bluuebunny/crossref_metadata_2025_split huggingface dataset:
Light Sheet Fluorescence Microscopy as a New Method for Unbiased Three-Dimensional Analysis of Vascular Injury
Authors: Buglak Nicholas E. , Lucitti Jennifer , Ariel Pablo , Maiocchi Sophie , Miller Francis J. , Bahnson Edward S. M. 
Published: January 2020

AbstractAimsAssessment of preclinical models of vascular disease are paramount in the successful translation of novel treatments. The results of these models have traditionally relied on 2-D histological methodologies. Light sheet fluorescence microscopy (LSFM) is an imaging platform that allows for 3-D visualization of whole organs and tissues. In this study, we describe an improved methodological approach utilizing LSFM for imaging of preclinical vascular injury models while minimizing analysis bias.Methods and ResultsThe rat carotid artery segmental pressure-controlled balloon injury and mouse carotid artery ligation injury were performed. Arteries were harvested and processed for LSFM imaging and 3-D analysis, as well as for 2-D area histological analysis. Artery processing for LSFM imaging did not induce vessel shrinkage or expansion, and was reversible by rehydrating the artery, allowing for subsequent sectioning and histological staininga posteriori. By generating a volumetric visualization along the length of the arteries, LSFM imaging provided different analysis modalities including volumetric, area, and radial parameters. Thus, LSFM-imaged arteries provided more precise measurements compared to classic histological analysis. Furthermore, LSFM provided additional information as compared to 2-D analysis in demonstrating remodeling of the arterial media in regions of hyperplasia and periadventitial neovascularization around the ligated mouse artery.ConclusionsLSFM provides a novel and robust 3-D imaging platform for visualizing and quantifying arterial injury in preclinical models. When compared with classic histology, LSFM outperformed traditional methods in precision and quantitative capabilities. LSFM allows for more comprehensive quantitation as compared to traditional histological methodologies, while minimizing user bias associated with area analysis of alternating, 2-D histological artery cross-sections.Translational PerspectiveA more reproducible and robust quantitation of vascular pathology in preclinical models is necessary to accelerate translational discovery. Current methodology to assess vascular disease has significant limitations. The methodology described herein employs a modern imaging modality, light sheet fluorescence microscopy (LSFM), to improve assessment of established preclinical vascular injury models. LSFM provides more comprehensive and precise analysis capabilities than classical histological approaches. Hence, LSFM applied to vascular research has the potential to drive new basic discoveries, and ultimately translation of novel therapies.
Plant Trans-Golgi Network/Early Endosome pH regulation requires Cation Chloride Cotransporter (CCC1)
Authors: McKay Daniel W , Qu Yue , McFarlane Heather E , Situmorang Apriadi , Gilliham Matthew , Wege Stefanie 
Published: January 2020

AbstractPlant cells maintain a low luminal pH in the Trans-Golgi-Network/Early Endosome (TGN/EE), the organelle in which the secretory and endocytic pathways intersect. Impaired TGN/EE pH regulation translates into severe plant growth defects. The identity of the proton pump and proton/ion antiporters that regulate TGN/EE pH have been determined, but an essential component required to complete the TGN/EE membrane transport circuit remains unidentified − a pathway for cation and anion efflux. Here, we have used complementation, genetically encoded fluorescent sensors, and pharmacological treatments to demonstrate that the TGN/EE localised Arabidopsis Cation Chloride Cotransporter (CCC1) is this missing component necessary for regulating TGN/EE pH and function. Loss of CCC1 function leads to alterations in TGN/EE-mediated processes including endo- and exocytosis, and trafficking to the vacuole, and response to abiotic stress, consistent with the multitude of phenotypes observed in ccc1 knockout plants. This discovery places CCC1 as a central component of plant cellular function.
Cellular identity and Ca2+signaling activity of the non-reproductive GnRH system in theCionalarva
Authors: Okawa Nanako , Shimai Kotaro , Ohnishi Kohei , Ohkura Masamichi , Nakai Junichi , Horie Takeo , Kuhara Atsushi , Kusakabe Takehiro G. 
Published: January 2020

ABSTRACTTunicate larvae have a non-reproductive gonadotropin-releasing hormone (GnRH) system with multiple ligands and receptor heterodimerization enabling complex regulation. In theCionalarva, one of thegnrhgenes,gnrh2, is conspicuously expressed in the motor ganglion and nerve cord, which are homologous structures to the hindbrain and spinal cord, respectively, of vertebrates. Thegnrh2gene is also expressed in the proto-placodal sensory neurons, which are the proposed homologue of vertebrate olfactory neurons. The tunicate larvae occupy a non-reproductive dispersal stage, yet the role of their GnRH system remains elusive. In this study, we investigated neuronal types ofgnrh2-expressing cells inCionalarvae and visualized the activity of these cells by fluorescence imaging using a calcium sensor protein. Some cholinergic neurons and dopaminergic cells expressgnrh2, suggesting that GnRH plays a role in controlling swimming behavior. However, none of thegnrh2-expressing cells overlap with glycinergic or GABAergic neurons. A role in motor control is also suggested by the correlation between the activity of somegnrh2-expressing cells and tail movements. Interestingly,gnrh2-positive ependymal cells in the nerve cord, known as a kind of glia cells, actively produced Ca2+transients, suggesting that neuroendocrine signaling occurs in the glia cells of the nerve cord.
Temporal and spatial changes in phyllosphere microbiome of acacia trees growing in super arid environments
Authors: Al-Ashhab Ashraf , Meshner Shiri , Alexander-Shani Rivka , Brandwein Michael , Lavan Yael Bar , Winters Gidon 
Published: January 2020

AbstractAlong the arid Arava, southern Israel, acacia trees (Acacia raddianaandAcacia tortilis) are considered keystone species. In this study, we investigated the ecological effects of plant species, microclimate (different areas within the tree canopies) and seasonality on the endophytic and epiphytic microbiome associated with these two tree species. 186 leaf samples were collected along different seasons throughout the year and their microbial communities were studied using the diversity of the 16S rDNA gene sequenced on the 150-PE Illumina sequencing platform. Results show that endophytic, but not epiphytic, microbiome communities were different between the two acacia species. Endophytic, but not epiphytic, microbiome was affected by temporal changes (seasons) in air temperature. Acacia canopy microclimate was also found to have a significant effect on exosphere microbiome, withA. tortilishaving a higher microbial diversity thanA. raddianawith significantly different community compositions in different seasons.ImportanceThe evolutionary relationships and interactions between plants and their microbiome are of high importance to the survival of plants in extreme conditions. Changes in microbiome of plants can affect plant development, growth and health. In this study, we explored the relationship between keystone desert trees and their microbiome along seasonal variation. These results shed light on the importance and uniqueness of desert phyllosphere microbiome. Although acacia trees are considered keystone species in many arid regions, to the best of our knowledge, this is the first time that microbial descriptors have been applied in these systems. This work constitutes a new approach to the assessment of these important trees and a stepping stone in the application of microbial communities as a putative marker in a changing environment.
A novel toxin-antitoxin module SlvT–SlvA governs megaplasmid stability and incites solvent tolerance inPseudomonas putidaS12
Authors: Kusumawardhani Hadiastri , van Dijk David , Hosseini Rohola , de Winde Johannes H. 
Published: January 2020

AbstractPseudomonas putidaS12 is highly tolerant towards organic solvents in saturating concentrations, rendering this microorganism suitable for the industrial production of various aromatic compounds. Previous studies reveal thatP. putidaS12 contains a single-copy 583 kbp megaplasmid pTTS12. This pTTS12 encodes several important operons and gene clusters facilitatingP. putidaS12 to survive and grow in the presence of toxic compounds or other environmental stresses. We wished to revisit and further scrutinize the role of pTTS12 in conferring solvent tolerance. To this end, we cured the megaplasmid fromP. putidaS12 and conclusively confirmed that the SrpABC efflux pump is the major contributor of solvent tolerance on the megaplasmid pTTS12. Importantly, we identified a novel toxin-antitoxin module (proposed gene namesslvTandslvArespectively) encoded on pTTS12 which contributes to the solvent tolerant phenotype and is essential in conferring genetic stability to the megaplasmid. Chromosomal introduction of thesrpoperon in combination withslvAT gene pair created a solvent tolerance phenotype in non-solvent tolerant strains such asP. putidaKT2440,E. coliTG1, andE. coliBL21(DE3).ImportanceSustainable alternatives for high-value chemicals can be achieved by using renewable feedstocks in bacterial biocatalysis. However, during bioproduction of such chemicals and biopolymers, aromatic compounds that function as products, substrates or intermediates in the production process may exert toxicity to microbial host cells and limit the production yield. Therefore, solvent-tolerance is a highly preferable trait for microbial hosts in the biobased production of aromatic chemicals and biopolymers. In this study, we revisit the essential role of megaplasmid pTTS12 from solvent-tolerantP. putidaS12 for molecular adaptation to organic solvent. In addition to the RND efflux pump (SrpABC), we identified a novel toxin-antitoxin module (SlvAT) which contributes to tolerance in low solvent concentration as well as to genetic stability of pTTS12. These two gene clusters were successfully transferred to non-solvent tolerant strains ofP. putidaand toE. colistrains to confer and enhance solvent tolerance.
Explaining the effects of distractor statistics in visual search
Authors: Calder-Travis Joshua , Ma Wei Ji 
Published: January 2020

AbstractVisual search, the task of detecting or locating target items amongst distractor items in a visual scene, is an important function for animals and humans. Different theoretical accounts make differing predictions for the effects of distractor statistics. Here we use a task in which we parametrically vary distractor items, allowing for a simultaneously fine-grained and comprehensive study of distractor statistics. We found effects of target-distractor similarity, distractor variability, and an interaction between the two, although the effect of the interaction on performance differed from the one expected. To explain these findings, we constructed computational process models that make trial-by-trial predictions for behaviour based on the full set of stimuli in a trial. These models, including a Bayesian observer model, provided excellent accounts of both the qualitative and quantitative effects of distractor statistics, as well as of the effect of changing the statistics of the environment (in the form of distractors being drawn from a different distribution). We conclude with a broader discussion of the role of computational process models in the understanding of visual search.
Bibliometric study of social network analysis literature
Authors: Su Yu-Sheng , Lin Chien-Linag , Chen Shih-Yeh , Lai Chin-Feng 
Published: January 2020

PurposeThe purpose of this paper is to use bibliometric analysis to identify the current state of the academic literature regarding social network analysis (SNA) and analyze its knowledge base such as research authors, research countries, document type, keyword analysis and subject areas.Design/methodology/approachBibliometric analysis is used and furthermore, Lotka’s and Bradford’s law is applied to perform author productivity analyses in this field during 1999 and 2018, respectively, in turn, discovering historical vein and research tendency in the future.FindingsIt appears that the research on SNA has been very popular and still in the highly mature period. So far, the USA takes the lead among the published paper. The top 2 subject areas are “Computer Science” and “Business Economics.” The primary journal that SNA articles were published isComputers in Human Behavior. SNA has been related to many research areas, such as “Social network analysis,” “Computer-mediated communication,” “Online learning,” “Social Network” and “Community of inquiry.” Finally, Kolmogorov–Smirnov (K-S) test proved that the frequency indexes of author productivity distribution certainly followed Lotka’s law.Research limitations/implicationsFirst, the productivity distribution may inform researchers and scholars of current issues and development of SNA. Second, the study proposed a theoretical model, based on Lotka’s law, for author productivity analysis of SNA, which can serve as reference for different areas of study in the evaluation of author productivity models. Also, in order to allow researchers to gain in-depth insights, this study aimed to report the most published institutions and keep track of the growth and trend of author productivity, by which scholars in related fields are provided with more opportunities for academic communication and technological cooperation.Originality/valueThis research on the productivity distribution of SNA may inform researchers and scholars of current issues and development of SNA. The findings report the major publication outlets and related discussion issues about SNA. Such information would be valuable for related authors, who are writing the manuscript on SNA, and also for practitioners, who may be interested in applying the theory or ideas of SNA.
Bibliometric analysis of patent infringement retrieval model based on self-organizing map neural network algorithm
Authors: Zhu Dimin 
Published: January 2020

Purpose
The purpose of this paper is to quickly retrieve the same or similar patents in a large patent database.

Design/methodology/approach
The research is carried out through the analysis of the issue of patent examination, the type of patent infringement search and theories related to patent infringement determination and text mining.

Findings
The results show that the model improves the speed of patent search. It can quickly, accurately and comprehensively retrieve the same or equivalent patents as the imported patent claims.

Research limitations/implications
The patent infringement detection mainly focuses on the measurement of patent similarity in the implementation method. It is not mature, and there is still much room for improvement in research.

Practical implications
The model improves the efficiency of patent infringement detection, increases the accuracy of detection and protects the interests of patent stakeholders.

Originality/value
This study has great significance for improving the efficiency of patent examiners.
Assessment of molecular detection of Fusarium circinatum in insects and passive spore traps in Pinus radiata plantations
Authors: Aguayo Jaime , Fourrier‐Jeandel Céline , Capdevielle Xavier , Vétillard Fabrice , Piou Dominique , Iturritxa Eugenia , Robin Cécile 
Published: January 2020

AbstractFusarium circinatum is the causal agent of pitch canker, a destructive disease that threatens natural and planted pine forests around the world. Although pitch canker has caused problems in Spain and Portugal, concerning Europe as a whole, the fungus is not established across the pine distribution area. Its dispersion by wind and/or insect vectors could nevertheless play a role in the colonization of currently uninfected stands. It is therefore crucial to develop monitoring tools for its detection. To this end, we assessed the molecular detection of the pathogen in environmental samples of bark beetles and passive spore traps, collected in two infected Pinus radiata plantations in Basque country, Spain. The spread pattern of F. circinatum was assessed by an experimental design that included insect and spore traps installed at the centre, at the edge and outside the plots. Our results showed that F. circinatum was detected in both types of samples, at almost all collection dates. In both type of samples, positive detections were mainly found at the centre of the plots, a lower proportion at the edge, and very few outside. This suggests that long‐distance dispersion of Fusarium circinatum does not rely on wind spore dispersal neither on insect flight. Our study also shows that molecular methods are a powerful tool to monitor the pathogen in environmental samples.
Evaluation of HoloHuman augmented reality application as a novel educational tool in dentistry
Authors: Zafar Sobia , Zachar Jessica Joanna 
Published: January 2020

AbstractAimsTo investigate dental student's perception of the augmented reality (AR) head and neck anatomy application and to determine whether the learning environment was beneficial for students compared with traditional cadaver learning.MethodsA total of 88 students participated in a self‐administered questionnaire prior to and after the use of AR. This was conducted during anatomy classes for second‐year dentistry students. Descriptive data analysis was performed to determine the perceptions of experience gained through AR.ResultsThe study revealed that over two‐thirds of participants perceived that it would assist in their learning with 52.3% of participants who agreed and 35.2% of participants who strongly agreed. After the use of HoloHuman, it was found that 43.5% of participants agreed that the 3D anatomical structures improved their understanding of anatomy and 36.5% agreed that they felt more confident about their anatomy skills. The results also demonstrated that only 34.1% agreed that it added value in training compared with relying solely on traditional methods. Overall, 75.3% of participants agreed that HoloHuman teaching should not replace traditional cadaver training.ConclusionThis study suggested that the use of AR offers an additional mean of dental anatomy training; however, it cannot be used as a replacement for traditional modes of cadaver anatomy training. AR has the potential to be used as an adjunct tool in the learning of dental head and neck anatomy as it has demonstrated increased student engagement and enjoyment; however, limitations with the device still remain.
Distributed artificial bee colony approach for connected appliances in smart home energy management system
Authors: Bui Khac‐Hoai N. , Agbehadji Israel E. , Millham Richard , Camacho David , Jung Jason J. 
Published: January 2020

AbstractIn this study, we propose a computational intelligence model for the Internet of Things applications by applying the concept of swarm intelligence (SI) into connected devices. Particularly, decentralized management of smart home energy management system (HEMS) is taken into account in which connected appliances, by sharing information with each other, make the individual decisions for optimizing electricity prices of smart HEMS. Specifically, the study includes two main issues: (a) We propose a framework for decentralized management in smart HEMS; and (b) artificial bee colony (ABC) algorithm, a typical algorithm of SI techniques, has been applied for connected appliances in terms of communication and collaboration with each other to optimize the performance of the energy management system. Moreover, regarding the implementation, we develop and simulate a connected environment of smart home systems to evaluate the proposed approach. The simulation indicates the promising results in terms of optimizing the load balancing problem comparing with the conventional approach of the decentralized management system in smart home applications.
Fatigue crack growth and delamination mechanisms of Ti/CFRP fibre metal laminates at high temperatures
Authors: Jin Kai , Chen Kai , Luo Xinyi , Tao Jie 
Published: January 2020

AbstractTi/CFRP (titanium/carbon fibre reinforced polymer) fibre metal laminates (FMLs) are composed of titanium sheets and carbon fibres reinforced PMR (polymerization of monomeric reactants) type polyimide resin. Due to the outstanding heat resistance of the material, it can be used in hypersonic aircraft applications. Fatigue cracks in the metal layer and delamination at metal/fibre interface may occur in long‐term high‐temperature use processes. However, the behaviour of the fatigue failure at high temperatures has not been investigated. A temperature‐dependent equation has not been presented to predict the crack growth behaviour at high temperatures. In this study, to investigate the crack propagation and delamination behaviours, fatigue crack growth rate tests using tension‐tension loads at 25°C, 80°C, 120°C, and 150°C were conducted in accordance with ASTM E647‐15e1. The results indicated that the variation in fatigue crack growth rate could be described by a modified temperature‐dependent Paris equation. Interfacial strength and tensile strength may influence fatigue failure at high temperatures. Hence, these strength values were also obtained to analyse the mechanism of fatigue behaviour. The delamination area increased exponentially with temperature due to the weakening of the Ti/CFRP interface, and delamination was invariably generated on the microcracks of the titanium layers.
Estimating the cost‐effectiveness of screening for hepatitis C virus infection in Japan
Authors: Nagai Kota , Ide Kazuki , Kawasaki Yohei , Tanaka‐Mizuno Sachiko , Seto Kahori , Iwane Shinji , Eguchi Yuichiro , Kawakami Koji 
Published: January 2020

AimThe management of hepatitis C virus (HCV) has changed with the advent of interferon (IFN)‐free treatment and the declining prevalence of HCV infection, which may impact the cost‐effectiveness of the screening. We aimed to compare the cost‐effectiveness and clinical outcomes of three screening strategies in the Japanese general population: no screening, screening plus IFN‐based therapy, and screening plus IFN‐free therapy.MethodsWe developed a decision analytic Markov model for screening intervention and natural history of HCV. Model parameters were derived from published literature. A lifetime horizon and the healthcare payer perspective were taken. Subanalyses included high screening scenario with improved rates of screening and attending referral, in addition to heterogeneity analysis by age subgroup.ResultsIn the base case, the incremental cost‐effectiveness ratio in the Japanese general population aged 40–89 years was ¥1 124 482 and ¥1 085 183 per quality‐adjusted life year gained for screening plus IFN‐free therapy compared with no screening and screening plus IFN‐based therapy, respectively. Screening plus IFN‐free therapy remained cost‐effective below ¥5 000 000 per quality‐adjusted life year gained in sensitivity analyses. Incremental cost‐effectiveness ratios were lower in the younger population. Nearly 0.2% of HCV‐related deaths were avoided by 1.5% of the general population screened followed by IFN‐free therapy relative to no screening; the impact was greater with improved rates of screening and attending referral.ConclusionsScreening and subsequent IFN‐free therapy for HCV appears to be cost‐effective. Early diagnosis and treatment would produce a favorable incremental cost‐effectiveness ratio. Improved rates of screening and attending referral would result in further reduction of disease progression.