Miracle-dz/UniFAR-FTUs huggingface dataset:
Purification of the yeast Slx 5 – Slx 8 protein complex and characterization of its DNA-binding activity

SLX5 and SLX8 encode RING-finger proteins that were previously identified based on their requirement for viability in yeast cells lacking Sgs1 DNA helicase. Slx5 and Slx8 proteins are known to be required for genome stability and to physically interact in yeast extracts; however, their biochemical functions are unknown. To address this question we purified and characterized recombinant Slx5 and Slx8 proteins. Here we show that Slx5 and Slx8 form a heterodimeric complex with double-stranded DNA (dsDNA)-binding activity. Individually, only the Slx8 subunit displays this activity. Structure–function studies indicate that the DNA-binding activity requires only the N-terminal 160 amino acids of Slx8, but not its C-terminal RING-finger domain. Alleles of SLX8 that express the RING-finger domain alone show almost complete complementation in yeast indicating that this DNA-binding domain is not essential for this in vivo function. Consistent with these findings we show that Slx5 immunolocalizes to the nucleus and that a portion of the Slx8 protein co-fractionates with chromatin. These results suggest that Slx5–Slx8 may act directly on DNA to promote genome stability.
Analysis of attitude errors in GRACE range-rate residuals - a comparison between SCA1B and the reprocessed attitude fused product (SCA1B +ACC1B).

The precision of the attitude in the inter-satellite ranging missions like GRACE is one of the important requirement. It is required not only for the mission performance but also for the good quality of the gravity field models which are estimated from the inter-satellite ranging measurements. Here we present a comparative study of the analysis of two attitude datasets. One of them is the standardSCA1Brelease 2 datasets provided by JPL NASA and another is the reprocessed attitude computed atTU Graz by combining the angular accelerations and the standardSCA1Brelease2 datasets. Further, we also present the impact of the attitude datasets on the inter-satellite range measurements by analyzing their residuals. Our analysis reveals the significant improvement in the attitude due to the reprocessed product and reduced value of residuals computed from the reprocessed attitude.
You're Banned! The Effect of Sanctions on German Cross-Border Financial Flows

This paper examines the effect of financial sanctions on cross-border capital flows. While sanctions can be expected to hinder international transactions, thereby putting political and economic pressure on a target country, we study the patterns of adjustment in bilateral financial relationships after the imposition of sanctions along various dimensions. Our analysis is based on highly disaggregated, monthly data from the German balance of payments statistics for the period from 2005 through 2014. During this time, Germany imposed financial sanctions on 20 countries; two of these sanctions have been lifted. Applying a differences-in-differences approach, we find two key results. First, financial sanctions have a strong and immediate negative effect on cross-border financial flows, with flows reduced in either direction. Second, sanctions imposed by the European Union alone, and therefore only enforced by their member countries instead of the United Nations, are possibly partly evaded.
Analisis Penyakit Jantung Menggunakan Metode KNN Dan Random Forest

Jantung merupakan organ tubuh manusia yang mempunyai peran penting dalam kehidupan manusia dan pastinya sangat berbahaya. Angina stable yaitu nyeri atau rasa tidak nyaman pada dada yang terjadi saat aktivitas atau stres. Rasa nyeri atau tidak nyaman ini dipicu oleh tingkat aktivitas atau stres yang relatif sama. Angina unstable Angin unstable yaitu angina yang pola gejalanya dapat berubah-ubah. Metode klasifikasi K-Nearest Neighbor (KNN) berdasarkan pada perhitungan kedekatan atau K. dan rasa sakit dada (angina) pada pasien. Metode K-Nearest Neighbor (KNN) dan Random forest digunakan ntuk menguji tingkat keberhasilan, penulis menggunakan model perhitungan Precission, Recall, F1-Score, dan Akurasi. Berdasarkan hasil uji coba yang telah dilakukan pada penelitian ini, terbukti bahwa metode K-Nearest Neighbor dapat digunakan untuk mengkalsifikasi data penyakit jantung. Dengan akurasi metode KNN 93% dan metode Random Forest 72%.
Non‐linear modeling of growth prerequisites in a Finnish polytechnic institution of higher education

Purpose – This study aims to examine the factors of growth‐oriented atmosphere in a Finnish polytechnic institution of higher education with categorical exploratory factor analysis, multidimensional scaling and Bayesian unsupervised model‐based visualization.Design/methodology/approach – This study was designed to examine employee perceptions of how their managers create conditions that support professional growth and learning, and how the employees perceive their growth motivation and commitment to the organization. Data were gathered from 447 employees with the Growth‐oriented Atmosphere Questionnaire in a Finnish polytechnic institution of higher education.Findings – Results showed that the theoretical four‐group classification of the growth‐oriented atmosphere factors was supported by the empirical evidence. Results further showed that managers and teachers had higher growth motivation and level of commitment to work than other personnel, including job titles such as cleaner, caretaker, accountant and.
How is star formation quenched in massive galaxies

The bimodality in observed present-day galaxy colours has long been a challenge for hierarchical galaxy formation models, as it requires some physical process to quench (and keep quenched) star formation in massive galaxies. Here we examine phenomenological models of quenching by post-processing the star formation histories of galaxies from cosmological hydrodynamic simulations that reproduce observations of star-forming galaxies reasonably well. We consider recipes for quenching based on major mergers, halo mass thresholds, gas temperature thresholds, and variants thereof. We compare the resulting simulated star formation histories to observed g r colour-magnitude diagrams and red and blue luminosity functions from SDSS. The merger and halo mass quenching scenarios each yield a distinct red sequence and blue cloud of galaxies that are in broad agreement with data, albeit only under rather extreme assumptions. In detail, however, the simulated red sequence slope and amplitude in both scenarios are somewhat discrepant, perhaps traceable to low metallicities in simulated galaxies. Merger quenching produces more massive blue galaxies, earlier quenching, and more frosting of young stars; comparing to relevant data tends to favor merger over halo mass quenching. Although physically-motivated quenching models can produce a red sequence, interesting generic discrepancies remain that indicate that additional physics is required to reproduce the star formation and enrichment histories of red and dead galaxies.
Exploration of the T. cacao genome sequence to decipher the incompatibility system of Theobroma cacao and to identify diagnostic markers

We explored the Theobroma cacao genome sequence to progress in the knowledge of the T. cacao incompatibility system. Cocoa self-compatibility is an important yield factor and has been described as controlled by a late gameto-sporophytic system involving several locus, and resulting in gametic non-fusion. In this work, we identified two different mechanisms controlling the T. cacao self-incompatibility system at two separate loci, located on chromosome one and four (CH1 and CH4). Both loci are responsible for gametic selection, but only one (the CH4 locus) is involved in the main fruit drop. The CH1 locus acts prior to gamete fusion and independently of CH4 locus. Fine mapping and genome wide association studies focused analyses of restricted regions without recombinant plants where several candidate genes were identified. Their expression analysis showed differential expression during incompatible or compatible reactions for some of them. Highly polymorphic SSR diagnostic markers, designed in the CH4 region identified by fine mapping, allowed the development of efficient diagnostic markers predicting selfcompatibility and fruit setting according to allele or genotype presence. SSR alleles specific to self-compatible Amelonado and Criollo varieties were also identified allowing screening for self-compatible plants in cocoa populations. (Resume d'auteur)
Title Single View 3 D Reconstruction under an Uncalibrated Cameraand an Unknown Mirror Sphere

In this paper, we develop a novel self-calibration method for single view 3D reconstruction using a mirror sphere. Unlike other mirror sphere based reconstruction methods, our method needs neither the intrinsic parameters of the camera, nor the position and radius of the sphere be known. Based on eigen decomposition of the matrix representing the conic image of the sphere and enforcing a repeated eignvalue constraint, we derive an analytical solution for recovering the focal length of the camera given its principal point. We then introduce a robust algorithm for estimating both the principal point and the focal length of the camera by minimizing the differences between focal lengths estimated from multiple images of the sphere. We also present a novel approach for estimating both the principal point and focal length of the camera in the case of just one single image of the sphere. With the estimated camera intrinsic parameters, the position(s) of the sphere can be readily retrieved from the eigen decomposition(s) and a scaled 3D reconstruction follows. Experimental results on both synthetic and real data are presented, which demonstrate the feasibility and accuracy of our approach.
From the optical characteristics of Herschel-hifi to in-orbit spatial response calibration using Mars

Making use of all Mars observations taken by Herschel-HIFI, we present a detailed comparison of the measured and predicted beam profiles observed in space. Starting with a number of instrument beam profile models, including one based on actual wavefront measurements in the 480 – 1625 GHz frequency range, we developed a forward model predicting the detailed characteristics of the beam profile at the sky. Once convolved with the actual brightness temperature distribution and appearance of Mars, this forward model can be compared in detail with the observed spatial response towards Mars, using the science data of HIFI. Since the HIFI instrument is a single-mode coherent receiver, and given the availability of phase-sensitive measurements at instrument level, the results suggest that it is possible to extract some interesting optical characteristics of the Herschel telescope in addition. We discuss a possible way to extract the location of the telescope focus from these observations, which could provide useful feedback to the thermo-elastic properties of the SiC telescope assembly under zero-g and cryogenic conditions.
Vibration reduction Design of Permanent Magnet Motor Using Level Set Based Shape Optimization Method

This paper presents a new optimization method to design a rotor structure for a permanent magnet motor that can reduce vibration. The optimization problem is formulated with a multi-objective function to minimize the fluctuation of the radial magnetic force and the torque ripple. To obtain the optimal rotor shape consisting of a permanent magnet and ferromagnetic material, a multiple level set model is employed to express the structural boundaries and magnetic properties of each material. The updating process of the level set function based on the adjoint sensitivity and the time evolutional equation makes it possible to obtain a novel rotor configuration of the motor. To verify the usefulness of the proposed method, a rotor design example of the surface-mounted permanent magnet motor for electric power steering system is performed.
Detection of Red Region of Fuji Apple Based on RGB Color Model

Color of fruits is an important index for the classification of fruits, which will affect consumers′ purchase desire. An algorithm based on RGB color model is studied to detect the red area of Fuji apple. The light compensation of image is used to reduce the effect of illumination change and nonuniformity of light source. Two parameters of R/G and G/B in RGB image are calculated, and the thresholds of these two parameters are obtained by using training samples to achieve accurate segmentation for apple and background. The excess red minus excess green threshold segmentation method is applied to detect and calculate the red region of apple surface. The experimental results show that the algorithm based on RGB color model is able to accurately detect the red area of the apple surface. The algorithm can meet the requirement of color grading detection of Fuji apples.
Functional analysis of variance of air pollution caused by fine particles

Particulate matter (PM) constitutes the main pollutant in the air and is closely related to the emergence of diseases (Bell et al., 2007). PM is usually classified based on aerodynamical diameter, fine particles in the air have aerodynamic diameters up to 2.5 μm and are known as PM2.5 (Laden et al., 2000; Febrero-Bande et al., 2007; Al-Hamdan et al., 2009. PM2.5 are associated to chronic respiratory illnesses such as asthma and lung cancer, as well as to cerebrovascular diseases, among others.
Nanocomposite Material for Supercapacitor Application

Nanocarbon-derived supercapacitors have been focused owing to high surface area, chemical stability, electrical conductivity, and thermal constancy. The nanocarbon materials have been amalgamated with conducting polymers to form supercapacitor electrodes. The nanocarbon fillers may act as pseudocapacitive material to dramatically enhance the electrode performance especially the specific capacitance and energy density. Development of new nanocomposite nanostructures mayovercome the performance challenges posed by low energy density of supercapacitors.Future research progress for nanocarbon-derived supercapacitors depends on understanding the mechanism, design innovation, fabrication, and achievement of high performance materials.
Null‐space‐based optimal control reallocation for spacecraft stabilization under input saturation

A novel saturated proportional‐derivative control incorporated with null‐space‐based optimal control reallocation is proposed for spacecraft attitude stabilization in the presence of disturbance and input saturation. More specifically, a saturated proportional‐derivative based baseline nonlinear controller is firstly developed to guarantee the globally asymptotic stability under input constraints and external disturbance. This is achieved with inexpensive online computations by dynamically adjusting a single parameter to ensure the desired performance. Then, a novel null‐space‐based optimal control reallocation method is employed to map the specified virtual control command to the redundant actuators. The optimal control solution is obtained by penalizing the control allocation errors at a lower power/energy cost using quadratic programming algorithm. The benefits of the proposed control method are analytically authenticated and also validated via simulation study. Copyright © 2014 John Wiley & Sons, Ltd.
Extrapolate-Ing: External Validity and Overidentification in the Late Framework

This paper develops a covariate-based approach to the external validity of instrumental variables (IV) estimates. Assuming that differences in observed complier characteristics are what make IV estimates differ from one another and from parameters like the effect of treatment on the treated, we show how to construct estimates for new subpopulations from a given set of covariate-specific LATEs. We also develop a reweighting procedure that uses the traditional overidentification test statistic to define a population for which a given pair of IV estimates has external validity. These ideas are illustrated through a comparison of twins and sex-composition IV estimates of the effects childbearing on labor supply.
Peroxy radicals during BERLIOZ at Pabstthum: Measurements, radical budgets and ozone production

[1] The Photochemistry Experiment during BERLIOZ (PHOEBE) was conducted in July and August 1998 at a rural site located near the small village of Pabstthum, about 50 km northwest of downtown Berlin. In this paper, spectroscopic measurements of hydroxyl (OH) and peroxy radicals (HO2 and RO2) are discussed for two intensive days (20 and 21 July) of the campaign. On both days peak values of the radical concentrations were similar, reaching 6–8 × 106 cm−3 for OH and 20–30 ppt for RO2 and HO2. Fairly high OH concentrations were observed during the morning hours in the presence of high-NOx mixing ratios (>20ppb). The “master chemical mechanism” (MCM) was used to calculate OH, HO2, and RO2 concentrations from the simultaneously measured data comprising a comprehensive set of speciated hydrocarbons and carbonyl compounds, O3, CO, NO, NO2, HONO, PAN, J(NO2), J(O1D), and meteorological parameters. The calculated OH concentrations are in excellent agreement with the measurements during the morning hours at high-NOx (>10 ppb). However, at low NOx conditions the model overestimates OH by a factor 1.6. The modeled concentrations of HO2 and RO2 are in reasonable agreement with the measurements on 20 July. On the next day, when isoprene from nearby sources was the dominant VOC, the model overpredicted HO2 and RO2 in addition to OH. Radical budgets solely calculated from measured data show that a missing sink for OH must be responsible for the overestimation by MCM. Missing VOC reactivity is unlikely, unless these VOC would not lead to RO2 production upon reaction with OH. The measured RO2/HO2 ratio of about one is well reproduced by the MCM, whereas a simple model without recycling of RO2 from decomposition and isomerisation of alkoxy radicals underpredicts the measured ratio by about a factor of two. This finding highlights the importance of RO2 recycling in the chemical mechanism. The ozone production rate P(O3), calculated from the peroxy radical concentrations and NO, had a maximum of 8 ppb/hr at 0.5 ppb NO, which is in good agreement with results from previous campaigns at Tenerife and Schauinsland.
A 3D dynamic model to assess the impacts of low-mode asymmetry, aneurysms and mix-induced radiative loss on capsule performance across inertial confinement fusion platforms

A simple 3D dynamic model for inertial confinement fusion (ICF) implosions has been developed and used to assess the impacts of low-mode asymmetry, aneurysms and mix-induced radiative loss on capsule performance across ICF platforms. The model, while benchmarked against radiation hydrodynamics simulations, benefits from simplicity and speed to allow rapid assessment of possible sources of degradation as well as to help build intuition about the relative importance of different effects. Degradations in the model result from 3D areal density perturbations that grow under deceleration from a radial stagnation flow, resulting in reduced convergence, stagnation pressure and temperature. When available, experimental data are used as input to seed 3D perturbations in the model so that the actual observed hotspot and shell areal density asymmetry at stagnation, as well as the radiation loss increase from mix impurities, are accurately reproduced. This model is applied to a broad set of implosion data from the NIF and Omega, including examples from both indirect drive and direct drive. The model matches most experimental observables and explains major performance degradation mechanisms which can result in 30–100-fold reductions in yield. We examine a modified ignition criterion that accounts for the increase in expansion work, due to the presence of 3D perturbations and loss-of-confinement in thin regions of the shell.
Cognitive Functionality based Question Answering System

Applying cognitive functionality in the artificial system is the prospect of next computing era and is speedily attracting the business and industry. As the volume of information increasing rapidly in the digital world, it also tends to challenge the current search engines to mine more significant and related information in precise and comprehensible manner. A Question Answering (QA) system outdoes the traditional information retrieval search engines in such situations. The paper presents and implements cognitive functionality in question answering systems to mimic human-like performance. The work proposes an architecture which trails human mental and brain like problemsolving procedures to answer questions. An illustration also deliberated and elucidated using a practical implementation and evaluation along with its fundamental cognitive functionality.
DETERMINANTS OF INDIVIDUALS’ INTENTION IN PATRONIZING WASIYYAH SERVICES IN MALAYSIA

Wasiyyah is one of the most important things that should be aware of before death. This is important in order to ensure the beneficiaries can get their rights after a person dies. The present study investigates the effects of the following factors; attitude, subjective norm and perceived behavioural control on the individual’s intention in patronizing wasiyyah services. The sample of this study consists of 250 respondents and the questionnaires were randomly distributed to Malaysian Muslims in the area of Klang Valley whose age was 25 and above. Data were obtained through an e-mail and face-to-face survey using a semi-structured questionnaire. The result indicates that all three independent variables were significant to influence the individual’s intention in patronizing wasiyyah services. The study found that the subjective norm is the strongest factor in predicting the dependent variable and this result did not support the fourth hypothesis. The respondents also were reluctant to answer the questionnaire due to the lack of knowledge on wasiyyah. Despite these limitations, the findings of this study provide invaluable insights on factors tested in TPB regarding the intentions in patronizing wasiyyah services.