Miracle-dz/UniFAR-FTUs huggingface dataset:
QTL analysis of white blood cell, platelet and red blood cell-related traits in an F2 intercross between Landrace and Korean native pigs.

Haematological traits play important roles in disease resistance and defence functions. The objective of this study was to locate quantitative trait loci (QTL) and the associated positional candidate genes influencing haematological traits in an F(2) intercross between Landrace and Korean native pigs. Eight blood-related traits (six erythrocyte traits, one leucocyte trait and one platelet trait) were measured in 816 F(2) progeny. All experimental animals were genotyped with 173 informative microsatellite markers located throughout the pig genome. We report that nine chromosomes harboured QTL for the baseline blood parameters: genomic regions on SSC 1, 4, 5, 6, 8, 9, 11, 13 and 17. Eight of twenty identified QTL reached genome-wide significance. In addition, we evaluated the KIT locus, an obvious candidate gene locus affecting variation in blood-related traits. Using dense single nucleotide polymorphism marker data on SSC 8 and the marker-assisted association test, the strong association of the KIT locus with blood phenotypes was confirmed. In conclusion, our study identified both previously reported and novel QTL affecting baseline haematological parameters in pigs. Additionally, the positional candidate genes identified here could play an important role in elucidating the genetic architecture of haematological phenotype variation in swine and in humans.
Performance model for hybrid MPI+OpenMP master/worker applications

En el entorno actual, diversas ramas de las ciencias, tienen la necesidad de auxiliarse de la computacion de altas prestaciones para la obtencion de resultados a relativamente corto plazo. Ello es debido fundamentalmente, al alto volumen de informacion que necesita ser procesada y tambien al costo computacional que demandan dichos calculos. El beneficio al realizar este procesamiento de manera distribuida y paralela, logra acortar de manera notable los tiempos de espera en la obtencion de los resultados. Para soportar ello, existen fundamentalmente dos modelos de programacion ampliamente extendidos: el modelo de paso de mensajes a traves de librerias basadas en el estandar MPI, y el de memoria compartida con la utilizacion de OpenMP. Las aplicaciones hibridas son aquellas que combinan ambos modelos con el fin de aprovechar en cada caso, las potencialidades especificas del paralelismo en cada uno. Lamentablemente, la practica ha demostrado que la utilizacion de esta combinacion de modelos, no garantiza necesariamente una mejoria en el comportamiento de las aplicaciones. Existen varios parametros que deben ser considerados a determinar la configuracion de la aplicacion que proporciona el mejor tiempo de ejecucion. El numero de proceso que se debe utilizar, el numero de hilos en cada nodo, la distribucion de datos entre procesos e hilos, y asi sucesivamente, son parametros que afectan seriamente elrendimiento de la aplicacion. El valor apropiado de tales parametros depende, por una parte, de las caracteristicas de arquitectura del sistema (latencia de las comunicaciones, el ancho de banda de comunicacion, el tamano y la distribucion de los niveles de memoria cache, la capacidad de computo, etc.) y, por otro lado, de la caracteristicas propias del comportamiento de la aplicacion. La contribucion fundamental de esta tesis radica en la utilizacion de una tecnica novedosa para la prediccion del rendimiento y la eficiencia de aplicaciones hibridas de tipo Master/Worker. En particular, dentro del mundo del aprendizaje automatizado, este metodo de prediccion es conocido como arboles de regresion basados en modelos analiticos. Los resultados experimentales obtenidos permiten ser optimista en cuanto al uso de este algoritmo para la prediccion de ambas metricas o para la seleccion de la mejor configuracion de parametros de ejecucion de la aplicacion.
Regional power grid voltage and reactive power control system for intelligent real-time simulation and evaluation system

Since voltage control may result in voltage frequent adjustments and voltage regulation unreasonable phenomenon, so, before AVC closed loop control running the strategy must be implemented strictly functional and performance testing and verification, to ensure zero risk after put into operation. This paper develops a comprehensive simulation environment and effective means of assessment is expected to put into operation and has been in operation in the area reactive power real-time control system safety analysis and validity assessment. The core of the system framework is responsible for the system data exchange, task scheduling and the results show a visual platform; the remaining part of the independent modules, namely: intelligent simulation module, the standard voltage and reactive power control module, intelligent evaluation modules, intelligent case generator module. This new model is ideal for simulation and assessment of the existing power system in the assessment of different AVC systems which will soon be applied in the Guangdong provincial power grid.
Sınıf Öğretmeni Adaylarının Mesleki Yaşamlarında Karşılaşabileceklerini Düşündükleri Sorunlar

Ogretmen sorunlari Turkiye’de bircok arastirmaya konu olmustur. Bu arastirmalar ise genellikle gorevde olan ogretmenler ile gerceklestirilmistir. Buna karsilik ogretmenlik meslegine hazirlanan ve cok kisa bir sure sonra ogretmenlige baslayacak olan ogretmen adaylarinin atandiklarinda yasayacaklari sorunlara iliskin farkindaliklarini belirlemeye yonelik bir arastirmaya rastlanmamistir. Bu nedenle bu arastirmada; ilkogretim sinif ogretmenligi ogrencilerinin mesleki yasamlarinda karsilasabileceklerini dusundukleri sorunlari belirlemek ve bu sorunlarin cozumune iliskin olarak egitim fakultesinde aldiklari egitimin katkisini sorgulamak amaclanmistir. Arastirmanin verileri 2013 - 2014 bahar yariyilinda Anadolu Universitesi Ilkogretim Bolumu Sinif Ogretmenligi Lisans Programi 4. Sinifta ogrenim goren ve arastirmaya gonullu olarak katilan 36 ogretmen adayindan acik uclu anket yoluyla toplanmistir. Elde edilen verilerin icerik analizi sonucu ogretmen adaylarinin temel gereksinimlere iliskin sorunlar, sosyo – kulturel sorunlar, ogrenciler ile ilgili sorunlar, ogretmenlik meslegi ile ilgili sorunlar, okul, cevre ve aile iliskilerine iliskin sorunlar basliklariyla temalastirilan sorunlarla karsilasabileceklerini belirttikleri gorulmustur. Ogretmen adaylarinin bircogu egitim fakultesinde aldiklari egitimi belirttikleri bu sorunlarin cozumunde yeterli gorurken, bazilari da derslerin cok teorik olmasi ve uygulamaya oldukca az yer vermesi gibi nedenlerle aldiklari egitimi yetersiz gormektedirler. Anahtar Sozcukler: Ilkogretim Sinif Ogretmenligi, Sorunlar, Ogretmen egitimi, Mesleki yasam egitimi
An Online Synchronous Brain Wave Signal Pattern Classifier with Parallel Processing Optimization for Embedded System Implementation

Commercial Brain Computer Interface applications are currently expanding due to the success of widespread dis-semination of low cost devices. Reducing the cost of a traditional system requires appropriate resources, such as proper software tools for signal processing and characterization. In this paper, a methodology for classifying a set of attention and meditation brain wave signal patterns is presented by means of unsupervised signal feature clustering with batch Self-Organizing Maps (b-SOM) and supervised classification by Support Vector Machine (SVM). Previous research on this matter did not combine both methods and also required an important amount of computation time. With the use of a small square neuron grid by b-SOM and an RBF kernel SVM, a well delimited classifier was obtained. The recognition rate was 70% after parameter tuning. In terms of optimization, the parallel b-SOM algorithm reduced drastically the computation time, allowing online clustering and classification for full length input data.
Intraductal Papillary Mucinous Tumors of the Pancreas Confined to Secondary Ducts Show Less Aggressive Pathologic Features as Compared With Those Involving the Main Pancreatic Duct

Intraductal papillary mucinous tumors (IPMTs) of the pancreas are rare tumors characterized by a malignant potential. Because of the progress of imaging procedures, smaller cystic pancreatic lesions are now detected and some of them correspond to IPMTs that involve ectatic pancreatic branch ducts but spare the main pancreatic duct. To investigate differences in morphology and clinical behavior of branch and main duct types of IPMT, a surgical series of 43 cases was studied. All pathologic specimens of IPMT, surgically resected in our institution between October 1987 and July 1998, were analyzed. In all cases, the entire pancreatic specimen was systematically examined. IPMT of the branch type was found in 13 (30%) patients, whereas IPMT of main pancreatic duct type that involved the main pancreatic duct and branch ducts was observed in 30 (70%) patients. Patients with IPMT of the branch type were younger (median age, 55 yrs vs 64 yrs), and all but one of the lesions were located in the head and neck of the pancreas (vs 17 of 30 patients with the main duct type). The size of the cysts ranged from 4 to 55 mm, and the major duct showed a mild dilation in most cases. In contrast to the main pancreatic duct type, which showed invasive carcinoma and in situ carcinoma in 11 (37%) of 30 patients and 6 (20%) of 30 patients, respectively, IPMT of the branch type showed significantly less aggressive histologic lesions with five (39%) patients with simple hyperplasia, six (46%) patients with atypical hyperplasia, and two (15%) patients with in situ carcinoma. No invasive carcinoma was observed in this group. IPMT of the branch type occurs in younger patients and is associated with less aggressive histologic features than is the main pancreatic duct type. Our findings raise the difficult issue of clinical management of IPMT of the branch type as a distinctive group.
Isolation and identification of methanogen-specific DNA from blanket bog peat by PCR amplification and sequence analysis

The presence of methanogenic bacteria was assessed in peat and soil cores taken from upland moors. The sampling area was largely covered by blanket bog peat together with small areas of red-brown limestone and peaty gley. A 30-cm-deep core of each soil type was taken, and DNA was extracted from 5-cm transverse sections. Purified DNA was subjected to PCR amplification with primers IAf and 1100Ar, which specifically amplify 1.1 kb of the archaeal 16S rRNA gene, and ME1 and ME2, which were designed to amplify a 0.75-kb region of the alpha-subunit gene for methyl coenzyme M reductase (MCR). Amplification with both primer pairs was obtained only with DNA extracted from the two deepest sections of the blanket bog peat core. This is consistent with the notion that anaerobiosis is required for activity and survival of the methanogen population. PCR products from both amplifications were cloned, and the resulting transformants were screened with specific oligonucleotide probes internal to the MCR or archaeal 16S rRNA PCR product. Plasmid DNA was extracted from probe-positive clones of both types and the insert was sequenced. The DNA sequences of 8 MCR clones were identical, as were those of 16 of the 17 16S rRNA clones. One clone showed marked variation from the remainder in specific regions of the sequence. From a comparison of these two different 16S rRNA sequences, an oligonucleotide was synthesized that was 100% homologous to a sequence region of the first 16 clones but had six mismatches with the variant. This probe was used to screen primary populations of PCR clones, and all of those that were probe negative were checked for the presence of inserts, which were then sequenced. By using this strategy, further novel methanogen 16S rRNA variants were identified and analyzed. The sequences recovered from the peat formed two clusters on the end of long branches within the methanogen radiation that are distinct from each other. These cannot be placed directly with sequences from any cultured taxa for which sequence information is available.
Lung ultrasound is an accurate diagnostic tool for the diagnosis of pneumonia in the emergency department

Objective The aim of this study was to evaluate the diagnostic accuracy of bedside lung ultrasound and chest radiography (CXR) in patients with suspected pneumonia compared with CT scan and final diagnosis at discharge. Design A prospective clinical study. Methods Lung ultrasound and CXR were performed in sequence in adult patients admitted to the emergency department (ED) for suspected pneumonia. A chest CT scan was performed during hospital stay when clinically indicated. Results 120 patients entered the study. A discharge diagnosis of pneumonia was confirmed in 81 (67.5%). The first CXR was positive in 54/81 patients (sensitivity 67%; 95% CI 56.4% to 76.9%) and negative in 33/39 (specificity 85%; 95% CI 73.3% to 95.9%), whereas lung ultrasound was positive in 80/81 (sensitivity 98%; 95% CI 93.3% to 99.9%) and negative in 37/39 (specificity 95%; 95% CI 82.7% to 99.4%). A CT scan was performed in 30 patients (26 of which were positive for pneumonia); in this subgroup the first CXR was diagnostic for pneumonia in 18/26 cases (sensitivity 69%), whereas ultrasound was positive in 25/26 (sensitivity 96%). The feasibility of ultrasound was 100% and the examination was always performed in less than 5 min. Conclusions Bedside chest ultrasound is a reliable tool for the diagnosis of pneumonia in the ED, probably being superior to CXR in this setting. It is likely that its wider use will allow a faster diagnosis, conducive to a more appropriate and timely therapy.
Serum Uric Acid Independently Predicts Mortality in Patients with Significant, Angiographically Defined Coronary Disease

Background: Uric acid is a nontraditional risk factor implicated in the development of coronary artery disease (CAD). This study prospectively evaluated the predictive value of serum uric acid (SUA) levels for mortality after angiographic diagnosis of CAD. Methods: Blood samples were collected from 1,595 consecutive, consenting patients with significant, angiographically defined CAD (stenosis 70%). Baseline and procedural variables were recorded and levels of SUA were measured. Patients were followed to death or to the time of contact (mean 2.6 years, range 1.8–5.0 years). Results: Patients averaged 65 ± 11 years of age, 78% were male and 170 subjects died during the follow-up period. In univariate analysis of prospectively defined quintiles, SUA predicted all-cause mortality (fifth quintile vs. first four quintiles: hazard ratio 1.9, p < 0.001). In multivariable Cox regression controlling for 20 covariables, independent predictive value for mortality was retained by SUA (hazard ratio 1.5, confidence interval 1.02–2.1, p = 0.04). In subgroup analysis based on diuretic use status, SUA independently predicted mortality among patients not using diuretics, while SUA was not a significant predictor of mortality among those who used diuretics. Conclusions: In patients with significant, angiographically defined CAD, SUA predicted mortality independent of traditional risk factors. This suggests that elevated SUA may be a risk factor for mortality in patients with significant cardiovascular disease and may be a stronger secondary than primary risk factor in CAD.
Long timescale density peaking in JET

Long timescale density peaking has been observed in JET plasmas leading to densities exceeding the Greenwald value. These neutral beam heated discharges are characterized by type-I ELMs and good energy confinement. Central density is limited by neoclassical tearing modes or by termination of H-mode preceded by loss of sawteeth. When these limiting factors are avoided (i.e. at intermediate power level and with optimization of gas puffing) quasi-stationary high density plasmas with peaked density profile are obtained.
Multimodal chromatography: debottlenecking the downstream processing of monoclonal antibodies

The commercial potential of monoclonal antibodies (mAbs) has been continuously increasing during the last years alongside with the number of approved mAb-based drugs and clinical trials. Despite their effectiveness and safety, the general access to this class of biopharmaceuticals is barred by high selling prices. Downstream processing is now considered the bottleneck in the manufacturing of mAbs. Therefore, the design of novel and economic operations and their implementation in the current technology platforms constitutes a pressing need. This review provides an insight into the current state-of-the-art in mAbs purification, focusing on multimodal chromatography as one of the viable options to upgrade the established purification train.
A generalized hydrodynamical Gurevich-Zybin equation of Riemann type and its Lax type integrability

This paper is devoted to the study of a hydrodynamical equation of Riemann type, generalizing the remarkable Gurevich–Zybin system. This multi-component non-homogenous hydrodynamic equation is characterized by the only characteristic flow velocity. The compatible bi-Hamiltonian structures and Lax type representations of the 3-and 4-component generalized Riemann type hydrodynamical system are analyzed. For the first time the obtained results augment the theory of integrability of hydrodynamic type systems, originally developed only for distinct characteristic velocities in homogenous case.
Longitudinal study of the association between smoking as a periodontitis risk and salivary biomarkers related to periodontitis.

BACKGROUND Insufficient data exist regarding the long-term influence of lifestyle factors including smoking on periodontal health. The objective of this study was to examine the prospective association between smoking and periodontal disease progression and the effects of smoking on salivary biomarkers related to periodontitis. METHODS Probing depth (PD) was measured at health checkups of workers in 1999 and 2003; additionally, lifestyle information was obtained through a questionnaire. In 2003, 219 of 256 (86%) workers examined at baseline completed PD measurements; saliva samples were also collected. Change in PD was used for assessment of periodontitis progression when three or more sites displayed an increase of >or=2 mm over 4 years. Salivary biomarker levels were determined by real-time polymerase chain reaction and enzyme assay. Statistical methods included bivariate and multivariate regression analyses. RESULTS In the multiple logistic model, in which lifestyle-related factors served as independent variables, significant variables were current smoking and hours of sleep; respective odds ratios were 2.3 and 2.1. Additionally, 38.5% of periodontal disease progression was attributable to current smoking. Moreover, pack-years of smoking showed a dose-response relationship with disease progression. Levels of salivary markers including prostaglandin E(2), lactoferrin, albumin, aspartate aminotransferase, lactate dehydrogenase, and alkaline phosphatase were significantly lower in current smokers than in non-current smokers. However, no meaningful differences in the proportions of six periodontal pathogens were observed between current and non-current smokers. CONCLUSIONS Smoking exerted the greatest influence on periodontitis risk among lifestyle factors. Smoking may suppress the host-defense system, which may promote periodontal disease progression.
Internet Security Glossary

This Glossary (191 pages of definitions and 13 pages of references) provides abbreviations, explanations, and recommendations for use of information system security terminology. The intent is to improve the comprehensibility of writing that deals with Internet security, particularly Internet Standards documents (ISDs). To avoid confusion, ISDs should use the same term or definition whenever the same concept is mentioned. To improve international understanding, ISDs should use terms in their plainest, dictionary sense. ISDs should use terms established in standards documents and other well-founded publications and should avoid substituting private or newly made-up terms. ISDs should avoid terms that are proprietary or otherwise favor a particular vendor, or that create a bias toward a particular security technology or mechanism versus other, competing techniques that already exist or might be developed in the future.
An improved extreme learning machine for pathological brain detection

In the past decade, pathological brain detection has made remarkable progress, as a result many successful pathological brain detection systems (PBDSs) have been developed. However, the accuracy of these systems still needs significant improvement in order to meet the necessity of real world diagnostic situations. In this paper, an efficient PBDS based on MR images is proposed that markedly improves the recent results. The proposed system makes use of contrast limited adaptive histogram equalization (CLAHE) to enhance the quality of the input MR images. Thereafter, fast discrete curvelet transform via wrapping (FDCT-WR) strategy is harnessed to extract curve like features from the preprocessed images. Subsequently, the dimensionality of the features is reduced using PCA+LDA approach. Finally, a novel improved learning algorithm called IHPSO-ELM is proposed that combines self-organizing hierarchical PSO (HPSO) and extreme learning machine (ELM) for segregation of MR images as pathological or healthy. The HPSO is utilized to optimize the input weights and hidden biases of single-hidden-layer feed-forward neural networks (SLFN), whereas one analytical method is used for determining the output weights. The proposed algorithm performs optimization according to both the root mean squared error (RMSE) and norm of the output weights of SLFNs. Extensive experiments are carried out using three benchmark datasets and the results are compared against other competent schemes. The experimental results indicate that the proposed scheme offers better performance compared to its counterparts. Further, it has been noticed that the proposed IHPSO-ELM obtains higher accuracy and compact network architecture than conventional learning methods.
CP-JKU SUBMISSIONS FOR DCASE-2016 : A HYBRID APPROACH USING BINAURAL I-VECTORS AND DEEP CONVOLUTIONAL NEURAL NETWORKS

This report describes the 4 submissions for Task 1 (Audio scene classification) of the DCASE-2016 challenge of the CP-JKU team. We propose 4 different approaches for Audio Scene Classification (ASC). First, we propose a novel i-vector extraction scheme for ASC using both left and right audio channels. Second, we propose a Deep Convolutional Neural Network (DCNN) architecture trained on spectrograms of audio excerpts in end-to-end fashion. Third, we use a calibration transformation to improve the performance of our binaural i-vector system. Finally, we propose a late-fusion of our binaural i-vector and the DCNN. We report the performance of our proposed methods on the provided cross-validation setup for the DCASE-2016 challenge. Using the late-fusion approach, we improve the performance of the baseline by 17 percentage point in accuracy. Our submissions achieved ranks first and second among 49 submissions in the audio scene classification task of DCASE-2016 challenge.