bluuebunny/crossref_metadata_2025_split huggingface dataset:
Establishing Duration-Specific Running Intensities From Match-Play Analysis in Rugby League
Authors: Delaney Jace A. , Scott Tannath J. , Thornton Heidi R. , Bennett Kyle J.M. , Gay David , Duthie Grant M. , Dascombe Ben J. 
Published: May 2015

Rugby league coaches often prescribe training to replicate the demands of competition. The intensities of running drills are often monitored in comparison with absolute match-play measures. Such measures may not be sensitive enough to detect fluctuations in intensity across a match or to differentiate between positions.Purpose:To determine the position- and duration-specific running intensities of rugby league competition, using a moving-average method, for the prescription and monitoring of training.Methods:Data from a 15-Hz global positioning system (GPS) were collected from 32 professional rugby league players across a season. The velocity–time curve was analyzed using a rolling-average method, where maximum values were calculated for 10 different durations, 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10 min, for each player across each match.Results:There were large differences between the 1- and 2-min rolling averages and all other rolling-average durations. Smaller differences were observed for rolling averages of greater duration. Fullbacks maintained a greater velocity than outside backs and middle and edge forwards over the 1- and 2-min rolling averages (ES 0.8−1.2, P < .05). For rolling averages 3 min and greater, the running demands of the fullbacks were greater than those of the middle forwards and outside backs (ES 1.1−1.4, P < .05).Conclusions:These findings suggest that the running demands of rugby league fluctuate vastly across a match. Fullbacks were the only position to exhibit a greater running intensity than any other position, and therefore training prescription should reflect this.
The Impact of 3 Different-Length Between-Matches Microcycles on Training Loads in Professional Rugby League Players
Authors: Moreira Alexandre , Kempton Tom , Aoki Marcelo Saldanha , Sirotic Anita C. , Coutts Aaron J. 
Published: May 2015

Purpose:
To examine the impact of varying between-matches microcycles on training characteristics (ie, intensity, duration, and load) in professional rugby league players and to report on match load related to these between-matches microcycles.

Methods:
Training-load data were collected during a 26-wk competition period of an entire season. Training load was measured using the session rating of perceived exertion (session-RPE) method for every training session and match from 44 professional rugby league players from the same National Rugby League team. Using the category-ratio 10 RPE scale, the training intensity was divided into 3 zones (low <4 AU, moderate ≥4-≤7 AU, and high >7 AU). Three different-length between-matches recovery microcycles were used for analysis: 5−6 d, 7−8 d, and 9−10 d.

Results:
A total of 3848 individual sessions were recorded. During the shorter-length between-matches microcycles (5−6 d), significantly lower training load was observed. No significant differences for subsequent match load or intensity were identified between the various match recovery periods. Overall, 16% of the training sessions were completed at the low-intensity zone, 61% at the moderate-intensity zone, and 23% at the high-intensity zone.

Conclusions:
The findings demonstrate that rugby league players undertake higher training load as the length of between-matches microcycles is increased. The majority of in-season training of professional rugby league players was at moderate intensity, and a polarized approach to training that has been reported in elite endurance athletes does not occur in professional rugby league.
Committing the Oldest Sins in the Newest Kind of Ways—Antibodies Targeting the Influenza Virus Type A Hemagglutinin Globular Head
Authors: Krause Jens C. , Crowe, JR. James E. 
Published: May 2015

ABSTRACT

The globular head of the trimeric influenza hemagglutinin (HA) contains the receptor-binding domain (RBD) and is the target of potently neutralizing human monoclonal antibodies (mAbs) with high
in vivo
activity. In general, these mAbs are induced easily by vaccination, but only infrequently display cross-neutralizing activity against antigenic drift variants or even against HA molecules from viruses of heterologous subtypes. Recently, the atomic resolution structures of several such antibodies in complex with HA have been determined by X-ray crystallography. Not surprisingly, cross-reactive globular head antibodies target, at least partially, the conserved RBD. The cross-reactive potential of such mAbs is limited by contacts of hypervariable HA residues outside the conserved RBD. The RBD of H2 HA seems especially immunogenic. Increasing the immunogenicity of the RBD of other HA subtypes may be a step toward a universal influenza vaccine. The germ line-encoded Phe54 residue of the CDR-H2 of the V
H
1-69 germ line sequence appears to be ideally suited not only to reach into a conserved, hydrophobic pocket on the HA stem, but also to reach into the conserved, hydrophobic pocket that is the RBD. We have cloned antibodies from different individuals that are encoded by the V
H
1-69 germ line gene segment that contact the universally conserved Trp153 on the bottom of the RBD. These antibodies serve as further evidence of antibody genetic sequence convergence across individuals.
Antibodies: Computer-Aided Prediction of Structure and Design of Function
Authors: Sevy Alexander M. , Meiler Jens 
Published: May 2015

ABSTRACT
With the advent of high-throughput sequencing, and the increased availability of experimental structures of antibodies and antibody-antigen complexes, comes the improvement of computational approaches to predict the structure and design the function of antibodies and antibody-antigen complexes. While antibodies pose formidable challenges for protein structure prediction and design due to their large size and highly flexible loops in the complementarity-determining regions, they also offer exciting opportunities: the central importance of antibodies for human health results in a wealth of structural and sequence information that—as a knowledge base—can drive the modeling algorithms by limiting the conformational and sequence search space to likely regions of success. Further, efficient experimental platforms exist to test predicted antibody structure or designed antibody function, thereby leading to an iterative feedback loop between computation and experiment. We briefly review the history of computer-aided prediction of structure and design of function in the antibody field before we focus on recent methodological developments and the most exciting application examples.
Biofilm Development
Authors: Tolker-Nielsen Tim 
Published: May 2015

ABSTRACT
During the past decade we have gained much knowledge about the molecular mechanisms that are involved in initiation and termination of biofilm formation. In many bacteria, these processes appear to occur in response to specific environmental cues and result in, respectively, induction or termination of biofilm matrix production via the second messenger molecule c-di-GMP. In between initiation and termination of biofilm formation we have defined specific biofilm stages, but the currently available evidence suggests that these transitions are mainly governed by adaptive responses, and not by specific genetic programs. It appears that biofilm formation can occur through multiple pathways and that the spatial structure of the biofilms is species dependent as well as dependent on environmental conditions. Bacterial subpopulations, e.g., motile and nonmotile subpopulations, can develop and interact during biofilm formation, and these interactions can affect the structure of the biofilm. The available evidence suggests that biofilm formation is programmed in the sense that regulated synthesis of extracellular matrix components is involved. Furthermore, our current knowledge suggests that biofilm formation mainly is governed by adaptive responses of individual bacteria, although group-level activities are also involved.
Mammalian Endogenous Retroviruses
Authors: Mager Dixie L. , Stoye Jonathan P. 
Published: May 2015

ABSTRACT
Over 40% of mammalian genomes comprise the products of reverse transcription. Among such retrotransposed sequences are those characterized by the presence of long terminal repeats (LTRs), including the endogenous retroviruses (ERVs), which are inherited genetic elements closely resembling the proviruses formed following exogenous retrovirus infection. Sequences derived from ERVs make up at least 8 to 10% of the human and mouse genomes and range from ancient sequences that predate mammalian divergence to elements that are currently still active. In this chapter we describe the discovery, classification and origins of ERVs in mammals and consider cellular mechanisms that have evolved to control their expression. We also discuss the negative effects of ERVs as agents of genetic disease and cancer and review examples of ERV protein domestication to serve host functions, as in placental development. Finally, we address growing evidence that the gene regulatory potential of ERV LTRs has been exploited multiple times during evolution to regulate genes and gene networks. Thus, although recently endogenized retroviral elements are often pathogenic, those that survive the forces of negative selection become neutral components of the host genome or can be harnessed to serve beneficial roles.
The Integration and Excision of CTnDOT
Authors: Wood Margaret M. , Gardner Jeffrey F. 
Published: May 2015

ABSTRACT

Bacteroides
species are one of the most prevalent groups of bacteria present in the human colon. Many strains carry large, integrated elements including integrative and conjugative elements (ICEs). One such ICE is CTnDOT, which is 65 kb in size and encodes resistances to tetracycline and erythromycin. CTnDOT has been increasing in prevalence in
Bacteroides
spp., and is now found in greater than 80% of natural isolates. In recent years, CTnDOT has been implicated in the spread of antibiotic resistance among gut microbiota. Interestingly, the excision and transfer of CTnDOT is stimulated in the presence of tetracycline. The tyrosine recombinase IntDOT catalyzes the integration and excision reactions of CTnDOT. Unlike the well-characterized lambda Int, IntDOT tolerates heterology in the overlap region between the sites of cleavage and strand exchange. IntDOT also appears to have a different arrangement of active site catalytic residues. It is missing one of the arginine residues that is conserved in other tyrosine recombinases. The excision reaction of CTnDOT is complex, involving excision proteins Xis2c, Xis2d, and Exc, as well as IntDOT and a
Bacteroides
host factor. Xis2c and Xis2d are small, basic proteins like other recombination directionality factors (RDFs). Exc is a topoisomerase; however, the topoisomerase function is not required for the excision reaction. Exc has been shown to stimulate excision frequencies when there are mismatches in the overlap regions, suggesting that it may play a role in resolving Holliday junctions (HJs) containing heterology. Work is currently under way to elucidate the complex interactions involved with the formation of the CTnDOT excisive intasomes.
Reverse Transcription of Retroviruses and LTR Retrotransposons
Authors: Hughes Stephen H. 
Published: May 2015

ABSTRACT
The enzyme reverse transcriptase (RT) was discovered in retroviruses almost 50 years ago. The demonstration that other types of viruses, and what are now called retrotransposons, also replicated using an enzyme that could copy RNA into DNA came a few years later. The intensity of the research in both the process of reverse transcription and the enzyme RT was greatly stimulated by the recognition, in the mid-1980s, that human immunodeficiency virus (HIV) was a retrovirus and by the fact that the first successful anti-HIV drug, azidothymidine (AZT), is a substrate for RT. Although AZT monotherapy is a thing of the past, the most commonly prescribed, and most successful, combination therapies still involve one or both of the two major classes of anti-RT drugs. Although the basic mechanics of reverse transcription were worked out many years ago, and the first high-resolution structures of HIV RT are now more than 20 years old, we still have much to learn, particularly about the roles played by the host and viral factors that make the process of reverse transcription much more efficient in the cell than in the test tube. Moreover, we are only now beginning to understand how various host factors that are part of the innate immunity system interact with the process of reverse transcription to protect the host-cell genome, the host cell, and the whole host, from retroviral infection, and from unwanted retrotransposition.
Animal Models for the Pathogenesis, Treatment, and Prevention of Infection byBacillus anthracis
Authors: Welkos Susan , Bozue Joel , Twenhafel Nancy , Cote Christopher 
Published: May 2015

ABSTRACTThis article reviews the characteristics of the major animal models utilized for studies onBacillus anthracisand highlights their contributions to understanding the pathogenesis and host responses to anthrax and its treatment and prevention. Advantages and drawbacks associated with each model, to include the major models (murine, guinea pig, rabbit, nonhuman primate, and rat), and other less frequently utilized models, are discussed. Although the three principal forms of anthrax are addressed, the main focus of this review is on models for inhalational anthrax. The selection of an animal model for study is often not straightforward and is dependent on the specific aims of the research or test. No single animal species provides complete equivalence to humans; however, each species, when used appropriately, can contribute to a more complete understanding of anthrax and its etiologic agent.
Acute myocardial infarction or acute myocarditis? Discharge registry-based study of likelihood and associated features in hospitalised patients
Authors: Kytö Ville , Sipilä Jussi , Rautava Päivi 
Published: May 2015

ObjectiveTo evaluate the likelihood of and patient features associated with acute myocardial infarction (AMI) versus acute myocarditis in different population segments.DesignNationwide, multihospital observational retrospective registry study of 9.6 years in Finland.ParticipantsAll consecutive patients aged ≥18 years hospitalised with a primary diagnosis of AMI (n=89 399) or acute myocarditis (n=2131) in 22 hospitals with a coronary catheterisation laboratory.Primary outcome measuresLikelihood of AMI versus acute myocarditis and associated patient features.ResultsMen were over-represented in patients with AMI (59.8%) and in patients with acute myocarditis (76.1%). Age distributions of AMI and acute myocarditis were opposite as a majority of patients with myocarditis were aged 18–29 years, while the number of patients with AMI increased gradually up to 80 years of age. Patients aged 18–29 years were more likely to have acute myocarditis as the cause of hospitalisation (relative risk (RR)=11.4; 95% CI 7.6 to 16.1 for myocarditis, p<0.0001), but after 30 years of age the likelihood of infarction was higher with exponentially increasing RR for AMI. In youngest patients (18–29 years), the likelihood of AMI was higher in women, but men had higher odds for AMI after 40 years of age. Overall, men had OR of 1.97 (95% CI 1.74 to 2.23, p<0.0001) for AMI versus myocarditis when compared with women. Hypercholesterolaemia, chronic coronary artery disease, diabetes and hypertension predicted AMI in multivariate analysis. Odds for myocarditis were significantly higher if the patient had an otolaryngeal infection (OR 18.13; 95% CI 8.96 to 36.67, p<0.0001).ConclusionsAcute myocarditis is more common than AMI in hospitalised patients aged 18–29 years, but the risk of AMI increases exponentially thereafter. Hypercholesterolaemia, diabetes and hypertension predict AMI regardless of age and gender.
A Small-Footprint Accelerator for Large-Scale Neural Networks
Authors: Chen Tianshi , Zhang Shijin , Liu Shaoli , Du Zidong , Luo Tao , Gao Yuan , Liu Junjie , Wang Dongsheng , Wu Chengyong , Sun Ninghui , Chen Yunji , Temam Olivier 
Published: May 2015

Machine-learning tasks are becoming pervasive in a broad range of domains, and in a broad range of systems (from embedded systems to data centers). At the same time, a small set of machine-learning algorithms (especially Convolutional and Deep Neural Networks, i.e., CNNs and DNNs) are proving to be state-of-the-art across many applications. As architectures evolve toward heterogeneous multicores composed of a mix of cores and accelerators, a machine-learning accelerator can achieve the rare combination of efficiency (due to the small number of target algorithms) and broad application scope.
Until now, most machine-learning accelerator designs have been focusing on efficiently implementing the computational part of the algorithms. However, recent state-of-the-art CNNs and DNNs are characterized by their large size. In this study, we design an accelerator for large-scale CNNs and DNNs, with a special emphasis on the impact of memory on accelerator design, performance, and energy.
We show that it is possible to design an accelerator with a high throughput, capable of performing 452 GOP/s (key NN operations such as synaptic weight multiplications and neurons outputs additions) in a small footprint of 3.02mm<sup>2</sup> and 485mW; compared to a 128-bit 2GHz SIMD processor, the accelerator is 117.87 × faster, and it can reduce the total energy by 21.08 ×. The accelerator characteristics are obtained after layout at 65nm. Such a high throughput in a small footprint can open up the usage of state-of-the-art machine-learning algorithms in a broad set of systems and for a broad set of applications.
DASlab
Authors: Idreos Stratos 
Published: May 2015

DASlab is a new laboratory at the Harvard School of Engineering and Applied Sciences (SEAS). The lab was formed in January 2014 when Stratos Idreos joined Harvard SEAS. DASlab curently consists of 3 PhD students, 1 postdoctoral researcher and 9 undergraduate researchers while it is set to double its graduate student population in the next one to two years. The lab is part of a growing community of systems and computer science researchers at Harvard; computer science faculty is scheduled to grow by 50% in the next few year.
The main focus of DASlab is on designing data systems that (a) make it easy to extract knowledge out of increasingly diverse and growing data sets and (b) can stand the test of time.
Religion: Respect for One An Other
Authors: Praetorius Ina 
Published: May 2015

A middle-aged Swiss friend tells me that, for her, God is ‘a contaminated word, … loaded with the spirit of many hundreds of years and miles of library shelves, a word that has nothing to do with the holistic worldview she embraces today.’1 So, she says, she has simply ‘removed the word from her vocabulary’: It’s out, it’s past, it has become a word that is used by other people only. The mindset that is expressed in these words is typical for the situation in contemporary Western Europe. Many feel alienated from the notions and lifestyles and have left the institutions – churches, synagogues, mosques – that traditionally represent what we call ‘religion’. Besides, there are, in this part of the world, so many alternatives that allow one to form a meaning of life and provide security, togetherness and entertainment: family brunches on Sunday morning, TV movies, festivals, excursions, concerts, meditation workshops, neopaganist or atheist meetings, political engagements, lonely walks in the woods…
Educating for ethical leadership through web-based coaching
Authors: Eide Tom , Dulmen Sandra van , Eide Hilde 
Published: May 2015

Background: Ethical leadership is important for developing ethical healthcare practice. However, there is little research-based knowledge on how to stimulate and educate for ethical leadership. Objectives: The aim was to develop and investigate the feasibility of a 6-week web-based, ethical leadership educational programme and learn from participants’ experience. Training programme and research design: A training programme was developed consisting of (1) a practice part, where the participating middle managers developed and ran an ethics project in their own departments aiming at enhancing the ethical mindfulness of the organizational culture, and (2) a web-based reflection part, including online reflections and coaching while executing the ethics project. Focus group interviews were used to explore the participants’ experiences with and the feasibility of the training. Participants and research context: Nine middle managers were recruited from a part-time master’s programme in leadership in Oslo, Norway. The research context was the participating leaders’ work situation during the 6 weeks of training. Ethical considerations: Participation was voluntary, data anonymized and the confidentiality of the participating leaders/students and their institutions maintained. No patient or medical information was involved. Findings: Eight of the nine recruited leaders completed the programme. They evaluated the training programme as efficient and supportive, with the written, situational feedback/coaching as the most important element, enhancing reflection and motivation, counteracting a feeling of loneliness and promoting the execution of change. Discussion: The findings seem consistent with the basic assumptions behind the educational design, based partly on e-health research, feedback studies and organizational ethics methodology, partly on theories on workplace learning, reflection, recognition and motivation. Conclusion: The training programme seems feasible. It should be adjusted according to participants’ proposals and tested further in a large-scale study.
Substance use disorders in New Zealand adults with severe mental illness: descriptive study of an acute inpatient population
Authors: Dharmawardene Vajira , Menkes David B 
Published: May 2015

Objective: To elucidate patterns of substance misuse, across diagnoses and demographic variables, in patients with severe mental illness. Method: We studied 141 adults admitted to an acute psychiatric unit in Hamilton, New Zealand. Semi-structured interviews, including the Alcohol Use Disorders Identification Test (AUDIT) and Cannabis Use Disorders Identification Test – Revised (CUDIT-R), were used to assess substance use. Results: Seventy-six participants were of European origin (56%), 59 were Maori (42%). Tobacco smoking was noted in 81% overall, with a higher frequency (93%) among Maori. A majority of patients had alcohol use disorder, with greater prevalence in bipolar and schizoaffective disorder compared to schizophrenia. By contrast, cannabis use disorder was strikingly associated with schizophrenia. Younger patients and Maori were disproportionately affected by both alcohol and cannabis use. Conclusions: Substance misuse in New Zealand patients with severe mental illness is common, particularly among younger patients and Maori, and differentially distributed across diagnoses.