bluuebunny/crossref_metadata_2025_split huggingface dataset:
A model for the generation and interconversion of ER morphologies
Authors: Shemesh Tom , Klemm Robin W. , Romano Fabian B. , Wang Songyu , Vaughan Joshua , Zhuang Xiaowei , Tukachinsky Hanna , Kozlov Michael M. , Rapoport Tom A. 
Published: November 2014

Significance
The endoplasmic reticulum (ER) is an important membrane-bound organelle in all eukaryotic cells. Depending on cell type and functional state, the ER membrane can adopt different morphologies, including a network of interconnected tubules, and sheets that can contain fenestrations or be stacked on top of each other. How these different morphologies are generated is unclear. Here, we present a comprehensive theoretical model that explains the formation and interconversion of virtually all known ER morphologies. The model is based on two types of membrane-shaping proteins, exemplified by the reticulons and lunapark, which both stabilize the high membrane curvature in cross-sections of tubules and sheet edges, but favor straight or concave sheet edges, respectively. The predictions of the model are experimentally verified.
Does Finance Accelerate or Retard Growth? Theory and Evidence
Authors: Allen Franklin , Carletti Elena , Qian Jun “QJ” , Valenzuela Patricio 
Published: November 2014

Abstract
Finance can be beneficial for growth, but it can also contribute to financial crises, which are often very damaging for growth. An extensive review of the literature suggests that financial development has a positive impact on economic growth at adequate levels of financial depth but that the effect vanishes, or even becomes negative, when finance becomes excessive. Excessive finance can incubate economic booms and asset price bubbles that end in financial crises, followed by low rates of economic growth for sustained periods. Too little finance is not desirable-but too much is not desirable either. Alternative finance plays an important role in emerging economies, such as China and India. Strong institutions and legal systems may not be prerequisites for growth; alternative systems based on trust, reputation, and other mechanisms can play a crucial role.
Dignity, Crime, and Punishment
Authors: Dan-Cohen Meir 
Published: November 2014

Abstract
Defining criminal law and drawing its proper boundaries raises two main questions: What distinguishes criminal offenses from other preventable harms, and what distinguishes criminal punishment from other forms of government coercion? This chapter addresses these questions by drawing on Kant’s moral theory, specifically on his notion of human dignity and the related injunction that people be treated as ends. On the resulting view, the distinctive mark of core crimes is the disrespect they evince for the victims’ moral worth. Correspondingly, the central mission of criminal punishment is to uphold dignity, either by defending it from violation or by vindicating it when such violation occurs.
Unsupervised discovery of information structure in biomedical documents
Authors: Kiela Douwe , Guo Yufan , Stenius Ulla , Korhonen Anna 
Published: November 2014

AbstractMotivation: Information structure (IS) analysis is a text mining technique, which classifies text in biomedical articles into categories that capture different types of information, such as objectives, methods, results and conclusions of research. It is a highly useful technique that can support a range of Biomedical Text Mining tasks and can help readers of biomedical literature find information of interest faster, accelerating the highly time-consuming process of literature review. Several approaches to IS analysis have been presented in the past, with promising results in real-world biomedical tasks. However, all existing approaches, even weakly supervised ones, require several hundreds of hand-annotated training sentences specific to the domain in question. Because biomedicine is subject to considerable domain variation, such annotations are expensive to obtain. This makes the application of IS analysis across biomedical domains difficult. In this article, we investigate an unsupervised approach to IS analysis and evaluate the performance of several unsupervised methods on a large corpus of biomedical abstracts collected from PubMed.Results: Our best unsupervised algorithm (multilevel-weighted graph clustering algorithm) performs very well on the task, obtaining over 0.70 F scores for most IS categories when applied to well-known IS schemes. This level of performance is close to that of lightly supervised IS methods and has proven sufficient to aid a range of practical tasks. Thus, using an unsupervised approach, IS could be applied to support a wide range of tasks across sub-domains of biomedicine. We also demonstrate that unsupervised learning brings novel insights into IS of biomedical literature and discovers information categories that are not present in any of the existing IS schemes.Availability and Implementation: The annotated corpus and software are available at http://www.cl.cam.ac.uk/∼dk427/bio14info.html.Contact: alk23@cam.ac.uk
Full-genome evolutionary histories of selfing, splitting and selection inCaenorhabditis
Authors: Thomas Cristel G. , Wang Wei , Jovelin Richard , Ghosh Rajarshi , Lomasko Tatiana , Trinh Quang , Kruglyak Leonid , Stein Lincoln D. , Cutter Asher D. 
Published: November 2014

AbstractThenematode Caenorhabditis briggsaeis a model for comparative developmental evolution withC. elegans. Worldwide collections ofC. briggsaehave implicated an intriguing history of divergence among genetic groups separated by latitude, or by restricted geography, that is being exploited to dissect the genetic basis to adaptive evolution and reproductive incompatibility. And yet, the genomic scope and timing of population divergence is unclear. We performed high-coverage whole-genome sequencing of 37 wild isolates of the nematodeC. briggsaeand applied a pairwise sequentially Markovian coalescent (PSMC) model to 703 combinations of genomic haplotypes to draw inferences about population history, the genomic scope of natural selection, and to compare with 40 wild isolates ofC. elegans. We estimate that a diaspora of at least 6 distinctC. briggsaelineages separated from one another approximately 200 thousand generations ago, including the ‘Temperate’ and ‘Tropical’ phylogeographic groups that dominate most samples from around the world. Moreover, an ancient population split in its history 2 million generations ago, coupled with only rare gene flow among lineage groups, validates this system as a model for incipient speciation. Low versus high recombination regions of the genome give distinct signatures of population size change through time, indicative of widespread effects of selection on highly linked portions of the genome owing to extreme inbreeding by self-fertilization. Analysis of functional mutations indicates that genomic context, owing to selection that acts on long linkage blocks, is a more important driver of population variation than are the functional attributes of the individually encoded genes.
Children’s response to co-branded products: the facilitating role of fit
Authors: Charry Karine , Demoulin Nathalie T. M. 
Published: November 2014

Purpose– The purpose of this paper is to represent the first empirical investigation of co-branding strategies whose target is children. It analyses such strategies’ potential in the context of brand extension for non-familiar brands combined with familiar ones and provides managerial implications for both brands.Design/methodology/approach– A leisure centre-based survey was used to collect information on children’s attitudes, evaluations of fit and consumption intentions of co-branded products.Findings– The findings confirm that co-branding strategies may have a very positive impact on attitudes towards partner brands, intentions to consume co-branded products and the host brand. They also indicate that consumption intentions for other products from the host product category are enhanced. From a theoretical perspective, the study stresses the essential mediating role of brand fit. Indeed, this construct appears to enable preadolescents to integrate simultaneous evaluations of two brands while constructing their attitudes towards one product. The asymmetric spill-over effect is also confirmed, with the non-familiar (weaker) brand benefiting more from the co-branding than the familiar (strong) brand.Research limitations/implications– The main limitations pertain to the small sample size and the absence of direct behavioural measures that could be added through later research. It would also be interesting to study further the concept of fit and the nature of the underlying mediating process (cognitive vs affective) among the target audience, as well as to analyse the impact of the various types of co-branding (functional vs symbolic).Practical implications– The derived guidelines suggest how non-familiar brands to the pre-adolescent target (including retailers’ brand) may expand their businesses through successful alliances with a more familiar brand that is viewed favourably.Social implications– In this study, concerns were high to select a co-branded product that does not harm children’s health, to the contrary (vegetable soup with cheese). The results demonstrate that the tactic may increase the target’s intentions to eat products that it would not necessarily fancy (as often the case for healthy products) while contributing to the positive development of economic actors. In this, the paper shows that economic interests should not always be opposed to social welfare.Originality/value– This study investigates the very popular strategy of brand alliance among an original target (eight-to 12-year-olds) and identifies the original process through which preadolescents appraise two brands that endorse one product, a unique marketing context. This represents an important starting point to further studies on brand alliances.
Joint consumption challenges in groups
Authors: Marchand Andre 
Published: November 2014

Purpose
– This study aims to develop a new general framework of the challenges for decision making in groups. Unlike most research focused on individual consumption, this study takes a broader perspective on joint consumption.

Design/methodology/approach
– The conceptual framework and the developed research questions are based on an extensive literature review.

Findings
– This research identifies five major challenges for group decisions: allocation of responsibilities, preference prediction, preference aggregation, conflicts and mutual influences. For each challenge, this study summarizes existing findings and highlights important areas for continued investigation, related to a marketing-oriented understanding of consumers. This article concludes with implications for both managers and researchers.

Originality/value
– The identified key determinants of group decisions aggregate findings from multidisciplinary literature and can help marketing researchers and managers understand the relevant but underresearched issues of decision making in groups. Furthermore, this study includes relevant moderators, such as individual and group characteristics, and reveals problematic research gaps. In turn, it offers questions and ideas for additional research.
Estimating individual promotional campaign impacts through Bayesian inference
Authors: Becker Keith , Sprigg Jim , Cosmas Alex 
Published: November 2014

Purpose
– The purpose of this paper is to estimate individual promotional campaign impacts through Bayesian inference. Conventional statistics have worked well for analyzing the impact of direct marketing promotions on purchase behavior. However, many modern marketing programs must drive multiple purchase objectives, requiring more precise arbitration between multiple offers and collection of more data with which to differentiate individuals. This often results in datasets that are highly dimensional, yet also sparse, straining the power of statistical methods to properly estimate the effect of promotional treatments.

Design/methodology/approach
– Improvements in computing power have enabled new techniques for predicting individual behavior. This work investigates a probabilistic machine-learned Bayesian approach to predict individual impacts driven by promotional campaign offers for a leading global travel and hospitality chain. Comparisons were made to a linear regression, representative of the current state of practice.

Findings
– The findings of this work focus on comparing a machine-learned Bayesian approach with linear regression (which is representative of the current state of practice among industry practitioners) in the analysis of a promotional campaign across three key areas: highly dimensional data, sparse data and likelihood matching.

Research limitations/implications
– Because the findings are based on a single campaign, future work includes generalizing results across multiple promotional campaigns. Also of interest for future work are comparisons of the technique developed here with other techniques from academia.

Practical implications
– Because the Bayesian approach allows estimation of the influence of the promotion for each hypothetical customer’s set of promotional attributes, even when no exact look-alikes exist in the control group, a number of possible applications exist. These include optimal campaign design (given the ability to estimate the promotional attributes that are likely to drive the greatest incremental spend in a hypothetical deployment) and operationalizing efficient audience selection given the model’s individualized estimates, reducing the risk of marketing overcommunication, which can prompt costly unsubscriptions.

Originality/value
– The original contribution is the application of machine-learning to Bayesian Belief Network construction in the context of analyzing a multi-channel promotional campaign’s impact on individual customers. This is of value to practitioners seeking alternatives for campaign analysis for applications in which more commonly used models are not well-suited, such as the three key areas that this paper highlights: highly dimensional data, sparse data and likelihood matching.
Modeling attitude constructs in movie product placements
Authors: K. Balasubramanian Siva , Patwardhan Hemant , Pillai Deepa , K. Coker Kesha 
Published: November 2014

Purpose– The purpose of this paper is to propose and test a conceptual framework of attitudinal constructs that influence attitude toward the brand in movie product placements. Advertising literature is replete with studies on factors that influence attitude toward the brand (Ab). However, this topic remains under-explored for product placements.Design/methodology/approach– Our framework showcases several theories to relate attitude and fit constructs to attitudes toward the product placement and attitude toward the brand. We use the structural equation model approach to estimate the conceptual framework.Findings– Several attitudinal movie constructs (attitude toward the actor, the character and the movie) influence attitude toward the product placement, which in turn mediates the relationship between the former attitudinal constructs and attitude toward the brand. Interestingly, only the fit between the actor and placed brand impacted attitude toward the product placement, with no effects found for the fit between the character and the fit between the movie and brand and the attitude toward the product placement.Research limitations/implications– We focus on explicit attitudes; implicit attitudes need future research attention.Practical implications– Findings affirm a key role for the actor featured in the placement in directly or indirectly shaping the attitude toward the brand.Originality/value– This is the first study to apply the structural equation modeling approach to this research area.
Use of mental health services by women in low and middle income countries
Authors: Paula de los Angeles Christine , Watkins Lewis William , McBain Ryan , Taghi Yasamy Mohammad , Aderemi Olukoya Adepeju , Morris Jodi 
Published: November 2014

Purpose
– The purpose of this paper is to examine sex differences in mental health service usage among upper-middle, lower-middle, and low-income countries (LICs).

Design/methodology/approach
– Data from 62 low- and middle-income countries (LAMICs) were collected with the World Health Organization – Assessment Instrument for Mental Health Systems (WHO-AIMS). Sex differences in mental health service utilization were assessed by comparing the proportion female in the general population with the proportion female treated for mental illness in five different types of mental health facility.

Findings
– Two-sided t-tests for significance (a=0.05) revealed a significant difference between the proportion female in the population and the proportion treated in inpatient facilities (community-based and mental hospitals) in LICs. There was also a trend toward decreased use of outpatient facilities by women in LICs (p=0.08). Lower-middle and upper-middle income countries showed no differences. In day treatment facilities for the entire sample, there was a significant difference between the proportion female in the population and the proportion treated female (weighted mean difference overall=0.10, p=0.035).

Research limitations/implications
– The authors found significantly reduced utilization of mental health services by women in LICs in community-based inpatient facilities and mental hospitals and a trend toward decreased use in outpatient facilities. Future studies investigating the factors contributing to the lower utilization of services by women in LICs are essential.

Originality/value
– This study presents the first comprehensive study of mental health service usage by sex in 62 LAMICs.
Pilot study using Neurolinguistic Programming (NLP) in post-combat PTSD
Authors: Wake Lisa , Leighton Margaret 
Published: November 2014

Purpose
– The purpose of this paper is to determine if neurolinguistic programming (NLP) tools and techniques were effective in alleviating the symptoms of posttraumatic stress disorder (PTSD) in clients from the Military and Emergency Services.

Design/methodology/approach
– This project ran at the “Healing the Wounds” charity in Bridgend. All clients were opportunistic, having self-referred to a charity specifically set up to support Veterans from the Armed Forces. In total, 29 clients from an initial cohort of 106 clients provided pre and post data using Depression Anxiety Stress Scale (DASS) and the NLP Wheel of Life scale. Interventions included a range of NLP techniques, addressing self-reported symptoms.

Findings
– Differences between DASS scores before and after treatment are very highly significant. t-test analysis infers that these results are indicative of the overall response from the clients in this study.

Research limitations/implications
– Limitations of the study include: client group; significant levels of incomplete data for the total study group; therapist effect and therapist training; treatment methodology.

Originality/value
– Data suggest that NLP has potential as a therapeutic tool in the treatment of symptoms of anxiety and depression associated with a self-report of PTSD. An observation is proposed that these candidates experience an improvement in their emotional state when NLP is used which is statistically significant (p<0.001) both for overall DASS score averages and also for each of the three DASS categories (Depression, Anxiety and Stress). Stress was the highest scoring category prior to treatment for these clients; the reduction in their stress symptoms contributed most substantially to the overall reduction in average DASS score, indicating an improvement in their emotional state.
Financial advice and asset allocation of individual investors
Authors: Zhang Annie Claire 
Published: November 2014

Purpose– The purpose of this paper is to explore the differences in KiwiSaver portfolio composition between investors who receive financial advice and those who do not.Design/methodology/approach– Using proprietary data which contain information of 405,107 individual KiwiSaver accounts, this paper examines who receives advice, compares the asset allocations of advised accounts with non-advised accounts, explores the relation of asset allocation with demographic characteristics and compares differences in returns between advised and non-advised investors.Findings– Three key findings are presented in this paper. First, female investors, relatively older investors and investors with higher levels of funds under management (invested wealth) are more likely to receive financial advice. Second, advised investors hold more equity assets. Third, differences in performance between advised and non-advised accounts are marginal.Research limitations/implications– Panel data are not used, which prohibit investigating asset allocation choices overtime. The time series for returns is short, as KiwiSaver has only been operating since 2007. The total portfolio that people own is not known; thus, the values on investment fund information do not represent the total wealth of each person, as other accounts elsewhere may exist.Practical implications– There are broad implications for the New Zealand capital market, retirement policy, financial advice industry and development of financial literacy programmes.Originality/value– The paper examines individual investor behaviour on a nationwide sample and explores how receiving financial advice relates to asset allocation.
Should dehydration in older people be a marker of lack of quality in long term care provision?
Authors: Hooper Lee , Bunn Diane K 
Published: November 2014

Purpose– The purpose of this paper is to consider whether dehydration in older people should be used as a marker of lack of quality in long-term care provision.Design/methodology/approach– The piece examines the assumed relationship between dehydration and the quality of care, and then considers the factors that can lead to dehydration in older people.Findings– Even with the best care, older people, in the absence of a sense of thirst, and for fear of urinary accidents, difficulties getting to the toilet or choking, may choose to drink less than would be ideal for their health. While good care supports older people to minimise these problems, it also respects older people making their own decisions around when, what and how much to drink. It appears that dehydration may sometimes be a sign of good care, as well as arising from poor care.Social implications– Residential care homes should not be stigmatised on the basis of their residents being dehydrated, but rather helped to explore whether they are achieving an appropriate balance between care and quality of life for their residents.Originality/value– This discussion may be of use to those living in, working in, managing or assessing residential care.