bluuebunny/crossref_metadata_2025_split huggingface dataset:
Greater capacity to exploit warming temperatures in northern populations of European beech is partly driven by delayed leaf senescence
Authors: Gárate-Escamilla Homero , Brelsford Craig C. , Hampe Arndt , Robson T. Matthew , Benito Garzón Marta 
Published: July 2019

AbstractOne of the most widespread consequences of climate change is the disruption of trees’ phenological cycles. The extent to which tree phenology varies with local climate is largely genetically determined, and while a combination of temperature and photoperiodic cues are typically found to trigger bud burst (BB) in spring, it has proven harder to identify the main cues driving leaf senescence (LS) in autumn. We used 925 individual field-observations of BB and LS from six Fagus sylvatica provenances, covering the range of environmental conditions found across the species distribution, to: (i) estimate the dates of BB and LS of these provenances; (ii) assess the main drivers of LS; and (iii) predict the likely variation in the growing season length (GSL; defined by BB and LS timing) across populations under current and future climate scenarios. To this end, we first calibrated linear mixed-effects models for LS as a function of temperature, insolation and BB date. Secondly, we calculated the GSL for each provenance as the number of days between BB and LS. We found that: i) there were larger differences among provenances in the date of LS than in the date of BB; ii) the temperature through September, October and November was the main determinant of LS in beech, although covariation of temperature with daily insolation and precipitation-related variables suggests that all three variables may affect LS timing; and iii) GSL was predicted to increase in northern beech provenances and to shrink in populations from the core and the southern range under climate change. Consequently, the large differences in GSL across beech range in the present climate are likely to decrease under future climates where rising temperatures will alter the relationship between BB and LS, with northern populations increasing productivity by extending their growing season to take advantage of warmer conditions.
International lineages of Salmonella enterica serovars isolated from chicken farms, Wakiso District, Uganda
Authors: Ball Takiyah A. , Monte Daniel F. , Aidara-Kane Awa , Matheu Jorge , Ru Hongyu , Thakur Siddhartha , Ejobi Francis , Fedorka-Cray Paula J. 
Published: July 2019

ABSTRACTThe growing occurrence of multidrug-resistant (MDR) Salmonella enterica in poultry has been reported with public health concern worldwide. We reported, recently, the occurrence of Escherichia coli and Salmonella enterica serovars carrying clinically relevant resistance genes in dairy cattle farms in the Wakiso District, Uganda, highlighting an urgent need to monitor food-producing animal environments. Here, we present the prevalence, antimicrobial resistance, and sequence type of 51 Salmonella isolates recovered from 400 environmental samples from chicken farms in Uganda. Among the Salmonella isolates, 32/51 (62.7%) were resistant to at least one antimicrobial, and 10/51 (19.6%) displayed multiple drug resistance. Through PCR, five replicon plasmids were identified among all chicken Salmonella including IncFIIS 17/51 (33.3%), IncI1α 12/51 (23.5%), IncP 8/51 (15.7%), IncX1 8/51 (15.7%), and IncX2 1/51 (2.0%). In addition, we identified replicons through WGS (ColpVC and IncFIB). A significant seasonal difference between chicken sampling periods was observed (p= 0.0017). We conclude that MDR Salmonella highlights the risks posed to the animals, environment, and humans for infection. Implementing a robust integrated surveillance system in Uganda will help monitor MDR to help control infectious threats.
Prioritization of genes driving congenital phenotypes of patients with de novo genomic structural variants
Authors: Middelkamp Sjors , Vlaar Judith M. , Giltay Jacques , Korzelius Jerome , Besselink Nicolle , Boymans Sander , Janssen Roel , de la Fonteijne Lisanne , van Binsbergen Ellen , van Roosmalen Markus J. , Hochstenbach Ron , Giachino Daniela , Talkowski Michael E. , Kloosterman Wigard P. , Cuppen Edwin 
Published: July 2019

AbstractBackgroundGenomic structural variants (SVs) can affect many genes and regulatory elements. Therefore, the molecular mechanisms driving the phenotypes of patients with multiple congenital abnormalities and/or intellectual disability carrying de novo SVs are frequently unknown.ResultsWe applied a combination of systematic experimental and bioinformatic methods to improve the molecular diagnosis of 39 patients with de novo SVs and an inconclusive diagnosis after regular genetic testing. In seven of these cases (18%) whole genome sequencing analysis detected disease-relevant complexities of the SVs missed in routine microarray-based analyses. We developed a computational tool to predict effects on genes directly affected by SVs and on genes indirectly affected due to changes in chromatin organization and impact on regulatory mechanisms. By combining these functional predictions with extensive phenotype information, candidate driver genes were identified in 16/39 (41%) patients. In eight cases evidence was found for involvement of multiple candidate drivers contributing to different parts of the phenotypes. Subsequently, we applied this computational method to a collection of 382 patients with previously detected and classified de novo SVs and identified candidate driver genes in 210 cases (54%), including 32 cases whose SVs were previously not classified as pathogenic. Pathogenic positional effects were predicted in 25% of the cases with balanced SVs and in 8% of the cases with copy number variants.ConclusionsThese results show that driver gene prioritization based on integrative analysis of WGS data with phenotype association and chromatin organization datasets can improve the molecular diagnosis of patients with de novo SVs.
Low entropy map of brain oscillatory activity identifies spatially localized events: a new method for automated epilepsy focus prediction
Authors: Vila-Vidal Manel , Enríquez Carmen Pérez , Principe Alessandro , Rocamora Rodrigo , Deco Gustavo , Campo Adrià Tauste 
Published: July 2019

AbstractThe spatial mapping of localized events in brain activity critically depends on the correct identification of the pattern signatures associated with those events. For instance, in the context of epilepsy research, a number of different electrophysiological patterns have been associated with epileptogenic activity. Motivated by the need to define automated seizure focus detectors, we propose a novel data-driven algorithm for the spatial identification of localized events that is based on the following rationale: the distribution of emerging oscillations during confined events across all recording sites is highly non-uniform and can be mapped using a spatial entropy function. By applying this principle to EEG recording obtained from 67 distinct seizure epochs, our method successfully identified the seizure focus on a group of ten drug-resistant temporal lobe epilepsy patients (average sensitivity: 0.94, average specificity: 0.90) together with its characteristic electrophysiological pattern signature. Cross-validation of the method outputs with postresective information revealed the consistency of our findings in long follow-up seizure-free patients. Overall, our methodology provides a reliable computational procedure that might be used as in both experimental and clinical domains to identify the neural populations undergoing an emerging functional or pathological transition.Conflict of interestsThe authors declare no competing financial interests.
Cost optimization of project schedules under constrained resources and alternative production processes by mixed-integer nonlinear programming
Authors: Cajzek Rok , Klanšek Uroš 
Published: July 2019

PurposeThe purpose of this paper is cost optimization of project schedules under constrained resources and alternative production processes (APPs).Design/methodology/approachThe model contains a cost objective function, generalized precedence relationship constraints, activity duration and start time constraints, lag/lead time constraints, execution mode (EM) constraints, project duration constraints, working time unit assignment constraints and resource constraints. The mixed-integer nonlinear programming (MINLP) superstructure of discrete solutions covers time–cost–resource options related to various EMs for project activities as well as variants for production process implementation.FindingsThe proposed model provides the exact optimal output data for project management, such as network diagrams, Gantt charts, histograms and S-curves. In contrast to classic scheduling approaches, here the optimal project structure is obtained as a model-endogenous decision. The project planner is thus enabled to achieve optimization of the production process simultaneously with resource-constrained scheduling of activities in discrete time units and at a minimum total cost.Practical implicationsA set of application examples are addressed on an actual construction project to display the advantages of proposed model.Originality/valueThe unique value this paper contributes to the body of knowledge reflects through the proposed MINLP model, which is capable of performing the exact cost optimization of production process (where presence and number of activities including their mutual relations are dealt as feasible alternatives, meaning not as fixed parameters) simultaneously with the associated resource-constrained project scheduling, whereby that is achieved within a uniform procedure.
Evaluating environmental behaviour of the general public in Taiwan
Authors: Hsu Jane Lu , Feng Chih-Hung 
Published: July 2019

Purpose
The purpose of this paper is to examine factors influencing environmental behaviour of the general public and to develop educational implications that will enhance effectiveness in information dissemination for environmental sustainability in Taiwan.

Design/methodology/approach
A survey using personal interviews was administered in Taipei, Taichung and Kaohsiung metropolitan areas following stratified sampling method based on age and gender distributions of the population between the ages of 18 and 59 in Taiwan. Total valid samples were 481. Probit model was applied to examine factors influencing environmental behaviour.

Findings
Based on findings in the study, environmental knowledge, pro-environmental attitude (emphasising balance of nature), altruism and habitual behaviour positively influence environmental behaviour. Humancentric (emphasising human domination) negatively influence environmental behaviour. The following educational implications are capable to enlarge a spectrum of environmental behaviour in Taiwan: including topics of waste avoidance and reduction in chemical usage for cleaning or for insecticides in lessons/curricula; and promote general public to live a life which causes fewer burdens on the environment.

Research limitations/implications
Environmental education plays fundamental role in educating the public with concurrent environmental knowledge, in an expectation that the general public would take the information into consideration and modify behaviour in an effort to sustain the environment. Research implications of this study are: environmental behaviour is multidimensional and can be examined using a comprehensive set of statements including domains of energy conservation, mobility and transportation, waste avoidance, consumerism and recycling; and habitual behaviour is an influencing factor to explain environmental behaviour and can be examined thoroughly in future studies.

Originality/value
The study provides insights into environmental education based on examining factors influencing environmental behaviour. It advances the field by exploring environmental behaviour in five domains and revealing habitual behaviour as an influential factor. This allows educators to comprehend gaps in environmental behaviour and the needs for environmental education in Taiwan.
Why do employees respond to hospitality talent management
Authors: Murillo Enrique , King Ceridwyn 
Published: July 2019

PurposeIn consideration that the purpose of talent management is to attract and nurture productive employees for the benefit of the hospitality organization, this study aims to examine why employees respond in such favorable ways. Recognizing beneficial employee behavior advances a hospitality organization through their ability to deliver an experience that aligns with the promoted brand promise, inspiration is drawn from both the strategic human resource management as well as the internal brand management literature. The power of this approach is illustrated through a survey of employees of a Latin American restaurant chain with a long-standing policy of values-based recruiting, inclusive talent management and progressive people management practices.Design/methodology/approachInformed by literature, employee perception of their relationship with the organization (i.e., relationship orientation) and alignment with the brand’s values (i.e., brand fit) were considered drivers of favorable employee attitudes and behavior as a result of hospitality talent management practices. These were hypothesized to positively influence employee confidence and motivation as reflected in organization-based self-esteem (OBSE) and brand motivation, which in turn drive employee brand-aligned behavior. A survey measured the variables of interest with the same employees over two time periods, matched using employees’ identification code, resulting in 199 complete surveys. The structural model was estimated using partial least squares (PLS).FindingsRelationship orientation and brand fit were significant drivers of OBSE and brand motivation, respectively. In turn, they had a significant effect on employee brand-aligned behavior. Model estimation complied with all PLS quality criteria.Research limitations/implicationsTraditional talent management practices that tend to focus on the transactional benefits of the job/career can be strengthened by leveraging strong organizational relationships as well as engagement with the hospitality brand. In turn, employees have the confidence and motivation to exhibit brand-aligned behavior, a path to competitive advantage, which may also act as a buffer helping employees manage the stress of hospitality jobs.Originality/valueUnderstanding why employees respond favorably to hospitality talent management practices, beyond simply transactional, monetary reasons, is important to designing relevant and timely initiatives that have the potential to enhance organizational performance.
The effectiveness of the housing needs and demand
Authors: Manase David , Siamuzwe Valentah 
Published: July 2019

Purpose
Literature reveals that local authorities in Scotland are required under the Housing (Scotland) Act 2001 to undertake housing need and demand assessment. Local authorities are required to ensure that their local housing strategies are evidenced with an assessment of housing need and demand. The housing needs and demand assessment (HNDA) framework was designed to help local authorities in Scotland provide the evidence base for local strategies. Since its introduction in 2014, there is a limited literature highlighting whether or not the framework has been effective. To this end, the purpose of this study was to evaluate the effectiveness of the HNDA framework as set in Scottish local authorities; this paper aims to highlight those factors that have been effective in the framework.

Design/methodology/approach
An evaluation to asses empirically the effectiveness of the HNDA framework in Scotland was conducted. The research involved a review of literature on the current HNDA framework in Scotland. A measure of the effectiveness of the HNDA framework was conducted via a questionnaire survey to get the practitioner’s perception from 32 Scottish local authorities. This was conducted to advance specific features that have been effective in the HNDA framework. The features were then ranked in terms of their degree of effectiveness.

Findings
The research in this paper identifies initial findings cited in literature of effective factors that impact on the effectiveness of typical projects and contextualises them in the HNDA framework in Scotland, the HNDA framework having all hallmarks of a project. Results from this study identified effectiveness factors that have a greater influence on the HNDA framework’s general effectiveness. These factors include amongst others: clearly defined and detailed scope; project monitoring and control; competent and experienced project managers; and sufficient and well-allocated resources.

Research limitations/implications
By examining the factors individually, it can be stated that overall and based on literature and survey, the HNDA framework as used in Scotland has largely been successful. The success, however, is on a case by case basis. For example, those in remote-based local authorities expressed reservations on whether some of the identified effectiveness factors in the framework were effective while those in more metropolitan or larger local authorities were more upbeat with the HNDA framework.

Originality/value
No similar study has been carried out on effectiveness factors in the HNDA framework used in Scottish local authorities. The findings in this research, therefore, contribute to the literature that seeks to understand the mechanisms of an effective HNDA in general and the HNDA framework in Scotland in particular. Overall, it contributes to the housing debate by offering a Scottish perspective. The study is a precursor to the mechanism for the housing need and demand and funding success in Scotland.
An expanded holistic model of healthy workplace practices
Authors: O'Donnell Mark , Ruth-Sahd Lisa A. , Mayfield Clifton O. 
Published: July 2019

Purpose
The purpose of this paper is to test whether supportive workspace design, cultivation of high-quality leader–member relationships and vision alignment explain incremental variance in job satisfaction, work engagement and overall life satisfaction beyond antecedents identified in an earlier model of healthy workplace practices.

Design/methodology/approach
This paper reports the results of a survey study with a diverse sample of 214 employees.

Findings
In a series of regression analyses, the findings revealed that supportive workspace design, cultivation of high-quality leader–member relationships and vision alignment each explain incremental variance in one or more outcome variables (job satisfaction, work engagement and overall life satisfaction) beyond that of antecedents identified in an earlier model of healthy workplace practices.

Research limitations/implications
The present study identifies additional important variables to consider when conducting future research on healthy workplace practices. Future research could use longitudinal or experimental designs to further investigate the causal direction of the relationships identified in the present paper.

Practical implications
Managers can implement the practices identified in this paper to improve employees’ work engagement, job satisfaction and overall life satisfaction.

Social implications
This paper offers insights about how to improve employees’ lives, and thus, the potential impact is far-reaching and meaningful.

Originality/value
This paper empirically assesses workplace variables that were not included in tests of the prior healthy workplace practices model.
Towards developing a comprehensive model for describing the phenomenon of community engagement in social enterprises
Authors: Shahid Satar Mir 
Published: July 2019

PurposeThere has been a substantial realization of the importance of community engagement (CE) for social enterprise (SE) missions. However, the emerging literature on CE in social enterprises is riddled with theoretical inconsistencies and there is universal lack of studies in this direction. For the sake of advancing the field, the purpose of this paper is to identify and analyze the elements of CE in SEs. Further, a comprehensive preliminary model is developed integrating the five fundamental dimensions of CE in SE setting.Design/methodology/approachThe paper is based on the critical analysis of the extant literature across disciplines to identify the relevant themes that can affect the CE in SEs.FindingsThe paper develops a preliminary social enterprise community engagement model (SE-CEM), which results from a broad literature analysis. The proposed model attempts to offer a comprehensive perspective outlining the institutional, organizational, individual, community and process dimensions likely to predict engagement success in SE context.Originality/valueThis paper pioneers in presenting a holistic approach to understanding the dimensions that constitute CE in SEs. The SE-CEM incorporates the determinants of CE in social entrepreneurship (S-ENT) context to direct a future research agenda. The preliminary model can further be developed and empirically tested by researchers. Moreover, practitioners can also gain benefits from the model and promote S-ENT.
The experience economy: micro trends
Authors: Yeoman Ian Seymour , McMahon-Beattie Una 
Published: July 2019

Purpose
This trends paper is based upon a literature review and access to a series of databases; thus, with the help of these the purpose of this paper is to provide insight into changing consumer behaviours.

Design/methodology/approach
This paper explores how the experience economy will evolve and outlines the micro and sub-trends that will shape its future.

Findings
This paper identifies seven micro trends associated with the experience economy. The micro trends are: once is never enough, luxury experienced, leisure upgrade, escape from modernity to authenti-seeking, fluid identity, everyday exceptional and experience first.

Originality/value
This trends paper provides useful insights into the experience economy for researchers, practitioners, students or interested parties. Going beyond a broad interpretation, it focuses on specific micro trends in action.
A study of lifestyle fashion retailing in China
Authors: Chi Ting , Chen Yini 
Published: July 2019

PurposeThe purpose of this paper to examine how Chinese consumers’ perceived functional and symbolic values of lifestyle fashion stores (i.e. merchandise quality, price, convenience, emotional value, aesthetic value and social value) affect their shopping behaviors (i.e. repurchase intention (RI), impulse buying (IB) and time spent (TS)).Design/methodology/approachIn total, 223 eligible responses were collected via an online questionnaire survey. The psychometric properties of the proposed CPV-shopping behavior research model were examined, and the multiple regression method was applied to test the hypotheses.FindingsThe findings show that Chinese consumers’ RIs toward and TS in lifestyle fashion stores are determined by their perceived merchandise quality value, price value, emotional value and aesthetic value of lifestyle fashion stores. In contrast, Chinese consumers’ perceived price value and emotional value trigger their IB in the lifestyle fashion stores. The perceived values show satisfactory explanatory power for the variances of Chinese consumers’ shopping behaviors (R2=55, 50 and 49 percent for RI, IB and TS, respectively).Originality/valueA better understanding of the Chinese consumers’ shopping behaviors toward emerging lifestyle fashion stores may assist retailers in targeting China as the soon-to-be largest consumer market.