Miracle-dz/UniFAR-FTUs huggingface dataset:
QTL for traits related to humoral immune response estimated from data of a porcine F2 resource population

This study aimed to map quantitative trait loci (QTL) for traits related to humoral innate immune defence. Therefore, haemolytic complement activity in the alternative and the classical pathway, serum concentration of C3c and of haptoglobin (HP) were measured in blood samples obtained from F2 piglets (n = 457) of a porcine F2 resource population before and after Mycoplasma hyopneumoniae, Aujeszky's disease virus (Suid herpesvirus I, SuHVI) and porcine reproductive and respiratory syndrome virus (PRRSV) vaccination at 6, 14 and 16 weeks of age. Animals were genotyped at 88 autosomal markers. QTL analysis was performed under the line cross and the half sib. Phenotypic data were adjusted for systematic effects by mixed models with and without repeated measures statement. In total, 46 and 21 estimated QTL positions were detected with genome‐wide significance at the 0.05 and 0.01 level, respectively. The proximal region of SSC2 (orthologous to HSA11 0–70 Mb), the distal region of SSC4 (HSA1 95–155 Mb), and the intermediate region of SSC16 (HSA5 0–73 Mb and 150–174 Mb) showed a clustering of estimated QTL positions for complement activity based on the different models. A common genetic background, i.e. a single true QTL, might underlie these QTL positions for related traits. In addition, QTL for antibody titres were detected on SSC1, 2, 6 and 7. With regard to number and magnitude of their impact, QTL for humoral innate immune traits behave like those for other quantitative traits. Discovery of such QTL facilitates the identification of candidate genes for disease resistance and immune competence that are applicable in selective breeding and further research towards improving therapeutic and prophylactic measures.
Isolation of expressed sequence tags of Agaricus bisporus and their assignment to chromosomes

The genome of the cultivated basidiomycete Agaricus bisporus Horst U1 and of its homokaryotic parents has been characterized by using an optimized method of pulsed-field gel electrophoresis. Expressed sequence tags obtained as expressed cDNAs from a primordial tissue-derived cDNA library and a number of previously isolated genes were used to identify the individual chromosomes of the parental lines of Horst U1. The genome consists of 13 chromosomes, and its total size is 31 Mb. For those chromosomes that could not be resolved by contour-clamped homogeneous electric field electrophoresis, the segregation of marker genes was studied in a set of 86 homokaryotic offspring of Horst U1. At least two markers were assigned to each individual chromosome. In this way all individual chromosomes were unequivocally identified. The large size difference observed between the homologous chromosomes IX, harboring the rDNA repeat, was shown to be largely due to a higher copy number of rDNA in parental strain H97 than in parental strain H39.
Explaining industrial growth in coastal China : economic reforms...and what else?

In the 1980s China experienced 'an explosion of pent-up entrepreneurship' facilitated by wide-ranging, although often unorthodox, economic reforms. This article uses data on the output of 23 industrial sectors in seven coastal regions (provinces and counties) over the period 1985 to 1989 to study the correlates of growth. Although industry-specific features the degree of specialization and competition had some influence on growth, much of the action came from region-specific influences and regional spillovers? Regional influences included the open-door policies and special economic zones that successfully attracted investments from overseas Chinese to particular locations. Existing regional strengths, especially high-quality human capital and infrastructure, also contributed to growth. The results illuminate the interplay between conditions conducive for growth for example; the contribution of foreign expertise is greatly enhanced by available human capital. China made judicious use of the advantages of backwardness by targeting areas that were less developed and less encumbered by the legacy of existing institutions, although it was fortunate in this regard that the backward regions were in close proximity to Hong Kong and Taiwan (China). Important also was the transmission of growth impulses across the provinces and counties, possibly through perform cadre and administrative networks.
Language model adaptation for tiny adaptation corpora

In this paper we address the issue of building language models for very small training sets by adapting existing corpora. In particular we investigate methods that combine task speciﬁc unigrams with longer range models trained on a background corpus. We propose a new method to adapt class models and show how fast marginal adaptation can be improved. Instead of estimating the adaptation unigram only on the adaptation corpus, we study speciﬁc methods to adapt unigram models as well. In extensive experimental studies we show the ef-fectiveness of the proposed methods. As compared to FMA as described in [1] we obtain an improvement of nearly 60% for ten utterances of adaptation data.
A Secure Key Management Model for Wireless Mesh Networks

As Wireless Mesh Networks (WMNs) are newly emerging wireless technologies, they are designed to have huge potential for strengthening Internet deployment and access. However, they are far from mature for large-scale deployment in some applications due to the lack of the satisfactory guarantees on security. The main challenges exposed to the security of WMNs come from the facts of the shared nature of the wireless architecture and the lack of globally trusted central authorities. A well-performed security framework for WMNs will contribute to network survivability and strongly support the network growth. A low-computational and scalable key management model for WMNs is proposed in this paper which aims to guarantee well-performed key management services and protection from potential attacks.
Molecular Transport in Viscoelastic Materials: Mechanistic Properties and Chemical Affinities

Simulations show that the kinetics of permeant fluids in viscoelastic matrices depends on the rheological and chemical properties of the material. Fick's law fails to describe transport through viscoelastic materials because of the stress exerted on the incoming fluid which causes a delay. Reversible binding to immobilizing sites also retards permeation of molecules. The effects of mechanical properties and chemical affinities of materials on the transport of solutes are studied. An integro-partial-differential equation is used to model the transport. While the differential part of the equation is represented by an elliptic operator, the integral part describes the contributions of stress and reversible binding. The stability of the model is investigated. The steady-state flux and effective time constant are calculated. The lag time is also studied using multiple integration. Subsequent analyses reveal the dependence of the steady-state flux, the effective time constant, and the lag time on the Young modu.
Enhanced Protection Scheme for Smart Grids Using Power Line Communications Techniques—Part II: Location of High Impedance Fault Position

An effective protection scheme against high impedance faults (HIFs) has to efficiently confront the issues of detection and location simultaneously. In Part I of this study the issue of detection is investigated, while in Part II a method that deals with the exact location of HIF position using an installed power line communication (PLC) system is elaborated. This method comprises specific test signal injections into the power grid after a HIF alarm is set. Using impulse responses that are recorded by the PLC devices, the location of the fault may be derived. A flowchart that describes the usage of the complete method for HIF detection and location is presented. The impulse responses that correspond to several fault cases are shown and the methodology that may lead to the fault location is explained. The effect of the fault type and its impedance on the efficacy of the method is highlighted. Finally, the model is applied to a line that is part of the Greek rural distribution system and its validity is tested.
Speech synthesis using approximate matching of syllables

In this paper we propose a technique for a syllable based speech synthesis system. While syllable based synthesizers produce better sounding speech than diphone and phone, the coverage of all syllables is a non-trivial issue. We address the issue of coverage of syllables through approximating the syllable when the required syllable is not found. To verify our hypothesis, we conducted perceptual studies on manually modified sentences and found that our assumption is valid. Similar approaches have been used in speech synthesis and it shows that such approximation produces intelligible and better quality speech than diphone units.
Indexing of Diagnostic Accuracy Studies in MEDLINE and EMBASE

BACKGROUND STAndards for Reporting of Diagnostic Accuracy (STARD) were published in 2003 and endorsed by some journals but not others. OBJECTIVE To determine whether the quality of indexing of diagnostic accuracy studies in MEDLINE and EMBASE has improved since the STARD statement was published. DESIGN Evaluate the change in the mean number of "accurate index terms" assigned to diagnostic accuracy studies, comparing STARD (endorsing) and non-STARD (non-endorsing) journals, for 2 years before and after STARD publication. RESULTS In MEDLINE, no differences in indexing quality were found for STARD and non-STARD journals before or after the STARD statement was published in 2003. In EMBASE, indexing in STARD journals improved compared with non-STARD journals (p = 0.02). However, articles in STARD journals had half the number of accurate indexing terms as articles in non-STARD journals, both before and after STARD statement publication (p < 0.001).
Energy conservation theory in context aware computing

Awareness to the context is an energy consuming phenomenon. In the modern era of computing it is plausible to design a handheld device which can perform apparently to the higher level of energy conservation. Today Ubiquitous Computing is an evolving area of computing challenges. As per Ubiquitous Computing concepts it is totally based on context-awareness. Context aware systems consist with a large range of sensors which work on various levels of energy ranges. Those energy ranges consumes battery charge accordingly. So it is necessary to devise some vital techniques which have control over the energy consumption of battery and improving the on site performance of hand-held devices. Deliberating the performance of current hand-held devices, the extracted result is found that it give more time in sensing the context rather than sleeping. Hence some maintain the unbeatable accuracy on the cost of extremely energy consumption. Many times it is unnecessary to sense the context because the context is not changing with the corresponding time. Here the concept is to minimizing energy consumption while the sensors are not sensing the context.
Turbo Decoding on the Binary Erasure Channel: Finite-Length Analysis and Turbo Stopping Sets

This paper is devoted to the finite-length analysis of turbo decoding over the binary erasure channel (BEC). The performance of iterative belief-propagation decoding of low-density parity-check (LDPC) codes over the BEC can be characterized in terms of stopping sets. We describe turbo decoding on the BEC which is simpler than turbo decoding on other channels. We then adapt the concept of stopping sets to turbo decoding and state an exact condition for decoding failure. Apply turbo decoding until the transmitted codeword has been recovered, or the decoder fails to progress further. Then the set of erased positions that will remain when the decoder stops is equal to the unique maximum-size turbo stopping set which is also a subset of the set of erased positions. Furthermore, we present some improvements of the basic turbo decoding algorithm on the BEC. The proposed improved turbo decoding algorithm has substantially better error performance as illustrated by the given simulation results. Finally, we give an expression for the turbo stopping set size enumerating function under the uniform interleaver assumption, and an efficient enumeration algorithm of small-size turbo stopping sets for a particular interleaver. The solution is based on the algorithm proposed by Garello et al. in 2001 to compute an exhaustive list of all low-weight codewords in a turbo code.
Information Extraction of Multiple Categories from Pathology Reports

Pathology reports are used to store information about cells and tissues of a patient, and they are crucial to monitor the health of individuals and population groups. In this work we present an evaluation of supervised text classifi cation models for the prediction of relevant categories in pathology reports. Our aim is to integrate automatic classifi ers to improve the current workfl ow of medical experts, and we implement and evaluate different machine learning approaches for a large number of categories. Our results show that we are able to predict nominal categories with high average f-score (81.3%), and we can improve over the majority class baseline by relying on Naive Bayes and feature selection. We also fi nd that the classifi cation of numeric categories is harder, and deeper analysis would be required to predict these labels.
A system for efficient dissemination of weather forecasts for sustainable solar-powered sensors

Depletion-safe and efficient operation of sensor networks powered by miniature solar harvesters demands precise prediction of the future energy intake. Only recently, methods that join local knowledge and global weather forecasts have been shown to improve the prediction performance. However, making use of global weather forecasts requires network-wide dissemination with low energy and resource consumption. We present and evaluate a system architecture that automatically obtains global weather forecasts from freely available online resources and disseminates them into the sensor network. We implemented our system for sensor network hardware based on TinyOS and Java. We conducted a system integration test to verify the functionality of all components and evaluated the performance of the dissemination algorithm with testbed experiments. While we find that energy consumption is negligible and resource usage is low, dissemination was reliable with a low delay compared to the hourly interval of forecast updates.
Prediction of short term adverse events occurrence in NB-UVB phototherapy treatments using data mining

The prediction of short term adverse events occurrence in phototherapy treatment is important for the dermatologists who administrate phototherapy to adjust the treatment and standardize the clinical outcomes. Recently, a modeling technique which can detect the potential short term adverse events occurrence in phototherapy treatments is required for clinicians. Based on data mining, this study tends to explore the significant features and the class distribution of training data for the short term adverse events occurrence prediction in NB-UVB phototherapy treatments. The experimental results highlight that acceptable prediction accuracy can be achieved by using the selected features and the performance of the classifiers can be significantly improved by sampling 40% of negative class samples in training data to teach the learning algorithms.
Thermal-Aware Test Access Mechanism and Wrapper Design Optimization for System-on-Chips

Rapid advances in semiconductor manufacturing technology have led to higher chip power densities, which places greater emphasis on packaging and temperature control during testing. For system-on-chips, peak power-based scheduling algorithms have been used to optimize tests under specified power constraints. However, imposing power constraints does not always solve the problem of overheating due to the non-uniform distribution of power across the chip. This paper presents a TAM/Wrapper co-design methodology for system-on-chips that ensures thermal safety while still optimizing the test schedule. The method combines a simplified thermal-cost model with a traditional bin-packing algorithm to minimize test time while satisfying temperature constraints. Furthermore, for temperature checking, thermal simulation is done using cycle-accurate power profiles for more realistic results. Experiments show that even a minimal sacrifice in test time can yield a considerable decrease in test temperature as well as the possibility of further lowering temperatures beyond those achieved using traditional power-based test scheduling.
Cross-View of Testing Techniques Toward Improving Web-Based Application Testing

Web Applications (WA's) failures may lead to collapse of the institutions, therefore the importance of good quality WA's is increasing over the time. Testing is one of the best quality metrics that decide whether WA's are reliable or not. WA's testing approaches suffer from the lack of proper coverage of WA's functional requirements testing. On the other hand some approaches produce test cases that already cover WA's testing but they also produce a great number of irrelevant test cases. This research analyzed the main testing approaches for WA's and GUI applications. Also we have an overview of Test-Driven Development and its effects on the current development. The specification of good testing approach that satisfies the proper testing is then presented.
Some preliminary results on competition between markets for automated traders

Real market institutions, stock and commodity exchanges for example, do not occur in isolation. Company stock is frequently listed on several stock exchanges, and futures exchanges make it possible for dealers in a particular commodity to offset their risks by trading options in that commodity. While there has been extensive research into agent-based trading in individual markets, there is little work on agents that trade in multiple market scenarios. Our work seeks to address this imbalance, providing an analysis of the behavior of trading agents that are free to move between a number of parallel markets, each of which has different properties.
Basic aspects of the pathogenesis and prevention of non‐melanoma skin cancer in solid organ transplant recipients: a review

As numbers of transplant recipients and survival rates increase, the vulnerability of this population to several malignancies also rises. Non‐melanoma skin cancer (NMSC) carries the highest rates of morbidity and mortality in this population. To avoid these malignancies, it is necessary to identify particular risk factors in transplant recipients and to follow preventive protocols.
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence

We study the problem of identifying the best arm(s) in the stochastic multi-armed bandit setting. This problem has been studied in the literature from two different perspectives: fixed budget and fixed confidence. We propose a unifying approach that leads to a meta-algorithm called unified gap-based exploration (UGapE), with a common structure and similar theoretical analysis for these two settings. We prove a performance bound for the two versions of the algorithm showing that the two problems are characterized by the same notion of complexity. We also show how the UGapE algorithm as well as its theoretical analysis can be extended to take into account the variance of the arms and to multiple bandits. Finally, we evaluate the performance of UGapE and compare it with a number of existing fixed budget and fixed confidence algorithms.
Research of distributed ETL engine based on MAS and data partition

In order to improve the efficiency of ETL workflow executing, this paper presents a distributed ETL engine based on MAS and data partition technology and also researches the methods of partitioning the massive data stream in both horizontal and vertical ways. The engine referred to will partition an ETL workflow which meets the conditions of being partitioned into multiple sub workflows for parallel executing. Each of the sub workflow is executed by an agent, so that multiple agents could work together to complete the collaborative work. Experimental results show that this system has good scalability and could well improve the efficiency of ETL workflow executing.
No FIP fractionation in the active stars AR Psc and AY Cet

Context: The comparison of coronal and photospheric abundances in cool stars is an essential question to resolve. In the Sun an enhancement of the elements with low first ionization potential (FIP) is observed in the corona with respect to the photosphere. Stars with high levels of activity seem to show a depletion of elements with low FIP when compared to solar standard values; however the few cases of active stars in which photospheric values are available for comparison lead to confusing results, and an enlargement of the sample is mandatory for solving this longstanding problem. Aims: We calculate in this paper the photospheric and coronal abundances of two well known active binary systems, AR Psc and AY Cet, to get further insight into the complications of coronal abundances. Methods: Coronal abundances of 9 elements were calculated by means of the reconstruction of a detailed emission measure distribution, using a line-based method that considers the lines from different elements separately. Photospheric abundances of 8 elements were calculated using high-resolution optical spectra of the stars. Results: The results once again show a lack of any FIP-related effect in the coronal abundances of the stars. The presence of metal abundance depletion (MAD) or inverse FIP effects in some stars could stem from a mistaken comparison to solar photospheric values, or from a deficient calculation of photospheric abundances in fast-rotating stars. Conclusions: The lack of FIP fractionation seems to confirm that Alfven waves combined with pondermotive forces are dominant in the corona of active stars.
Recessive nephrocerebellar syndrome on the Galloway-Mowat syndrome spectrum is caused by homozygous protein-truncating mutations of WDR73

Galloway-Mowat syndrome (GMS) is a neurodevelopmental disorder characterized by microcephaly, cerebellar hypoplasia, nephrosis, and profound intellectual disability. Jinks et al. extend the GMS spectrum by identifying a novel nephrocerebellar syndrome with selective striatal cholinergic interneuron loss and complete lateral geniculate nucleus delamination, caused by a frameshift mutation in WDR73.