bluuebunny/crossref_metadata_2025_split huggingface dataset:
Divisibility patterns of natural numbers on a complex network
Authors: Shekatkar Snehal M. , Bhagwat Chandrasheel , Ambika G. 
Published: September 2015

AbstractInvestigation of divisibility properties of natural numbers is one of the most important themes in the theory of numbers. Various tools have been developed over the centuries to discover and study the various patterns in the sequence of natural numbers in the context of divisibility. In the present paper, we study the divisibility of natural numbers using the framework of a growing complex network. In particular, using tools from the field of statistical inference, we show that the network is scale-free but has a non-stationary degree distribution. Along with this, we report a new kind of similarity pattern for the local clustering, which we call “stretching similarity”, in this network. We also show that the various characteristics like average degree, global clustering coefficient and assortativity coefficient of the network vary smoothly with the size of the network. Using analytical arguments we estimate the asymptotic behavior of global clustering and average degree which is validated using numerical analysis.
Adaptation pathways of global wheat production: Importance of strategic adaptation to climate change
Authors: Tanaka Akemi , Takahashi Kiyoshi , Masutomi Yuji , Hanasaki Naota , Hijioka Yasuaki , Shiogama Hideo , Yamanaka Yasuhiro 
Published: September 2015

AbstractAgricultural adaptation is necessary to reduce the negative impacts of climate change on crop yields and to maintain food production. However, few studies have assessed the course of adaptation along with the progress of climate change in each of the current major food producing countries. Adaptation pathways, which describe the temporal sequences of adaptations, are helpful for illustrating the timing and intensity of the adaptation required. Here we present adaptation pathways in the current major wheat-producing countries, based on sequential introduction of the minimum adaptation measures necessary to maintain current wheat yields through the 21st century. We considered two adaptation options: (i) expanding irrigation infrastructure; and (ii) switching crop varieties and developing new heat-tolerant varieties. We find that the adaptation pathways differ markedly among the countries. The adaptation pathways are sensitive to both the climate model uncertainty and natural variability of the climate system and the degree of sensitivity differs among countries. Finally, the negative impacts of climate change could be moderated by implementing adaptations steadily according to forecasts of the necessary future adaptations, as compared to missing the appropriate timing to implement adaptations.
Crystal structure reveals specific recognition of a G-quadruplex RNA by a β-turn in the RGG motif of FMRP
Authors: Vasilyev Nikita , Polonskaia Anna , Darnell Jennifer C. , Darnell Robert B. , Patel Dinshaw J. , Serganov Alexander 
Published: September 2015

Significance
The arginine-glycine-rich (RGG) box is an abundant RNA-binding motif present in many proteins. The RGG motif of the Fragile Mental Retardation Protein (FMRP) specifically binds guanine-quadruplex-containing RNA. Using X-ray crystallography, we uncovered molecular principles that account for specificity and affinity of the interactions between the RGG motif and guanine-quadruplex-containing RNA. The structure-based biochemical assays revealed that specific recognition of the RNA extends to the duplex region, thus identifying a broad network of important RNA–protein interactions and suggesting a common RNA binding principle for other RGG motif-containing proteins.
Using habitat association models to predict Alewife and Blueback Herring marine distributions and overlap with Atlantic Herring and Atlantic Mackerel: can incidental catches be reduced?
Authors: Turner Sara M. , Manderson John P. , Richardson David E. , Hoey John J. , Hare Jonathan A. 
Published: September 2015

Abstract
Concern over the impacts of incidental catches of Alewife, Alosa pseudoharengus and Blueback Herring, A. aestivalis (collectively managed as ‘river herring’) in the commercial Atlantic Herring (Clupea harengus) and Atlantic Mackerel (Scomber scombrus) fisheries has resulted in the recent implementation of river herring incidental catch limits. These incidental catches are highly variable in frequency and magnitude, and the environmental conditions associated with these catches are poorly understood. We used generalized additive models (GAMs) to describe habitat associations of Alewife, Blueback Herring, Atlantic Herring, and Atlantic Mackerel. Bottom temperature, bottom depth, bottom salinity, solar azimuth and elevation, and region of the Northeast U.S. continental shelf were all significant in the habitat models; GAMs explained 25.2, 16.9, 18.9, and 20.6% of the deviance observed for the presence/absence of Alewife, Blueback Herring, Atlantic Herring, and Atlantic Mackerel. A subset of the data was omitted from the model and the probability of presence was compared with observations; 66–77% of observations were correctly predicted. The individual probabilities of presence were used to quantify and evaluate the accuracy of modelled overlap of Alewife and Blueback Herring with Atlantic Herring (68–72% correct predictions) and Alewife and Blueback Herring with Atlantic Mackerel (57–69% correct predictions). Our findings indicate that environmental gradients influence the distributions and overlap of Alewife, Blueback Herring, Atlantic Herring, and Atlantic Mackerel, and with further testing and refinement these models could be developed into a tool to aid industry in reducing incidental catches of river herring.
Real-time prediction of mortality, readmission, and length of stay using electronic health record data
Authors: Cai Xiongcai , Perez-Concha Oscar , Coiera Enrico , Martin-Sanchez Fernando , Day Richard , Roffe David , Gallego Blanca 
Published: September 2015

Objective To develop a predictive model for real-time predictions of length of stay, mortality, and readmission for hospitalized patients using electronic health records (EHRs).
Materials and Methods A Bayesian Network model was built to estimate the probability of a hospitalized patient being “at home,” in the hospital, or dead for each of the next 7 days. The network utilizes patient-specific administrative and laboratory data and is updated each time a new pathology test result becomes available. Electronic health records from 32 634 patients admitted to a Sydney metropolitan hospital via the emergency department from July 2008 through December 2011 were used. The model was tested on 2011 data and trained on the data of earlier years.
Results The model achieved an average daily accuracy of 80% and area under the receiving operating characteristic curve (AUROC) of 0.82. The model’s predictive ability was highest within 24 hours from prediction (AUROC = 0.83) and decreased slightly with time. Death was the most predictable outcome with a daily average accuracy of 93% and AUROC of 0.84.
Discussion We developed the first non–disease-specific model that simultaneously predicts remaining days of hospitalization, death, and readmission as part of the same outcome. By providing a future daily probability for each outcome class, we enable the visualization of future patient trajectories. Among these, it is possible to identify trajectories indicating expected discharge, expected continuing hospitalization, expected death, and possible readmission.
Conclusions Bayesian Networks can model EHRs to provide real-time forecasts for patient outcomes, which provide richer information than traditional independent point predictions of length of stay, death, or readmission, and can thus better support decision making.
Copeptin improves the sensitivity of cardiac troponin in patients 70 years or older, but not enough to rule out myocardial infarction at emergency department presentation
Authors: Chenevier-Gobeaux Camille , Charpentier Sandrine , Meune Christophe , Claessens Yann-Erick , Lavieuville Megan , Ray Patrick 
Published: September 2015

Objectives
We aimed to evaluate the diagnostic performance of the combination of cardiac troponin (cTn) and copeptin in a population older than 70 years of age to rule out non-ST-elevation myocardial infarction (NSTEMI) at emergency department (ED) presentation.

Methods
Among 885 analyzed patients with acute chest pain presenting to the ED, 218 (25%) were aged at least 70 years.

Results
Patients with elevated copeptin values at presentation were more often aged at least 70 years and had higher blood pressure. Patients at least 70 years without NSTEMI more frequently had elevated copeptin values than younger counterparts (42 vs. 25%, P<0.0001). Bootstrap analysis for the diagnosis of NSTEMI indicated an optimal copeptin threshold value at 8.1 pmol/l in patients less than 70 years and at 10.7 pmol/l in patients at least 70 years. In patients at least 70 years, the combination of copeptin with cTnI significantly improved the sensitivity for the diagnosis of NSTEMI, at all copeptin thresholds tested, but the negative predictive value remained below 95%.

Conclusion
The combination of copeptin with conventional cTnI significantly improved sensitivity for the diagnosis of NSTEMI in patients at least 70 years. However, this improvement was not enough to rule out NSTEMI with a single draw strategy at ED presentation.
The neurotranscriptome of theAedes aegyptimosquito
Authors: Matthews Benjamin J. , McBride Carolyn S. , DeGennaro Matthew , Despo Orion , Vosshall Leslie B. 
Published: September 2015

AbstractBackgroundA complete genome sequence and the advent of genome editing open up non-traditional model organisms to mechanistic genetic studies. The mosquitoAedes aegyptiis an important vector of infectious diseases such as dengue, chikungunya, and yellow fever, and has a large and complex genome, which has slowed annotation efforts. We used comprehensive transcriptomic analysis of adult gene expression to improve the genome annotation and to provide a detailed tissue-specific catalogue of neural gene expression at different adult behavioral states.ResultsWe carried out deep RNA sequencing across all major peripheral male and female sensory tissues, the brain, and (female) ovary. Furthermore, we examined gene expression across three important phases of the female reproductive cycle, a remarkable example of behavioral switching in which a female mosquito alternates between obtaining blood-meals from humans and laying eggs. Using genome-guided alignments andde novotranscriptome assembly, our re-annotation includes 572 new putative protein-coding genes and updates to 13.5% and 50.3% of existing transcripts within coding sequences and untranslated regions, respectively. Using this updated annotation, we detail gene expression in each tissue, identifying large numbers of transcripts regulated by blood-feeding and sexually dimorphic transcripts that may provide clues to the biology of male- and female-specific behaviors, such as mating and blood-feeding, which are areas of intensive study for those interested in vector control.ConclusionsThis neurotranscriptome forms a strong foundation for the study of genes in the mosquito nervous system and investigation of sensory-driven behaviors and their regulation. Furthermore, understanding the molecular genetic basis of mosquito chemosensory behavior has important implications for vector control.
Red Light-Mediated Degradation of CONSTANS by the E3 Ubiquitin Ligase HOS1 Regulates Photoperiodic Flowering in Arabidopsis
Authors: Lazaro Ana , Mouriz Alfonso , Piñeiro Manuel , Jarillo José A. 
Published: September 2015

Abstract
The regulation of CONSTANS (CO) gene expression is crucial to accurately measure changes in daylength, which influences flowering time in Arabidopsis thaliana. CO expression is under both transcriptional and posttranslational control mechanisms. We previously showed that the E3 ubiquitin ligase HIGH EXPRESSION OF OSMOTICALLY RESPONSIVE GENES1 (HOS1) physically interacts with CO in Arabidopsis. This interaction is required to precisely modulate the timing of CO accumulation and, consequently, to maintain low levels of FLOWERING LOCUS T expression during the first part of the day. The data presented here demonstrate that HOS1 is involved in the red light-mediated degradation of CO that takes place in the early stages of the daylight period. Our results show that phytochrome B (phyB) is able to regulate flowering time, acting in the phloem companion cells, as previously described for CO and HOS1. Moreover, we reveal that phyB physically interacts with HOS1 and CO, indicating that the three proteins may be present in a complex in planta that is required to coordinate a correct photoperiodic response in Arabidopsis.
Knowledge-sharing determinants, behaviors, and innovative work behaviors
Authors: Akhavan Peyman , Hosseini S. Mahdi , Abbasi Morteza , Manteghi Manuchehr 
Published: September 2015

Purpose– The purpose of this paper is to examine the influence of socio-psychological factors from different theoretical perspectives, as well as the roles of technological and cultural facilitators on knowledge sharing (KS) behaviors and whether it leads to superior employees’ innovative work behaviors.Design/methodology/approach– Partial least squares analysis was used to investigate the research model based on a survey of 257 employees from 22 high-tech companies (including companies in pharmaceutical, nano technological, biotechnological, aviation, and aerospace industries) in Iran.Findings– The results supported the effects of three motivational factors, i.e. perceived loss of knowledge power, perceived reputation enhancement, and perceived enjoyment in helping others, and two social capital factors, i.e. social interaction ties and trust, on employees’ attitude toward KS. Findings also indicated that employees’ KS behaviors enhance their innovative work behaviors.Research limitations/implications– Since the survey used cross-sectional data and samples here were limited to some Iranian companies, the results of this study may prove not to be generalizable and should be confirmed using larger samples and/or longitudinal studies.Practical implications– The findings provide useful insights into how managers should encourage employees’ KS attitudes, intentions, and behaviors to foster innovative work behaviors of employees.Originality/value– This study is one of the first attempts to fill the void in integrative research for examining relationships among KS determinants, behaviors, and outcomes.
Computer science in Eastern Europe 1989-2014: a bibliometric study
Authors: Fiala Dalibor , Willett Peter 
Published: September 2015

Purpose
– The purpose of this paper is to study the development of research in computer science in 15 Eastern European countries following the breaching of the Berlin Wall in 1989.

Design/methodology/approach
– The authors conducted a bibliometric analysis of 82,121 computer science publications indexed in the Web of Science database and investigated publication, citation, and collaboration patterns of the individual countries.

Findings
– Poland has been the most productive country, followed by Russia, the Czech Republic, Romania, Hungary, and Slovenia. Publication rates have increased substantially over the period, but this has not been accompanied by a corresponding increase in the quality of the publications. Hungary and Slovenia are the most influential countries in terms of citations per paper. Artificial Intelligence is the most frequently occurring computer science subject category, with Interdisciplinary Applications the category with the greatest impact. USA, Germany, UK, France, and Canada are the most frequently collaborating western nations, and papers published in collaboration with US authors accrue the most citations.

Originality/value
– This is the first ever bibliometric study of the whole post-communist Eastern European computer science research as indexed in the Web of Science.
Exploring barriers of enterprise search implementation: a qualitative user study
Authors: Stocker Alexander , Richter Alexander , Kaiser Christian , Softic Selver 
Published: September 2015

Purpose– Despite a growing demand for enterprise search from practice, little is known about its implementation from an academic perspective. As the few available practice-oriented investigations show, enterprise search user satisfaction is rather low. The purpose of this paper is therefore to explore user-centric barriers of enterprise search implementation in order to increase user satisfaction.Design/methodology/approach– Results are built on a qualitative user study in an R & D organization. Findings are gained from think-aloud observations introduced by semi-structured interviews in which ten knowledge workers explore a newly implemented enterprise search tool.Findings– Findings illustrate barriers that knowledge workers have to overcome when adopting enterprise search to find project-relevant documents. Implementation barriers relate to selection for keywords, search query formulation, availability and adequacy of metadata, relevance judging of search results, current search strategies, and overall perception of enterprise search usefulness.Research limitations/implications– Limitations address the piloted enterprise search software, along with its specific configuration and scope, the chosen research approach of generating qualitative findings from a single case, and the size of the involved sample of engineers. Implications address measures to increase enterprise search adoption.Practical implications– This study provides project managers with knowledge to take appropriate actions in the early phases of enterprise search implementation, and even prior to that, to raise the success of enterprise search projects. It contributes to a better understanding of enterprise search engine user needs and assists in concretizing user requirements.Originality/value– While existing studies primarily focus on advancing the technical perspective of search in organizations, the author elaborate on the under-investigated social and organizational aspects. The author furthermore stress the importance of user-centered approaches for enterprise search adoption.
Why do people play human computation games? Effects of perceived enjoyment and perceived output quality
Authors: Pe-Than Ei Pa Pa , Goh Dion Hoe-Lian , Lee Chei Sian 
Published: September 2015

Purpose– The purpose of this paper is to investigate the effects of individuals’ perceived enjoyment and output quality on their intention to play human computation games (HCGs) for location-based content sharing.Design/methodology/approach– This study employed a cross-sectional survey method, and recruited 205 undergraduate and graduate students from a local university. Participants played the developed mobile HCG for content sharing named Seek, PLAy, SHare (SPLASH), and thereafter completed a questionnaire that measured their perceptions of enjoyment, output quality, and intention to play.Findings– Results indicated that individuals derived enjoyment from the affective and cognitive dimensions, which further influenced their intention to play HCGs. Moreover, perceived output relevancy was significant in predicting individuals’ intention to play HCGs such as SPLASH.Practical implications– The design of HCG is complicated due to their entertainment-output generation duality. Understanding what factors contribute to HCG usage is therefore, an essential area of study. Based on the study’s findings, designers should pay attention to HCG features that engender affective and cognitive experiences, and appropriately signify the relevancy aspect of HCG outputs.Originality/value– Although similar in many ways, HCGs differ from entertainment-oriented games by generating output as byproducts of gameplay. Hence, results obtained from prior research in games may not be readily applicable to the HCG context, and further investigations are necessary. Moreover, the multidimensional aspect of HCG enjoyment and output quality, and how these dimensions influence usage intention has yet to be examined. The outcomes of this study can be exploited to drive further research in the field of HCGs, and similar games that are not just for pure entertainment.
Exploring social interactions and sense of community in multi-owned properties
Authors: Reid Sacha 
Published: September 2015

Purpose
– This exploratory research paper aims to examine the social interactions within multi-owned properties (MOPs) in suburban Brisbane, Australia, and the influences these have on “sense of community” (SOC).

Design/methodology/approach
– A constructivist grounded theory research approach is adopted, utilising qualitative research methods of 17 in-depth interviews across four suburbs.

Findings
– Respondents of this research do know others within their MOP, although these are surface-level social interactions rather than deep social ties. Social interactions are influenced by concerns for privacy, resident homogeneity, tenure type and the safety and security of the built environment. A disconnect exists between marketing and reality when respondents discuss an SOC. Development of an SOC is also constrained by the strata and community title legislation that enables MOPs
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existence. Self-governance measures exclude the majority of MOP residents from engaging in community participation, through bodies
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corporate and decision-making practices.

Research limitations/implications
– The research design limited external validity to other groups and settings. It was also challenging accessing residents and MOP owners for inclusion in this research.

Originality/value
– The research is significant in addressing the knowledge gap of social relations within MOPs. MOPs will be a key driver for the development industry in coming decades, so it is important to understand the lived experience of residents to ensure a liveable and sustainable residential product for the future.