bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved Head and Neck Free Flap Outcome—Effects of a Treatment Protocol Adjustment from Pre- to Postoperative Radiotherapy
Authors: Halle Martin , Eriksson Bjorn O. , Docherty Skogh Ann-Charlott , Sommar Pehr , Hammarstedt Lalle , Gahm Caroline 
Published: March 2017

Background:
The impact of preoperative radiotherapy on microvascular reconstructive surgery outcome has been a subject of debate. However, data are conflicting and often dependent on local treatment protocols. We have studied the effects of radiotherapy in a unique, single-center setting where a treatment protocol change was undertaken from pre- to postoperative radiotherapy administration for microsurgical head and neck reconstructions.

Methods:
A cohort study was conducted for 200 consecutive head and neck free flap cases, where 100 were operated on before and 100 after the treatment protocol adjustment in 2006. Only direct cancer reconstructions were included. Complication rates of anastomosis-related (flap necrosis) and flap bed–related (infection, fistula, and wound dehiscence) complications were compared between irradiated and nonirradiated patients. A multivariate analysis was performed to correct for treatment period.

Results:
One hundred twenty-six patients had received radiotherapy before reconstruction due to cases of cancer recurrence. There were no significant differences in demographic data or risk factors between irradiated and nonirradiated cases. Irradiated cases had a higher rate of both flap loss (9.5% versus 1.4%; P = 0.034) and flap bed–related complications (29% versus 13%; P = 0.014). However, after multivariate analysis, there was only a significant relationship between preoperative irradiation and infection (odds ratio = 2.51; P = 0.033) and fistula formation (odds ratio = 3.13; P = 0.034).

Conclusions:
The current single-center study clearly indicates that preoperative radiotherapy is a risk factor for both infection and fistula formation, most likely related to an impaired flap bed. We suggest postoperative radiotherapy administration whenever possible for oncological reasons, otherwise proper antibiotic cover and meticulous flap insetting to prevent radiation-related infection and fistula formation.
High-Resolution Magnetic Resonance Imaging of Aging Upper Face Fat Compartments
Authors: Foissac Rémi , Camuzard Olivier , Piereschi Sébastien , Staccini Pascal , Andreani Olivier , Georgiou Charalambos , Benatar Marc 
Published: March 2017

Background:
Age-related changes in fat compartments have yet to be fully characterized. Uncertainty remains in terms of volume gains/losses or shape fluctuations over time. The authors’ aim was to determine the evolution of subcutaneous fat in the aging upper face, focusing on shifts in volume and dimension.

Methods:
Over the course of 4.5 years, 100 faces of living female Caucasian patients were prospectively studied using high-resolution magnetic resonance imaging. Subjects were stratified by age as follows: group 1, 18 to 30 years; group 2, 30 to 60 years; and group 3, older than 60 years. Superficial temporal and central forehead compartments were delimited, analyzing respective volumes and dimensions by group.

Results:
In 85 patients studied, superficial temporal fat (mean volume, 5.14 cm3) increased 35.48 percent in total volume between youth and old age (p = 0.046). Overall height and magnitude of the lower one-third also increased with aging. Central forehead fat (mean volume, 2.56 cm3), studied in 83 patients, showed a 209.75 percent volume gain in group 2 (versus group 1) and a 17.59 percent volume loss in group 3 (versus group 2) (p = 0.001).

Conclusion:
Subcutaneous facial fat fluctuates with aging, increasing in the upper face and promoting ptosis through basal compartmental expansion.
An Update on the Anatomy of the Forehead Compartments
Authors: Cotofana Sebastian , Mian Asima , Sykes Jonathan M. , Redka-Swoboda Wolfgang , Ladinger Andrea , Pavicic Tatjana , Schenck Thilo L. , Benslimane Fahd , Ingallina Fabio , Schlattau Alexander 
Published: March 2017

Background:
The forehead is one of the most frequent locations for neuromodulator and soft tissue filler applications; however, the underlying anatomy is still poorly understood. Thus far, the presence of deep forehead compartments has not been confirmed.

Methods:
Twenty Caucasian cephalic specimens, 15 fresh frozen (six female and nine male) and five with formalin-phenol embalmment (three female and two male) were investigated using contrast-enhanced computed tomographic scans, dye injections, and anatomical dissections.

Results:
Three superficial (one central and two lateral) and three deep (one central and two lateral) forehead compartments were identified. The superficial fat compartments were found within the subcutaneous fat tissue (layer 2) and measured 2.1 × 4.6 mm for the superficial central forehead compartments and the right superficial lateral forehead compartments and 2.6 × 3.2 cm for the left superficial lateral forehead compartments, with a mean volume of 2.5, 3.1, and 3.4 cc, respectively. The deep fat compartments were identified deep to the frontalis muscle but superficial to the periosteum with an extent of 6.4 × 5.9 cm for the deep central forehead compartments, 2.6 × 5.8 cm for the right deep lateral forehead compartments, and 2.7 × 5.8 cm for the left deep lateral forehead compartments, and a mean volume of 9.1, 1.6, and 1.4 cc, respectively.

Conclusions:
The results presented in this study increase the understanding of the forehead anatomy. Understanding the presence of the superficial and the deep forehead compartments allows one to change the signs of frontal aging. The deep forehead compartments are in general avascular planes and permit blunt dissection for access to the supraorbital region.
Decoding directional genetic dependencies through orthogonal CRISPR/Cas screens
Authors: Boettcher Michael , Tian Ruilin , Blau James , Markegard Evan , Wu David , Biton Anne , Zaitlen Noah , McCormick Frank , Kampmann Martin , McManus Michael T. 
Published: March 2017

SummaryGenetic interaction studies are a powerful approach to identify functional interactions between genes. This approach can reveal networks of regulatory hubs and connect uncharacterised genes to well-studied pathways. However, this approach has previously been limited to simple gene inactivation studies. Here, we present an orthogonal CRISPR/Cas-mediated genetic interaction approach that allows the systematic activation of one gene while simultaneously knocking out a second gene in the same cell. We have developed this concept into a quantitative and scalable combinatorial screening platform that allows the parallel interrogation of hundreds of thousands of genetic interactions. We demonstrate that the established platform works robustly to uncover genetic interactions in human cancer cells and to interpret the direction of the flow of genetic information.
Brucella abortusinduces a Warburg shift in host metabolism that is linked to enhanced intracellular survival of the pathogen
Authors: Czyż Daniel M. , Willett Jonathan , Crosson Sean 
Published: March 2017

ABSTRACTIntracellular bacterial pathogens exploit host cell resources to replicate and survive inside the host. Targeting these host systems is one promising approach to developing novel antimicrobials to treat intracellular infections. We show that human macrophage-like cells infected withBrucella abortusundergo a metabolic shift characterized by attenuated tricarboxylic acid cycle metabolism, reduced amino acid consumption, altered mitochondrial localization, and increased lactate production. This shift to an aerobic glycolytic state resembles the Warburg effect, a change in energy production that is well-described in cancer cells, and also occurs in activated inflammatory cells.B. abortusefficiently uses lactic acid as its sole carbon and energy source and requires the ability to metabolize lactate for normal survival in human macrophage-like cells. We demonstrate that chemical inhibitors of host glycolysis and lactate production do not affectin vitrogrowth ofB. abortusin axenic culture, but decrease its survival in the intracellular niche. Our data support a model in which infection shifts host metabolism to a Warburg-like state, andB. abortususes this change in metabolism to promote intracellular survival. Pharmacological perturbation of these features of host cell metabolism may be a useful strategy to inhibit infection by intracellular pathogens.IMPORTANCEBrucellaspp. are intracellular bacterial pathogens that cause disease in a range of mammals, including livestock. Transmission from livestock to humans is common and can lead to chronic human disease. Human macrophage-like cells infected withBrucella abortusundergo a Warburg-like metabolic shift to an aerobic glycolytic state where the host cells produce lactic acid and have reduced amino acid catabolism. We provide evidence that the pathogen can exploit this change in host metabolism to support growth and survival in the intracellular niche. Drugs that inhibit this shift in host cell metabolism inhibit intracellular replication and decrease the survival ofB. abortusin anin vitroinfection model; these drugs may be broadly useful therapeutics for intracellular infections.
UpSetR: An R Package for the Visualization of Intersecting Sets and their Properties
Authors: Conway Jake R , Lex Alexander , Gehlenborg Nils 
Published: March 2017

AbstractVenn and Euler diagrams are a popular yet inadequate solution for quantitative visualization of set intersections. A scalable alternative to Venn and Euler diagrams for visualizing intersecting sets and their properties is needed. We developed UpSetR, an open source R package that employs a scalable matrix-based visualization to show intersections of sets, their size, and other properties. UpSetR is available athttps://cran.r-project.org/package=UpSetRand released under the MIT License. A Shiny app is available athttps://gehlenborglab.shinyapps.io/upsetr/.
Physical activity phenotyping with activity bigrams, and their association with BMI
Authors: Millard Louise AC , Tilling Kate , Lawlor Debbie A , Flach Peter A , Gaunt Tom R 
Published: March 2017

ABSTRACTBackgroundAnalysis of physical activity usually focuses on a small number of summary statistics derived from accelerometer recordings: average counts per minute, and the proportion of time spent in moderate-vigorous physical activity or in sedentary behaviour. We show how bigrams, a concept from the field of text mining, can be used to describe how a person’s activity levels change across (brief) time points. These variables can, for instance, differentiate between two people with the same time in moderate activity, where one person often stays in moderate activity from one moment to the next and the other does not.MethodsWe use data on 4810 participants of the Avon Longitudinal Study of Parents and Children (ALSPAC). We generate a profile of bigram frequencies for each participant and test the association of each frequency with body mass index (BMI), as an exemplar.ResultsWe found several associations between changes in bigram frequencies and BMI. For instance, a 1 standard deviation decrease in the number of adjacent minutes in sedentary then moderate activity (or vice versa), with a corresponding increase in the number of adjacent minutes in moderate then vigorous activity (or vice versa), was associated with a 2.36 kg/m2lower BMI [95% CI: -3.47, -1.26], after accounting for the time spent at sedentary, low, moderate and vigorous activity.ConclusionsActivity bigrams are novel variables that capture how a person’s activity changes from one moment to the next. These variables can be used to investigate how sequential activity patterns associate with other traits.Key MessagesEpidemiologists typically use only a small number of variables to analyse the association of physical activity with other traits, such as the average counts per minute and the proportion of time spent in moderate-vigorous physical activity or being sedentary.We demonstrate how activity bigrams can be used as a set of interpretable variables describing how a person’s activity levels change from one moment to the next.Testing the association of activity bigrams with exposures or outcomes can help us gain further understanding of how physical activity is associated with other traits; with further research they might provide evidence for more refined public health advice.
The structure of plant spatial association networks increases plant diversity in global drylands
Authors: Saiz H. , Gómez-Gardeñes J. , Borda J.P. , Maestre F.T. 
Published: March 2017

AbstractAimDespite their widespread use and value to unveil the complex structure of the interactions within ecological communities and their value to assess the resilience of communities, network analyses have seldom been applied in plant communities. We aim to evaluate how plant-plant interaction networks vary in global drylands, and to assess whether network structure is related to plant diversity in these ecosystems.Location185 dryland ecosystems from all continents except Antarctica.MethodsWe built networks using the local spatial association between all the perennial plant species present in the communities studied, and used structural equation models to evaluate the effect of abiotic factors (including geography, topography, climate and soil conditions) and network structure on plant diversity.ResultsThe structure of plant networks found at most study sites (72%) was not random and presented properties representative of robust systems, such as high link density and structural balance. Moreover, network indices linked to system robustness had a positive and significant effect on plant diversity, sometimes higher that the effect of abiotic factors.Main conclusionsOur results constitute the first empirical evidence showing the existence of a common network architecture structuring terrestrial plant communities at the global scale, and provide novel evidence of the importance of the network of interactions for the maintenance of biodiversity. Furthermore, they highlight the importance of system-level approaches to explain the diversity and structure of interactions in plant communities, two major drivers of terrestrial ecosystem functioning and resilience against the likely impacts derived from global change.
Correcting for cell-type heterogeneity in epigenome-wide association studies: premature analyses and conclusions
Authors: Zheng Shijie C , Beck Stephan , Jaffe Andrew E. , Koestler Devin C. , Hansen Kasper D. , Houseman Andres E. , Irizarry Rafael A. , Widschwendter Martin , Teschendorff Andrew E. 
Published: March 2017

AbstractRecently, a study by Rahmani et al [1] claimed that a reference-free cell-type deconvolution method, called ReFACTor, leads to improved power and improved estimates of cell-type composition compared to competing reference-free and reference-based methods in the context of Epigenome-Wide Association Studies (EWAS). However, we identified many critical flaws (both conceptual and statistical in nature), which seriously question the validity of their claims. We outlined constructive criticism in a recent correspondence letter, Zheng et al [2]. The purpose of this letter is two-fold. First, to present additional analyses, which demonstrate that our original criticism is statistically sound. Second, to highlight additional serious concerns, which Rahmani et al have not yet addressed. In summary, we find that ReFACTor has not been demonstrated to outperform state-of-the-art reference-free methods such as SVA or RefFreeEWAS, nor state-of-the-art reference-based methods. Thus, the claim by Rahmani et al (a claim reiterated in their recent response letter [3]) that ReFACT or represents an advance over the state-of-the-art is not supported by an objective and rigorous statistical analysis of the data.
Gene expression stasis and plasticity following migration into a foreign environment
Authors: Lohman Brian K. , Stutz William E. , Bolnick Daniel I. 
Published: March 2017

AbstractSelection against migrants is key to maintaining genetic differences between populations linked by dispersal. Yet, migrants are not just passively weeded out by selection. Migrants may mitigate fitness costs by proactively choosing among available habitats, or by phenotypic plasticity. We previously reported that a reciprocal transplant of lake and stream stickleback (Gasterosteus aculeatus) found little support for divergent selection. We revisit that experiment to test whether phenotypic plasticity in gene expression may have helped migrants adjust to unfamiliar habitats. We measured gene expression profiles in stickleback via TagSeq and tested whether migrants between lake and stream habitats exhibited a plastic response to their new environment that allowed them to converge on the expression profile of adapted natives. We report extensive gene expression differences between genetically divergent lake and stream stickleback, despite gene flow. But for many genes, expression was highly plastic. Fish transplanted into the adjoining habitat partially converged on the expression profile typical of their new habitat. This suggests that expression plasticity may soften the impact of migration. Nonetheless, lake and stream fish differed in survival rates and parasite infection rates in our study, implying that expression plasticity is not fast or extensive enough to fully homogenize fish performance.
Work-based learning as a catalyst for sustainability: a review and prospects
Authors: Wall Tony , Hindley Ann , Hunt Tamara , Peach Jeremy , Preston Martin , Hartley Courtney , Fairbank Amy 
Published: March 2017

Purpose
The purpose of this paper is to highlight the continuing dearth of scholarship about the role of work-based learning in education for sustainable development, and particularly the urgent demands of climate literacy. It is proposed that forms of work-based learning can act as catalysts for wider cultural change, towards embedding climate literacy in higher education institutions.

Design/methodology/approach
This paper draws data from action research to present a case study of a Climate Change Project conducted through a work-based learning module at a mid-sized university in the UK.

Findings
Contrary to the predominantly fragmented and disciplinary bounded approaches to sustainability and climate literacy, the case study demonstrates how a form of work-based learning can create a unifying vision for action, and do so across multiple disciplinary, professional service, and identity boundaries. In addition, the project-generated indicators of cultural change including extensive faculty-level climate change resources, creative ideas for an innovative mobile application, and new infrastructural arrangements to further develop practice and research in climate change.

Practical implications
This paper provides an illustrative example of how a pan-faculty work-based learning module can act as a catalyst for change at a higher education institution.

Originality/value
This paper is a contemporary call for action to stimulate and expedite climate literacy in higher education, and is the first to propose that certain forms of work-based learning curricula can be a route to combating highly bounded and fragmented approaches, towards a unified and boundary-crossing approach.
The impact of leadership on trust, knowledge management, and organizational performance
Authors: Koohang Alex , Paliszkiewicz Joanna , Goluchowski Jerzy 
Published: March 2017

PurposeThe purpose of this paper is to build a research model that examines the impact of leadership on trust, knowledge management and organizational performance.Design/methodology/approachAn instrument containing six constructs (leadership: leading organization; leadership: leading people; leadership: leading self, trust, knowledge management and organizational performance) was designed and administered to subjects from all levels of management in various organizations in nine regions of the USA. Collected data were analyzed using partial least squares path modeling to test the hypotheses.FindingsThe study’s findings revealed positive and significant linear connection among leadership (leading organization, leading people and leading self), trust, knowledge management and organizational performance.Practical implicationsThe findings imply that effective leadership (leading organization, leading people and leading self) contributes to elevated trust among people, promotes the successful implementation of knowledge management processes, and in turn enhances organizational performance. Therefore, leadership training and development must be a top strategic priority for any organization.Originality/valueThis study enriches the literature by demonstrating that effective leadership stands as the bedrock of the elevated trust, the successful knowledge management processes and the enhanced organizational performance.
An updated and expanded assessment of PLS-SEM in information systems research
Authors: Hair Joe , Hollingsworth Carole L. , Randolph Adriane B. , Chong Alain Yee Loong 
Published: March 2017

Purpose
Following the call for awareness of accepted reporting practices by Ringle, Sarstedt, and Straub in 2012, the purpose of this paper is to review and analyze the use of partial least squares structural equation modeling (PLS-SEM) in Industrial Management & Data Systems (IMDS) and extend MIS Quarterly (MISQ) applications to include the period 2012-2014.

Design/methodology/approach
Review of PLS-SEM applications in information systems (IS) studies published in IMDS and MISQ for the period 2010-2014 identifying a total of 57 articles reporting the use of or commenting on PLS-SEM.

Findings
The results indicate an increased maturity of the IS field in using PLS-SEM for model complexity and formative measures and not just small sample sizes and non-normal data.

Research limitations/implications
Findings demonstrate the continued use and acceptance of PLS-SEM as an accepted research method within IS. PLS-SEM is discussed as the preferred SEM method when the research objective is prediction.

Practical implications
This update on PLS-SEM use and recent developments will help authors to better understand and apply the method. Researchers are encouraged to engage in complete reporting procedures.

Originality/value
Applications of PLS-SEM for exploratory research and theory development are increasing. IS scholars should continue to exercise sound practice by reporting reasons for using PLS-SEM and recognizing its wider applicability for research. Recommended reporting guidelines following Ringle et al. (2012) and Gefen et al. (2011) are included. Several important methodological updates are included as well.