Miracle-dz/UniFAR-FTUs huggingface dataset:
Workshop Organisation Organising Committee

Pepperberg has been studying the cognitive and communicative abilities of Grey parrots for over 40 years. She will briefly describe the history of research on avian abilities, the training techniques that she has used to establish two-way communication with parrots, and the highlights of her work with Alex that were possible because of this communication system. She will present data on her most recent research on topics such as probabilistic learning and Piagetian tasks that have been carried out with her current subjects, Griffin and Athena, showing how their intelligence compares with that of human children.
A simple model for squirt-flow dispersion and attenuation in fluid-saturated granular rocks.

A major cause of seismic attenuation in fluid-saturated rocks is the flow of the pore fluid induced by the passing wave. At sonic and ultrasonic frequencies, attenuation appears to be dominated by the local (pore-scale) flow between pores of different shapes and orientations. A simple squirt flow model is developed in which all of the parameters can be independently measured or estimated from measurements. The pore space of the rock is assumed to consist of stiff porosity and compliant (or soft) pores present at grain contacts. The effect of isotropically distributed compliant pores is modeled by considering pressure relaxation in a disk-shaped gap between adjacent grains. This derivation gives the complex and frequency-dependent effective bulk and shear moduli of a rock, in which the compliant pores are liquid saturated and stiff pores are dry. The resulting squirt model is consistent with Gassmann’s and Mavko–Jizba equations at low and high frequencies, respectively. The magnitude of attenuation and dis.
Susceptibility of a cyst and a root-knot nematode to three nematode-trapping fungi

Il est demonstre que deux champignons predateurs de nematodes, Arthrobotrys haptotyla et A. thaumasia, ont preferentiellement piege et colonise Meloidogyne javanica plutot que Heterodera schachtii, tant dans en pots contenant un limon argileux que sur milieu gelose en boites de Petri. Par contre, les deux nematodes ont montre une sensibilite equivalente a celle d'Arthrobotrys dactyloides dans le sol et presque equivalente sur gelose. Le fait que A. haptotyla et A. thaumasia forment des pieges adhesifs tandis que A. dactyloides n'en forme pas - d'autres observations indiquant des types de sensibilite identiques - suggere que les nematodes galligenes pourraient etre en general sensibles aux champignons formant des pieges adhesifs tandis que les nematodes a kystes y seraient resistants. L'action de A. haptotyla doit etre notee : il s'est en effet tres fortement developpe (>10 4 propagules/g de sol), il a inhibe substantiellement (>90 %) l'invasion des racines par M. javanica, et il a ete possible de quantifier son activite parasitaire par extraction des nematodes pieges dans le sol.
The future of monetary policy frameworks

Ten years after the economic and financial crisis of 2007‐09, the recovery in the euro area is resilient and increasingly broad‐based even if overall risks remain tilted to the downside. Monetary policy plays a crucial role in supporting that recovery. Through a combination of interest rate cuts and expansions of the Eurosystem balance sheet, the ECB provided the necessary degree of monetary stimulus to prevent an even deeper cyclical downturn and to avert the risk of outright deflation. The continuation of such monetary stimulus remains important to ensure a sustainable adjustment of the inflation process towards levels consistent with the ECB price stability objective.
Aluminium as a material for modern structures

The paper offers a systematic outline of aluminium alloys and places emphasis on their advantages by providing examples of aluminium use in modern structures. Rapid development of standards for this "new" material enables its wider utilization although all participants in the construction process, structural engineers in particular, should be additionally educated in this segment to enable a real increase in its use.
The Effect of Culture on Holiday Recovery Experiences

The aim of this research is to identify the cultural attributes of the tourists by utilizing the Hofstede’ culture scale and to reveal which cultural attributes more or less make use of holiday recovery experiences, and to eventually provide some recommendations and new insights for the sector, pragmatics and academics. According to the result of the researches conducted for these purposes, uncertainty avoidance affects relaxation and control, community affects control, power distance affects detachment. However, it was found that femininity or masculinity had no effect on holiday recovery experiences and tourist did not have mastery attitude.
Stress Testing on Silicon Carbide Electronic Devices for Prognostics and Health Management

Power conversion systems for energy storage and other distributed energy resource applications are among the drivers of the important role that power electronics plays in providing reliable electricity. Wide band gap semiconductors such as silicon carbide (SiC) and gallium nitride (GaN) will help increase the performance and efficiency of power electronic equipment while condition monitoring (CM) and prognostics and health management (PHM) will increase the operational availability of the equipment and thereby make it more cost effective. Voltage and/or temperature stress testing were performed on a number of SiC devices in order to accelerate failure modes and to identify measureable shifts in electrical characteristics which may provide early indication of those failures. Those shifts can be interpreted and modeled to provide prognostic signatures for use in CM and/or PHM. Such experiments will also lead to a deeper understanding of basic device physics and the degradation mechanisms behind failure.
Comparative transcriptome analysis of the differentiating gonads in Scatophagus argus

The reproductive-related studies, including genetic and genomic such as gonadal transcriptome analyses, have previously focused on the adult spotted scat, with little information on juvenile fish. Transcriptomics is a powerful tool that allows for massive parallel analysis to identify differential expression and the patterns of gene expression holistically at a particular stage in a cell or tissue development. This study presents the first report on gonadal transcriptome analysis of the differentiating (juvenile; 4 months after hatch; stage I ovary and testis) spotted scat gonads. The study revealed potential reproduction and gonadal development-related genes. A total of 25936 genes were identified, of which 16248 were co-expressed, 17893 and 17258 expressed in males and females, respectively, from sequence data of testis I (n = 3) and ovary I (n = 2). A total of 6549 differentially expressed genes (DEGs) were identified between males and females. Genes attributable to male gonad development pathway such as dmrt1, gsdf, and amh are significantly expressed in differentiating testes, while female-related genes such as foxl2, cyp19a1a, 42sp50 and sox3 were expressed considerably in differentiating ovaries. In addition, dmrt1/dmrt1y was not expressed in the female (FPKM=0.00), while its paralog dmrt1b was expressed in both males and females. In the male pathway, dmrt1y and gsdf are critical for sex determination and maintenance while foxl2/foxl3 and cyp19a1a are critical in the female development pathway. The current studies provide an insight into the expression patterns of sex and gonadal-related genes in differentiating gonads of spotted scat.
What Is the Best Age for Diagnostic Prediction of Pediatric Long-QT Syndrome With a Borderline QT Interval?

ECGs for long-QT syndrome (LQTS) with borderline long-QT intervals can be troublesome because of the absence of a gold standard diagnostic criterion. The approach to diagnose children with borderline long-QT intervals is undefined, and there is no clarity on whether they should be followed up. There is concern that timely diagnosis and treatment may not be achieved for children with true LQTS who are at risk of sudden death. In the international LQTS registry study, the 5-year cumulative probability of aborted cardiac arrest or sudden cardiac death in children and adolescents with a QTc of <500 ms with and without a history of syncope was reported to be 11% and 1%, respectively.1 See Article by Vink et al In Japan, there is a nationwide school-based ECG screening program for heart diseases for all first, seventh, and 10th graders (ages 6–7, 12–13, and 15–16 years, respectively). 2,3 In this program, the detection range for a long-QT interval is a QTc of ≥450 ms at a heart rate of <75 beats per minute and ≥500 ms at a heart rate of ≥75 beats per minute. Moreover, age- and …
TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages.

Biotechnological advances in sequencing have led to an explosion of publicly available data via large international consortia such as The Cancer Genome Atlas (TCGA), The Encyclopedia of DNA Elements (ENCODE), and The NIH Roadmap Epigenomics Mapping Consortium (Roadmap). These projects have provided unprecedented opportunities to interrogate the epigenome of cultured cancer cell lines as well as normal and tumor tissues with high genomic resolution. The Bioconductor project offers more than 1,000 open-source software and statistical packages to analyze high-throughput genomic data. However, most packages are designed for specific data types (e.g. expression, epigenetics, genomics) and there is no one comprehensive tool that provides a complete integrative analysis of the resources and data provided by all three public projects. A need to create an integration of these different analyses was recently proposed. In this workflow, we provide a series of biologically focused integrative analyses of different molecular data. We describe how to download, process and prepare TCGA data and by harnessing several key Bioconductor packages, we describe how to extract biologically meaningful genomic and epigenomic data. Using Roadmap and ENCODE data, we provide a work plan to identify biologically relevant functional epigenomic elements associated with cancer. To illustrate our workflow, we analyzed two types of brain tumors: low-grade glioma (LGG) versus high-grade glioma (glioblastoma multiform or GBM). This workflow introduces the following Bioconductor packages: AnnotationHub, ChIPSeeker, ComplexHeatmap, pathview, ELMER, GAIA, MINET, RTCGAToolbox, TCGAbiolinks.
Mitochondrial dysfunction in COPD patients with low body mass index

Patients with chronic obstructive pulmonary disease (COPD) show abnormal adaptations of skeletal muscle redox status after exercise training. Increased skeletal muscle oxidative stress in COPD patients may prompt mitochondrial dysfunction. The present study explores the association between body composition and mitochondrial respiration in seven COPD patients with low body mass index (BMIL), eight COPD patients with normal body mass index (BMIN) and seven healthy controls. All of them underwent a vastus lateralis biopsy in which muscle structure, in vitro mitochondrial respiratory function, uncoupling protein 3 (UCP3) mRNA expression and glutathione levels in both isolated mitochondria and the whole muscle were determined. Mitochondrial respiratory function (assessed by acceptor control ratio (ACR)) was impaired in BMIL (2.2±0.6) compared with both BMIN (5.3±1.3) and controls (8.2±1.3). ACR significantly correlated with arterial oxygen tension and with muscle endurance but it showed a negative association with exercise-induced increase in blood lactate levels. UCP3 mRNA expression was reduced in BMIL patients. In conclusion, chronic obstructive pulmonary disease patients with low body mass index show electron transport chain dysfunction, which may contribute to low muscle endurance in the current subgroup of patients.
Comparison of cross-platform technologies for EGFR T790M testing in patients with non-small cell lung cancer

Somatic mutations in the gene encoding epidermal growth factor receptor (EGFR) play an important role in determining targeted treatment modalities in non-small cell lung cancer (NSCLC). The EGFR T790M mutation emerges in approximately 50% of cases who acquire resistance to tyrosine kinase inhibitors. Detecting EGFR T790M mutation in tumor tissue is challenging due to heterogeneity of the tumor, low abundance of the mutation and difficulty for re-biopsy in patients with advanced disease. Alternatively, circulating tumor DNA (ctDNA) has been proposed as a non-invasive method for mutational analysis. The presence of EGFR mutations in ctDNA predicts response to the EGFR TKIs in the first-line setting. Molecular testing is now considered a standard care for NSCLC. The advent of standard commercially available kits and targeted mutational analysis has revolutionized the accuracy of mutation detection platforms for detection of EGFR mutations. Our review provides an overview of various commonly used platforms for detecting EGFR T790M mutation in tumor tissue and plasma.
A time-efficient web-based teaching tool to improve medical knowledge and decrease ABIM failure rate in select residents

Aim The American Board of Internal Medicine (ABIM) exam's pass rate is considered a quality measure of a residency program, yet few interventions have shown benefit in reducing the failure rate. We developed a web-based Directed Reading (DR) program with an aim to increase medical knowledge and reduce ABIM exam failure rate. Methods Internal medicine residents at our academic medical center with In-Training Examination (ITE) scores ≤35th percentile from 2007 to 2013 were enrolled in DR. The program matches residents to reading assignments based on their own ITE-failed educational objectives and provides direct electronic feedback from their teaching physicians. ABIM exam pass rates were analyzed across various groups between 2002 and 2013 to examine the effect of the DR program on residents with ITE scores ≤35 percentile pre- (2002–2006) and post-intervention (2007–2013). A time commitment survey was also given to physicians and DR residents at the end of the study. Results Residents who never scored ≤35 percentile on ITE were the most likely to pass the ABIM exam on first attempt regardless of time period. For those who ever scored ≤35 percentile on ITE, 91.9% of residents who participated in DR passed the ABIM exam on first attempt vs 85.2% of their counterparts pre-intervention (p<0.001). This showed an improvement in ABIM exam pass rate for this subset of residents after introduction of the DR program. The time survey showed that faculty used an average of 40±18 min per week to participate in DR and residents required an average of 25 min to search/read about the objective and 20 min to write a response. Conclusions Although residents who ever scored ≤35 percentile on ITE were more likely to fail ABIM exam on first attempt, those who participated in the DR program were less likely to fail than the historical control counterparts. The web-based teaching method required little time commitment by faculty.
Hashtags Functions in the Protests Across Brazil

In this article, we discuss the communicative functions of hashtags during a period of major social protests in Brazil. Drawing from a theoretical background of the use of Twitter and hashtags in protests and the functions of language, we extracted a sample of 46,090 hashtags from 2,321,249 tweets related to Brazilian protests in June 2013. We analyzed the hashtags through content analysis, focusing on functions, and co-occurrences. We also qualitatively analyzed a group of 500 most retweeted tweets to understand the users’ tagging behavior. Our results show how users appropriate tags to accomplish different effects on the narrative of the protests.
Aggregate and regional demand for electricity in Malaysia

The main objective of this paper is the analysis of electricity consumption in Malaysia as a whole and its three regions, namely, Peninsular Malaysia, Sabah and Sarawak. This analysis has been carried out using distinguished data in sectoral level for 44 quarters (2000Q1-2010Q4). For this purpose, two log-log static and dynamic panel demand functions are estimated. The dynamic model, which is based on a partial adjustment approach, is used to compare with the static model. The aggregate and the three regional models are estimated based on their economic sectors in both the dynamic and static methods. This study seeks to reveal some features of electricity consumption in Malaysia and its regions. It is found that the short and long- run price elasticities of electricity demand in all regions of Malaysia are inelastic. Consumers’ responsiveness to changes in electricity prices in the short-run is low, while they have a high response to the long-run changes in the entire Malaysian economy and its regions. This means that, while the short and long-run price elasticities of electricity demand are lower than one, the magnitudes of the long-run elasticities are greater than the short-run elasticities. Moreover, all elasticities in the dynamic models are smaller than the static models. The estimated short and long-run cross-price elasticities of Liquefied Petroleum Gas (LPG) are negative which suggests that LPG and electricity are complementary goods.
A comparison of three discrete methods for classification of heart disease data

The classification of heart disease patients is of great importance in cardiovascular disease diagnosis. Numerous data mining techniques have been used so far by the researchers to aid health care professionals in the diagnosis of heart disease. For this task, many algorithms have been proposed in the previous few years. In this paper, we have studied different supervised machine learning techniques for classification of heart disease data and have performed a procedural comparison of these. We have used the C4.5 decision tree classifier, a naive Bayes classifier, and a Support Vector Machine (SVM) classifier over a large set of heart disease data. The data used in this study is the Cleveland Clinic Foundation Heart Disease Data Set available at UCI Machine Learning Repository. We have found that SVM outperformed both naive Bayes and C4.5 classifier, giving the best accuracy rate of correctly classifying highest number of instances. We have also found naive Bayes classifier achieved a competitive performance though the assumption of normality of the data is strongly violated. Bangladesh J. Sci. Ind. Res. 50(4), 293-296, 2015
Diazotrophic growth of the unicellular cyanobacterium Gloeothece sp. PCC 6909 in continuous culture

The unicellular cyanobacterium Gloeothece sp. PCC 6909 was grown diazotrophically in continuous culture. Various light-dark regimes and dilution rates were applied. Nitrogenase activity (acetylene reduction), oxygen-production and -consumption, and glycogen were measured over 24 h periods covering one complete light-dark cycle. Gloeothece fixed nitrogen predominantly in the light, concomitant with photosynthetic oxygen evolution. This result was found irrespective of the imposed light-dark regime or dilution rate. It is concluded that temporal separation of photosynthesis and nitrogen fixation is not obligatory in Gloeothece.
Novel conditioning regimens for bone marrow transplantation

Bone marrow transplantation (BMT) has evolved into an effective strategy for the treatment of hematological and oncological disorders. Radiotherapy and chemotherapy are used as conditioning regimens prior to BMT to suppress host immunity and reduce tumor burden. High doses of total body irradiation are conventionally administered along with alkylating agents, ie, the myeloablative regimen, to help ensure rapid engraftment of donor cells and to prevent relapse. However, the toxicity of the myeloablative conditioning regimen and unacceptable nonrelapse mortality rules out this approach for older patients by whom less intense prepara- tive regimens are likely to be better tolerated. The reduced-intensity and nonmyeloablative conditioning regimens have been demonstrated by many investigators to be novel approaches resulting in a lower nonrelapse mortality rate and lower incidence of severe acute graft versus host disease. Here, we review the conditioning regimens employed as a pretreatment for BMT, and focus on the novel conditioning regimens and cutting edge developments.
First report of the European flat oyster Ostrea edulis, identified genetically, from Oyster Harbour, Albany, south-western Western Australia

Ostrea angasi is the only large native ostreine species in southern Australian waters (i.e. New South Wales, Victoria, Tasmania, South Australia and Western Australia (WA)). It has also been recorded as a fossil from Late Pliocene calcarenites of the Roe Plain along the south-eastern coast of WA. Wild populations were harvested for food before and after European settlement. A sample of flat oysters from Oyster Harbour, Albany, WA, was typed for 16S and cytochrome oxidase 1 (CO1) mitochondrial (mt) DNA markers previously shown to be diagnostic for species of Ostreidae. Ostrea edulis was identified in the sample at an approximate 30% occurrence with O. angasi. Interspecific partial 16S and CO1 mtDNA sequence divergences, estimated using Kimura's two-parameter model, were 0.83% and 1.45%, respectively. The occurrence of O. edulis among native O. angasi populations has not hitherto been suspected and, thus, there has not been a legitimate morphological separation of the two. These results emphasise the value of molecular markers in: (1) discriminating morphologically plastic and closely related species; and, thus (2) the monitoring of species introduced into morphologically similar stocks. We caution against such introductions because of the possibility of the importation of oyster diseases (e.g. bonamiasis) and of this and other adverse impacts upon native species.
Long-Term Tillage and Residue Management Infl uences Soil Carbon and Nitrogen Dynamics Soil

1211 Soil Sci. Soc. Am. J. 74:1211–1217 Published online 2 June 2010 doi:10.2136/sssaj2009.0406 Received 29 Oct. 2009. *Corresponding author (joann.whalen@mcgill.ca). © Soil Science Society of America, 5585 Guilford Rd., Madison WI 53711 USA All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permission for printing and for reprinting the material contained herein has been obtained by the publisher. Long-Term Tillage and Residue Management Infl uences Soil Carbon and Nitrogen Dynamics Soil Biology & Biochemistry
Exploring observational learning in leadership development for managers

Purpose – Observational learning within the leadership development of managers is under-theorized thus far. The purpose of this paper is to develop a theoretical argument that builds out from a relational leadership perspective to center on processes affecting observational learning. Design/methodology/approach – The contribution is to draw together research to build a holistic model of observational learning. A further contribution is to apply this model to the context of leadership development. Findings – The paper examines processes associated with attention, availability, access, attainability, motivation and social comparison with significant others in particular contexts. The paper takes a temporal perspective to examine the ways that such interaction appears to be most prominent at particular times. Research limitations/implications – The paper concludes by outlining the opportunities for applying this understanding of observational leadership learning within management development arenas and explo.