Advancing Research on Women and Leadership: Developing an HRD Scholarly Agenda

Clearly, the topic of developing leaders is of utmost importance in all contexts and it is particularly important for the HRD discipline: over 1,400 journal articles in AHRD journals have the word ‘leadership’ as one of their subject terms.1 Almost monthly the front cover of the Harvard Business Review has ‘leadership’ boldly displayed, either as the main article or as a supporting news brief. Scholarly research abounds, and there are many leadership frameworks, models, and theories contributing to the quantity of research articles. Unfortunately, however, the diversity of ideas and the explosion of interest has generally not focused on an underlying problem in the leadership literature, namely that the majority of the theories and research studies were designed by men and are based on male-normed assumptions (Jogulu & Wood, 2006)

Contribution of copy number variants (CNVs) to congenital, unexplained intellectual and developmental disabilities in Lebanese patients

International audienceBackground: Chromosomal microarray analysis (CMA) is currently the most widely adopted clinical test for patients with unexplained intellectual disability (ID), developmental delay (DD), and congenital anomalies. Its use has revealed the capacity to detect copy number variants (CNVs), as well as regions of homozygosity, that, based on their distribution on chromosomes, indicate uniparental disomy or parental consanguinity that is suggestive of an increased probability of recessive disease. Results: We screened 149 Lebanese probands with ID/DD and 99 healthy controls using the Affymetrix Cyto 2.7 M and SNP6.0 arrays. We report all identified CNVs, which we divided into groups. Pathogenic CNVs were identified in 12.1% of the patients. We review the genotype/phenotype correlation in a patient with a 1q44 microdeletion and refine the minimal critical regions responsible for the 10q26 and 16q monosomy syndromes. Several likely causative CNVs were also detected, including new homozygous microdeletions (9p23p24.1, 10q25.2, and 8p23.1) in 3 patients born to consanguineous parents, involving potential candidate genes. However, the clinical interpretation of several other CNVs remains uncertain, including a microdeletion affecting ATRNL1. This CNV of unknown significance was inherited from the patient's unaffected-mother; therefore, additional ethnically matched controls must be screened to obtain enough evidence for classification of this CNV. Conclusion: This study has provided supporting evidence that whole-genome analysis is a powerful method for uncovering chromosomal imbalances, regardless of consanguinity in the parents of patients and despite the challenge presented by analyzing some CNVs

Second Generation of Antisense Oligonucleotides: From Nuclease Resistance to Biological Efficacy in Animals

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Whole genome functional analysis identifies novel components required for mitotic spindle integrity in human cells

A loss-of-function screen for siRNAs that arrest human cells in metaphase reveals genes involved in mitotic spindle integrity

Launching a Neonatal Resuscitation Escape Room to Combat High Infant Mortality Rates in South India: A Quality Improvement Project

Background: In South India, infant mortality rates are high, and nurses require advanced training to respond to infants in fetal distress. Evidence shows that improved nurse competency in neonatal resuscitation and the ability of students to recognize and respond to distressed infants have led to decreased infant mortality rates. Purpose: The purpose of this quality improvement project was to design and implement a simulated escape room to improve neonatal resuscitation outcomes among undergraduate students in South India. Methods: A quantitative descriptive design was used. N=310 undergraduate nursing students from six schools in India participated in a simulated neonatal resuscitation (NNR) escape room in a simulation lab in South India, following completion of an asynchronous maternal/fetal nursing course. Results: 77.5% of students completed the neonatal resuscitation steps with minimal assistance, and 95.8% of students reported that the escape room experience helped them develop team-based skills and collaborate positively on a clinical team. Findings: This article provides an overview of the quality improvement project in which an NNR escape room was implemented as an innovative learning activity for nursing students in South India

The James Clerk Maxwell telescope Legacy Survey of the Gould Belt: a molecular line study of the Ophiuchus molecular cloud

CO, 13CO, and C18O J = 3-2 observations are presented of the Ophiuchus molecular cloud. The 13CO and C18O emission is dominated by the Oph A clump, and the Oph B1, B2, C, E, F, and J regions. The optically thin(ner) C18O line is used as a column density tracer, from which the gravitational binding energy is estimated to be 4.5 × 1039 J (2282 M⊙ km2 s-2). The turbulent kinetic energy is 6.3 × 1038 J (320 M⊙ km2 s-2), or seven times less than this, and therefore the Oph cloud as a whole is gravitationally bound. 30 protostars were searched for high-velocity gas, with 8 showing outflows, and 20 more having evidence of high-velocity gas along their lines of sight. The total outflow kinetic energy is 1.3 × 1038 J (67 M⊙ km2 s-2), corresponding to 21 per cent of the cloud's turbulent kinetic energy. Although turbulent injection by outflows is significant, but does not appear to be the dominant source of turbulence in the cloud. 105 dense molecular clumplets were identified, which had radii ˜0.01-0.05 pc, virial masses ˜0.1-12 M⊙, luminosities ˜0.001-0.1 K km s-1 pc-2, and excitation temperatures ˜10-50 K. These are consistent with the standard Giant Molecular Cloud (GMC) based size-linewidth relationships, showing that the scaling laws extend down to size scales of hundredths of a parsec, and to subsolar-mass condensations. There is however no compelling evidence that the majority of clumplets are undergoing free-fall collapse, nor that they are pressure confined

Discrimination of outer membrane proteins with improved performance

<p>Abstract</p> <p>Background</p> <p>Outer membrane proteins (OMPs) perform diverse functional roles in Gram-negative bacteria. Identification of outer membrane proteins is an important task.</p> <p>Results</p> <p>This paper presents a method for distinguishing outer membrane proteins (OMPs) from non-OMPs (that is, globular proteins and inner membrane proteins (IMPs)). First, we calculated the average residue compositions of OMPs, globular proteins and IMPs separately using a training set. Then for each protein from the test set, its distances to the three groups were calculated based on residue composition using a weighted Euclidean distance (WED) approach. Proteins from the test set were classified into OMP versus non-OMP classes based on the least distance. The proposed method can distinguish between OMPs and non-OMPs with 91.0% accuracy and 0.639 Matthews correlation coefficient (MCC). We then improved the method by including homologous sequences into the calculation of residue composition and using a feature-selection method to select the single residue and di-peptides that were useful for OMP prediction. The final method achieves an accuracy of 96.8% with 0.859 MCC. In direct comparisons, the proposed method outperforms previously published methods.</p> <p>Conclusion</p> <p>The proposed method can identify OMPs with improved performance. It will be very helpful to the discovery of OMPs in a genome scale.</p

Functional discrimination of membrane proteins using machine learning techniques

<p>Abstract</p> <p>Background</p> <p>Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amino acid residues in membrane proteins that perform major functions, such as channels/pores, electrochemical potential-driven transporters and primary active transporters.</p> <p>Results</p> <p>We observed that the residues Asp, Asn and Tyr are dominant in channels/pores whereas the composition of hydrophobic residues, Phe, Gly, Ile, Leu and Val is high in electrochemical potential-driven transporters. The composition of all the amino acids in primary active transporters lies in between other two classes of proteins. We have utilized different machine learning algorithms, such as, Bayes rule, Logistic function, Neural network, Support vector machine, Decision tree etc. for discriminating these classes of proteins. We observed that most of the algorithms have discriminated them with similar accuracy. The neural network method discriminated the channels/pores, electrochemical potential-driven transporters and active transporters with the 5-fold cross validation accuracy of 64% in a data set of 1718 membrane proteins. The application of amino acid occurrence improved the overall accuracy to 68%. In addition, we have discriminated transporters from other α-helical and β-barrel membrane proteins with the accuracy of 85% using k-nearest neighbor method. The classification of transporters and all other proteins (globular and membrane) showed the accuracy of 82%.</p> <p>Conclusion</p> <p>The performance of discrimination with amino acid occurrence is better than that with amino acid composition. We suggest that this method could be effectively used to discriminate transporters from all other globular and membrane proteins, and classify them into channels/pores, electrochemical and active transporters.</p

Coccidiosis in broiler chickens raised in the Araguaína region, State of Tocantins, Brazil

Eimeriosis is responsible for causing serious problems in poultry, mainly characterized by reduced weight gain and abnormalities of food conversion efficiency, thereby causing great economic losses. The aim of this study was to evaluate the epidemiology of eimeriosis in broiler chickens in the Araguaina region, State of Tocantins, Brazil. Samples from five farm properties were collected and sent to the Hygiene and Public Health Laboratory, School of Veterinary Medicine and Zootechnics, Federal University of Tocantins. From the parasitological analysis, it was shown that all the properties examined were positive for Eimeria species. 63.1% of the sheds were positive, with findings of oocysts of E. maxima, E. acervulina, E. mitis and E. tenella. It was concluded that all properties evaluated were positive for four species of the genus Eimeria, thus demonstrating that the sanitary strategies followed in poultry rearing had flaws that allowed pathogens to spread in poultry pens.A eimeriose é responsável por causar graves problemas avícolas caracterizados, principalmente, por redução do ganho de peso e alteração na conversão alimentar, gerando grandes perdas econômicas. O objetivo deste trabalho foi avaliar a epidemiologia da eimeriose em frangos de corte na região de Araguaína, Estado do Tocantins, Brasil. Amostras de cinco propriedades foram colhidas e encaminhadas ao Laboratório de Higiene e Saúde Pública da Escola de Medicina Veterinária e Zootecnia da Universidade Federal do Tocantins. Após análise parasitológica, comprovou-se que todas as propriedades avaliadas apresentaram positividade para espécies do gênero Eimeria, tendo 63,1% dos galpões positivos, sendo encontrados oocistos de E. maxima, E. acervulina, E. mitis e E. tenella. Conclui-se que todas as propriedades avaliadas, apresentaram positividade para quatro espécies do gênero Eimeria comprovando que as estratégias sanitárias adotadas nas criações apresentam falhas que possibilitam a disseminação do patógeno nos lotes avícolas