bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fresh Snowfall Microbiology and Chemistry are Driven by Geography in Storm-Tracked Events
Authors: A. S. Honeyman , M.L. Day , J.R. Spear 
Published: April 2018

AbstractSnowfall is a global phenomenon highly integrated with hydrology and ecology. Forays into studying bioaerosols and their dependence on aeolian movement are largely constrained to either precipitation-independent analyses orin-silicomodels. Though snowpack and glacial microbiological studies have been conducted, little is known about the biological component of meteoric snow. Through culture-independent phylogenetic and geochemical analyses, we show that the geographical location at which snow precipitates determines snowfall’s geochemical and microbiological composition. Storm-tracking, furthermore, can be used as a valuable environmental indicator to trace down what factors are influencing bioaerosols. We estimate annual deposits of up to ~10 kg of bacterial / archaeal biomass per hectare along our study area of the eastern Front Range in Colorado. The dominant kinds of microbiota captured in an analysis of seven snow events at two different locations, one urban, one rural, across the winter of 2016/2017 included phylaProteobacteria,Bacteroidetes,FirmicutesandAcidobacteria, though a multitude of different kinds of organisms were found in both. Taxonomically,Bacteroideteswere more abundant in Golden (urban plain) snow whileProteobacteriawere more common in Sunshine (rural mountain) samples. Chemically, Golden snowfall was positively correlated with some metals and anions. The work also hints at better informing the ‘everything is everywhere’ hypotheses of the microbial world and that atmospheric transport of microbiota is not only common, but is capable of disseminating vast amounts of microbiota of different physiologies and genetics that then affect ecosystems globally. Snowfall, we conclude, is a significant repository of microbiological material with strong implications for both ecosystem genetic flux and general bio-aerosol theory.ImportanceSnowfall is commonplace to the temperate and polar regions of the world. As an interface between the atmosphere, hydrosphere and earth, snow is responsible for high annual deposits of moisture globally, and, can serve as a ‘water bank’ in the form of both permanent snow fields and glaciers. Essential to general ecosystem function, snow can also be considered a transporter of aerosolized material. Given the magnitude of microbiota deposited by snowfall, which we report, it is likely that biological material within snowfall, with its geochemical underpinning— and the associated genetic banks—have significant downstream ecological effects.Understanding what is contained in snowfall becomes especially urgent in a warming climate where high-impact meteorological and ecological changes are imminent and likely. With climate-induced changes to snowfall patterns, surface ecosystems are likely to be impacted by ensuing changes in microbiota deposition. Thus, the ecosystem function of soils, rock and surface waters are also likely to be impacted; these changes, in turn, greatly influence agriculture, weathering and infrastructure.
Optimum Search Schemes for Approximate String Matching Using Bidirectional FM-Index
Authors: Kianfar Kiavash , Pockrandt Christopher , Torkamandi Bahman , Luo Haochen , Reinert Knut 
Published: April 2018

AbstractFinding approximate occurrences of a pattern in a text using a full-text index is a central problem in bioinformatics and has been extensively researched. Bidirectional indices have opened new possibilities in this regard allowing the search to start from anywhere within the pattern and extend in both directions. In particular, use of search schemes (partitioning the pattern and searching the pieces in certain orders with given bounds on errors) can yield significant speed-ups. However, finding optimal search schemes is a difficult combinatorial optimization problem.Here for the first time, we propose a mixed integer program (MIP) capable to solve this optimization problem for Hamming distance with given number of pieces. Our experiments show that the optimal search schemes found by our MIP significantly improve the performance of search in bidirectional FM-index upon previous ad-hoc solutions. For example, approximate matching of 101-bp Illumina reads (with two errors) becomes 35 times faster than standard backtracking. Moreover, despite being performed purely in the index, the running time of search using our optimal schemes (for up to two errors) is comparable to the best state-of-the-art aligners, which benefit from combining search in index with in-text verification using dynamic programming. As a result, we anticipate a full-fledged aligner that employs an intelligent combination of search in the bidirectional FM-index using our optimal search schemes and in-text verification using dynamic programming that will outperform today’s best aligners. The development of such an aligner, called FAMOUS (Fast Approximate string Matching using OptimUm search Schemes), is ongoing as our future work.
Trypanosomes have divergent kinesin-2 proteins that function differentially in IFT, cell division, and motility
Authors: Douglas Robert L. , Haltiwanger Brett M. , Wu Haiming , Jeng Robert L. , Mancuso Joel , Cande W. Zacheus , Welch Matthew D. 
Published: April 2018

SummaryTrypanosoma brucei, the causative agent of African sleeping sickness, has a flagellum that is crucial for motility, pathogenicity, and viability. In most eukaryotes, the intraflagellar transport (IFT) machinery drives flagellum biogenesis, and anterograde IFT requires kinesin-2 motor proteins. In this study, we investigated the function of the twoT. bruceikinesin-2 proteins, TbKin2a and TbKin2b, in bloodstream form trypanosomes. We found that compared to other kinesin-2 proteins, TbKin2a and TbKin2b show greater variation in neck, stalk, and tail domain sequences. Both kinesins contributed additively to flagellar lengthening. Surprisingly, silencing TbKin2a inhibited cell proliferation, cytokinesis and motility, whereas silencing TbKin2b did not. TbKin2a was localized on the flagellum and colocalized with IFT components near the basal body, consistent with it performing a role in IFT. TbKin2a was also detected on the flagellar attachment zone, a specialized structure in trypanosome cells that connects the flagellum to the cell body. Our results indicate that kinesin-2 proteins in trypanosomes play conserved roles in IFT and exhibit a specialized localization, emphasizing the evolutionary flexibility of motor protein function in an organism with a large complement of kinesins.
New capabilities in high-resolution neutron Larmor diffraction at ORNL
Authors: Li Fankang , Feng Hao , Thaler Alexander N. , Parnell Steven R. , Crow Lowell , Matsuda Masaaki , Ye Feng , Kimura Tsuyoshi , Fernandez-Baca Jaime A. , Pynn Roger 
Published: April 2018

Using superconducting magnetic Wollaston prisms, high-resolution neutron Larmor diffraction has been implemented at the High-Flux Isotope Reactor of Oak Ridge National Laboratory (ORNL), Tennesse, USA. This technique allows the inverse relationship between the achievable diffraction resolution and the usable neutron flux to be overcome. Instead of employing physically tilted radio-frequency spin flippers, the method uses magnetic Wollaston prisms which are electromagnetically tuned by changing the field configurations in the device. As implemented, this method can be used to measure lattice-spacing changes induced, for example, by thermal expansion or strain with a resolution of Δd/d ≃ 10−6, and the splitting of sharp Bragg peaks with a resolution of Δd/d = 3 × 10−4. The resolution for discerning a change in the profile of a Bragg peak is Δd/d < 10−5. This is a remarkable degree of precision for a neutron diffractometer as compact as the one used in this implementation. Higher precision could be obtained by implementing this technique in an instrument with a larger footprint. The availability of this technique will provide an alternative when standard neutron diffraction methods fail and will greatly benefit the scientific communities that require high-resolution diffraction measurements.
Toward improved LCC-informed decisions in building management
Authors: Salvado Filipa , Almeida Nuno Marques de , Vale e Azevedo Alvaro 
Published: April 2018

PurposeStakeholders of the Architecture, Engineering and Construction (AEC) sector require information on the buildings economic performance throughout its life cycle. This information is neither readily available nor always accurate because building management (BM) professionals still face difficulties to fully incorporate the life cycle cost (LCC) concept into their daily practice. The purpose of this paper is to identify and contribute to solving these difficulties.Design/methodology/approachThis paper provides a background knowledge review and set the ground for a structured research roadmap and a management framework that highlight the links and limitations to be addressed within and between LCC and BM. A six-stage method was used for developing conceptual frameworks targeting six goals: establishing a point of departure; mapping sources of information; literature research; notion deconstruction and conceptual categorization; overview of the applicable background knowledge; and structuring of a framework for LCC-informed decisions in BM.FindingsManagement solutions for the built context are necessarily connected with LCC and BM current concepts such as asset management, project, program and portfolio management, facility management and data management. These management approaches highlight the importance of incorporating life cycle concepts and promote LCC effective application within the AEC sector.Originality/valueThis paper identifies and discusses current limitations on the information availability for the economic performance of buildings throughout its life cycle. This work also identifies LCC-related topics that need to be further explored or addressed by both the scientific community and practitioners to overcome these limitations and facilitate the integration of the LCC concept into BM activities.
A cluster analysis of tourist attractions in Spain
Authors: Lascu Dana-Nicoleta , Manrai Lalita A. , Manrai Ajay K. , Gan Allison 
Published: April 2018

Purpose
Natural and cultural tourism are important motivators for international tourism. Spain has impressive tourist attractions that are outstanding on the natural and cultural tourism dimensions. The purpose of this paper is to identify traits of the most attractive destinations in Spain and to understand the relative importance of natural, cultural, and dual (natural and cultural) attractions to target consumers.

Design/methodology/approach
The authors compare the level of tourism in the 17 major regions of Spain and identify the key natural, cultural, and dual attractions using a two-step cluster analysis to ascertain the relative importance of the three types of attractions.

Findings
The findings of the cluster analysis suggest that natural attractions had the highest importance, followed by dual attractions, with cultural attractions having the lowest importance in affecting the level of tourism in a region. The study identified four categories of regions resulting from “high vs low” total number of attractions by “high vs low” levels of tourism (operationalized via the number of tourist-nights). The regions with high levels of tourism were either located in the bodies of water (a group of islands) or on ocean/sea(s) surrounding Spain. The study suggests placing greater emphasis on promoting cultural attractions in Spain.

Practical implications
The findings suggest that there is a need to put more emphasis on promoting the cultural attractions in Spain. Spain is a diverse country with huge potential for tourism from people all over the world, due to its diverse geography and rich history.

Originality/value
To the best of the authors’ knowledge, this is the first study that analyzes 17 regions of Spain in relation to their tourism characteristics, identifying attractions that are not sufficiently leveraged, and suggesting strategies for identifying opportunities for the tourism industry in Spain.
Reinterpreting Fisher’s coordinated strategies: a longitudinal case study
Authors: Stratton Roy 
Published: April 2018

PurposeMuch has been written about the need to align the supply chain with the product/market but it has proved, elusive especially in response to a supply change transitions. The purpose of this paper is to review the established theoretical models before considering how the realignment process can be better supported in the light of a longitudinal study.Design/methodology/approachThis paper uses a single apparel case where data were gathered over a five-year period involving multiple site visits, management interviews and archival data across three echelons of the supply chain. Repeated visits enabled the collection of contemporary evidence and the development and testing of the causal relationships. This case was part of a multi-case research project that explored the causal relationship between variation, uncertainty, performance trade-offs and buffering mechanisms (time, capacity and inventory).FindingsThe case analysis demonstrates how established theory and causal reasoning can be used to explain the trade-off oscillations that characterised this case. As with earlier studies, local cost considerations predominated, interspersed with strategic countermeasures. Fisher’s (1997) concept of coordinated strategies is shown to provide an effective means of clarifying the trade-off implications of the transition in support of proactive realignment. This concept is discussed in relation to other cases and literature before proposing how this could be developed and used as a basis for further research.Research limitations/implicationsThis research was limited to a single case and although this involving several transitions the findings require further testing.Practical implicationsSupply chain redesign is of growing importance and with it the need to more effectively manage such transitions. This paper clarifies the need for supply chain orientation and offers means of clarifying the implications of such transitions to management.Originality/valueThis paper provides case evidence of the underlying operations management issues and the associated analysis.
Business logistics models in omni-channel: a classification framework and empirical analysis
Authors: Marchet Gino , Melacini Marco , Perotti Sara , Rasini Monica , Tappia Elena 
Published: April 2018

Purpose
Companies are currently moving from multi-channel strategies to offer their customers an omni-channel (OC) experience. So far, OC research has been mainly tackled from a sales-based view, with numerous operational challenges to be fully investigated yet. The purpose of this paper is to investigate how companies set the logistics variables in their OC management strategy and the business logistics models currently most adopted.

Design/methodology/approach
A two-step methodology was adopted. First, a systematic combining approach with scientific literature review and case studies allowed to derive a framework for classifying the key logistics variables and the related options. The framework was then used to conduct a qualitative survey targeting 92 Italian companies operating in food manufacturing, food retailing and non-food retailing. Collected data were analysed by means of cluster analysis.

Findings
Implementing an OC management strategy requires to set 11 logistics variables belonging to four strategic areas: delivery service, distribution setting, fulfilment strategy and returns management. A broad empirical investigation showed the choices made by companies when setting the logistics variables to implement an OC management strategy. Lastly, four business logistics models, differing in terms of both business sector and OC maturity, were discussed.

Originality/value
The proposed framework extends earlier studies by including additional significant logistics variables. The empirical analysis provides new insights on how to re-structure the business logistics model in OC, suggesting channel integration and the coexistence of multiple configurations as main enablers of an OC proposition.
Integration of a text mining approach in the strategic planning process of small and medium-sized enterprises
Authors: Vásquez Rojas Claudia , Roldán Reyes Eduardo , Aguirre y Hernández Fernando , Cortés Robles Guillermo 
Published: April 2018

Purpose
Strategic planning (SP) enables enterprises to plan management and operations activities efficiently in the medium and large term. During its implementation, many processes and methods are manually applied and may be time consuming. The purpose of this paper is to introduce an automatic method to define strategic plans by using text mining (TM) algorithms within a generic SP model especially suited for small- and medium-sized enterprises (SMEs).

Design/methodology/approach
Textual feedbacks were collected through a SWOT matrix during the implementation of a SP model in a company dedicated to the local distribution of food. A four-step TM process (performing acquisition, pre-processing, processing, and validation tasks) is applied via a framework developed under the cloud computer paradigm in order to determine the strategic plans.

Findings
The use of categorization and clustering algorithms show that unstructured textual information produced during the SP can be efficiently processed and capitalized. Collected evidence reveals the potential to enhance the strategic plans creation with less effort and time, improving the relevance, and producing new technological resources accessible to SMEs.

Originality/value
An innovative framework especially suited for the SMEs based on the synergy assumption of the coupling between TM and a generic SP model.
Service supply chain integration: the role of interpersonal relationships
Authors: Wang Bill , Kang Yuanfei , Childerhouse Paul , Huo Baofeng 
Published: April 2018

PurposeThe purpose of this paper is to explore the role of interpersonal relationships (IPRs) in service supply chain integration (SSCI) in terms of strategic alliance, information integration, and process integration.Design/methodology/approachThe research employs an exploratory/investigational approach to multiple case studies and empirically investigates effects of IPRs in SSCI. The data were mainly collected through semi-structured interviews with senior management staff from four service companies and their suppliers or customers in New Zealand. Archival data from the Internet and company documentations were also applied.FindingsThe authors find that three dimensions of IPRs influence SSCI in different ways. The effect of IPRs on SSCI is indirect: personal affection acts as an initiator, and personal credibility works as a “gate-keeper” and strengthens the confidence of interactive partners, while personal communication, a facilitator, plays a more important role in SSCI than personal affection and credibility.Practical implicationsThe research provides managers in service supply chains the awareness of the importance of IPRs, as well as the characteristics of IPRs, in order to best utilize available resources. Managers should synergize all three dimensions of IPRs’ resources: make efforts to cultivate personal affection to avoid the instinctive isolation modern technology brings; attempt to accumulate positive personal credibility profiles; focus more on the role of personal communication and retain physical contact in SSCI processes.Originality/valueThis study contributes to SSCI literature by extending from the inter-organizational relationships (IORs) to interpersonal level relationships to explore the inner influence mechanism. Also, it explores the role of IPRs on all three dimensions of SSCI simultaneously rather than individual dimensions independently. Finally, it contributes to resource orchestration theory (ROT) by synthesizing three dimensions of IPRs resources, and IORs resources in order to achieve capabilities of SSCI. The study develops the individual-level research in supply chain integration (SCI) to a further depth.
Co-query volume as a proxy for brand relatedness
Authors: Cho Sulah 
Published: April 2018

PurposeThe purpose of this paper is to utilize co-query volumes of brands as relatedness measurement to understand the market structure and demonstrate the usefulness of brand relatedness via a real-world case.Design/methodology/approachUsing brand relatedness measurement obtained using data from Google Trends as data inputs into a multidimensional scaling method, the market structure of the automobile industry is presented to reveal its competitive landscape. The relatedness with brands involved in product-harm crisis is further incorporated in empirical models to estimate the influence of crisis on future sales performance of each brand. A representative incident of a product-harm crisis in the automobile industry, which is the 2009 Toyota recall, is investigated. A panel regression analysis is conducted using US and world sales data.FindingsThe use of co-query as brand relatedness measurement is validated. Results indicate that brand relatedness with a brand under crisis is positively associated with future sales for both US and global market. Potential presence of negative spillovers from an affected brand to innocent brands sharing common traits such as same country of origin is shown.Originality/valueThe brand relatedness measured from co-query volumes is considered as a broad concept, which encompasses all associative relationships between two brands perceived by the consumers. This study contributes to the literature by clarifying the concept of brand relatedness and proposing a measure with readily accessible data. Compared to previous studies relying on a vast amount of online data, the proposed measure is proven to be efficient and enhance predictions about the future performance of brands in a turbulent market.
Identifying and recommending user-interested attributes with values
Authors: Cheng Yun-Shan , Hsu Ping-Yu , Liu Yu-Chin 
Published: April 2018

PurposeTo retain consumer attention and increase purchasing rates, many e-commerce vendors have adopted content-based recommender systems. However, apart from text-based documents, there is little theoretical background guiding element selection, resulting in a limited content analysis problem. Another inherent problem is overspecialization. The purpose of this paper is to establish a value-based recommendation methodology for identifying favorable attributes, benefits, and values on the basis of means-end chain theory. The identified elements and the relationships between them were utilized to construct a recommender system without incurring either problem.Design/methodology/approachThis study adopted soft laddering and content analysis to collect popular elements. The relationships between the elements were established by using a hard laddering online questionnaire. The elements and the relationships were utilized to build a hierarchical value map (HVM). A mathematical model was then devised on the basis of the HVM to predict user preferences of attributes.FindingsThe results of a performance comparison showed that the proposed method outperformed the content-based attribute recommendation method and a hybrid method by 39 and 68 percent, respectively.Originality/valueAlthough hybrid methods have been proposed to resolve the problem of overspecialization in content-based recommender systems, such methods have incurred “cold start” and “sparsity” problems. The proposed method can provide recommendations without causing these problems while outperforming the content-based and hybrid approaches.