIN

I. Schur studied double covers S̃ ± n and Ãn of symmetric groups Sn and alternating groups An, respectively. Representations of these groups are closely related to projective representations of Sn and An; there is also a close relationship between these groups and spinor groups. We study the essential dimension ed(S̃ ± n ) and ed(Ãn). We show that over a base field of characteristic 6= 2, ed(S̃±n ) and ed(Ãn) grow exponentially with n, similar to ed(Spinn). On the other case, in characteristic 2, they grow sublinearly, similar to ed(Sn) and ed(An). We give an application of our result in good characteristic to the theory of trace forms.
3D Face Tracking and Texture Fusion in the Wild

—We present a fully automatic approach to real-time 3D face reconstruction from monocular in-the-wild videos. With the use of a cascaded-regressor based face tracking and a 3D Morphable Face Model shape ﬁtting, we obtain a semi-dense 3D face shape. We further use the texture information from multiple frames to build a holistic 3D face representation from the video frames. Our system is able to capture facial expressions and does not require any person-speciﬁc training. We demonstrate the robustness of our approach on the challenging 300 Videos in the Wild (300-VW) dataset. Our real-time ﬁtting framework is available as an open source library at http://4dface.org.
Physical Aging of Epoxy Molding Compound and Its Influences on the Warpage of Reconstituted Wafer

Epoxy molding compound (EMC) is a key constituent in large overmolded panel or wafer. During various packaging thermal processes, the thermal expansion mismatch between EMC and Si die and the shrinkage of EMC due to chemical or physical aging would lead to residual stress and warpage. For accurately predicting warpage in fan-out reconstituted wafer, the viscoelastic constitutive behavior and the physical aging characteristics were investigated. The viscoelastic behavior of the EMC were measured by quasi-static relaxation and creep experiments. Consistency of the viscoelastic behaviors measured from these two experiments were examined and compared to the viscoelastic model constructed from time-harmonic dynamic experiment. From the comparisons of these test results, it was found that the viscoelastic behavior measured by creep and relaxation tests are highly consistent, and the presence of physical aging in the dynamic test specimen delays the viscoelastic relaxation. In addition, physical aging leads to stress-free shrinkage comparable to the chemical-aging induced shrinkage. The chemical-thermomechanical constitutive model was also implemented to simulate warpage evolution of a reconstituted wafer.