Miracle-dz/UniFAR-FTUs huggingface dataset:
Precepts of Resilience Engineering as Guidelines for Learning Lessons from the Fukushima-Daiichi Accident

Applicability of the precepts of Resilience Engineering as guidelines to derive lessons from the severe accident at the FukushimaDaiichi Nuclear Power Station is assessed in this article. Two reports published by official investigation committees have been mainly analyzed as data sources for fact-finding. Through the analysis, the four main capabilities proposed by Resilience Engineering, i.e. responding, monitoring, anticipating and learning, are found to be extremely useful and cost-effective in preventing or mitigating nuclear power plant accidents. In addition, a sensible response to warnings is found to be critically important to ensure accident preparedness. The derived lessons are well-organized and systematized so as to be applicable to the prevention of accidents resulting not only from tsunamis but other trigger events as well. The observations obtained through the present analysis clearly highlight the applicability and effectiveness of Resilience Engineering in accident analysis and learning activities.
Authoring Object-Based Video Narratives

This demonstration presents a new approach for the authoring and delivery of online Object-based video narratives. We introduce a cross-platform desktop application which provides a graphical environment for the authoring of video narratives that can be dynamically sequenced and composited at viewing time, based upon the interactions, or context, of the audience. In addition, we present the Object-Based Storytelling Engine , a client-side JavaScript library which allows the delivery of object-based narratives in any HTML5 compliant browser.
Protecting the Core Kernel Exploitation Mitigations

The exploitation of operating system kernel vulnerabilities has received a great deal of attention lately. In userland most generic exploitation approaches have been defeated by countermeasure technologies. Contrary to userland protections, exploitation mitigation mechanisms for kernel memory corruptions have not been widely adopted. Recently this has started to change. Most operating system kernels have started to include countermeasures against NULL page mappings, stack and heap corruptions, as well as for other vulnerability classes. At the same time, researchers have concentrated on developing ways to bypass certain kernel protections on various operating systems. This whitepaper describes the state-of-the-art in kernel exploitation mitigations as adopted by various operating systems (Windows, Linux, Mac OS X, FreeBSD) and mobile platforms (iOS, Android). Moreover, it also provides approaches, hints and references to existing work for bypassing some of these kernel protections.
MULTIDISCIPLINARY PARAMETRIC OPTIMIZATION OF COOLING CHANNEL CROSS-SECTION FOR BATTERY THERMAL MANAGEMENT

In electric vehicles, the battery thermal management system (BTMS) plays an important role in driving the battery performance. Most of BTMS have a liquid cooling system and the performance of the liquid cooling channel continues to be a challenge. This study focuses on parametric optimization of the cross-section of the cooling channel using computational fluid, thermal, and structural analyses. The objective of the study is to design optimal cross-section through multi-disciplinary optimization considering thermal and structural performance. This study appreciates the use of seamless CAD-CAE integration for the optimization process. Four shapes of the cross section of the cooling fluid channel are considered and their effect on cooling performance of the battery cell is analyzed. Firstly, a computational fluid dynamic (CFD) simulation including the conjugate heat transfer effects is performed for thermal analysis of representative battery cells and fluid channel system. Following this, the steady state pressure values from the CFD analysis are mapped to the structural model of the same system in order to check the structural performance. Finally, this process is embedded in the optimization process to get the optimal cross-section design.
Apoptosis biomarkers (Apaf-1, sFa s, sFa s-L, and caspase-9), albumin, and fetuin-A levels in pulmonary thromboembolic patients

INTRODUCTION: Pulmonary thromboembolism (PE) is the third most common medical emergency with mortality due to ischemia and reperfusion lung injury. Lung ischaemia-reperfusion injury. Lung reperfusion damage is believed to cause cellular damage and apoptosis. The aim of the present study was to evaluate the levels of fetuin-A, albumin, and apoptosis biomarkers (Apaf-1, sFas, and sFasL) among pulmonary thromboembolic patients. MATERIAL AND METHODS: Blood samples were collected from 45 volunteer patients and 40 healthy control volunteers. Human apoptosis biomarkers (Apaf-1, sFas, sFasL, and caspase-9) and fetuin-A values were measured by ELISA device. Student’s t-test or Mann-Whitney U test were used for continuous variables, and categorical variables were compared with the chi-square test to assess the significance of intergroup differences. The mean values of apoptosis biomarkers and acute phase reactants between dead and survival patients were also compared. RESULTS: While the apoptosis mean values of Apaf-1, sFas, sFasL, and caspase-9 for the control group were 0.12 ± 0.01, 332.1 ± 28.0, 130.4 ± 34.6, and 74.3 ± 2.6, for the patient group they were 0.14 ± 0.02, 509.1 ± 67.6, 139.9 ± 23.7, and 79.4 ± 2.8, respectively. The group differences were significant for all the biomarkers (p = 0.01, p = 0.001, p = 0.19, and p = 0.01, respectively). The negative acute phase fetuin- A and albumin levels decreased significantly in the patient groups (p = 0.01 and p = 0.01, respectively). CONCLUSIONS: Intrinsic and extrinsic apoptosis pathways are stimulated during pulmonary embolism, and negative acute phase reactants are decreased. There was a correlation with the mortality and Apaf-1, sFas, caspase-9, fetuin, and albumin levels.
Association of Ataxin-2 rs653178 and C10orf107 rs1530440 genes variants with essential hypertension in Arab Iraqis of Babylon province

Hypertension is the persisted elevation of blood pressure above the normal rates. About 40% of adults in glob suffered from hypertension which Estimated to cause about 12.8% of total annual deaths. This high mortality can be explained because of its major role in the development of cerebrovascular and coronary heart diseases. All hypertensive cases, that do not have an explained etiology are called essential hypertension (EH), this consists about 95% of the total diagnosed hypertension cases . otherwise, it is called secondary hypertension. The recent studies implicate many genes to have an effect on the development and the susceptibility of essential hypertension. genes variants such as; rs653178 of Ataxin-2 (ATX2N) gene and rs1530440 of chromosome 10 open reading frame 107 (C10orf107) gene, represent the top hit variants that found to be significantly associated with essential hypertension in several populations. We aimed by this project, to conduct a case-control association study to evaluate the association of rs653178 and rs1530440 genetic variants with essential hypertension, in one of Iraqi provinces (Babylon) by enrolling individuals from Arab ancestry. The study enrolled 100 unrelated cases of well diagnosed essential hypertensive patients and a 70 unrelated controls of carefully selected normotensive individuals . For genotyping; we designed and optimized a polymerase chain reactionrestriction fragment length polymorphisms (PCR-RFLP) method with the presence of internal splicing sites. Concerning ATX2N rs653178, there was no significant allelic or genotypic association achieved, both patients and control groups did not deviate from Hardy-Weinberg equilibrium distribution , furthermore , the same results were achieved when the samples segregated into male and females. Concerning C10orf107 rs1530440, there was no significant allelic association achieved, but there was a significant difference in the distribution of TT genotype between patient and control groups (p =0.032) , the T allele represent a protective recessive allele which when present as homozygote (TT) it will confer a resistant to the carrier individual, all TT genotype carriers individual (N= 4) were normotensive. Furthermore, There were no significance association recorded when the samples segregated into males and females, and both patients and control groups did not deviated from Hardy-Weinberg equilibrium distribution in all studied groups. We conclude that C10orf107 genes variants represent a genetic factors which can modulate the essential hypertension susceptibility in Arab population of Babylon province .
Responses of Baseflow to Ecological Construction and Climate Change in Different Geomorphological Types in The Middle Yellow River, China

Baseflow is a critical component of streamflow in arid areas. Determining variations in baseflow and the factors affecting it have positive roles for water resource utilization in arid watersheds. Two watersheds, the Hailiutu River watershed (HLTR) and the Dali River watershed (DLR), located in two different geomorphological regions of the middle Yellow River, were selected for this study. By using the Eckhardt segment method (fourth digital filtering method, DF4), baseflow was separated from streamflow based on its daily data. Mann-Kendall trend test analysis (M-K trend test) was used to test the trends in baseflow change at different times. Complex Morlet wavelet analysis was used to judge baseflow periodicity. Heuristic segmentation and sequential cluster analysis were used to identify the potential change points in the baseflow series for the two regions together with Pearson correlation coefficient. The results showed: (1) the annual baseflow of the HLTR and the DLR showed significantly decreasing trends (P < 0.01), more significantly for the HLTR (0.33 × 108 m3) than the DLR (0.20 × 108 m3). The annual base flow index (BFI, baseflow/total streamflow) in the wind-sand region (0.75) was larger than for the loess region (0.55), and the BFI in the wind-sand region was more stable in different periods. (2) The annual baseflow of the HLTR and the DLR both exhibited a complete main cycle of 42 years and 38 years, respectively. The change points of the annual baseflow in the HLTR were 1967 and 1986, and 1971 and 1996 in the DLR. (3) There was no significant change in annual precipitation in the two watersheds, while annual reference evapotranspiration (ET0) in the DLR showed a significant increasing trend (P < 0.01). The normalized difference vegetation index (NDVI) on the DLR (0.40) was higher than on the HLTR (0.26). (4) Baseflow in the wind-sand region, where vegetation improvement was the only ecological activity, decreased faster than in the loess region where there had been numerous ecological measures such as vegetation improvement, check dams and terraces. This implied that comprehensive measures such as these were helpful in slowing the rate at which the baseflow decreases. Therefore, the effect of ecological construction should be considered in future baseflow studies in other geomorphological types within the Middle Yellow River Basin.
Prediction of financial distress in the Spanish banking system

The purpose of this study is to construct the first short-term financial distress prediction model for the Spanish banking sector. ,The concept of financial distress covers a range of different types of financial problems, in addition to bankruptcy, which is not common in the sector. The methodology used to predict financial problems was artificial neural networks using traditional financial variables according to the capital, assets, management, earnings, liquidity and sensibility system, as well as a series of macroeconomic variables, the impact of which has been proven in a number of studies. ,The results obtained show that artificial neural networks are a highly suitable method for studying financial distress in Spanish credit institutions and for predicting all cases in which an entity has short-term financial problems. ,This is the first work that tries to build a model of artificial neural networks to predict the financial distress in the Spanish banking system, grouping under the concept of financial distress, apart from bankruptcy, other financial problems that affect the viability of these entities.
www.econstor.eu The Expectations-Driven U.S. Current Account

Since 1991, survey expectations of long-run output growth for the U.S. relative to the rest of the world exhibit a pattern strikingly similar to that of the U.S. current account, and thus also to global imbalances. We show that this nding can to a large extent be rationalized in a two-region stochastic growth model simulated using expected trend growth ltered from observed productivity. In line with the intertemporal approach to the current account, a major part of the buildup of the U.S. current account de cit appears to be driven by the optimal response of households and rms to improved growth prospects. Keywords: open economy, stochastic trend growth, Kalman lter, news shocks JEL classi cation: F32, E13, E32, D83, O40. We thank Toni Braun, Dale Henderson, Heinz Herrmann, Robert Kollmann, Eric Leeper, Wolfgang Lemke, Thomas Lubik, Enrique Mendoza, Gernot Müller, Franck Portier, Stephanie Schmitt-Grohé, Lars Svensson, Mathias Trabandt, Alexander Wolman, and participants of the Bundesbank Workshop on Global Imbalances and the Crisis, the Bundesbank Spring Conference 2010, the SCE/CEF 2010 conference in London, the SEEK/CEPR 2012 Workshop in Mannheim, the EEA 2012 Meetings in Malaga, and seminar participants at the Sveriges Riksbank, the Federal Reserve Bank of Richmond, Österreichische Nationalbank and at the universities of Würzburg, Bonn, Münster, and Giessen for useful comments and discussions. Most of this research was completed while Laubach was at Goethe University Frankfurt and research professor at the Bundesbank. He gratefully acknowledges the hospitality and nancial support of the Bundesbank during that time. The views expressed in this paper are solely those of the authors and do not necessarily reect those of the Deutsche Bundesbank, the Board of Governors of the Federal Reserve System, or the sta¤s of either institution.
Characterization of Transport Phenomena in Porous Transport Layers using X-ray Microtomography

Among different methods available for the estimation of the transport properties of porous transport layers (PTLs) of polymer electrolyte membrane fuel cells, X-ray micro computed tomography (X-μCT) imaging in combination with image-based numerical simulation has been recognized as a viable tool. In this study, four commercially-available single-layer and dual-layer PTLs are analyzed using this method in order to compare and contrast transport properties between different PTLs, as well as the variability within a single sheet. Complete transport property datasets are created for each PTL. The simulation predictions indicate that PTLs with high porosity show considerable variability in permeability and effective diffusivity, while PTLs with low porosity do not. Furthermore, it is seen that the Tomadakis-Sotirchos (TS) analytical expressions for porous media match the image-based simulations when porosity is relatively low but predict higher permeability and effective diffusivity for porosity values greater than 80%. Finally, the simulations show that cracks within MPL of dual-layer PTLs have a significant effect on the overall permeability and effective diffusivity of the PTLs. This must be considered when estimating the transport properties of dual-layer PTLs. These findings can be used to improve macro-scale models of product and reactant transport within fuel cells, and ultimately, fuel efficiency.
An (opinionated) Guide to Microarray Data Analysis

The aim of these pages is to set out the author’s opinions about the best ways to deal with the most common issues in microarray data analysis. The opinions are based on experience with dozens of collaborating lab scientists, and discussions with microarray statisticians. Contributions, disputes, and opinions are welcome (and may be posted! ). These pages are intended primarily for people working in a microarray facility. The focus is on practical biological issues. There is no attempt to cover all the fancy data mining algorithms that have been developed. However I hope that statisticians and programmers will also find interesting material here.
Quantum light generation and frequency conversion with integrated nanophotonics

Qing Li1,2, Anshuman Singh1,2, Xiyuan Lu1,2, Jin Liu1,3, Christian Schneider4, Sven Höfling4, Varun Verma5, Richard Mirin5, Sae Woo Nam5, and Kartik Srinivasan1 1Center for Nanoscale Science and Technology, National Institute of Standards and Technology, Gaithersburg, MD, USA 2Maryland Nanocenter, University of Maryland, College Park, MD 20742, USA 3School of Physics, Sun-Yat Sen University, Guangzhou, 510275 China 4Technische Physik, Universitat Wurzburg, D-97074 Wurzburg, Germany 5Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, CO 80305, USA Quantum frequency conversion (QFC)1 is an important resource for photonic quantum systems, for example, in creating telecommunications-band links for systems that naturally operate at other wavelengths and enabling interfaces between disparate physical systems. Experiments on high-dimensional entangled states based on frequency bin encoding2 suggest that QFC can play an important role in such work as well. Recently, there have been advances in creating efficient frequency conversion technology based on scalable nanophotonics3,4. Here, we present two experiments that combine such nanophotonic QFC devices with nanophotonic quantum light sources (Fig. 1). The first experiment (Fig. 1(a)) combines photon pair generation based on spontaneous-four-wave mixing (SFWM) in Si3N4 microring resonators with QFC based on four-wave mixing Bragg scattering (FWM-BS) in similar Si3N4 microrings. We first characterize quantum correlations between the signal and idler photons produced by the SFWM source. We find that the level of these correlations is unchanged after one of the photons is sent through the QFC device, which spectrally shifts its wavelength by a few nanometers with an on-chip efficiency of 25 %. Next, we turn the originally non-degenerate SFWM source (i.e., signal and idler photons at different frequencies) into an effectively degenerate source through QFC. By spectrally shifting the signal photon to a wavelength near that of the idler, we are able to perform Hong-Ou-Mandel experiments in which we observe quantum beats of single photons as the frequency of the converted signal is swept across that of the idler. In a second experiment (Fig. 1(b)) we switch the source to a quantum dot single-photon source5. We compare the level of photon antibunching (g(2)(τ)) before and after QFC of the quantum dot single photons, and find that the light remains antibunched with g(2)(0)< 0.5 throughout. Finally, we will discuss general noise and bandwidth considerations associated with our microring QFC devices, and how this influences their on-chip integration with other elements. We will also discuss how FWM-BS can be extended to enable telecom-band interfaces3, as well other types of frequency-domain quantum state manipulation.
Influence of Processing on Physicochemical, Nutritional and Phytochemical Composition of Ficus carica (Fig) Fruit

In this study, the effects of three different processing methods, sun drying (SD), freezing (FRS), microwave drying(MDS) and fresh fruits for Ficus carica in terms of proximate, physical, nutritional and phytochemical composition have been studied. These local variety of fruits were selected from Himachal, (India). These fruits were obtained fresh, cleaned and washed prior to selected techniques. Analysis of data showed that drying techniques improved the protein, carbohydrates, ash content, dietary fiber (neutral detergent fiber, acid detergent fiber, cellulose, hemicelluloses and lignin), total phenol, antioxidant activities and mineral content. Drying destroyed total flavonoids, tannin, alkaloid and anthocyanin content. The result obtained in this research is clearly indicated that some processing methods are proved good for more nutrient retension as compared to others. This study aim to make consumers aware of the effects of processing methods on nutritional value of fruits and that they should become accustomed to eating seasonal fresh fruits
Analysis of healthy cohorts for single nucleotide polymorphisms in C1q gene cluster

Article info: Received: 7 August 2015 Accepted: 30 October 2015 ABSTRACT C1q is the first component of the classical pathway of complement activation. The coding region for C1q is localized on chromosome 1p34.1–36.3. Mutations or single nucleotide polymorphisms (SNPs) in C1q gene cluster can cause developing of Systemic lupus erythematosus (SLE) because of C1q deficiency or other unknown reason. We selected five SNPs located in 7.121 kbp region on chromosome 1, which were previously associated with SLE and/or low C1q level, but not causing C1q deficiency and analyzed them in terms of allele frequencies and genotype distribution in comparison with Hispanic, Asian, African and other Caucasian cohorts. These SNPs were: rs587585, rs292001, rs172378, rs294179 and rs631090. One hundred eighty five healthy Bulgarian volunteers were genotyped for the selected five C1q SNPs by quantative realtime PCR methods. International HapMap Project has been used for information about genotype distribution and allele frequencies of the five SNPs in, Hispanics, Asians, Africans and others Caucasian cohorts. Bulgarian healthy volunteers and another pooled Caucasian cohort had similar frequencies of genotypes and alleles of rs587585, rs292001, rs294179 and rs631090 SNPs. Nevertheless, genotype AA of rs172378 was significantly overrepresented in Bulgarians when compared to other healthy Caucasians from USA and UK (60% vs 31%). Genotype distribution of rs172378 in Bulgarians was similar to Greek-Cyriot Caucasians. For all Caucasians the major allele of rs172378 was A. This is the first study analyzing the allele frequencies and genotype distribution of C1q gene cluster SNPs in Bulgarian healthy population.
GLOBAL AND REGIONAL THERMOPHYSICAL PROPERTIES OF THE SURFACE OF ASTEROID

RYUGU. Y. Shimaki1, H. Senshu2, N. Sakatani1, T. Okada1,3, T. Fukuhara4, S. Tanaka1,5, M. Taguchi4, T. Arai6, H. Demura7, K. Suko7, T. Sekiguchi8, T. Kouyama9, J. Takita10, S. Hasegawa1. 1Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (3-1-1 Yoshinodai, Chuo, Sagamihara, Kanagawa 252-5210, Japan, shimaki@planeta.sci.isas.jaxa.jp). 2Chiba Institute of Technology, Japan. 3University of Tokyo, Japan. 4Rikkyo University, Japan. 5The Graduate University for Advanced Studies, SOKENDAI, Japan. 6Ashikaga University, Japan. 7University of Aizu, Japan. 8Hokkaido University of Education, Japan. 9National Institute of Advanced Industrial Science and Technology (AIST), Japan. 10Hokkaido Kitami Hokuto High School, Japan.