Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization Model of Load and Transportation for Prefabricated Construction Components

Low utilization rate of transport vehicle for prefabricated construction (PC) components is one important reason of the high transportation cost. On the basis of analyzing the geometrical characteristics of PC components and installation sequence, the vehicle load capability and principles are taken as constraint conditions, aiming to maximize load quantity, the optimization model of load and transportation for PC Components is established by programming theory. It can achieve reasonable division of bulk and organization of load transportation problem, control the load transportation cost. By comparative analysis in practice, it can be proved that the optimized load scheme is superior to the original one, it can reduce the number of transport vehicles used, and also significantly reduce the transportation cost. It will provide reference to the practice of transportation cost control of PC components.
Elektromagnetická indukce: 3-D modelování nespojitou Galerkinovou metodou

This work deals with numerical modeling of electromagnetic induction in 3D environment with heterogeneous conductivity. We develop a program to solve Maxwell’s equations in quasistatic approximation by using Continuous and Discontinuous Finite Elements. Their implementation in the numerical library deal.ii is discussed. The obtained numerical results are compared with each other and also with a quasianalytic solution for an environment with 1D heterogeneous conductivity. We discuss different numerical methods, limits of our code for practical use and possible future enhancements.
Experimental Investigation of Fluid Dynamics in a Gravitational Local Recirculation Photobioreactor

Experimental Investigation of Fluid Dynamics in a Gravitational Local Recirculation Photobioreactor Monica Moroni*, Agnese Cicci, Marco Bravi Dipartimento di Ingegneria Civile Edile e Ambientale, Sapienza Universita di Roma, v. Eudossiana 18, 00184 Roma, Italia Dipartimento di Ingegneria Chimica Materiali Ambiente, Sapienza Universita di Roma, v. Eudossiana 18, 00184 Roma, Italia monica.moroni@uniroma1.it
The Opportunistic Pathogen Sphaeropsis Sapinea is Found to be one of the Most Abundant Fungi in Symptomless and Diseased Scots Pine in Central-Europe

Background: The opportunistic and latent pathogen Sphaeropsis sapinea is one of the most important forest pathogens on pine. The fungus may cause Diplodia tip blight on several coniferous trees and disease symptoms come visible when trees are weakened by stress, usually related to injuries and drought. This project compares the mycobiome of healthy and diseased Scots pines. Twigs were sampled in June and September 2018 in a German forest stand with varying health status of the sampled Scots pines. Growth of 2017 and 2018 were sampled and cultivable, filamentous fungi isolated and the mycobiome was analysed by high-throughput sequencing (HTS) of the internal transcribed spacer 2 (ITS2) region. Results: A PERMANOVA analysis confirmed that the mycobiome community composition significantly differed between growth years (p < 0.001) and sampling time (p < 0.001) but not between healthy and diseased trees. Higher amount of S. sapinea was observed in June and the growth year 2017. Besides yeasts which were neglected, 23 ascomyceteous fungal endophytes were isolated. S. sapinea was the most common endophyte isolated and the second common in HTS data. It was highly abundant in symptomless (healthy) trees. Conclusion: Results highlights the ability of S. sapinea to accumulate unnoticed before disease outbreaks, implementing the sudden threat for Scots pines in the future.
Product Innovations in Emerging Economies: The Role of Foreign Knowledge Access Channels and Internal Efforts in Chinese Firms

In this paper, we theoretically and empirically investigate factors that contribute to product innovation by firms in emerging markets. Combining the innovation literature with the latecomer literature on ‘catch-up’ strategies of firms in newly industrialized economies, we posit that access to foreign knowledge is essential for fostering product innovation. In particular, we investigate how innovation clusters formed by inward foreign direct investments in an emerging market and export activities of a firm are effective channels for acquiring foreign knowledge. We also suggest firms that invest in research and development and marketing activities benefit further from access to foreign knowledge due to increased absorptive capacity. Empirically, we employ information on over 160,000 indigenous manufacturing firms in China in 2005–2006. We find strong empirical support for our theoretical framework and conclude by discussing the implications for both theory and managerial practice.
Supply Chain Operational Capability Affecting Business Performance of Creative Industries

The creative industries can be used as a potential sector in order to reduce social problems and contribute to improve economy. The sustainability of this industry operation can be overcome by increasing the supply chain operational capability, such as, structural capabilities, logistics and technology. The purpose of this study is to collect detailed information on the implementation of supply chain operational capability in the creative industries and the extent of its effect on their performance. This research is categorized as descriptive and quantitative study through observation, documentation and literature review. This study also used an interview and delivered questionnaires to collect data through 155 respondents. The focus area of the creative industries in this study is printing businesses and crafts. Multiple regressions with SPSS Software tools was used to analyze the primary. Based on the results of this study, structural capability, logistics and technology have simultaneously affected to the performance of the creative industries. However, the technological capability partially has negative impact on the performance of the creative industries. Subsequent research in the area of this study is needed by using other research methods with the aim to enrich the concepts related to supply chain management. Keywords—creative industries; supply chain operational capability
Hubble Space Telescope Scattered-light Imaging and Modeling of the Edge-on Protoplanetary Disk ESO-Hα 569

We present new Hubble Space Telescope (HST) Advanced Camera for Surveys observations and detailed models for a recently discovered edge-on protoplanetary disk around ESO-Hα 569 (a low-mass T Tauri star in the Cha I star-forming region). Using radiative transfer models, we probe the distribution of the grains and overall shape of the disk (inclination, scale height, dust mass, flaring exponent, and surface/volume density exponent) by model fitting to multiwavelength (F606W and F814W) HST observations together with a literature-compiled spectral energy distribution. A new tool set was developed for finding optimal fits of MCFOST radiative transfer models using the MCMC code emcee to efficiently explore the high-dimensional parameter space. It is able to self-consistently and simultaneously fit a wide variety of observables in order to place constraints on the physical properties of a given disk, while also rigorously assessing the uncertainties in those derived properties. We confirm that ESO-Hα 569 is an optically thick nearly edge-on protoplanetary disk. The shape of the disk is well-described by a flared disk model with an exponentially tapered outer edge, consistent with models previously advocated on theoretical grounds and supported by millimeter interferometry. The scattered-light images and spectral energy distribution are best fit by an unusually high total disk mass (gas+dust assuming a ratio of 100:1) with a disk-to-star mass ratio of 0.16.
Race in the War on Drugs: The Social Consequences of Presidential Rhetoric

One of the president's main leadership tools for influencing the direction of U.S. legal policy is public rhetoric. Numerous studies have examined the president's use of the “bully pulpit” to lead policy by influencing Congress or public opinion, or by changing the behavior of public agencies. We argue that the president can use rhetoric to change the behavior of public agencies and that this can have important social consequences. We focus on the disproportionate impact of presidential rhetoric on different “target populations” in the context of the War on Drugs. Specifically, we observe that presidential rhetoric had a greater impact on state arrest rates for African Americans than for whites, even when controlling for alternative explanations. These findings suggest that presidential rhetoric is filtered through social constructions of public policy problems when public officials act on them.
On continuity of minimizers for certain quadratic growth functionals

In this paper we treat the regularity problem for minimizers u(x) : › ‰ R m ! R n of quadratic growth functionals R › A(x;u;Du)dx. About the de- pendence on the variable x we assume only that A(¢;u;p) is in the class V MO as a function of x. Namely, we do not assume the continuity of A(x;u;p) with respect to x. We will prove a partial regularity result for the case m • 4.
BUILDING THE STELLAR HALO THROUGH FEEDBACK IN DWARF GALAXIES

We present a new model for the formation of stellar halos in dwarf galaxies. We demonstrate that the stars and star clusters that form naturally in the inner regions of dwarfs are expected to migrate from the gas-rich, star-forming center to join the stellar spheroid. For dwarf galaxies, this process could be the dominant source of halo stars. The effect is caused by stellar-feedback-driven bulk motions of dense gas which, by causing potential fluctuations in the inner regions of the halo, couple to all collisionless components. This effect has been demonstrated to generate cores in otherwise cuspy cold dark matter profiles and is particularly effective in dwarf galaxy halos. It can build a stellar spheroid with larger ages and lower metallicities at greater radii without requiring an outside-in formation model. Globular-cluster-type star clusters can be created in the galactic ISM and then migrate to the spheroid on 100 Myr timescales. Once outside the inner regions, they are less susceptible to tidal disruption and are thus long lived; clusters on wider orbits may be easily unbound from the dwarf to join the halo of a larger galaxy during a merger. A simulated dwarf galaxy (Mvir ≃ 109 M☉ at z = 5) is used to examine this gravitational coupling to dark matter and stars.
ASSOCIATION OF FTO GENE VARIANT (RS8050136) WITH TYPE 2 DIABETES AND MARKERS OF OBESITY, GLYCAEMIC CONTROL AND INFLAMMATION POVEZANOST VARIJANTE FTO GENA (RS8050136) SA TIPOM 2 DIJABETESA I MARKERIMA GOJAZNOSTI, GLIKEMIJSKE KONTROLE I INFLAMACIJE

1Department of Biochemistry and Clinical Analysis, Faculty of Pharmacy, University of Sarajevo, Sarajevo, Bosnia and Herzegovina 2Clinics for Endocrinology, Diabetes and Metabolism Diseases, University Clinical Centre of Sarajevo, Sarajevo, Bosnia and Herzegovina 3General Hospital of Tesanj, Tesanj, Bosnia and Herzegovina 4Department of Pathophysiology, Faculty of Pharmacy; University Sarajevo, Sarajevo, Bosnia and Herzegovina 5The Chair of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia 6Institute for Clinical Biochemistry and Diagnostics, University Hospital Hradec Kralove, Hradec Kralove, Czech Republic 7Faculty of Engineering and Natural Sciences, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina
Financial traders network and systemic risk spillover channels

In this paper I estimate the financial network among 8 types of traders across 5 different capital markets, which are stock, stock derivative, bond, bond derivative, and foreign exchange derivative market. The causal relationship between two traders are identified with nonlinear granger causality and each trader’s connectedness measure is obtained by the network structure. In order to overcome the limit of VAR which most of previous literature assumes and reflect real trading decision making procedures, expectation forecasting of traders’ net trading volume on next day is included in analyses. Expectation forecasting values are predicted with LSTM (Long Short Term Memory) which is one of the most popularly used machine learning method. In addition, the systemic risk spillover channels are investigated using network measures. I model 3-phased systemic risk spillover channel which is the link of the volatility of financial indexes, traders network measure and traders daily net trading volumes. I find that given the shock of financial indexes, 3 traders among 40 traders become central and another 3 traders rapidly lose their influence regardless of the sort of financial indexes. Secondly, when the shock is given in those traders network measures, the traders in different markets are shown to have more sensitive responses. Finally with the shock on the sensitive traders daily net trading volumes, strong auto-correlation between impulse and response as well as the phenomenon which traders from different markets respond actively, are also found. These are the evidences of systemic risk spillover channels through traders. This research can contribute to the previous research in that the financial networks which reflect real trading environments are estimated, and that machine learning methods are applied to network estimation. Furthermore, the results of systemic risk spillover channels can be helpful to policy makers including financial regulators and practitioners. ∗Department of Economics, University of Bath, Bath BA2 7AY, Great Britain, E-Mail: J.Hwang@bath.ac. uk
Robo-AO Kepler Survey. V. The Effect of Physically Associated Stellar Companions on Planetary Systems

The Kepler light curves used to detect thousands of planetary candidates are susceptible to dilution due to blending with previously unknown nearby stars. With the automated laser adaptive optics instrument, Robo-AO, we have observed 620 nearby stars around 3857 planetary candidates host stars. Many of the nearby stars, however, are not bound to the KOI. We use galactic stellar models and the observed stellar density to estimate the number and properties of unbound stars. We estimate the spectral type and distance to 145 KOIs with nearby stars using multi-band observations from Robo-AO and Keck-AO. Most stars within 1″ of a Kepler planetary candidate are likely bound, in agreement with past studies. We use likely bound stars and the precise stellar parameters from the California Kepler Survey to search for correlations between stellar binarity and planetary properties. No significant difference between the binarity fraction of single and multiple-planet systems is found, and planet hosting stars follow similar binarity trends as field stars, many of which likely host their own non-aligned planets. We find that hot Jupiters are ∼4× more likely than other planets to reside in a binary star system. We correct the radius estimates of the planet candidates in characterized systems and find that for likely bound systems, the estimated planetary radii will increase on average by a factor of 1.77, if either star is equally likely to host the planet. Lastly, we find the planetary radius gap is robust to the impact of dilution.
Integrin α 6 A splice variant regulates proliferation and the Wnt / β-catenin pathway in human colorectal cancer cells

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com Carcinogenesis vol.35 no.6 pp.1217–1227, 2014 doi:10.1093/carcin/bgu006 Advance Access publication January 8, 2014
Intervention and Instruction with Video for Students with Autism: A Review of the Literature.

Efficacy research on video based instruction for children with autism is a promising area for practitioners and researchers. Researchers are successfully using video to teach a variety of social and functional skills. This literature review synthesizes these findings and examines critical features of each of the studies that contribute most to the ways of educators, care givers and others can best employ video to teach young people with autism. While this area of research is expanding, more detailed studies are needed to better describe specific aspects of video based instruction.
Edinburgh Research Explorer Efficacy and safety of rivaroxaban in patients with diabetes and nonvalvular atrial fibrillation

Background The prevalence of both atrial fibrillation (AF) and diabetes mellitus (DM) are rising, and these conditions often occur together. Also, DM is an independent risk factor for stroke in patients with AF. We aimed to examine the safety and efficacy of rivaroxaban vs warfarin in patients with nonvalvular AF and DM in a prespecified secondary analysis of the ROCKET AF trial. Methods We stratified the ROCKET AF population by DM status, assessed associations with risk of outcomes by DM status and randomized treatment using Cox proportional hazards models, and tested for interactions between randomized treatments. For efficacy, primary outcomes were stroke (ischemic or hemorrhagic) or non – central nervous system embolism. For safety, the primary outcome was major or nonmajor clinically relevant bleeding.
The Merits of Mixing Methods in Evaluation

Evaluators are challenged to understand human behavior in all of its natural complexity and individuality. Our work is conducted in natural settings, where history and context matter, where human behavior traces complex patterns of influence and relationship, where what is meaningful to those in the setting is both phenomenological and structural, arising from both lived experiences and the societal institutions that frame and shape those experiences. Engaging this complexity requires not a privileging of just one way of knowing and valuing, but rather a marshalling of all of our ways of understanding in a framework that honors diversity and respects difference. This framework is advanced in this article as a mixed-method way of thinking. A presentation of key concepts in the framework is followed by case examples from the US.
Sloshing Effects in Half-Full Horizontal Cylindrical Vessels Under Longitudinal Excitation

A mathematical model is developed for sloshing effects in half-full horizontal cylindrical vessels, under external excitation in the direction of the longitudinal vessel axis. In this geometry the problem is not separable. The velocity potential is expressed in a double series form, and after some mathematical manipulation the problem results in a series of systems of ordinary linear differential equations, one for each longitudinal mode. For the particular case of harmonic motion, a semi-analytical solution is possible. Keeping only the first two terms of the expansion in the transverse direction, an elegant formulation of remarkable accuracy is obtained. Hydrodynamic pressures and forces are calculated for harmonic excitation and for a real seismic motion event. Finally, the equivalence between the half-full horizontal cylinder and an equivalent rectangle is demonstrated.
Exponential Family Estimation via Dynamics Embedding

We present an efficient algorithm to solve maximum likelihood estimation (MLE) for general exponential family, even in cases when the natural parameter is represented by a deep neural network. Popular algorithms such as Contrastive Divergence require computing an expensive sampler through Markov chain Monte Carlo methods and are inefficient. Rooted in a novel primal-dual view of the MLE, the proposed algorithm jointly learns the model as well as a dual sampler for the exponential family. Inspired by the recent success in dynamics-based sampling algorithms, we further parametrize the sampler by mimicking various dynamical systems, resulting in different neural network architectures as dynamics embeddings. Through coupled model and sampler learning, the proposed algorithm achieves both efficient sampling and estimation. Finally, we test the proposed estimator empirically on several synthetic benchmarks.
3 rd Amino Acid Workshop Variability in Planning and Assessment : Statistical Considerations and Models 1

Nutrition researchers are called upon to inform policymakers of the consequences of consuming different amounts of various nutrients: how much is enough, how much is too much, and why. Traditionally, requirements were described by population-average levels and some measure of between-individual variation, whereas toxicities were described by single levels above which a toxic response was likely to occur. These statistics were used to estimate the prevalence of various adverse health effects in individual populations. Recently, accumulated data and improved understanding have led to more complete descriptions of the utilization of a few important nutrients and to the formulation of a model that includes both requirement and toxicity as extremes of the healthy-intake spectrum. This approach is based on estimating the full statistical distributions of individual nutritional deficits and surfeits within a population and using this to derive prevalence curves for specific adverse health effects. This information promises to provide policy planners with better tools to judge the health of populations, design feeding programs, and predict the sequelae of modifications in food supply and dietary habits. J. Nutr. 134: 1610S–
Implementation of cross-talk canceling filters with warped structures-Subjective evaluation of the loudspeaker reproduction of stereo recordings

Sound reproduction within a car compartment is a difficult task. Reverberation, reflection, echo, noise and vibrations are some of the issues to account for. A first step in the direction of increasing sound comfort is the equalization of the magnitude of the acoustic pressure response in the frequency domain. A more advanced technique (“spatial equalization”) controls also the phase of the signals, and allows for the virtual displacement of the sound sources, improving stereo imaging and spatial envelopment. These techniques may be implemented in real-time by FIR filters, whose coefficients are obtained by inversion of the measured impulse responses. However this often results in very high number of taps, therefore more complex techniques must be adopted, which rely also on psychoacoustics considerations. In this paper warped inverse filters for target car cockpits spatial equalization were designed, implemented on a SHARC 21065L DSP, and their performance was validated through objective measurements and subjective experiments.