Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantitative trait loci analysis of leaf and plant longevity in Arabidopsis that ¡

The natural variation in leaf and plant longevity in Arabidopsis thaliana was analysed in a set of 45 ecotypes and 155 recombinant inbred lines derived from a Cape Verde Islands (Cvi)x Landsberg erecta (Ler) cross. Post-bolting longevity was inversely re­ lated to time to flowering and rosette leaf number in the set of 45 ecotypes, with Cvi having the longest and Ler the shortest post-bolting longevity. The recom­ binant inbred line population was tested under low or high soil nutrient levels (LN or HN, respectively). Three quantitative trait loci (QTL), one in chromosome 3 and two in chromosomes 1 and 5, were associated with longevity of the 6th rosette leaf under LN and HN, re­ spectively. Four QTL for post-bolting longevity were found in chromosomes 1, 3, 4, and 5, and two in chro­ mosomes 1 and 5 under LN and HN, respectively. An epistatic interaction affecting post-bolting longevity under LN, but not HN, was detected. Ler and Cvi carry a mix of increasing and decreasing alleles for the QTL affecting longevity of the 6th leaf and post-bolting longevity. Longevity of the 6th rosette leaf was asso­ ciated with different QTL than post-bolting longevity, and it was affected by different QTL depending on nutrient availability. By contrast, the major QTL affect­ ing post-bolting longevity exerted significant effects irrespective of soil nutrient availability.
Effect of temperature changes on the cell membrane with molecular d

The cell membrane is an important component of the cell and has a significant role in many cellular processes such as cell pr adhesion, migration and signal detection. Therefore, studding the cell membrane and its characteristics has a crucial role in understanding of the cell functions. On the other hand, studding the interactions in biological systems suc levels is extremely important and since the empirical methods and their results cannot provide accurate and sufficient inform molecular scale, molecular simulations have recently attracted a lot of attention among bio quantitative and qualitative information about the interaction of membrane molecules during environment changes, as well as p test bed for evaluating the available assumptions about cell membrane. In this res order and permeability were studied by applying the changes in temperature and evaluating the thermal motion of the lipid mol using the molecular dynamics. The results indicate the importance of particularly in selective permeability. It also may cause cellular damage when the temperature is out of especial range.
Geologically recent rearrangements in central Amazonian river network and their importance for the riverine barrier hypothesis

The riverine barrier hypothesis is a central concept in Amazonian biogeography. It states that large rivers limit species distributions and trigger vicariant speciation. Although the hypothesis has explanatory power, many recent biogeographical observations addressing it have produced conflicting results. We propose that the controversies arise because tributary arrangements in the Amazon river system have changed in geologically recent times, such that large tracts of forest that were on the same side of a river at one time got separated to different sides at another. Based on topographical data and sediment dating, we map about 20 major avulsion and river capture events that have rearranged the river network in central Amazonia during the late Pleistocene and Holocene. We identify areas where past riverine barrier effects might still linger in the absence of a major river, as well as areas where such effects may not yet have accumulated across an existing river. These results call for a reinterpretation of previous biogeographical studies and a reorientation of future works to take into account the idiosyncratic histories of individual rivers.
Sen ment analysis and transfer learning using recurrent neural networks

In the field of data mining, transfer learning is the method of transferring knowledge from one domain into another. Using reviews from prisjakt.se, a Swedish price comparison site, and hotels.com this work investigates how the similarities between domains affect the results of transfer learning when using recurrent neural networks. We test several different domains with different characteristics, e.g. size and lexical similarity. In this work only relatively similar domains were used, the same target function was sought and all reviews were in Swedish. Regardless, the results are conclusive; transfer learning is often beneficial, but is highly dependent on the features of the domains and how they compare with each other’s.
GPGPU-based Multigrid Methods

Multigrid methods are evaluated for their suitability towards a GPU implementation. A Jacobi-based variant of a multigrid solver for the 2D Poisson equation built on C++, OpenGL and GLSL is presented. The performance of various implementation techniques is benchmarked and interpreted, a number of optimization strategies are tested and the final results are compared across different hardware platforms and to a traditional CPU-based implementation.
REGENERATION OF THE HUMAN MAXILLARY ANTRAL LINING

A review of the literature yields meager results in regard to the regeneration of the lining of the maxillary antrums following the complete (or incomplete) removal of the original membrane at the time of operation. Tonndorf 1 reported the case of a patient who died of an abscess of the liver one month after a radical operation on the antrum, during which a complete removal of the lining had been done. He noted that a granulation tissue originating from the endosteum covered all parts of the antrum, and that ciliated columnar epithelium was growing in from the naso-antral opening. The outermost edge of the ingrowing epithelium was of the flat type, but farther back the ciliated type was evident. Goblet cells were also present in the epithelial covering. Skillern 2 mentioned two cases in which inspection of the antrums through openings in the canine fossa some years after radical operations showed the
Image matching Under Varying Illumination Using Uniform Symmetric-Local Binary Pattern

In this paper, we describe a novel and robust feature descriptor that is invariant to any complex brightness changes. Firstly, the local maxima is detected with recursive DOG scale space as candidate interesting points. Secondly, the main orientation is determined statistically according to the oriented gradients histograms in a circular neighborhood around interest point. Thirdly, the 128-bit descriptor is structured statistically according to the gradient magnitude in a circular neighborhood around the feature point. And then, the 64 bit descriptor is structured by extracting the texture information of the interest point neighborhood with the proposed Uniform Symmetric-Local Binary Pattern (US-LBP). Finally, combined two kinds of texture statistics form 192 bit descriptor. The experimental results show that the proposed algorithm has the excellent features of scale invariance, rotation invariance, affine invariance and illumination invariance in the process of image matching. And this method matching accuracy is much higher than SIFT, SURF, ORB, BRISK, FREAK algorithms, especially the experiments finally show the superiority of our descriptor compared to existing ones under complex illumination changes.
Cartograms of self-organizing maps to explore user-generated content

As the amount of user-generated content dramatically rises, the need to structure these data, to extract relevant semantic relationships buried in the data, and to visualize found relationships appropriately has significantly risen as well. We suggest an innovative method to structure, visualize, and visually explore user-generated data using a cartogram of a self-organizing map. This distorted self-organizing map overcomes the cognitive limitations of the traditional self-organizing map by combining this neural network mapping approach with cartographic methods used to generate cartograms. First, our novel mapping approach is put to a rigorous test in a case study aimed to uncover the latent semantic structure from text documents in the Wikipedia Encyclopedia. Second, the latent structure uncovered with the self-organizing map cartogram is systematically evaluated by comparing it to an established network visualization method and output. The resulting self-organizing map cartogram reveals relevant structures in the considered Wikipedia data. The comparative evaluation confirms the validity and the stability of the found patterns, and therefore of our novel visualization solution. This paper further contributes to the spatialization research line, by expanding the use of well-established and empirically evaluated cartographic depiction methods to the visualization of non-geographic data, such as, for example, user-generated data increasingly available in today’s networked information society.
A Threshold Cointegration Analysis of Asymmetric Adjustment of OPEC and non-OPEC Monthly Crude Oil Prices

The purpose of this paper is to analyze the dynamics of crude oil prices of OPEC and non-OPEC countries using threshold cointegration. To capture the long run asymmetric price transmission mechanism, we develop an error correction model within a threshold cointegration and CGARCH errors framework. The empirical contribution of our paper specifies the cointegrating relation between OPEC price and non-OPEC prices and estimates how and to what extent the respective prices adjust to eliminate disequilibrium. The finding exhibits that the conditional volatility of variance has long run memory feature and the shocks on the long run component do not adjust quickly. The OPEC producers could not drive down (up) crude oil prices with equivalent speeds for all participants in the market. The slow adjustment of OPEC process of positive discrepancies to the long run equilibrium indicates that OPEC does not prefer modest oil prices. While, the rapid adjustment of non-OPEC process signifies their preference of modest oil prices after oil price increases. These differences of speeds show evidence for competitive behaviors between OPEC and non-OPEC countries.
A Tool Support for Model-Driven Development: An Industrial Case Study from a Measurement Domain

End-user programming may utilize Domain-Specific Modeling Languages (DSMLs) to develop applications in the form of models, using only abstractions found in a specific problem domain. Indeed, the productivity benefits reported from Model-Driven Development (MDD) are hard to ignore, and a number of MDD solutions are flourishing. However, not all stories from industry on MDD are successful. End-users, without having software development skills, are more likely to introduce software errors than professional programmers. In this study, we propose and encourage other DSML developers to extend the development of DSML with tool support. We believe the programming tools (e.g., debugger, testing tool, refactoring tool) are also needed for end-users to ensure the proper functioning of the products they develop. It is imperative that domain experts are provided with tools that work on the abstraction level that is familiar to them. In this paper, an industrial experience is presented for building various tools for usage in MDD. Debugger, automated testing infrastructure, refactoring, and other tools were implemented for Sequencer, a DSML. Our experience with the implementation of tool support for MDD confirms that these tools are indispensable for end-user programming in practice, and that implementing those tools might not be as costly as expected.
Dorsal-ventral differences in intrinsic properties in developing CA1 pyramidal cells

The dorso-ventral and developmental gradients of entorhinal layer II cell grid properties correlate with their resonance properties and with their hyperpolarization-activated cyclic nucleotide-gated ion channel current (HCN, I h ) characteristics. We investigated whether such correlation existed in rat hippocampal CA1 pyramidal cells, where place fields also show spatial and temporal gradients. Resonance was absent during the first postnatal week, and emerged during the second week. Resonance was stronger in dorsal than ventral cells, in accord with HCN current properties. Resonance responded to cAMP in ventral but not in dorsal cells. The dorso-ventral distribution of HCN1 and HCN2 subunits and of the auxiliary protein tetratricopeptide repeat-containing Rab8b-interacting protein (TRIP8b) could account for these differences between dorsal and ventral cells. The analogous distribution of the intrinsic properties of entorhinal stellate and hippocampal cells suggests the existence of general rules of organization among structures that process complementary features of the environment.
GENETIC ALGORITHM AND DIFFERENTIAL EVOLUTION ALGORITHM COMPARED ON A NOVEL APPLICATION DOMAIN

In this paper, the performances of genetic algorithms (GA) and differential evolution (DE), which are two of the most popular optimization techniques used, are compared. There exist many other studies which compare these two; however, comparing those on an education material domain will be the contribution to the literature. The problem is stated as a sequencing problem of education material, in which the order of the topics covered really matters. Selection of the contents of the courses to be given to the students is an important factor to improve the level of education of the students. Representing the content of a course in the correct order is a critical task for instructors. In this study, the importance of the order of the contents of a course was emphasized and the performance of a course content sequencing mechanism using GA and DE was compared. The results put forward that, sequencing the course contents with GA performs better; however, DE is also obviously successful with a close score to that of the GA's.
Development of Multimedia Contents on Smoking Cessation Leadership Program for Health Care Professionals

Purpose:Health careprofessionals represent an immediately availableresourcetopromote smoking cessation. However, thecontent insmokingcessationintervention courses in most institutions is insufficientlycovered due tothelimitednumberofclasshours. Thepurposeof thisstudywastodevelopacomprehensivetobaccocessation- web-based, multimedia, educational program for a range of medical professionals. Methods:Based on Jung's Teaching and LearningStructure Plan Model, a development processwas proposed comprising four stages: (1) analysis, (2) planning, (3) production, and(4) operation/evaluation. The effectiveness of the programwastested using quasi-experimental design, and the participants in experimental group were required to complete the program. Changes in the level of knowledge and attitude were measured. Results: The educational program developed includes nine topics and 26 sub-topics. A total of 180 storyboards, 15 videos, and 27 pictures were made. After the education, the level of knowledge was significantly increased in the experimental group. Conclusion:Thisweb-basedprogramcanbe recommended asa potentialmediumfor healthcareprofessionals to usein counselingsmoking cessation. The studyfindings alsoindicated that the programmay beeither offered as a teaching aid or utilized concurrently with lectures for students studying health care-related topics.
Residential End Use Electricity Demand and the Implications for Real Time Pricing in Sweden

Using a unique and highly detailed data set on energy consumption at the appliance-level for 200 Swedish households, seemingly unrelated regression (SUR)-based end-use specific load curves are estimated. The estimated load curves are then used to explore possible restrictions on load shifting (e.g. the office hours schedule) as well as the cost implications of different load shift patterns. The cost implications of shifting load from “expensive” to “cheap” hours, using the Nord pool spot prices as a proxy for a dynamic price, are computed to be very small; roughly 2-5% reduction in total daily cost from shifting load up to seven hours ahead, indicating small incentives for households (and retailers) to adopt dynamic pricing of electricity. Our results have important implications for Swedish energy policy, in particular for the Swedish government’s stated goal of real-time pricing.
Evaluation of an electronic tool to assess food label literacy in adult Australians: A pilot study

Aim This pilot study aimed to evaluate the food label literacy component of an electronic-Nutrition Literacy Tool (e-NutLiT) designed to assess nutrition literacy in adult Australians, and explore the influence of demographic factors. Methods Obese participants (OP) from an Australian obesity clinic and a criterion group of dietetic students (DS) from two Australian dietetic programs were recruited to complete the e-NutLit; OP also completed the ‘Newest Vital Sign’ (NVS), a health literacy screening tool. Construct validity was assessed by comparing scores from the two groups. Associations between demographic factors and e-NutLit scores were also explored. Results Sixty-one participants (OP: n = 32; DS: n = 29) completed the study. The total e-NutLit scores for OP was significantly lower than that of DS (71.9 ± 17.9%; 94.5 ± 5.6%, respectively: P = 0.01). Items requiring calculation of nutrient intake from the nutrition information panel (NIP) and interpreting endorsement logos were the worst performing sections on the e-NutLit in both OP (35.9%; 71.9%) and DS (86.2%; 75.8%). Adequate health literacy, indicated by an NVS ≥ 4, was strongly associated with higher scores on the e-NutLit in OP (P = 0.01). Level of education (≤year 10) and lack of engagement in food shopping were significantly associated with poorer competency on the e-NutLit (P < 0.05). Conclusions Comparison of scores indicated that construct validity was established on most items for participants with lower literacy. The e-NutLit identified specific weaknesses, such as nutrient calculations and interpretation of endorsement logos. This pilot study will help inform further development of the e-NutLit.
The I2R-NWPU-NUS Text-to-Speech System for Blizzard Challenge 2018

This paper presents I2R-NWPU-NUS team’s text-to-speech system to Blizzard Challenge 2018. Instead of using unit selection based concatenative speech sysnthesis previous years. we adopt the general deep neural network (DNN) statistical parametric method to synthesize the speech. The frame level acoustic parameters and phone duration are modelled using bidirectional long short-term memory (BLSTM) recurrent neural networks (RNNs). For duration model, 5 states of phone duration are used to predict the duration of each phoneme. Finally, the predicted acoustic parameters (MGC, LF0, V/UV) are taken as inputs to WORLD vocoder to generate the synthetic speech. The listening tests show improvement compared with the results of DNN baseline system.
DMSO_A_216666 2107..2115

1Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran; 2Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran; 3Halal Research Center of IRI, FDA, Tehran, Iran; 4Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; 5Neurogenic Inflammation Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; 6Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran; 7Department of Clinical Biochemistry, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran; 8Department of Clinical Biochemistry, Faculty of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran; 9Department of Internal Medicine, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran; 10Department of Biostatistics, School of Public Health, Iran University of Medical Sciences, Tehran, Iran Background: Type 2 diabetes (T2D) is accompanied by elevated inflammation, oxidative
Migration and Remittances in Haiti: Their Welfare Impact on Poor and Non-Poor Households

The purpose of this study is to identify a person’s likelihood of emigrating to another country and to identify a household’s likelihood of receiving remittances. We also compute average treatment effects as well as the marginal impact of receiving remittances on household welfare, across welfare quantiles. The novelty of our approach is to control for omitted variable bias by including the difference between individual and average propensity scores obtained in an auxiliary regression. The fact that an individual or household is above or below the average propensity score can thus be considered as a proxy of being different from the average for a variety of characteristics that might also be unobservable or unquantifiable. Based on Haitian household survey data from 2012, we find that non-poor individuals are more likely to emigrate but the welfare level of a household per se does not trigger the receipt of remittances. The receipt of remittances favors non-poor households in absolute terms but not in relative terms. While remittances can help overcome extreme poverty (for the poorest 10% but not for the poorest 1%), they do not help people escape moderate poverty.
Factors associated with pleurisy in pigs: A case-control analysis of slaughter pig data for England and Wales

A case-control investigation was undertaken to determine management and health related factors associated with pleurisy in slaughter pigs in England and Wales. Methods: The British Pig Executive Pig Health Scheme database of abattoir pathology was used to identify 121 case (≥10% prevalence of pleurisy on 3 or more assessment dates in the preceding 24 months) and 121 control units (≤5% prevalence of pleurisy on 3 or more assessment dates in the preceding 24 months). Farm data were collected by postal questionnaire. Data from respondents (51 cases and 70 controls) were analysed using simple logistic regression models with Bonferroni corrections. Limited multivariate analyses were also performed to check the robustness of the overall conclusions. Results and conclusions: Management factors associated with increased odds of pleurisy included no all-in all-out pig flow (OR 9.3, 95% confidence interval [CI]: 3.329), rearing of pigs with an age difference of >1 month in the same airspace (OR 6.5 [2.8-17]) and repeated mixing (OR 2.2 [1.4-3.8]) or moving (OR 2.2 [1.5-3.4]) of pigs during the rearing phase. Those associated with decreased odds of pleurisy included filling wean-to-finish or grower-to-finish systems with piglets from ≤3 sources (OR 0.18 [0.07-0.41]) compared to farrow-to-finish systems, cleaning and disinfecting of grower (ORs 0.28 [0.13-0.61] and 0.29 [0.13-0.61]) and finisher (ORs 0.24 [0.11-0.51] and 0.2 [0.09-0.44]) accommodation between groups, and extended down time of grower and finisher accommodation (OR 0.84 [0.75-0.93] and 0.86 [0.77-0.94] respectively for each additional day of downtime). This study demonstrated the value of national-level abattoir pathology data collection systems for case control analyses and generated guidance for on-farm interventions to help reduce the prevalence of pleurisy in slaughter pigs.