Miracle-dz/UniFAR-FTUs huggingface dataset:
The molecular genotyping of flower development genes and allelic variations in ‘historic’ barley accessions

This is a genetic study of flowering time in cultivated barley with the aim to identify the alleles contributing to rapid flowering and frost resistance. We have genotyped a collection of 23 historic barley varieties for the crucial genes [VRN-1, VRN-2, VRN-3 (HvFT), Ppd-H1, CO, and Vrs1]. We have amplified the polymorphic mutations by PCR-based methods, and sequenced them to identify possible haplotype groups. The row type was not determined of all accessions, but all the Scandinavian varieties were found to carry mutant alleles of Vrs1, that indicates them to be six-row barleys. The deletion of the crucial segment of VRN-1 vernalization contributes dominant spring growth habit. We found haplotype groups 2 and 4 to be dominant in Northern barleys whereas haplotype groups 1 and 5 dominated in south. The presence of dominant allele VRN-2 gene is addressed to floral repression until plants get vernalized. Most of the 23 varieties were found to have deleted allele of VRN-2, which is connected with a spring growth habit. The only four of the accessions that have the dominant allele of Ppd-H1 that contribute flowering are generally from the south of Europe. HvFT and CO genes CO-interact to influence flowering time. CO haplotype grouping suggest a geographical distribution of different alleles but needs more disseminations. Certain HvFT alleles cause extremely early flowering during apex development in the varieties that have deletion of VRN-2 alleles under long days. VRN-3 alleles of 14 varieties were identified.
Infinite Impulse Response Graph Filters in Wireless Sensor Networks

Many signal processing problems in wireless sensor networks can be solved by graph filtering techniques. Finite impulse response (FIR) graph filters (GFs) have received more attention in the literature because they enable distributed computation by the sensors. However, FIR GFs are limited in their ability to represent the global information of the network. This letter proposes a family of GFs with infinite impulse response (IIR) and provides algorithms for their distributed realization in wireless sensor networks. IIR GFs bring more flexibility to GF designers, as they can be designed and realized even when the graph spectrum is unknown. Numerical results show that IIR GFs are more accurate in approximating ideal GFs and more robust against network variation than FIR GFs.
Housing Tenure Choice Implications of Social Networks

The recent literature on tenure choice has been focusing increasingly on the information aspects of the tenure choice dec ision. However, despite the obvious information channel between social networks and tenure choice, the relationship has drawn little attention in academic research. Since the homeownership decision is almost always associated with a change of location, researchers have often emphasized the importance of modeling tenure choice and mobility decisions jointly. In that joint decision process, the impact of social networks may be multidimensional. Social networks, which in large part are tied to the physical location, are likely to increase the transaction costs of relocation. On the other hand, social networks may ease encourage homeowning through the information channel (e.g., by providing information about mortgage loans and related credit issues, etc.). We estimate the effect of social networks on the joint tenure-mobility decision mechanism. We also address the issue of potential endogeneity of social networks in this joint mobility-tenure choice decision process.
Building symbolic representations of intuitive real-time skills from performance data

Building Symbolic Representations of Intuitive Real-time Skills from Performance Data D. Michie and R. Camacho The Turing Institute, Glasgow, UK Abstract Real-time control skills are ordinarily tacit | their possessors cannot explicitly communicate them. But given su cient sampling of a trained expert's input{output behaviour, machine learning programs have been found capable of constructing rules which, when run as programs, deliver behaviours similar to those
Local Area Network Reactivation in Never Die Network for a Large Scale Disaster

If a large scale disaster such as East Japan Great Earthquake is occurred, many resident areas would be isolated with others because of the disconnection of transportations, communications, and so on. In fact, in the earthquake, there were many areas in the coast side of northern Japan where is isolated because of the damages, blackouts, and congestions of network information systems. In case of such a large-scale disaster, it is considered that there are two important functions for Disaster Information Network System. One is to keep connectivity even if the network condition is bad. Thus, significant information such as rescue and evacuation could be transmitted between disaster areas and disaster headquarter. Another is to reactivate network connections quickly inside of a disaster area. Just after earthquake in a disaster area, local disaster information such as evacuation shelter, food supply, and local damage is tend be important. Therefore, in order to provide local disaster information, network connection within a resident area should be reactivated as fast as possible even if it is isolated from other areas. In this paper, Never Die Network consisted of cognitive wireless networks and satellite system that we have proposed is introduced, and the evaluations are held in assumptions of rural areas such as the coast cities of Iwate Prefecture where heavily disaster by East Japan Great Earthquake. The results shows that the proposed system is quickly recovered than other traditional network systems such as wired, wireless, and cognitive wireless network systems, and it is considered to be useful for the isolation by a ultra large scale disaster.
Assessing the suitability of Kinect for measuring the impact of a week-long Feldenkrais method workshop on pianists’ posture and movement

The Microsoft Kinect depth sensor could offer a convenient, markerless solution for quantifying the head and torso movements of pianists to examine the impact of somatic training on playing postures and movement. To assess the suitability of the Kinect for this application, we tracked four professional piano teachers performing scales immediately before and after a week-long workshop involving daily Feldenkrais Awareness through Movement (ATM) lessons. We compared Kinect skeletal tracking data with 2D reference data obtained simultaneously using Dartfish
A preliminary investigation of distributed and cooperative user authentication

Smartphones and other highly mobile yet sophisticated technologies are rapidly spreading through society and increasingly finding their way into pockets and handbags. As reliance upon these intensifies and familiarity grows, human nature dictates that more and more personal details and information is now to be found upon such devices. The need to secure and protect this valuable and desirable information is becoming ever more prevalent. Building upon previous work which proposed a novel approach to user authentication, an Authentication Aura, this paper investigates the latent security potential contained in surrounding devices in everyday life. An experiment has been undertaken to ascertain the technological infrastructure, devices and inert objects that surround individuals to establish if these items might be significant. The results suggest that inert possessions may offer a surprisingly large potential with some being in close proximity to experimental subjects for over 45% of the entire period. With other graphical analysis illustrating the consistency of presence, this work suggests that everyday possessions and devices can be leveraged to augment traditional approaches and even in certain circumstances, during device activation remove the need to authenticate.
Error recovery in software process

Computers in today's world are equipped with still more and more complicated and sophisticated programs to fulfil requirements of their users. Demand on such programs poses enhanced claims on their development and maintenance. While in the past majority of applications was a work of individuals or small groups of people, today's program packages are result of work of distributed teams. Extend of the result product and distribution of resources participating on the product creation requires definition, instantiation and enactment of corresponding process. However, definition and enactment of really large process involve some complications, especially when an error during process enactment is encountered.
Tidal Debris in Elliptical Galaxies as Tracers of Mergers with Disks

We use a set of high-resolution N-body simulations of binary galaxy mergers to show that the morphologies of the tidal features that are seen around a large fraction of nearby, massive ellipticals in the field cannot be reproduced by equal-mass dissipationless mergers; rather, they are well explained by the accretion of disk-dominated galaxies. In particular, the arm- and looplike morphologies of the observed tidal debris can only be produced by the kinematically cold material of the disk components of the accreted galaxies. The tidal features that arise from such “cold-accretion” events onto a massive elliptical are visible for significantly longer timescales than the features produced by elliptical-elliptical mergers (about 1-2 Gyr vs. a few hundred million years). Mass ratios of the order of 1:10 between the accreting elliptical and the accreted disk are sufficient to match the brightness of the observed debris. Furthermore, stellar population synthesis models and simple order-of-magnitude calculations indicate that the colors of the tidal features generated in such minor cold-accretion events are relatively red, in agreement with the observations. The minor cold-accretion events that explain the presence, brightness, and structural and color properties of the tidal debris cause only a modest mass and luminosity increase in the accreting massive elliptical. These results, coupled with the relative statistical frequencies of disk- and bulge-dominated galaxies in the field, suggest that massive ellipticals assemble most of their mass well before their tidal debris forms through the accretion of relatively little, kinematically cold material rather than in very recent, dissipationless major mergers.
Transparencia activa, su relación con el ámbito de gobierno:caso administraciones públicas territoriales en Colombia. [Active transparency and its relationship with the sphere of government: the case of territorial public administrations in Colombia]

El objetivo de la investigacion fue determinar el grado de transparencia activa en las administraciones publicas territoriales en Colombia y evaluar la influencia que puede tener el ambito de gobierno en sus practicas de divulgacion de informacion. Se diseno un indice de transparencia global (ITG), a partir de la informacion publicada en sus sitios web y se empleo el modelo de ANOVA para comprobar la existencia de diferencias entre este tipo de instituciones. Los resultados evidenciaron un grado medio en la transparencia activa y se encontro que no existen diferencias estadisticamente significativas en los resultados obtenidos entre alcaldias y gobernaciones, por lo que el ambito de gobierno pareciera no ser un factor que influye en la divulgacion de informacion. Palabras clave: Transparencia activa, divulgacion de la informacion, administraciones publicas territoriales. Abstract The objective is to determine the degree of active transparency in the territorial public administrations in Colombia and to evaluate the influence that the scope of government can have in its information disclosure practices. A global transparency index (ITG) was designed based on the information published on its websites and the ANOVA model was used to verify the existence of differences between this type of institutions. The results evidenced a medium degree in active transparency and it was found that there are no statistically significant differences in the results obtained between mayors and governorships, so that the government sphere seems not to be a factor that influences the disclosure of information. Keywords: Active transparency, disclosure of information, regional public administrations. Resumo O objetivo e determinar o grau de transparencia ativa nas administracoes publicas territoriais na Colombia e a influencia que o alcance do governo pode ter em suas praticas de divulgacao de informacoes. Um indice de transparencia global (ITG) foi projetado com base nas informacoes publicadas em seus sites e o modelo ANOVA foi utilizado para verificar a existencia de diferencas entre esse tipo de instituicoes. Os resultados evidenciaram um grau medio de transparencia ativa e verificou-se que existem diferencas estatisticamente significativas nos resultados obtidos entre o principal e governadores, que a esfera do governo parece ser um fator que influencia a divulgacao da informacao. Palavras-chave: Transparencia ativa, divulgacao de informacoes, administracoes publicas regionais
A Phase I, Randomized, Open-Label, Parallel-Cohort, Dose-Finding Study of Elacridar (GF120918) and Oral Topotecan in Cancer Patients

Purpose: Breast cancer resistance protein (ABCG2) substantially limits the oral bioavailability of topotecan. Coadministration with elacridar, an inhibitor of breast cancer resistance protein–mediated drug transport, increases the bioavailability of topotecan. The aim of this study was to establish the lowest effective dose of elacridar to obtain maximum oral bioavailability of topotecan and to determine the optimal schedule of coadministration of oral topotecan and elacridar. In the second part of this study, dose-limiting toxicities and maximum tolerated dose of oral topotecan coadministered with elacridar, at a daily times five regimen administered every 21 days, were established. Experimental Design: In part I, 20 patients were randomized to receive 100, 300, 500, 700, or 1,000 mg of elacridar on days 1 and 8 1 h before or simultaneously with 2.0 mg oral topotecan, which was also randomized. On day 15, all patients were treated with 1.5 mg/m2 i.v. topotecan. In part II of the study, patients were treated daily with oral topotecan and with the lowest effective dose of elacridar following from part I. The maximum tolerated dose and dose-limiting toxicity were determined in cohorts of three patients. Blood samples were taken on days 1, 8, and 15 of part I and on day 1 of cycles 1 and 2 of part II. Results: Complete apparent oral bioavailability of topotecan (102 ± 7%) for all treatment arms with elacridar in both schedules was seen in part I. In the topotecan dose escalation part, two dose-limiting toxicities were seen at the 2.5 mg topotecan dose level. Conclusion: The recommended schedule is 2.0 mg oral topotecan plus 100 mg elacridar administered concomitantly daily times five every 21 days.
RECONSTRUCTION FROM CONTOUR DATA AND SCULPTING 3D OBJECTS

1 Internet: savchen@u-aizu.ac. jp ABSTRACT This paper presents practical applications of volume spline techniques for interpolating scattered data. The surface of the solid is represented by the equation f(x, y, z) = 0. Reconstructed objects can be easily modified by further application of sculpting. A femur has been reconstructed from parallel crosssections to illustrate the capability of the presented approach.
That's on my mind! robot to human intention communication through on-board projection on shared floor space

The upcoming new generation of autonomous vehicles for transporting materials in industrial environments will be more versatile, flexible and efficient than traditional AGVs, which simply follow pre-defined paths. However, freely navigating vehicles can appear unpredictable to human workers and thus cause stress and render joint use of the available space inefficient. Here we address this issue and propose on-board intention projection on the shared floor space for communication from robot to human. We present a research prototype of a robotic fork-lift equipped with a LED projector to visualize internal state information and intents. We describe the projector system and discuss calibration issues. The robot's ability to communicate its intentions is evaluated in realistic situations where test subjects meet the robotic forklift. The results show that already adding simple information, such as the trajectory and the space to be occupied by the robot in the near future, is able to effectively improve human response to the robot.
Child Support Award Amounts and Fathers ’ Participation in the Underground Economy

Researchers have long noted that child support policy for low-income parents may discourage formal child support payments and increase fathers’ participation in the underground economy. Among other factors, low-income fathers may have an incentive to avoid the formal child support system through underground work, since child support order amounts for low-income fathers can be quite high relative to paternal income. Low disregards, which amount to a tax on formal child support, may also decrease fathers’ incentives to pay formal child support, increasing under-the-table child support and paternal participation in the underground economy. While qualitative research has documented these effects, there has been little empirical research about the effects of child support order amounts on father’s participation in the underground economy. This paper uses Fragile Families data merged with a state-level measure of order amounts among low-income parents to estimate a simple bivariate probit of fathers’ employment in the regular and underground economy, including measures of broader ’offthe-books’ work and measures of illegal activity. Initial estimates indicate that high order amounts for low-income fathers are associated with greater underground work and but may also increase employment in regular work. Moreover, this effect appears to be driven by increased illegal activity; high order amounts show a strong association with increased illegal activity. Initial estimates show little effects of the disregard on off-the-books employment.
Latent structure of the hospital anxiety and depression scale: a 10 year systematic review

Latent structure of the hospital anxiety and depression scale: a 10 year systematic review. You are free: • to copy, distribute, display, and perform the work. • to make derivative works. Under the following conditions: • Attribution — You must give the original author credit. • Non-Commercial — You may not use this work for commercial purposes. • Share Alike — If you alter, transform, or build upon this work, you may distribute the resulting work only under a licence identical to this one. For any reuse or distribution, you must make clear to others the licence terms of this work. Any of these conditions can be waived if you get permission from the author. Your fair use and other rights are in no way affected by the above. Objective: To systematically review the latent structure of the Hospital Anxiety and Depression scale (HADS). variable analysis of the HADS were included. Results: Twenty-five of the 50 reviewed studies revealed a two-factor structure, the most commonly found HADS structure. Additionally, five studies revealed unidimensional, 17 studies revealed three-factor, and two studies revealed four-factor structures. One study provided equal support for two-and three-factor structures. Different latent variable analysis methods revealed correspondingly different structures: exploratory factor analysis studies revealed primarily two-factor structures, confirmatory factor analysis studies revealed primarily three-factor structures, and item response theory studies revealed primarily unidimensional structures. Conclusion: The heterogeneous results of the current review suggest that the latent structure of the HADS is unclear, and dependent on statistical methods invoked. While the HADS has been shown to be an effective measure of emotional distress, its inability to consistently differentiate between the constructs of anxiety and depression means that its use needs to be targeted to more general measurement of distress.
Forecasting Exchange Rates for Central and Eastern European Currencies: A Comparison of Multivariate Time Series Models

This article compares the accuracy of vector autoregressive (VAR), restricted vector autoregressive (RVAR), Bayesian vector autoregressive (BVAR), vector error correction (VEC) and Bayesian vector error correction (BVEC) models in forecasting the exchange rates for ve Central and Eastern European currencies (Czech Koruna, Hungarian Forint, Polish Zloty, Slovak Koruna and Slovenian Tolar) against the US dollar and the Euro. Among the speci cations composing this battery of multivariate time series models, those with the smallest prediction error still fail to reject the test of equality of forecasting accuracy against the random walk model in short term predictions.
A State Space Model for predicting Wildland Fire Risk

Wildland fire managers have long desired to know the risks of severe fire events well in advance of its happening. A number of actions are available to address severe fire seasons. However, contingency actions have associated costs and timeliness issues. These issues require information about the likelihood of fire occurrence. In this talk we describe a probability model for predicting wildland fire risks based on non-linear state-space models. By the choice of variables included in the state space, we can handle many situations, for example, the history of the process (locations and times of fires) up to the present in addition to characteristics of the environment that might serve as explanatories. We found the model to be useful for assessing the importance of commonly used fire danger indices and for predicting expected numbers of fires in a region.
Decentralised clustered and hash based intrusion detection system for wireless sensor networks

Looking at the future of the wireless sensor networks and the applications which are likely to be deployed on it, the security is now becoming an evident feature. Lot many security architectures are proposed, but looking to the energy and memory constraints, the implementation still demands good amount of research. The simpler way seems is, to detect the intruder as early as possible and take the corrective steps for damage control. Here we propose an improved secured hash based IDS strategy using deployment knowledge. This knowledge and strategy can be used to prevent exterior and interior intruders using one way spatial and temporal hash functions.
Social Appraisal and Social Referencing: Two Components of Affective Social Learning

Social learning is likely to include affective processes: it is necessary for newcomers to discover what value to attach to objects, persons, and events in a given social environment. This learning relies largely on the evaluation of others’ emotional expressions. This study has two objectives. Firstly, we compare two closely related concepts that are employed to describe the use of another person’s appraisal to make sense of a given situation: social appraisal and social referencing. We contend that social referencing constitutes a type of social appraisal. Secondly, we introduce the concept of affective social learning with the hope that it may help to discriminate the different ways in which emotions play a critical role in the processes of socialization.