bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using Drosophila behavioral assays to characterize terebrid venom-peptide bioactivity
Authors: Eriksson Anders , Anand Prachi , Gorson Juliette , Grijuc Corina , Hadelia Elina , Stewart James C , Holford Mandё , Claridge-Chang Adam 
Published: August 2018

AbstractThe number of newly discovered peptides from the transcriptomes and proteomes of animal venom arsenals is rapidly increasing, resulting in an abundance of uncharacterized peptides. There is a pressing need for a systematic, cost effective, and scalable approach to identify physiological effects of venom peptides. To address this discovery-to-function gap, we developed a sequence driven:activity-based hybrid approach for screening venom peptides that is amenable to large-venom peptide libraries with minimal amounts of peptide. Using this approach, we characterized the physiological and behavioral phenotypes of two peptides from the venom of predatory terebrid marine snails, teretoxins Tv1 from Terebra variegata and Tsu1.1 from Terebra subulata. Our results indicate that Tv1 and Tsu1.1 have distinct bioactivity. Tv1 (100 μM) had an antinociceptive effect in adult Drosophila using a thermal nociception assay to measure heat avoidance. Alternatively, Tsu1.1 (100 μM) increased food intake. These findings describe the first functional bioactivity of terebrid venom peptides in relation to pain and diet and indicate that Tv1 and Tsu1.1 may, respectively, act as antinociceptive and orexigenic agents. Tv1 and Tsu1.1 are distinct from previously identified venom peptides, expanding the toolkit of peptides that can potentially be used to investigate the physiological mechanisms of pain and diet.
Extracellular electron transfer may be an overlooked contribution to pelagic respiration in humic-rich freshwater lakes
Authors: He Shaomei , Lau Maximilian P. , Linz Alexandra M. , Roden Eric E. , McMahon Katherine D. 
Published: August 2018

ABSTRACTHumic lakes and ponds receive large amounts of terrestrial carbon and are important components of the global carbon cycle, yet how their redox cycling influences the carbon budget is not fully understood. Here we compared metagenomes obtained from a humic bog and a clearwater eutrophic lake, and found a much larger number of genes that might be involved in extracellular electron transfer (EET) for iron redox reactions and humic substance (HS) reduction in the bog than in the clearwater lake, consistent with the much higher iron and HS levels in the bog. These genes were particularly rich in the bog’s anoxic hypolimnion, and were found in diverse bacterial lineages, some of which are relatives of known iron oxidizers or iron/HS reducers. We hypothesize that HS may be a previously overlooked electron acceptor and EET-enabled redox cycling may be important in pelagic respiration and greenhouse gas budget in humic-rich freshwater lakes.
Chicago and Dovetail Hi-C proximity ligation yield chromosome length scaffolds of Ixodes scapularis genome
Authors: Nuss Andrew B. , Sharma Arvind , Gulia-Nuss Monika 
Published: August 2018

AbstractA high-quality genome sequence is essential for understanding an organism on molecular level. However, the larger genomes with substantial repetitive sequences are challenging to assemble with the sequencing technologies. Hi-C technique is changing the genome architecture landscape by providing links across a variety of length scales, spanning even whole chromosomes. Ixodes scapularis haploid genome is 2.1 gbp and the current assembly consists of 369,495 scaffolds representing 57% of the genome. The fragmented genome poses challenges with functional gene analysis and an improved assembly is needed. We therefore used the Hi C technique to achieve chromosomal level assembly of tick genome. With Chicago and Dovetail Hi C assemblies, we were able to achieve 28 >10Mb sequences that correspond to 28 chromosomes in I. scapularis.
Analysis and comparison of genome editing using CRISPResso2
Authors: Clement Kendell , Rees Holly , Canver Matthew C. , Gehrke Jason M. , Farouni Rick , Hsu Jonathan Y , Cole Mitchel , Liu David R. , Keith Joung J. , Bauer Daniel E. , Pinello Luca 
Published: August 2018

AbstractGenome editing technologies are rapidly evolving, and analysis of deep sequencing data from target or off-target regions is necessary for measuring editing efficiency and evaluating safety. However, no software exists to analyze base editors, perform allele-specific quantification or that incorporates biologically-informed and scalable alignment approaches. Here, we present CRISPResso2 to fill this gap and illustrate its functionality by experimentally measuring and analyzing the editing properties of six genome editing agents.
Individual and temporal variation in pathogen load predicts long-term impacts of an emerging infectious disease
Authors: Wells Konstans , Hamede Rodrigo K. , Jones Menna E. , Hohenlohe Paul A. , Storfer Andrew , McCallum Hamish I. 
Published: August 2018

AbstractEmerging infectious diseases increasingly threaten wildlife populations. Most studies focus on managing short-term epidemic properties, such as controlling early outbreaks. Predicting long-term endemic characteristics with limited retrospective data is more challenging. We used individual-based modelling informed by individual variation in pathogen load and transmissibility to predict long-term impacts of a lethal, transmissible cancer on Tasmanian devil (Sarcophilus harrisii) populations. For this, we employed Approximate Bayesian Computation to identify model scenarios that best matched known epidemiological and demographic system properties derived from ten years of data after disease emergence, enabling us to forecast future system dynamics. We show that the dramatic devil population declines observed thus far are likely attributable to transient dynamics. Only 21% of matching scenarios led to devil extinction within 100 years following devil facial tumour disease (DFTD) introduction, whereas DFTD faded out in 57% of simulations. In the remaining 22% of simulations, disease and host coexisted for at least 100 years, usually with long-period oscillations. Our findings show that pathogen extirpation or host-pathogen coexistence are much more likely than the DFTD-induced devil extinction, with crucial management ramifications. Accounting for individual-level disease progression and the long-term outcome of devil-DFTD interactions at the population-level, our findings suggest that immediate management interventions are unlikely to be necessary to ensure the persistence of Tasmanian devil populations. This is because strong population declines of devils after disease emergence do not necessarily translate into long-term population declines at equilibria. Our modelling approach is widely applicable to other host-pathogen systems to predict disease impact beyond transient dynamics.
Evidence based learning design – the opportunities afforded by learning analytics
Authors: Cohen Jay Andrew 
Published: August 2018

Purpose
As a means of better understanding learner success, higher education institutions, training providers, and corporate learning and development teams are contemplating the opportunities learning analytics affords. Simply put, learning analytics is the collection, analysis, and reporting of learner data, for the principle means of enhancing learning. It is argued that learning analytics – when available in a consistent and digestible format – not only provides educators with a clear view of the learners “footprint” but also allows for the means of navigating the broad spectrum of possible learning interventions. This brief paper outlines a clear definition of learning analytics and provides some suggestions on how learning analytics can assist in informing the decision-making relating to learning interventions for learning designers and educators via an evidence-based approach, one in which learner success is at the forefront.

Design/methodology/approach
Viewpoint paper

Findings
This paper has found that the collecting, reporting, predicting, and acting on learning analytics are more effective means of targeting adjustment to learning material, including interactive aspects, videos, text, discussion board activities, collaborative group work, assessment tasks, quizzes, branching scenarios, and teacher facilitated learning interventions.

Research limitations/implications
This is not a research paper, and as such so no limitations/implications are presented.

Practical implications
This paper explores how this is undertaken using an evidence-based approach, one in which learner success is at the forefront.

Social implications
This paper provides some practical strategies for trainers, educators, and learning designers.

Originality/value
Viewpoint paper
The Great Recession and wealth in the United States: differentials by religious affiliation
Authors: Beck Sedefka V. , Brodersen Donka Mirtcheva 
Published: August 2018

Purpose
The purpose of this paper is to examine wealth dynamics through the Great Recession along a dimension previously not studied, religious affiliation. Specifically, this paper analyzes wealth differentials and relative wealth losses among religious groups at the mean and along the wealth distribution before and after the Great Recession.

Design/methodology/approach
Drawing on data from the Panel Study of Income Dynamics and including a wide array of control variables, the paper analyzes the impact of religious affiliation groups on wealth pre- and post-Recession, using OLS, generalized least squares and quantile regression models.

Findings
The findings show that wealth differentials among religious groups exist both before and after the Recession and that wealth disparities are greater for people at the low end of the wealth distribution, who lost disproportionately more wealth across religious groups.

Social implications
The results suggest that the Great Recession further increased wealth inequality yet along another dimension, religious affiliation. These findings imply that in order to decrease wealth inequality and minimize other harmful effects of adverse macroeconomic events, religious institutions may provide education on financial management strategies, especially to those at the low end of the wealth distribution.

Originality/value
This paper is the first of its kind to build upon two bodies of literature: the research on religion and wealth and the research on wealth losses and the Great Recession. It is also the first paper to explore the religion–wealth relationship after the Great Recession and along the wealth distribution.
Supply chain integration and its impact on sustainability
Authors: Kang Mingu , Yang Ma Ga (Mark) , Park Youngwon , Huo Baofeng 
Published: August 2018

PurposeThe purpose of this paper is to examine the role of supply chain integration (SCI) in improving sustainability management practices (SMPs) and performance.Design/methodology/approachBased on data collected from 931 manufacturing firms in multiple countries and regions, the authors conducted a structural equation modeling analysis to test the proposed hypotheses.FindingsThe findings suggest that supplier and customer integration are vital enablers for both intra- and inter-organizational SMPs. The results also reveal that both intra- and inter-organizational SMPs are significantly and positively associated with sustainability performance (i.e. economic, environmental and social performance) and function as complements to jointly enhance environmental and social performance.Originality/valueThis study incorporates SCI into the sustainability literature, providing a new perspective on sustainability and supply chain management research.
Having a voice
Authors: Massie Rachel , Machin Richard , McCormack Fiona , Kurth Judith 
Published: August 2018

Purpose
The purpose of this paper is to understand the lived experience of people who have experienced homelessness and street activity, and professional stakeholders’ views about the challenges faced by this client group. The study sought to identify measures to improve the current situation for both individuals experiencing homelessness and professionals working with them.

Design/methodology/approach
Peer researchers with lived experience of multiple and complex needs conducted semi-structured interviews/surveys with 18 participants (eight individuals experiencing homelessness and street activity and ten professional stakeholders). The authors of the paper conducted a thematic analysis of the data.

Findings
This paper offers insights into both the current challenges and assets for people who are or have been homeless in an urban setting. Key findings include the need for a coordinated partnership approach to address pathways to support, and the importance of developing opportunities for meaningful activity and building on local resources including giving homeless people a voice. These findings are discussed within the context of current policy (Housing First) and legislation (Homelessness Reduction Act 2017) and the impact on integrated care for people who have experienced homelessness.

Research limitations/implications
The views explored in this study are specific to one city centre in the West Midlands; thus, generalisability may be limited.

Originality/value
This study presents a participatory research approach with peer researchers exploring the perspective of individuals experiencing homelessness and wider stakeholders. The findings of this research are considered with reference to the provisions of the HRA 2017.
Lean production integration adaptable to dynamic conditions
Authors: Stålberg Lina , Fundin Anders 
Published: August 2018

Purpose
The purpose of this paper is to understand how a continuous improvement (CI) approach like lean production (LP) integration is affected by dynamic conditions and to propose how LP integration can be adaptable to dynamic conditions.

Design/methodology/approach
A longitudinal case study has been conducted in which data were collected through participative observations, observations, documents and an in-depth semi-structured interview.

Findings
The adaptability is related to the maturity level of the LP integration, where more mature organisations are better equipped to deal with the challenges occurring due to their learning and experimentation capabilities. The main problem is that the LP integration needs to be adapted, like compromising with just-in-time. This creates challenges to more immature organisations; they do not seem to be able to adapt the LP integration since the skills are lacking.

Research limitations/implications
The research limitations are associated with the research design and therefore might limit generalisation of the context studied.

Practical implications
The management needs to stay focused on the LP integration to continue building CI capability. There is a need to adapt the LP concept, which includes assessing how proposed changes and the LP concept interact in order to make them reinforce each other. This involves creating guidelines concerning adaptation and facilitating a transition from mainly single-loop learning to double-loop learning.

Originality/value
This paper contributes by describing challenges that have an impact on LP integration and related organisational adaptability under dynamic conditions.
Sentiment annotations for reviews: an information quality perspective
Authors: Yang Heng-Li , Chao August F.Y. 
Published: August 2018

Purpose
The purpose of this paper is to propose sentiment annotation at sentence level to reduce information overloading while reading product/service reviews in the internet.

Design/methodology/approach
The keyword-based sentiment analysis is applied for highlighting review sentences. An experiment is conducted for demonstrating its effectiveness.

Findings
A prototype is built for highlighting tourism review sentences in Chinese with positive or negative sentiment polarity. An experiment results indicates that sentiment annotation can increase information quality and user’s intention to read tourism reviews.

Research limitations/implications
This study has made two major contributions: proposing the approach of adding sentiment annotation at sentence level of review texts for assisting decision-making; validating the relationships among the information quality constructs. However, in this study, sentiment analysis was conducted on a limited corpus; future research may try a larger corpus. Besides, the annotation system was built on the tourism data. Future studies might try to apply to other areas.

Practical implications
If the proposed annotation systems become popular, both tourists and attraction providers would obtain benefits. In this era of smart tourism, tourists could browse through the huge amount of internet information more quickly. Attraction providers could understand what are the strengths and weaknesses of their facilities more easily. The application of this sentiment analysis is possible for other languages, especially for non-spaced languages.

Originality/value
Facing large amounts of data, past researchers were engaged in automatically constructing a compact yet meaningful abstraction of the texts. However, users have different positions and purposes. This study proposes an alternative approach to add sentiment annotation at sentence level for assisting users.
Online advertorial attributions on consumer responses: materialism as a moderator
Authors: Chang Hsin Hsin , Wong Kit Hong , Chu Tsun Wei 
Published: August 2018

Purpose
Based on the Mehrabian–Russell theory, the purpose of this paper is to view the attributes of advertorial information as a stimulus in an online environment to examine the emotional states of consumers and their sequential behavioral responses. Moreover, materialism is proposed as a moderator in the relationship between advertorial attributions and emotion.

Design/methodology/approach
By adopting a quantitative approach, 421 consumers with browsing forums or blog experience participated in the study. SEM techniques were adopted for the formal data analysis.

Findings
There was a causation found among control, arousal and pleasure. Advertorial attributes influenced the consumers’ emotional states via control, and emotional states directly affected the information acceptance and purchase intention. Materialism partially moderated the relationship between the advertorial information attributions and emotional states.

Practical implications
Advertorial editors should provide detailed product information with credible sources in a positive manner and should attach videos or interesting pictures to avoid boredom and attract reader attention, especially in the case of materialists. In addition, editors should also provide some related hyperlinks for consumers to stimulate their further reading and then should observe the number of clicks and shares to estimate the popularity of the advertorial, so adjustments can be made if necessary.

Originality/value
This paper confirmed the causation of pleasure, arousal and the validity of the dominance (PAD) emotional model and found a partially moderating effect of materialism on the relationship between the attributes of advertorials and the emotional states of consumers.
Is the equalization/normalization lens dead? Social media campaigning in US congressional elections
Authors: Gainous Jason , Segal Andrew , Wagner Kevin 
Published: August 2018

Purpose
Early information technology scholarship centered on the internet’s potential to be a democratizing force was often framed using an equalization/normalization lens arguing that either the internet was going to be an equalizing force bringing power to the masses, or it was going to be normalized into the existing power structure. The purpose of this paper is to argue that considered over time the equalization/normalization lens still sheds light on our understanding of how social media (SM) strategy can shape electoral success asking if SM are an equalizing force balancing the resource gap between candidates or are being normalized into the modern campaign.

Design/methodology/approach
SM metrics and electoral data were collected for US congressional candidates in 2012 and 2016. A series of additive and interactive models are employed to test whether the effects of SM reach on electoral success are conditional on levels of campaign spending.

Findings
The results suggest that those candidates who spend more actually get more utility for their SM campaign than those who spend less in 2012. However, by 2016, spending inversely correlates with SM campaign utility.

Research limitations/implications
The findings indicate that SM appeared to be normalizing into the modern congressional campaign in 2012. However, with higher rates of penetration and greater levels of usage in 2016, the SM campaign utility was not a result of higher spending. SM may be a greater equalizing force now.

Practical implications
Campaigns that initially integrate digital and traditional strategies increase the effectiveness of the SM campaign because the non-digital strategy both complements and draws attention to the SM campaign. However, by 2016 the SM campaign was not driven by its relation to traditional campaign spending.

Originality/value
This is the first large N study to examine the interactive effects of SM reach and campaign spending on electoral success.
Quantile forecasts using the Realized GARCH-EVT approach
Authors: Paul Samit , Sharma Prateek 
Published: August 2018

PurposeThis study aims to implement a novel approach of using the Realized generalized autoregressive conditional heteroskedasticity (GARCH) model within the conditional extreme value theory (EVT) framework to generate quantile forecasts. The Realized GARCH-EVT models are estimated with different realized volatility measures. The forecasting ability of the Realized GARCH-EVT models is compared with that of the standard GARCH-EVT models.Design/methodology/approachOne-step-ahead forecasts of Value-at-Risk (VaR) and expected shortfall (ES) for five European stock indices, using different two-stage GARCH-EVT models, are generated. The forecasting ability of the standard GARCH-EVT model and the asymmetric exponential GARCH (EGARCH)-EVT model is compared with that of the Realized GARCH-EVT model. Additionally, five realized volatility measures are used to test whether the choice of realized volatility measure affects the forecasting performance of the Realized GARCH-EVT model.FindingsIn terms of the out-of-sample comparisons, the Realized GARCH-EVT models generally outperform the standard GARCH-EVT and EGARCH-EVT models. However, the choice of the realized estimator does not affect the forecasting ability of the Realized GARCH-EVT model.Originality/valueIt is one of the earliest implementations of the two-stage Realized GARCH-EVT model for generating quantile forecasts. To the best of the authors’ knowledge, this is the first study that compares the performance of different realized estimators within Realized GARCH-EVT framework. In the context of high-frequency data-based forecasting studies, a sample period of around 11 years is reasonably large. More importantly, the data set has a cross-sectional dimension with multiple European stock indices, whereas most of the earlier studies are based on the US market.