scholarly journals On the Kottwitz-Shelstad normalization of transfer factors for automorphic induction for GLn

2012 ◽  
Vol 208 ◽  
pp. 97-144
Author(s):  
Kaoru Hiraga ◽  
Atsushi Ichino

AbstractAutomorphic induction for GLn is a case of endoscopic transfer, and its character identity was established by Henniart and Herb, up to a constant of proportionality. We determine this constant in terms of the Kottwitz-Shelstad normalization of transfer factors, which involves certain ε-factors.

Author(s):  
Günter P. Wagner

Homology—a similar trait shared by different species and derived from common ancestry, such as a seal's fin and a bird's wing—is one of the most fundamental yet challenging concepts in evolutionary biology. This book provides the first mechanistically based theory of what homology is and how it arises in evolution. The book argues that homology, or character identity, can be explained through the historical continuity of character identity networks—that is, the gene regulatory networks that enable differential gene expression. It shows how character identity is independent of the form and function of the character itself because the same network can activate different effector genes and thus control the development of different shapes, sizes, and qualities of the character. Demonstrating how this theoretical model can provide a foundation for understanding the evolutionary origin of novel characters, the book applies it to the origin and evolution of specific systems, such as cell types; skin, hair, and feathers; limbs and digits; and flowers. The first major synthesis of homology to be published in decades, this book reveals how a mechanistically based theory can serve as a unifying concept for any branch of science concerned with the structure and development of organisms, and how it can help explain major transitions in evolution and broad patterns of biological diversity.


Author(s):  
Agustina Onyebuchi Ijeomah ◽  
Rebecca Ngoholve Vesuwe ◽  
Bitrus Pam

Vegetables growing in mining areas have become a serious food safety concern because of the high levels of heavy metals always associated with mining. In this study, water used for irrigation, soil, cabbage, green pepper and green beans grown in tin mine areas of Heipang District, Barkin-Ladi LGA of Plateau State were analyzed for lead, cadmium and zinc, using Atomic Absorption Spectrophotometer (AAS). The concentrations of the heavy metals in water, soil, vegetables were all in the order Pb, >> Cd > Zn. In the vegetables, the order was: Pb → cabbage > green beans > green pepper; Cd → green beans > cabbage > green pepper; Zn → cabbage > green pepper = green beans. The transfer factors for all the metals (heavy metal in plant / heavy metal in soil) ranged from 0.95 to 1.48. There were high levels of Pb and Cd in all the vegetables, which may be attributed to the metals in the water used for irrigation. Whilst the concentration of Zn in all the samples were lower than recommended limits, the levels of Pb and Cd in the water, soil and vegetables were higher than the WHO/FEPA standard recommended limits reported for vegetables. The Cd concentrations of the vegetables also exceeded the tolerance thresholds for animals and human beings and therefore consumption of vegetable from the area would endanger the health of the population.


2017 ◽  
Vol 19 (1) ◽  
pp. 101-112 ◽  
Author(s):  
Khalil Dirani

The Problem The learning transfer literature is mainly concerned with understanding what transfer of learning is, factors affecting the transfer, and measurements of transfer factors. Researchers have identified variables likely to foster transfer such as supervisor and peer support, role ambiguity, negative change, job stress, intrinsic and extrinsic incentives, relevance of training content, goal-setting posttraining interventions, and self-efficacy, among others. Traditional learning transfer models such as Baldwin and Ford model or the Learning Transfer System Inventory (LTSI) are frequently used to measure factors affecting transfer of training and to help human resource development (HRD) practitioners move beyond the question of whether training works to why training works. Transfer models over the past 20 years have been used to assess transfer systems, including factors at the individual, group, and organization levels, that influence transfer of training to job performance. However, little space has been dedicated to the process of transfer and factors associated to transfer in a military context, and little attention has been given to understanding other factors, not included in traditional transfer models in assisting veterans’ transition from the military to civilian workforce. The Solution This work used self-reported data from military-turned-civilian employees who were interviewed to understand the process of training transfer and to learn about the extent they were able to transfer the skills and knowledge learned in military training to their workplace. The study explored factors likely to influence training transfer from military learning cultures to civilian organizations. Results provided a better understanding on how HRD scholars and practitioners can work with, and prepare, individuals to successfully transition from a military life to the civilian workforce. A variety of individual and organizational themes emerged from the data analysis including factors such as adult learning principles, motivation to transfer, individual and organizational engagement, and roles of veterans, peers, and supervisors. The Stakeholders Human resource and organization developers working with military contexts will find this information particularly useful as well as scholars interested in investigating the transfer of training framework.


2014 ◽  
Vol 1 (3) ◽  
pp. 035025 ◽  
Author(s):  
Jinyuan Zhou ◽  
Gengzhi Sun ◽  
Zhaoyao Zhan ◽  
Lianxi Zheng ◽  
Erqing Xie

2015 ◽  
Vol 36 (12) ◽  
pp. 1409-1416 ◽  
Author(s):  
Sara Y. Tartof ◽  
Gunter K. Rieg ◽  
Rong Wei ◽  
Hung Fu Tseng ◽  
Steven J. Jacobsen ◽  
...  

BACKGROUNDLimitations in sample size, overly inclusive antibiotic classes, lack of adjustment of key risk variables, and inadequate assessment of cases contribute to widely ranging estimates of risk factors for Clostridium difficile infection (CDI).OBJECTIVETo incorporate all key CDI risk factors in addition to 27 antibiotic classes into a single comprehensive model.DESIGNRetrospective cohort study.SETTINGKaiser Permanente Southern California.PATIENTSMembers of Kaiser Permanente Southern California at least 18 years old admitted to any of its 14 hospitals from January 1, 2011, through December 31, 2012.METHODSHospital-acquired CDI cases were identified by polymerase chain reaction assay. Exposure to major outpatient antibiotics (10 classes) and those administered during inpatient stays (27 classes) was assessed. Age, sex, self-identified race/ethnicity, Charlson Comorbidity Score, previous hospitalization, transfer from a skilled nursing facility, number of different antibiotic classes, statin use, and proton pump inhibitor use were also assessed. Poisson regression estimated adjusted risk of CDI.RESULTSA total of 401,234 patients with 2,638 cases of incident CDI (0.7%) were detected. The final model demonstrated highest CDI risk associated with increasing age, exposure to multiple antibiotic classes, and skilled nursing facility transfer. Factors conferring the most reduced CDI risk were inpatient exposure to tetracyclines and first-generation cephalosporins, and outpatient macrolides.CONCLUSIONSAlthough type and aggregate antibiotic exposure are important, the factors that increase the likelihood of environmental spore acquisition should not be underestimated. Operationally, our findings have implications for antibiotic stewardship efforts and can inform empirical and culture-driven treatment approaches.Infect. Control Hosp. Epidemiol. 2015;36(12):1409–1416


2015 ◽  
Vol 26 (3) ◽  
pp. 389-406 ◽  
Author(s):  
Maria Francesca Milazzo ◽  
Francesco Spina

Purpose – The purpose of this paper is to quantify the human health impacts of soy-biodiesel production with the aim to discuss about its environmental sustainability. Design/methodology/approach – The integrated use of two current approaches, risk assessment (RA) and life cycle assessment (LCA), has allowed improvement of the potentialities of both in obtaining a more complete analysis. The implementation of a life cycle indicator for the assessment of the impacts on the human health, integrating the features of both approaches, is the main focus of this paper. Findings – It has been found that, although the biodiesel is a green fuel, it has some criticalities in its life cycle, which cannot be disregarded. In fact, even if biodiesel is essentially a clean fuel there are some phases, prior to the industrial phase, that can cause negative effects on human health and ecosystems. Practical implications – Results suggest some measures which can be adopted to substantially reduce human health impacts. Further alternative could be analysed in future to gain more insight about the use of biodiesel fuels. Originality/value – The estimation of the impacts of a process producing biodiesel has been made by using a novel approach. The novelty is associated with the calculation of the impacts on human health by using the transfer factors applied in RA. The use of such factors, properly modified in order to estimate the impacts on a wider scale than a site-dimension, allows defining a holistic approach, as LCA and RA are used as complete units but at the same time can be related to each other.


2020 ◽  
Author(s):  
Iman Tarik Al-Alawy ◽  
Waleed Jabar Mhana ◽  
Rand Mudher Ebraheem ◽  
Husham Jalal Nasser ◽  
Auras Muse Omran

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