Miracle-dz/UniFAR-FTUs huggingface dataset:
Studying Grain Boundary Strengthening by Dislocation-Based Strain Gradient Crystal Plasticity Coupled with a Multi-Phase-Field Model

One ambitious objective of Integrated Computational Materials Engineering (ICME) is to shorten the materials development cycle by using computational materials simulation techniques at different length scales. In this regard, the most important aspects are the prediction of the microstructural evolution during material processing and the understanding of the contributions of microstructural features to the mechanical response of the materials. One possible solution to such a challenge is to apply the Phase Field (PF) method because it can predict the microstructural evolution under the influence of different internal or external stimuli, including deformation. To accomplish this, it is necessary to take into account plasticity or, specifically, non-homogeneous plastic deformation, which is particularly important for investigating the size effects in materials emerging at the micron length scale. In this work, we present quasi-2D simulations of plastic deformation in a face centred cubic system using a finite strain formulation. Our model consists of dislocation-based strain gradient crystal plasticity implemented into a PF code. We apply this model to study the influence of grain size on the mechanical behavior of polycrystals, which includes dislocation storage and annihilation. Furthermore, the initial state of the material before deformation is also considered. The results show that a dislocation-based strain gradient crystal plasticity model can capture the Hall-Petch effect in many aspects. The model reproduced the correct functional dependence of the flow stress of the polycrystal on grain size without assigning any special properties to the grain boundaries. However, the predicted Hall-Petch coefficients are significantly smaller than those found typically in experiments. In any case, we found a good qualitative agreement between our findings and experimental results.
MODEL OF INNOVATION PROCESSES USED IN POLISH CONFECTIONERY INDUSTRY ENTERPRISES

Goal – Identification of actions which make up innovative processes in confectionery enterprises. Research methodology – The entities selected for the study fulfill two criteria: they are Polish enterprises operating in the confectionery industry (entities with dominant equity, with headquarters in Poland) and have market shares of at least 5% (measured by the value of sales revenues in 2017 at the minimum level of PLN 100 million). All the companies which met the above criteria were identified; then ten enterprises were chosen from that group. The research was carried out with the help of a survey questionnaire. Score – Innovative processes usually begin with research on consumer needs, which indicates the use of a demand innovation model. Furthermore, the more actions an innovative process comprises, the less willingly it is used by enterprises. Originality/Value – The paper has a cognitive value of the innovation process models used by confectionery enterprises. The author proposes a modification to the current model.
A general framework for validated continuation of periodic orbits in systems of polynomial ODEs

In this paper a parametrized Newton-Kantorovich approach is applied to continuation of periodic orbits in arbitrary polynomial vector fields. This allows us to rigorously validate numerically computed branches of periodic solutions. We derive the estimates in full generality and present sample continuation proofs obtained using an implementation in Matlab. The presented approach is applicable to any polynomial vector field of any order and dimension. A variety of examples is presented to illustrate the efficacy of the method.
Dominant mutations in ORAI 1 cause tubular aggregate myopathy with hypocalcemia via constitutive activation of store-operated Ca 2 1 channels

Department of Clinical Development, Translational Medical Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8556, Japan, Department of Neuromuscular Research and Department of Mental Retardation and Birth Defect Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8502, Japan, Department of Pediatrics, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan, Department of Synthetic Chemistry and Biological Chemistry, Graduate School of Engineering, Kyoto University, Kyoto 615-8510, Japan, Tokyo Women’s Medical University Institute for Integrated Medical Sciences (TIIMS), Shinjuku, Tokyo 162-8666, Japan, Department of Neurophysiology, Tokyo Medical University, Tokyo 160-8402, Japan, Department of Human Genetics, Graduate School of Medicine, Yokohama City University, Yokohama 236-0004, Japan, Department of Pediatrics, Dokkyo Medical University, Koshigaya Hospital, Koshigaya, Saitama 343-8555, Japan, Department of Diabetes and Endocrinology, Osaka Saiseikai Nakatsu Hospital, Osaka 530-0012, Japan, Division of Pediatric Neurology, Kanagawa Children’s Medical Center (KCMC), Yokohama 232-8555, Japan, Division of Pediatrics, Yokosuka Kyosai Hospital, Yokosuka, Kanagawa 238-8558, Japan and Division of Pediatrics, Kawasaki Municipal Hospital, Kawasaki, Kanagawa 210-0013, Japan
Taylor Rules and the Predictability of Interest Rates

Recent research suggests that commonly estimated dynamic Taylor rules augmented with a lagged interest rate imply too much predictability of interest rate changes compared with yield curve evidence. We show that this is not sufficient proof against the Taylor rule: the result could be driven by other equations of the model that the Taylor rule is embedded in. To disentangle the effects, we study the predictability of all variables in a simple model of monetary policy: inflation, the output gap, and the interest rate, and we compare with evidence from survey data and a VAR model. We find that the strongest evidence against the Taylor rule is that while it is easy to predict the variables that enter the rule, it is very hard to predict actual interest rate changes. This is consistent with usual Taylor-type rules if policy shocks are very large, but it is more likely that there are other aspects of monetary policy behaviour that are neglected by the Taylor rule.
INTELLIGENT IPv 6 BASED IOT NETWORK MONITORING AND SYSTEM ON COOJA FRAMEWORK

Internet of Things (IoT) has pretty much taken the digital world by storm. The way of information being produced and outputted is through m communication.But, with sensors acting as middlew brings us with even higher state of connectivity and interactivity. On the basis paper discusses and addresses the issues of packet monitoring of IoT device simulations in Cooja framework. Addressing this issue is tantamount to addressing the security and packet loss issue in Cooja framework; a simulator provided by Con develop and run IoT enabled systems.
Kinetic Monte Carlo model of screw dislocation-solute coevolution in WRe alloys

Kinetic Monte Carlo model of screw dislocationsolute coevolution in W-Re alloys Yue Zhao, Lucile Dezerald, Jaime Marian (1.Dept. of Materials Science and Engineering, University of California Los Angeles, United States of America, 2.Dept. of Mechanical and Aerospace Engineering, University of California Los Angeles, United States of America, 3.Institut Jean Lamour, University of Lorraine, France) [SY-C1]
Accounting for a Positive Correlation between Pension and Consumption Taxes

This draft: August 2012 Abstract. We attempt to account for a puzzling comovement between pension level and the consumption tax rate observed in the OECD data. First, using a standard overlapping generations model with lifetime uncertainty, we can find a set of optimal policy combinations of taxes and pension, but they cannot account for the data. Second, to resolve this puzzle, we consider welfare states where pension level is higher than the optimal level due to external and/or institutional reasons. In this setting, our analysis of optimal tax mix demonstrates that strengthening consumption taxation (relative to income taxation) can improve welfare, i.e., accounting for the proposed puzzle. Third, we also find that population aging further boosts the role of consumption taxation, reinforcing our main findings. Finally, our results lend support to recent pension reforms: when expanding welfare benefits, most countries tend to resort to consumption tax financing.
Still in the Ghetto? Experiences of Secretarial Work in the 21st Century: SECRETARIAL WORK IN THE 21ST CENTURY

Secretarial work has been described as one of the most persistently gendered of all occupations. Historically, it has been characterized as a ghetto occupation with three key features: low status and poor pay, narrow and feminized job content and poor promotion prospects. Twenty years ago, when a major study last took place in the UK, it was thought that new office technologies might transform the role, leading to a newly defined occupation equally appealing to both men and women. In this article, we report on the findings of a questionnaire survey involving 1011 secretaries. We found evidence of continuity and change. Secretaries are now better qualified and generally well-paid. A minority is undertaking complex managerial tasks. However, most secretaries continue to perform traditional tasks and career prospects for all remain bleak. We conclude that processes of role gender-typing are deeply entrenched and that secretarial work remains largely a ghetto occupation.
A Real-Business-Cycle Model with Efficiency Wages and Fiscal Policy : The Case of Bulgaria

In this paper we investigate the quantitative importance of efficiency wages in explaining fluctuations in Bulgarian labor markets. This is done by augmenting an otherwise standard real business cycle model a la Long and Plosser (1983) with unobservable workers effort by employers and wage contracts as in Shapiro and Stiglitz (1984). This imperfection in labor markets introduces a strong propagation mechanism that allows the model to capture the business cycles in Bulgaria better than earlier models. The model performs well vis-a-vis data, especially along the labor market dimension, and in addition dominates the market-clearing labor market framework featured in the standard RBC model, e.g Vasilev (2009).
Auditory compensation for reverberation in normal hearing listeners

The present study investigates the ability of the auditory system to compensate for the immediate effect of reverberation on speech intelligibility. In the experiments, the spectro-temporal properties of a speech signal are modi ed by reverberation that smears the signal. Reverberation can be viewed as a natural lowpass modulation lter and generally reduces speech intelligibility. However, recent research has shown that the auditory system appears to compensate for this effect by taking the reverberant environment into account (Watkins, 2005). This compensation mechanism is functional after a short adaptation period (less than 1 s) and enhances the ability of the auditory system to detect smeared speech modulations. In the present study, the compensation mechanism was investigated in a simulated room with a high degree of reverberation. Two experimental setups were used in order to verify the existence of compensation for reverberation, but the results of the experiments could not confirm the earlier ndings of Watkins (2005).
Input Mask Encoder z Decoder Reconstructed Mask a ) VAE Input Mask Action CNN b ) Action CNN Predicted Action Probability Fixed Action

We introduce a novel action conditioned image synthesis task and a method to solve it in the context of a basketball activity. Given a target action category, which encodes an egocentric motion trajectory of a current player, our model synthesizes a visual signal of an opposing player that would possibly cause the current player to perform that action. Our action conditioned image synthesis model consists of 1) a variational autoencoder (VAE), which generates masks of an opposing player, and 2) an ensemble of discriminative Action CNNs, which predict the next action of a current player. Initially, we train these two components of our system separately. Afterwards, we attach each Action CNN to the last layer of the VAE, and freeze the parameters of all the networks. During inference, given a target action category, we maximize its prediction probability at each Action CNN by backpropagating the gradients to the latent code of the VAE. Doing so iteratively, forces VAE to synthesize images that have high probability of a target action category. We show that our model generates realistic images that are associated with specific action categories, and it outperforms standard baselines by a large margin.
Related Literature and hypotheses for determinants of IPO survival

This paper examines the role of lockup agreements on the survival of 580 UK Initial Public Offerings (IPOs) during the period of 1990-2006. Our results suggest that lockup length positively affects the survival and IPO firms with longer lockups exhibit better survival rates and times; thus lending support to the views that lockups signal firm quality. Our study highlights the impact of choice of lockup characteristics on the subsequent survival of newly public firms. JEL Classification: G24, G32
Mid-shelf to surf zone coupled ROMS-SWAN model-data comparison of waves , currents , and temperature : Diagnosis of subtidal forcings and response N

A coupled wave and circulation model that includes tide, wind, buoyancy, and wave processes is necessary to investigate tracer exchange in the shelf region. Here a coupled ROMS-SWAN model resolving mid-shelf to surf zone region of the San Pedro Bay, CA is compared to observations from the 2006 Huntington Beach experiment. Waves are well modeled and surf zone crossand alongshore velocities are reasonably well modeled. Modeled and observed rotary velocity spectra compare well in subtidal and tidal bands, and temperature spectra compare well in the subtidal band. Observed and modeled mid and inner-shelf subtidal velocity ellipses and temperature variability determined from the first vertical (c)EOF mode have similar vertical structure. Although the modeled subtidal velocity vertical shear and stratification are weaker than observed, the ratio of stratification to shear is similar, suggesting model vertical mixing consistent with observations. On fortnightly and longer time-scales, the surface heat flux and advective heat flux divergence largely balance on the inner-shelf and surfzone. The surf zone and inner-shelf alongshore currents separated by 220 m are unrelated. Both modeled and observed subtidal alongshelf current and temperature are cross-shelf coherent seaward of the surf zone. Wind forcing explains 50% of the observed and modeled inner-shelf alongshore current variability. The observed and modeled inner-shelf v̄ alongshelf non-uniformity are similar. Inferred inner-shelf wave induced crossshore exchange is more important than on the US East Coast. Overall, the coupled ROMS-SWAN model represents well the waves and subtidal circulation dynamics from the mid-shelf to the surf zone.
Assessment of the compliance with minimum acceptable technical parameters proposed by PI-RADS v2 guidelines in multiparametric prostate MRI acquisition in tertiary referral hospitals in the Republic of Turkey.

PURPOSE Although the clinical use of multiparametric prostate magnetic resonance imaging (mpMRI) is increasing, the adherence to parameters for mpMRI which had been described in the Prostate Imaging-Reporting and Data System version 2 (PI-RADSv2) for an optimum image acquisition is unknown. In this paper, we aimed to determine the compliance with the minimum acceptable technical parameters for prostate mpMRI defined by PI-RADSv2 in tertiary care centers in Turkey. METHODS We sent a survey to all radiology departments of tertiary referral hospitals in Turkey (n = 120) to evaluate their adherence to PI-RADSv2 technical specifications. Statistical analysis was performed using Chi-square, Fisher Exact, ANOVA, and the Student`s t tests. The cut-off values for image acquisition times were also determined with ROC analysis. P - values <0.05 were considered statistically significant. RESULTS One hundred and eleven clinics responded to our survey (response rate = 92.5%). Prostate MRI was reported to be performed in 61 centers. 26 (42.6%) centers used 3 T (Tesla) scanner while 1.5T was used in 35 (57.4%) centers. The adherence to slice thickness (ST), in-plane phase and frequency resolutions on T2WI were 68.9%, 41% and 9.8% respectively. The adherence to the same parameters on DWI were higher compared to T2WI (85.2%, 62.3% and 78.7%, respectively). In comparative analysis, the adherence to ST, field of view (FOV) and in-plane phase resolution on T2WI were higher for 3T compared with 1.5T scanners (P = 0.004, P = 0.041 and P = 0.001, respectively). T2WI acquisition time was significantly longer for the centers adhered to T2WI-FOV (P = 0.034) and in-plane T2WI phase resolution (P = 0.028). The DWI scan time was significantly longer when they adhered to DWI-FOV (P = 0.014) and b-value≥1400s/mm2 (P = 0.008). The calculated cut-off values were 220 seconds in T2WI and 312 seconds in DWI to ensure the compliance with voxel sizes and b-value criterias. CONCLUSION The tertiary referral centers in Turkey did not meet most of the technical specifications of PI-RADSv2 during prostate MRI acquisition. Awareness to the minimum acceptable technical parameters of mpMRI should be increased to potentially improve the quality of prostate cancer imaging.
Title : Controlling the growth mode of para-sexiphenyl ( 6 P ) on ZnO by partial fluorination

We report on the impact of partial fluorination of para-sexiphenyl (6P) on the growth mode when deposited on the non-polar ZnO 1010 surface. The evolution of the thin film structure and morphology is monitored by in situ atomic force microscopy and in situ real-time X-ray scattering. Both 6P and its symmetrical, terminally fluorinated derivative (6P-F4) grow in a highly crystalline mode, however, with a distinctly different morphology. While 6P films are characterised by the formation of two different phases with three-dimensional nanocrystallites and consequently a rather rough surface morphology, layer-by-layer growth and phase purity in case of 6P-F4 prevails leading to smooth terraced thin films. We relate the different growth behaviour to specifics of the thin film structure. Page 1 of 20 Physical Chemistry Chemical Physics
THE EFFECT OF DURATIONAL CUES ON THE REASSIGNMENT OF A SYLLABLE IN THE METRICAL STRUCTURE OF CZECH SENTENCES

Examinations of the acoustic correlates of lexical stress in Czech revealed final lengthening operating at the level of individual words: a word-final (nonnuclear and phrase-internal) vowel was shown to be significantly longer than word-internal vowels. This study aimed to find whether listeners are sensitive to these temporal details: in ambiguous word– pseudoword sequences read by four speakers, the duration of the first vowel of the pseudoword was lengthened to see whether this would result in the reassignment of the given syllable as the final syllable of the preceding word. A perception test was individually administered to 45 respondents. The results show that listeners tend to reassign a syllable even in some sentences without temporal changes, although less frequently. Moreover, the perception strongly depends on the particular sentence, with only some behaving according to expectations. The results are discussed especially with respect to cue weighting in speech perception.
Climate Change and Social Inequality 1

This paper offers a unifying conceptual framework for understanding the relationship between climate change and “within-country inequalities,” referred here collectively as “social inequality. ” Available evidence indicates that this relationship is characterized by a vicious cycle, whereby initial inequality causes the disadvantaged groups to suffer disproportionately from the adverse effects of climate change, resulting in greater subsequent inequality. The paper identifies three main channels through which the inequality-aggravating effect of climate change materializes, namely (a) increase in the exposure of the disadvantaged groups to the adverse effects of climate change; (b) increase in their susceptibility to damage caused by climate change; and (c) decrease in their ability to cope and recover from the damage suffered. The paper presents evidence to illustrate each of the processes above. It also notes that the same analytical framework can be used to discuss the relationship between climate change and inequality across countries. Finally, it points to the ways in which the analysis can be helpful in making relevant policy decisions. JEL Classification: Q53, Q56, Q59
Feature Selection from 3D Brain Model for Some Dementia Subtypes Using Genetic Algorithm

Brain scans that are appropriate to the medical standards are obtained from magnetic resonance imaging devices. Through image processing techniques, 3D brain models can be constructed by mapping medical brain imaging files structurally. Physical characteristics of patient brains can be extracted from those 3D brain models. Characteristics of some specific brain regions are more efficacious in predicting the type of the disease. For that reason, researches are made for finding the worthwhile features out using cortical volumes, gray volumes, surface areas, and thickness averages for left and right brain parts separately or together. The main objective of this work is determining more influential sections throughout the entire brain in establishing the clinical diagnosis. To that end, among all the measurements exported from 3D models, the significant brain features that are effective in identifying some dementia subtypes are sought. The dataset has 3D brain models generated from magnetic resonance scans of 63 samples. Each sample is labeled with one of the following three disease types: Alzheimer’s disease (19), frontotemporal dementia (19), and vascular dementia (25). The genetic algorithm based wrapper feature selection method with various classifiers is proposed to select the features that state the aforementioned dementia subtypes best. The tests are performed by applying cross validation technique and confusion matrices are shown. At the end, the best features are listed, and the accuracy results up to 95.2% are achieved.