bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relationship of chronic rhinosinusitis and depression
Authors: Smith Kristine A. , Alt Jeremiah A. 
Published: December 2019

Purpose of review
The aim of this article is to identify and describe the relationship between chronic rhinosinusitis (CRS) and comorbid depression, including the patient factors that may increase the risk of depression. The impact of comorbid depression on quality of life, response to treatment and healthcare utilization will also be assessed.

Recent findings
CRS is associated with a significantly increased prevalence of depression, where 9–26% of patients with CRS will have physician-diagnosed depression. An additional 40% will have undiagnosed depression that can be identified through screening tools. Patients without polyps are more likely to experience comorbid depression, as are patients with significant sleep dysfunction, olfactory dysfunction, and pain. CRS symptoms do improve with medical and surgical therapy in depressed patients, though baseline and posttreatment scores are worse. A similar degree of benefit from therapy is seen in both depressed and nondepressed patients. CRS treatment does seem to improve depression, whereas the effect of depression specific therapy is unknown. Depressed patients have a significantly larger economic burden because of their increased healthcare utilization and productivity losses.

Summary
Depression is a highly prevalent and impactful comorbidity in patients with CRS. Increased awareness of this relationship may improve patients’ overall quality of care.
Online interventions for sexual health in cancer
Authors: Matthew Andrew G. , Yang Zhiyong G. 
Published: December 2019

Purpose of review
Recent advances in digital healthcare, combined with the increasing appreciation for the need for sexual health programming in cancer, has established a zeitgeist for further development of digital health interventions for sexual health in cancer. Developers of digital health interventions should consider two equally important factors: efficacy of the intervention, and participant engagement. This review describes the status of digital health interventions in sexual health within the oncology setting.

Recent findings
Sexual dysfunction and related psychological distress affecting patients and their partners is recognized as a significant survivorship care need in the oncology setting. Provision of care is challenged by traditional approaches to disease follow-up, and limited healthcare resources. Digital health interventions may offer efficient, accessible, and scalable care pathways. Digital health innovation in cancer survivorship and sexual health indicates trends toward efficacy, yet patient engagement remains a challenge. Implementation of established online patient engagement approaches are recommended.

Summary
Studies to date may underestimate the potential of digital health interventions in sexual health and cancer due to poor patient engagement. Developers of digital health intervention will benefit from effort in employing engagement strategies and engagement-efficacy analysis.
Bacterial lipopolysaccharide induces settlement and metamorphosis in a marine larva
Authors: Freckelton Marnie L. , Nedved Brian T. , Cai You-Sheng , Cao Shugeng , Turano Helen , Alegado Rosanna A. , Hadfield Michael G. 
Published: December 2019

AbstractHow larvae of the many phyla of marine invertebrates find places appropriate for settlement, metamorphosis, growth and reproduction is an enduring question in marine science. Biofilm induced metamorphosis has been observed in marine invertebrate larvae from nearly every major marine phylum. Despite the widespread nature of this phenomenon the mechanism of induction remains poorly understood. The serpulid polychaeteHydroides elegansis a well-established model for investigating bacteria-induced larval development. A broad range of biofilm bacterial species elicit larval metamorphosis inH. elegansvia at least two mechanisms, including outer membrane vesicles and phage-tail bacteriocins. We investigated the interaction between larvae ofH. elegansand the inductive bacteriumCellulophaga lytica, which produces an abundance of OMVs but not phage-tail bacteriocins. We asked whether the OMVs ofC. lyticainduce larval settlement due to cell membrane components or through delivery of specific cargo. Employing a biochemical structure-function approach with a strong ecological focus, the cells and outer membrane vesicles produced byC. lyticawere interrogated to determine the nature of the inductive molecule. Here we report that the cue produced byC. lyticathat induces larvae ofH. elegansto metamorphose is lipopolysaccharide (LPS). The widespread prevalence of LPS and its associated taxonomic and structural variability suggest it may be a broadly employed cue for bacterially induced larval settlement of marine invertebrates.Significance StatementNew surfaces in the sea are quickly populated by dense communities of invertebrate animals, whose establishment and maintenance require site-specific settlement of larvae from the plankton. Although it is recognized that larvae selectively settle in sites where they can metamorphose and thrive, and that the biofilm bacteria residing on these surfaces supply inductive cues, the nature of the cues used to identify ‘right places’ has remained enigmatic. In this paper, we reveal that lipopolysaccharide (LPS) from the outer membrane of a marine Gram-negative bacterium cue metamorphosis for a marine worm and discuss the likelihood that LPS provides the variation necessary to explain settlement site selectivity for many of the bottom-living invertebrate animals that metamorphose in response to bacterial biofilms.
Spatial organization of the mouse chromosomes influences the landscape of intrachromosomal exchange aberration breakpoints
Authors: Eidelman Y.A. , Salnikov I.V. , Slanina S.V. , Andreev S.G. 
Published: November 2019

AbstractHow 3D chromosome organization affects chromosomal aberrations is an important unresolved question in cell and radiation biology. In interphase the chromosomes form territories where chromatin folds into quite heterogeneous states. The mechanisms determining the spectrum of chromosome conformations remain poorly understood. We introduced the polymer model of mouse chromosome and generated the ensemble of 3D conformations. The chromosome model was validated against independent Hi-C (high-throughput chromosome conformation capture) data. The model described well Hi-C contact heatmap for chromosome 18 in pro-B mouse cells, both ATM-deficient and wild-type. We used the chromosome model to assess the role of chromosome structure in breakpoint distribution for intrachromosomal exchange aberrations. We investigated the effect of elevated frequency of breakpoints outside of the region of enzymatic breaksite. Chromosome aberration model explained breakpoint distribution under recurrent and ionizing radiation-induced DNA double-strand breaks in mouse chromosome 18 on the basis of contact-first mechanism. Overall, our results provide a framework for assessment of role of chromosome 3D organization on chromosome aberrations following DNA damage of different origin.
Estimating animal density in three dimensions using capture-frequency data from remote detectors
Authors: Vargas Soto Juan S. , Castañeda Rowshyra A. , Mandrak Nicholas E. , Molnár Péter K. 
Published: November 2019

AbstractRemote detectors are being used increasingly often to study aquatic and aerial species, for which movement is significantly different from terrestrial species. While terrestrial camera-trapping studies have shown that capture frequency, along with the species’ movement speed and detector specifications can be used to estimate absolute densities, the approach has not yet been adapted to cases where movement occurs in three dimensions. Frameworks based on animal movement patterns allow estimating population density from camera-trapping data when animals are not individually distinguishable.Here we adapt one such framework to three-dimensional movement to characterize the relationship between population density, animal speed, characteristics of a remote sensor’s detection zone, and detection frequency. The derivation involves defining the detection zone mathematically and calculating the mean area of the profile it presents to approaching individuals.We developed two variants of the model – one assuming random movement of all individuals, and one allowing for different probabilities for each approach direction (e.g. that animals more often swim/fly horizontally than vertically). We used computer simulations to evaluate model performance for a wide range of animal and detector densities. Simulations show that in ideal conditions the method approximates true density well, and that estimates become increasingly accurate using more detectors, or sampling for longer. Moreover, the method is robust to invalidation of assumptions, accuracy is decreased only in extreme cases where all detectors are facing the same way.We provide equations for estimating population density from detection frequency and outline how to estimate the necessary parameters. We discuss how environmental variables and species-specific characteristics affect parameter estimates and how to account for these differences in density estimations.Our method can be applied to common remote detection methods (cameras and acoustic detectors), which are currently being used to study a diversity of species and environments. Therefore, our work may significantly expand the number and diversity of species for which density can be estimated.
Molecular mechanisms behind global distribution of earthworm revealed by the genome
Authors: Wang Xing , Zhang Yi , Zhang Yufeng , Kang Mingming , Li Yuanbo , James Samuel W , Yang Yang , Bi Yanmeng , Jiang Hao , Zhou Xin , Zhao Yi , Sun Zhenjun 
Published: November 2019

AbstractEarthworms (Annelida: Crassiclitellata), are widely distributed around the world due to their great adaptability. However, lack of a high-quality genome sequence prevents gaining the many insights into physiology, phylogeny, and genome evolution that could come from a good earthworm genome. Herein, we report a complete genome assembly of the earthworm Amynthas corticis of about 1.2 Gb, based on a strategy combining third-generation long-read sequencing and Hi-C mapping. A total of 29,256 protein-coding genes are annotated in this genome. Analysis of resequencing data indicates that this earthworm is a triploid species. Furthermore, gene family evolution analysis shows that comprehensive expansion of gene families in the earthworm genome has produced more defensive functions compared with other species in Annelida. Quantitative proteomic iTRAQ analysis shows 97 immune related proteins and 16S rDNA sequences shows 88 microbes with significantly response to pathogenic Escherichia coli O157:H7. Our genome assembly provides abundant and valuable resources for the earthworm research community, serving as a first step toward uncovering the mysteries of this species, may explain its powerful defensive functions adapt to complex environment and invasion from molecular level.
RIF1-Long promotes G1 phase 53BP1 nuclear bodies to protect against replication stress
Authors: Watts Lotte P. , Natsume Toyoaki , Saito Yuichiro , Garzón Javier , Kanemaki Masato T. , Hiraga Shin-ichiro , Donaldson Anne D. 
Published: December 2019

ABSTRACTHuman cells lacking RIF1 are highly sensitive to replication inhibitors, but the reasons for this sensitivity have been enigmatic. Here we show that RIF1 must be present both during replication stress and in the ensuing recovery period to promote cell survival. Of two isoforms produced by alternative splicing, we find that RIF1-Long alone can protect cells against replication inhibition, but RIF1-Short is incapable of mediating protection. Consistent with this isoform-specific role, RIF1-Long is required to promote the formation of the 53BP1 nuclear bodies that protect unrepaired damage sites in the G1 phase following replication stress. Overall, our observations show that RIF1 is needed at several cell cycle stages after replication insult, with the RIF1-Long isoform playing a specific role during the ensuing G1 phase in damage site protection.
Skin Lesions Classification Using Deep Learning Based on Dilated Convolution
Authors: Ratul Md. Aminur Rab , Mozaffari M. Hamed , Lee Won-Sook , Parimbelli Enea 
Published: December 2019

AbstractThe prediction of skin lesions is a challenging task even for experienced dermatologists due to a little contrast between surrounding skin and lesions, the visual resemblance between skin lesions, fuddled lesion border, etc. An automated computer-aided detection system with given images can help clinicians to prognosis malignant skin lesions at the earliest time. Recent progress in deep learning includes dilated convolution known to have improved accuracy with the same amount of computational complexities compared to traditional CNN. To implement dilated convolution, we choose the transfer learning with four popular architectures: VGG16, VGG19, MobileNet, and InceptionV3. The HAM10000 dataset was utilized for training, validating, and testing, which contains a total of 10015 dermoscopic images of seven skin lesion classes with huge class imbalances. The top-1 accuracy achieved on dilated versions of VGG16, VGG19, MobileNet, and InceptionV3 is 87.42%, 85.02%, 88.22%, and 89.81%, respectively. Dilated InceptionV3 exhibited the highest classification accuracy, recall, precision, and f-1 score and dilated MobileNet also has high classification accuracy while having the lightest computational complexities. Dilated InceptionV3 achieved better overall and per-class accuracy than any known methods on skin lesions classification to the best of our knowledge while experimenting with a complex open-source dataset with class imbalances.
Preliminary design of a box-wing VTOL UAV
Authors: Palaia Giuseppe , Cipolla Vittorio , Binante Vincenzo , Rizzo Emanuele 
Published: December 2019

Purpose
This paper aims to present a preliminary study on a disruptive vertical take-off and landing (VTOL) configuration based on the best wing system concept by L. Prandtl.

Design/methodology/approach
A preliminary design has been addressed from several points of views: a conceptual design has been carried out thanks to in-house optimization tool; aerodynamic performances, propulsion design and mechanical design have been addressed to make the first prototype for preliminary vertical flight tests.

Findings
The study shows the feasibility of box-wing configuration for VTOL aircraft.

Practical implications
The work shows a general design procedure for box-wing unmanned air vehicle (UAV) configuration. The study of this configuration can be easily adopted in wider range, from UAV to general aviation. In the last category, it can be a promising configuration for the future of urban air mobility.

Originality/value
This work lays the foundation for studying and testing box-wing configuration for unmanned VTOL aircraft. The design procedure can be scaled to manned aircraft belonging to general aviation aircraft.
Sustainability disclosure through virtual community: the case of the wine sector
Authors: Fait Monica , Vrontis Demetris , Maizza Amedeo , Cavallo Federica 
Published: December 2019

Purpose
The purpose of this paper is to observe how the motivational engagement system of the consumers should be established so that communities of practice became a driver to reducing the informative asymmetries of sustainability.

Design/methodology/approach
The paper proposes a conceptual framework called connection, discussion and influence (CDI), along which the motivational dimensions to disclose sustainability can be formed. The framework has been tested on 200 firms in the Italian wine industry. A correlation analysis proved to be suitable for identifying groups of representative variables representing the engagement motivations that characterize participation in sustainability-oriented virtual communities.

Findings
The findings of this paper suggest that the pro-social behavior represented by the exchange of knowledge oriented toward sustainability is enhanced by the engagement of online community members. This happens when the online community is structured so as to activate a virtuous circle between CDI.

Research limitations/implications
The main limitation of this study is the interviewees do not actually participate in a virtual community, but have only been asked if they would be potentially interested in participating in one, and about the importance they give to specific motivations.

Practical implications
The paper provides important reflections for companies operating in the wine industry that have been called to intervene in the disclosure of sustainability.

Originality/value
The virtuous circle described here is the main contribution of the paper, as it can serve as a driver for managers of virtual communities that choose to disclose their idea of sustainability to reduce informative asymmetries and to engage consumers.
Physical properties and organoleptic evaluation of gluten-free bread from proso millet
Authors: Woomer Joseph , Singh Manjot , Vijayakumar Paul Priyesh , Adedeji Akinbode 
Published: December 2019

Purpose
Gluten-free (GF) foods have gained momentum among consumers due to an increase in incidence and awareness of gluten sensitivity and intolerance. Millet is a GF grain with nutritive qualities comparable to other cereals. However, it was not clear how millet-based GF products would be accepted, leading to the goal of this research. Therefore, the purpose of this paper is to evaluate the effect of formulation on physical properties and consumer preference of millet-based GF bread.

Design/methodology/approach
Three bread formulations were used: proso millet flour (100 percent), proso millet flour–corn starch (1:1), and proso millet flour–potato starch (1:1). Physical and sensory properties were statistically evaluated.

Findings
Starch addition to the bread formulation had a significant influence on bread volume, color and firmness. A consumer’s age, gluten intolerance and familiarity with millet products did influence the frequency of consumption of GF products. Gluten-intolerant panelists consumed GF products more often than others who are not. Older panelists reported consuming more GF products than younger panelists. Gender also had a significant effect on consumers’ preference for overall acceptability and crumb aroma. The formulation had a significant effect on consumers’ preference of crust color and crumb aroma.

Practical implications
The paper presents an understanding of how starch addition modulates bread properties for the GF market.

Originality/value
In this paper, the authors explored a novel approach to use different starches and proso millet for making GF bread and determined sensory responses based on demographics like age, celiac diagnosis and familiarity with GF foods. This vital information will help processors to determine the portion of the market to target and the formulation to explore further.
Balancing artistic and financial performance: is collaborative governance the answer?
Authors: Fanelli Simone , Donelli Chiara Carolina , Zangrandi Antonello , Mozzoni Isabella 
Published: December 2019

PurposeOpera houses have been traditionally publicly financed in many western countries. However, today many opera houses are facing serious financial troubles, due to the recent financial crisis. There is thus a widespread public debate on measures to ensure agency efficiency for performing arts organizations. Focusing on the reform implemented recently in Italy, which submitted opera houses that had severe financial difficulties to a recovery plan and encouraged forms of collaborative governance (CG), the purpose of this paper is to investigate the impact of CG on the performance of the arts sector.Design/methodology/approachMultiple case studies are used, on longitudinal data from multiple sources over a period of up to five years, in order to triangulate the narrative of financial and artistic performance and ensure trustworthiness. The study thus spans the period before the Bray Law came into force (2013) and covers the entire period in which recovery plans were implemented.FindingsThe analysis explores how opera houses are building sustainability for themselves and the community in terms of financial and artistic performance through CG. Various forms of CG adopted yielded positive results. Furthermore, more robust forms of CG generated better performance, especially from a financial point of view.Originality/valueThis paper adds to the limited knowledge of CG in the non-profit sector by bridging the fields of agency performance and CG. It discusses how the introduction of forms of CG can build up long-term sustainability, solving the dilemma of how to achieve financial equilibrium without compromising artistic quality, focusing on the case of opera houses, which are notably affected by Baumol’s cost disease.
What attracts vehicle consumers’ buying
Authors: Zhou Fuli , Lim Ming K. , He Yandong , Pratap Saurabh 
Published: December 2019

Purpose
The increasingly booming e-commerce development has stimulated vehicle consumers to express individual reviews through online forum. The purpose of this paper is to probe into the vehicle consumer consumption behavior and make recommendations for potential consumers from textual comments viewpoint.

Design/methodology/approach
A big data analytic-based approach is designed to discover vehicle consumer consumption behavior from online perspective. To reduce subjectivity of expert-based approaches, a parallel Naïve Bayes approach is designed to analyze the sentiment analysis, and the Saaty scale-based (SSC) scoring rule is employed to obtain specific sentimental value of attribute class, contributing to the multi-grade sentiment classification. To achieve the intelligent recommendation for potential vehicle customers, a novel SSC-VIKOR approach is developed to prioritize vehicle brand candidates from a big data analytical viewpoint.

Findings
The big data analytics argue that “cost-effectiveness” characteristic is the most important factor that vehicle consumers care, and the data mining results enable automakers to better understand consumer consumption behavior.

Research limitations/implications
The case study illustrates the effectiveness of the integrated method, contributing to much more precise operations management on marketing strategy, quality improvement and intelligent recommendation.

Originality/value
Researches of consumer consumption behavior are usually based on survey-based methods, and mostly previous studies about comments analysis focus on binary analysis. The hybrid SSC-VIKOR approach is developed to fill the gap from the big data perspective.