Miracle-dz/UniFAR-FTUs huggingface dataset:
Infection of cowpea protoplasts with cymbidium ringspot virus

Summary Cowpea protoplasts became infected following inoculation either with particles of cymbidium ringspot virus (CyRSV) or with CyRSV RNA. About 50% of the protoplasts were infected by inocula that contained polyethylene glycol, but fewer were infected by inocula that contained poly-l-ornithine. About 20 pg of virus accumulated per infected protoplast. Cordycepin and actinomycin D inhibited virus multiplication in protoplasts inoculated with virus particles or with RNA, lowering both the proportion of protoplasts becoming infected and the virus yield per infected protoplast. Infected protoplasts supported the replication of a satellite RNA and reacted cytologically to infection by forming multivesicular bodies presumably derived from peroxisomes.
DOES SCREENCAST TEACHING SOFTWARE APPLICATION NEEDS NARRATION FOR EFFECTIVE LEARNING

The aim of this study was to investigate the effects of screencast with narration and without narration in enhancing learning performance. A series of screencast teaching Flash animation software was developed using screen capture software for the purpuse of this research. The screencast series were uploaded to specialized channels created in YouTube video sharing platform. The study was conducted under the online self-paced learning condition. A pre-test post-test experimental design was used involving two different groups that studied the two different strategies. Data collected were analyzed using one-way ANOVA test. The results indicate that screencast with narration was significantly more effective than screencast without narration in enhancing students’ learning performance. Moreover, from the observation, it was revealed that screencast with narration, published and shared online, can be a potential strategy in reducing learning duration. Taken together, the findings provide evidence that screencast with narration can be used for online self-paced learning that is not only effective but also efficient.
The impact of networks on effectuation over causation processes

The aim of this study is to examine the relationship between network integration and the use of effectuation in the decision making process. This research builds on the effectuation literature and network theory. Effectuation research is encouraged by a lot of researchers and literature on the combination of networks and effectuation is limited. In this exploratory research a mixed method design in combination with a quasi-experiment is used. Data was collected among seventeen American student entrepreneurs in Rome, Georgia. Participants were presented a case in which they had to solve ten decision problems using the think aloud method so that decision making processes could be analyzed. In addition they were given a questionnaire to be filled out afterwards. The results indicate that no significant differences exist between student entrepreneurs having a low or high degree of network integration and the use of effectuation processes. The hypotheses could not be supported with empirical evidence. The findings showed that religion, experience, age, sex, and general reliance on network in the start-up phase do have a significant effect on use of the means based principle. Age significantly influences usage of embracing contingencies. All control variables significantly influenced the overall effectuation processes.
Ideas and perspectives: Hydrothermally driven redistribution and sequestration of early Archaean biomass – the hydrothermal pump hypothesis

Abstract. Archaean hydrothermal chert veins commonly contain abundant organic carbon of uncertain origin (abiotic vs. biotic). In this study, we analysed kerogen contained in a hydrothermal chert vein from the ca. 3.5 Ga Dresser Formation (Pilbara Craton, Western Australia). Catalytic hydropyrolysis (HyPy) of this kerogen yielded n -alkanes up to n -C 22 , with a sharp decrease in abundance beyond n -C 18 . This distribution ( ≤ n -C 18 ) is very similar to that observed in HyPy products of recent bacterial biomass, which was used as reference material, whereas it differs markedly from the unimodal distribution of abiotic compounds experimentally formed via Fischer–Tropsch-type synthesis. We therefore propose that the organic matter in the Archaean chert veins has a primarily microbial origin. The microbially derived organic matter accumulated in anoxic aquatic (surface and/or subsurface) environments and was then assimilated, redistributed and sequestered by the hydrothermal fluids (“hydrothermal pump hypothesis”).
Hybrid multi-objective heuristics for the open-pit-mining operational planning problem

This paper deals with the Open-Pit-Mining Operational Planning problem concerning dynamic truck allocation. The objective is to meet production goals and quality requirements and to minimize the number of mining trucks used in the mineral extraction from open-pit mines. Due to the combinatorial complexity and the conflicting goals, a multi-objective heuristic strategy is adopted. We present two hybrid genetic algorithms, NSGA and MGHA, that combine characteristics of multi-objective heuristics and a local search heuristic. For each algorithm, two variants in relation to the fitness function are proposed. Both variants consider production and quality goals. The difference between the variants is that one includes number of truck minimization (NT) and the other includes truck usage rate maximization (TU). The proposed algorithms were tested using modified data from literature. The computational experiments show that the NSGAII-NT algorithm is the best one.
Self-reported Health of Aged Population in India

Lack of health status indicators that can be voluntarily collected for individuals with minimal expenditure of resources is a major limitation to assess the health of elderly population. This has sparked interest in self-reported measures of health status. The present paper extracted the data from SAGE (Study of Global Ageing and Adult Health)Wave-1 India. Data of 6560 individuals of 50 plus age group have been analyzed from Wave-1. Elderly health was assessed based on six domains of health activity. Health assessment by background characteristics shows older persons in higher age group had a higher percentage in reporting bad health and vice-versa, and females report bad health conditions more in comparison with males. Persons belonging to households in higher wealth quintile and having higher education were in good health condition. Multinomial logistic regression shows that with increasing education and income levels, the possibility of experiencing moderate and good health is found to increase considerably. The study concludes that the self-reported health of the elderly population is poor.
Statistical Analysis of Automatic Seed Word Acquisition to Improve Harmful Expression Extraction in Cyberbullying Detection

We study the social problem of cyberbullying, defined as a new form of bullying that takes place in the Internet space. This paper proposes a method for automatic acquisition of seed words to improve performance of the original method for the cyberbullying detection by Nitta et al. [1]. We conduct an experiment exactly in the same settings to find out that the method based on a Web mining technique, lost over 30% points of its performance since being proposed in 2013. Thus, we hypothesize on the reasons for the decrease in the performance and propose a number of improvements, from which we experimentally choose the best one. Furthermore, we collect several seed word sets using different approaches, evaluate and their precision. We found out that the influential factor in extraction of harmful expressions is not the number of seed words, but the way the seed words were collected and filtered.
SURFACE ROUGHNESS IMPACT ON FRANCIS TURBINE PERFORMANCES AND PREDICTION OF EFFICIENCY STEP UP

In the process of turbine modernizations, the investigation of the influences of water passage roughness on radial flow machine performance is crucial and validates the efficiency step up between reduced scale model and prototype. This study presents the specific losses per component of a Francis turbine, which are estimated by CFD simulation. Simulations are performed for different water passage surface roughness heights, which represents the equivalent sand grain roughness height. As a result, the boundary layer logarithmic velocity profile still exists for rough walls, but moves closer to the wall. Consequently, the wall friction depends not only on roughness height but also on its shape and distribution. The specific losses are determined by CFD numerical simulations for each component of the prototype, taking into account its own specific sand grain roughness height. The model efficiency step up between reduced scale model and prototype value is finally computed by the assessment of specific losses on prototype and by evaluating specific losses for a reduced scale model with smooth walls. Furthermore, surveys of rough walls of each component were performed during the geometry recovery on the prototype and comparisons are made with experimental data from the EPFL Laboratory for Hydraulic Machines reduced scale model measurements. This study underlines that if rough walls are considered, the CFD approach estimates well the local friction loss coefficient. It is clear that by considering sand grain roughness heights in CFD simulations, its forms a significant part of the global performance estimation. The availability of the efficiency field measurements provides an unique opportunity to assess the CFD method in view of a systematic approach for turbine modernization step up evaluation. Moreover, this paper states that CFD is a very promising tool for future evaluation of turbine performance transposition from the scale model to the prototype.
International Conference on System-integrated Intelligence : New Challenges for Product and Production Engineering , SysInt 2016 Autonomous Modular Process Monitoring

Process monitoring is essential to detect process disturbances systematically in cutting machining processes. Hence, it can contribute significantly to process safety and thus to automatized production. Many different monitoring strategies have been developed and successfully tested. However, they usually require some manual parametrization effort by the machine operator and can be difficult to use. Furthermore, they usually focus on very specific process conditions. Therefore, an innovative modular autonomous monitoring system is being developed, which can monitor machining processes in single-item and series production and reduces parametrization effort for the operator to a minimum, thus, focusing on manageability of the system. © 2016 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the organizing committee of SysInt 2016.
Mie Scattering by a Conducting Sphere Coated Uniaxial Single-Negative Medium

We propose an accurate analytical method to compute the electromagnetic scattering from three-dimensional (3D) conducting sphere coated uniaxial anisotropic single-negative (SNG) medium. Based on the spherical vector wave functions (SVWFs) in uniaxial anisotropic medium, the electromagnetic field in homogeneous uniaxial SNG medium and free space can be expressed by the SVWFs in uniaxial SNG medium and free space. The continued boundary conditions of electromagnetic fields between the uniaxial SNG medium and free space are applied, and the tangential electrical field is vanished in the surface of conducting sphere, the coefficients of scattering fields in free space can be derived, and then the character of scattering of conducting sphere coated homogeneous uniaxial SNG medium can be obtained. Some numericals are given in the end.
The long-term relationship between land use and employment on industrial sites in the Netherlands

Popular forecasting models for long-term planning of industrial sites assume a strong linear relationship between employment and land use. New Dutch panel data for 19972008 were used to test this assumption. In a linear model, employment alone does not suffice to predict land use. Non-linear models show a relationship at municipal and industrial sites level, but not for regions. However, the relationship is strongly biased by unobserved heterogeneity. For planning purposes and prediction, additional explanatory variables are necessary to tackle this problem. The findings do not support the use of simple linear models for the planning of industrial sites.
In Vitro Study Cocaine Decreased Progesterone Synthesis in the Isolated Cytotrophoblast Cells and in Situ Study PGE2 and PGF2? Levels Increased N the Amniotic Fluid in Cocaine Users in Humans

In vitro study the capacity of isolated cytotrophoblast cells (placental cells) treated with cocaine hydrochloride ranging in dose level from 1-3.00 ? molar (0.25-75 mg/ml). to synthesize progesterone was examined. 25 hydroxycholesterol (OHC) or low density lipoprotein (LDL was added in the media as substrate to stimulate progesterone synthesis. In situ study, prostaglandins levels (PGE2 and PGF2? ) were measured in the aspirated amniotic fluid obtained from subjects who used cocaine throughout their pregnancy. The data show progesterone synthesis was significantly decreased (p levels in the aspirated amniotic fluid were significantly increased (p cAMP synthesis in the isolated cytotrophoblast cells, cAMP level was measured in the presence of cocaine the data showed decreased cAMP level (p>0.01). Data on birth weights of newborn and gestational age of mothers in cocaine users showed a significant decrease (p complications in pregnancy showed significant increase (p We conclude that cocaine induced decreased progesterone synthesis in the placental cells and an increased prostaglandins level in the amniotic fluid is the cause of early termination of pregnancy in subjects using cocaine during pregnancy.
Spatial dialogueS and the memory of abSent JewS in contemporary poliSh art : yael bartana , rafa Ł betleJewSki

The paper analyses how the work of three contemporary artists deal with the memory of Poland’s pre-war Jewish population and the Holocaust. Joanna Rajkowska is one of Poland’s leading contemporary artists and her artworks have been displayed in prominent public sites in Warsaw. Her most famous work is her palm tree in central Warsaw, Greetings from Jerusalem Avenue (2002, ongoing), which references, in its form and physical location on Aleje Jerozolimskie, or Jerusalem Avenue, both Jerusalem and Warsaw’s vanished Jews. Rajkowska has also used important Jewish locations in Warsaw in other work, such as Oxygenator (2007). Yael Bartana is an Israeli artist, but represented Poland at the Venice Biennale in 2011. In her trilogy of films set in Poland, And Europe Will Be Stunned (2006-11), Bartana uses prominent locations in Warsaw in which to stage performances (the Palace of Culture, the National Stadium, site of the future Museum of Polish Jews) that provocatively posit a return of Jews to Poland. Betlejewski has authored several provocative and creative responses to the absence of Jews in contemporary Poland, such as his I miss you, Jew! project (2004), and his Burning barn performance (2010). The paper will examine the varying strategies through which these artists deal with the problem of the absence of Jews, the trauma of their violent disappearance, and attempt to re-inscribe the vanished Jews back into the landscape of contemporary Poland. The paper argues that all three artists use actual and imagined space in order to create a complex, often ambiguous dialogue between diverse traumatic pasts and the problems of the present. This text is published as a counterpart to the contribution to Disturbing Pasts from the artist Rafal Betlejewski. keywords: Yael Bartana, Rafał Betlejewski Joanna Rajkowska, contemporary art, Poland, Jewish histories, Holocaust, memory, trauma, Israel doi: dx.doi. org/10.5456/issn.2050-3679/2014s32ub biographical note Uilleam Blacker is a Lecturer in Comparative Russian and East European Culture at the School of Slavonic and East European Studies, University College London. He was previously a postdoctoral research associate on the project Memory at War (HERA JRP), based at the University of Cambridge, from where he participated in the Disturbing Pasts project. His current research focuses on the memories of communities that disappeared from cities across east-central Europe as a result of the Second World War, as reflected in urban commemoration, literature and art. His general research interests include contemporary Ukrainian, Polish and Russian literatures, and memory, gender, urban and postcolonial studies. Uilleam has also translated the work of several contemporary Ukrainian writers.
Exploiting Homogeneity of Density in Incremental Hierarchical Clustering

Hierarchical clustering is an important tool in many applications. As it involves a large data set that proliferates over time, reclustering the data set periodically is not an efficient process. Therefore, the ability to incorporate a new data set incrementally into an existing hierarchy becomes increasingly demanding. This article describes HOMOGEN, a system that employs a new algorithm for generating a hierarchy of concepts and clusters incrementally from a stream of observations. The system aims to construct a hierarchy that satisfies the homogeneity and the monotonicity properties. Working in a bottom-up fashion, a new observation is placed in the hierarchy and a sequence of hierarchy restructuring processes is performed only in regions that have been affected by the presence of the new observation. Additionally, it combines multiple restructuring techniques that address different restructuring objectives to get a synergistic effect. The system has been tested on a variety of domains including structured and unstructured data sets. The experimental results reveal that the system is able to construct a concept hierarchy that is consistent regardless of the input data order and whose quality is comparable to the quality of those produced by non incremental clustering algorithms.
Development of a new type of germanium detector for dark matter searches

A new type of germanium (Ge) detector for dark matter searches is under development utilizing the Ge crystal growth facility recently established at the University of South Dakota. Detector-grade crystals with electric impurity levels within 1010/cm3 and neutral impurity levels within 1014/cm3 have been grown regularly in the laboratory. These crystals can be fabricated into planar detectors with 1cm in thickness and 10cm in diameter. When a high voltage is applied to one of the end planes, a uniform electric field in the volume can be established. Such a design could result in a very fast electric signal. A time resolution of 1ns is expected by combining a short drift length and large drift mobility. This may allow us to resolve the difference on the electric pulse rise-time between low-energy nuclear recoil events and electronic recoil events at liquid nitrogen temperatures. An array of 168 planar detectors of this kind was modeled in a Geant4-based Monte Carlo simulation package. Its background reduction power was investigated and its sensitivity in dark matter search is estimated to be ~10-48cm2.
Limits on the core temperature anisotropy of solar wind protons

Abstract. We analyse the temperature anisotropy of the protons in the solar wind and thereby concentrate on plasma data obtained in the year 1976 of the Helios 1 and Helios 2 missions. We derive the core proton temperatures and , in the directions perpendicular and parallel to the magnetic field, as well as the core parallel plasma beta, . The data are separately analysed for two distance ranges, AU and }0.4$">AU, and divided into 24 bins for the plasma beta, in the range from to , and into 72 bins for the total temperature anisotropy, , which is here considered in the range from −0.9 to 0.9. The number of spectra in each bin is determined to obtain distributions. The statistical results are presented in two-dimensional histograms. For each column we define a critical upper and lower limit of the anisotropy. The resulting empirical points are compared with the known theoretical instability thresholds. The protons are found to come with increasing radial distance closer to the fire-hose instability threshold.
Adaptive Scene Classification based on Semantic Concepts and Edge Detection

Scene classification and concept-based procedures have been the great interest for image categorization applications for large database. Knowing the category to which scene belongs, we can filter out uninterested images when we try to search a specific scene category such as beach, mountain, forest and field from database. In this paper, we propose an adaptive segmentation method for real-world natural scene classification based on a semantic modeling. Semantic modeling stands for the classification of sub-regions into semantic concepts such as grass, water and sky. Our adaptive segmentation method utilizes the edge detection to split an image into sub-regions. Frequency of occurrences of these semantic concepts represents the information of the image and classifies it to the scene categories. K-Nearest Neighbor (k-NN) algorithm is also applied as a classifier. The empirical results demonstrate that the proposed adaptive segmentation method outperforms the Vogel and Schiele’s method in terms of accuracy.
The Relationship between Self-Efficacy towards Audit Quality with Individualism Culture As Mediates: Evidence from Indonesia

This study investigates the effects of individualism culture on audit quality with self-efficacy as mediates. Specifically, it examines the mediating effects of self-efficacy on the relationship between individualism culture to audit quality. Social cognitive theory is employed as a theoretical framework. Using the purposive sampling method, 101 auditors of individualism culture, self-efficacy Indonesian the Supreme Audit were selected as the sample. The results of this study show that self-efficacy has a significant impact on audit quality. This study also finds that individualism culture acts as a mediator variable. This study is for the Supreme Audit Agency, the Inspectorate, Directorate General of Taxes, government internal auditors and independent auditors and academics in the field of accounting education.
Reliability-Aware Energy Scheduling for Microgrids

Abstract Energy scheduling plays a critical role in the safe and economical operation of the Microgrid. Several methods exist that can be leveraged to improve the cost efficiency of Microgrid operation in grid-connected mode. However, existing works overemphasize the economic benefit of Microgrid operation in grid-connected mode such that in case of sudden transition to islanded mode, the operation reliability, an important performance index in practical operation can't be guaranteed. In this paper, a two-stage scheduling scheme is proposed that takes the reliability issue into consideration by leveraging the upstream grid failure probability. Through real-world data sets based simulation evaluation, we evaluate our proposed two-stage scheduling scheme and validate its effectiveness.
Shortcut to adiabaticity in harmonic traps

We review the methods to preserve the initial state populations in a fast harmonic trap expansion. The design of the time dependence of the frequency using inverse techniques presents advantages over the slow adiabatic approach, band-bang methods, or the non-local “transitionless tracking” algorithm. Many operations with cold atoms make use of adiabatic expansions and may benefit from such a shortcut to adiabaticity. PACS: 37.10. De, 42.50. -p, 37.10. Vz, 67.85. De