bluuebunny/crossref_metadata_2025 huggingface dataset:
Fluid Dynamics of Ballistic Strategies in Nematocyst Firing
Authors: Hamlet Christina , Strychalski Wanda , Miller Laura
Published: February 2020

Nematocysts are stinging organelles used by members of the phylum Cnidaria (e.g., jellyfish, anemones, hydrozoans) for a variety of important functions including capturing prey and defense. Nematocysts are the fastest-known accelerating structures in the animal world. The small scale (microns) coupled with rapid acceleration (in excess of 5 million g) present significant challenges in imaging that prevent detailed descriptions of their kinematics. The immersed boundary method was used to numerically simulate the dynamics of a barb-like structure accelerating a short distance across Reynolds numbers ranging from 0.9–900 towards a passive elastic target in two dimensions. Results indicate that acceleration followed by coasting at lower Reynolds numbers is not sufficient for a nematocyst to reach its target. The nematocyst’s barb-like projectile requires high accelerations in order to transition to the inertial regime and overcome the viscous damping effects normally encountered at small cellular scales. The longer the barb is in the inertial regime, the higher the final velocity of the projectile when it touches its target. We find the size of the target prey does not dramatically affect the barb’s approach for large enough values of the Reynolds number, however longer barbs are able to accelerate a larger amount of surrounding fluid, which in turn allows the barb to remain in the inertial regime for a longer period of time. Since the final velocity is proportional to the force available for piercing the membrane of the prey, high accelerations that allow the system to persist in the inertial regime have implications for the nematocyst’s ability to puncture surfaces such as cellular membranes or even crustacean cuticle.
Non-Differentiable Solution of Nonlinear Biological Population Model on Cantor Sets
Authors: Ziane Djelloul , Hamdi Cherif Mountassir , Baleanu Dumitru , Belghaba Kacem
Published: February 2020

The main objective of this study is to apply the local fractional homotopy analysis method (LFHAM) to obtain the non-differentiable solution of two nonlinear partial differential equations of the biological population model on Cantor sets. The derivative operator are taken in the local fractional sense. Two examples have been presented showing the effectiveness of this method in solving this model on Cantor sets.
Exploring the “Cozy Cabal of Academics, Dealers and Collectors” through the Schøyen Collection
Authors: Prescott Christopher , Rasmussen Josephine Munch
Published: February 2020

In the wake of the trade in ancient materials, several ethical and political issues arise that merit concern: the decimation of the cultural heritage of war-torn countries, proliferation of corruption, ideological connotations of orientalism, financial support of terrorism, and participation in networks involved in money laundering, weapon sales, human trafficking and drugs. Moreover, trafficking and trading also have a harmful effect on the fabric of academia itself. This study uses open sources to track the history of the private Schøyen Collection, and the researchers and public institutions that have worked with and supported the collector. Focussing on the public debates that evolved around the Buddhist manuscripts and other looted or illicitly obtained material from Afghanistan, Pakistan and Iraq, this article unravels strategies to whitewash Schøyen’s and his research groups’ activities. Numerous elements are familiar from the field of antiquities trafficking research and as such adds to the growing body of knowledge about illicit trade and collecting. A noteworthy element in the Schøyen case is Martin Schøyen and his partners’ appeal to digital dissemination to divorce collections from their problematic provenance and history and thus circumvent contemporary ethical standards. Like paper publications, digital presentations contribute to the marketing and price formation of illicit objects. The Norwegian state’s potential purchase of the entire Schøyen collection was promoted with the aid of digital dissemination of the collection hosted by public institutions. In the wake of the Schøyen case, it is evident that in spite of formal regulations to thwart antiquities trafficking, the continuation of the trade rests on the attitudes and practice of scholars and institutions.
Information Management in Healthcare and Environment: Towards an Automatic System for Fake News Detection
Authors: Lara-Navarra Pablo , Falciani Hervé , Sánchez-Pérez Enrique A. , Ferrer-Sapena Antonia
Published: February 2020

Comments and information appearing on the internet and on different social media sway opinion concerning potential remedies for diagnosing and curing diseases. In many cases, this has an impact on citizens’ health and affects medical professionals, who find themselves having to defend their diagnoses as well as the treatments they propose against ill-informed patients. The propagation of these opinions follows the same pattern as the dissemination of fake news about other important topics, such as the environment, via social media networks, which we use as a testing ground for checking our procedure. In this article, we present an algorithm to analyse the behaviour of users of Twitter, the most important social network with respect to this issue, as well as a dynamic knowledge graph construction method based on information gathered from Twitter and other open data sources such as web pages. To show our methodology, we present a concrete example of how the associated graph structure of the tweets related to World Environment Day 2019 is used to develop a heuristic analysis of the validity of the information. The proposed analytical scheme is based on the interaction between the computer tool—a database implemented with Neo4j—and the analyst, who must ask the right questions to the tool, allowing to follow the line of any doubtful data. We also show how this method can be used. We also present some methodological guidelines on how our system could allow, in the future, an automation of the procedures for the construction of an autonomous algorithm for the detection of false news on the internet related to health.
Community-Engaged Air Monitoring to Build Resilience Near the US-Mexico Border
Authors: Wong Michelle , Wilkie Alexa , Garzón-Galvis Catalina , King Galatea , Olmedo Luis , Bejarano Esther , Lugo Humberto , Meltzer Dan , Madrigal Daniel , Claustro Mariana , English Paul
Published: February 2020

Initiated in response to community concerns about high levels of air pollution and asthma, the Imperial County Community Air Monitoring Project was conducted as a collaboration between a community-based organization, a non-governmental environmental health program, and academic researchers. This community-engaged research project aimed to produce real-time, community-level air quality information through the establishment of a community air monitoring network (CAMN) of 40 low-cost particulate matter (PM) monitors in Imperial County, California. Methods used to involve the community partner organization and residents in the development, operation, and use of the CAMN included the following: (1) establishing equitable partnerships among the project collaborators; (2) forming a community steering committee to guide project activities; (3) engaging residents in data collection to determine monitor sites; (4) providing hands-on training to assemble and operate the air monitors; (5) conducting focus groups to guide display and dissemination of monitoring data; and (6) conducting trainings on community action planning. This robust community engagement in the project resulted in increased awareness, knowledge, capacity, infrastructure, and influence for the community partner organization and among community participants. Even after the conclusion of the original research grant funding for this project, the CAMN continues to be operated and sustained by the community partner, serving as a community resource used by residents, schools, researchers, and others to better understand and address air pollution and its impacts on community health, while strengthening the ability of the community to prepare for, respond to, and recover from harmful air pollution.
Investigating Industrial Effluent Impact on Municipal Wastewater Treatment Plant in Vaal, South Africa
Authors: Iloms Eunice , Ololade Olusola O. , Ogola Henry J. O. , Selvarajan Ramganesh
Published: February 2020

Industrial effluents with high concentrations of toxic heavy metals are of great concern because of their persistence and non-degradability. However, poor operation and maintenance of wastewater treatment infrastructure is a great concern in South Africa. In this study, physico-chemical parameters and heavy metals (HMs) concentration of wastewater from five different industries, Leeuwkuil wastewater treatment plant (WWTP) inflow and effluent, and Vaal River water samples were monitored between January and September 2017, to investigate the correlation between heavy metal pollution and the location of industries and ascertain the effectiveness of the municipal WWTP. Physico-chemical variables such as pH, biological oxygen demand (BOD), dissolved oxygen (DO), chemical oxygen demand (COD), total dissolved solids (TDS) and electrical conductivity (EC) exhibited both temporal and spatial variations with the values significantly higher in the industrial samples. Inductively coupled plasma optical emission spectrometry (ICP-OES) results also showed that aluminium (Al), copper (Cu), lead (Pb) and zinc (Zn) were significantly higher in industrial effluents (p < 0.05), with only Zn and Al exhibiting significant seasonal variability. Statistical correlation analysis revealed a poor correlation between physicochemical parameters and the HMs compositional quality of wastewater. However, toxic HMs (Zn, Cu and Pb) concentrations in treated wastewater from WWTP were above the permissible limits. Although the WWTP was effective in maintaining most of the wastewater parameters within South African Green drop Standards, the higher Cu, Zn, Pb and COD in its final effluent is a concern in terms of Vaal river health and biological diversity. Therefore, we recommend continuous monitoring and maintenance of the WWTPs infrastructure in the study area.
Quantifying the Health Burden Misclassification from the Use of Different PM2.5 Exposure Tier Models: A Case Study of London
Authors: Kazakos Vasilis , Luo Zhiwen , Ewart Ian
Published: February 2020

Exposure to PM2.5 has been associated with increased mortality in urban areas. Hence, reducing the uncertainty in human exposure assessments is essential for more accurate health burden estimates. Here, we quantified the misclassification that occurred when using different exposure approaches to predict the mortality burden of a population using London as a case study. We developed a framework for quantifying the misclassification of the total mortality burden attributable to exposure to fine particulate matter (PM2.5) in four major microenvironments (MEs) (dwellings, aboveground transportation, London Underground (LU) and outdoors) in the Greater London Area (GLA), in 2017. We demonstrated that differences exist between five different exposure Tier-models with incrementally increasing complexity, moving from static to more dynamic approaches. BenMap-CE, the open source software developed by the U.S. Environmental Protection Agency, was used as a tool to achieve spatial distribution of the ambient concentration by interpolating the monitoring data to the unmonitored areas and ultimately estimating the change in mortality on a fine resolution. Indoor exposure to PM2.5 is the largest contributor to total population exposure concentration, accounting for 83% of total predicted population exposure, followed by the London Underground, which contributes approximately 15%, despite the average time spent there by Londoners being only 0.4%. After incorporating housing stock and time-activity data, moving from static to most dynamic metric, Inner London showed the highest reduction in exposure concentration (i.e., approximately 37%) and as a result the largest change in mortality (i.e., health burden/mortality misclassification) was observed in central GLA. Overall, our findings showed that using outdoor concentration as a surrogate for total population exposure but ignoring different exposure concentration that occur indoors and time spent in transit, led to a misclassification of 1174–1541 mean predicted mortalities in GLA. We generally confirm that increasing the complexity and incorporating important microenvironments, such as the highly polluted LU, could significantly reduce the misclassification of health burden assessments.
Decrease in Serum HDL-C Level Is Associated with Elevation of Blood Pressure: Correlation Analysis from the Korean National Health and Nutrition Examination Survey 2017
Authors: Cho Kyung-Hyun , Park Hye-Jeong , Kim Jae-Ryong
Published: February 2020

A low-serum, high-density lipoproteins–cholesterol (HDL-C) level and high blood pressure (BP) are independent risk factors for cardiovascular disease and dementia. In the present study, in order to find putative correlation between low HDL-C and hypertension, 4552 subjects (20–80 years old) were selected from the Korean National Health And Nutrition Examination Survey 2017 (KNHANES VII-2, n = 2017 men, n = 2535 women). They were classified into four levels of blood pressure, ranging from BP1 (normal, below 120/80 mmHg for systolic BP (SBP)/diastolic BP (DBP), BP2 (prehypertension, 120/80 to 139/89 mmHg), BP3 (hypertension stage 1, 140/90–159/99 mmHg), and BP4 (hypertension stage 2, higher than 160/100 mmHg). Generally, in the total population, a higher SBP level and age were associated with a lower HDL-C in both genders. However, DBP was not associated with age in men. In the total population, Pearson’s correlation analysis revealed that SBP (r = −0.188, p < 0.001) and DBP (r = −0.198, p < 0.001) showed negative correlations with percentage of HDL-C in total cholesterol (TC), HDL-C/TC (%). In both genders, HDL-C gradually decreased with age and HDL-C/TC (%) was more accurate in expressing a correlation with BP. Women showed a more distinct decrease in HDL-C with an elevation of BP and age than men. Both elevation of DBP and SBP were associated with a decrease in HDL-C, around 2.3–2.4 mg/dL, between normal range and hypertension 2 stage. Additionally, DBP was significantly associated with HDL-C/TC (%) (men: r = −0.136, p < 0.001; women: r = −0.152, p < 0.001), while HDL-C did not show a significant association with a change in DBP. In conclusion, SBP was positively correlated with age, but DBP did not change significantly with age. The correlation of BP and HDL-C depending on age showed that SBP gradually increased and HDL-C decreased with an increase in age. The percentage of HDL-C in TC was more significantly associated with a change in SBP and DBP in both genders.
Genetic Predisposition to Breast and Ovarian Cancers: How Many and Which Genes to Test?
Authors: Angeli Davide , Salvi Samanta , Tedaldi Gianluca
Published: February 2020

Breast and ovarian cancers are some of the most common tumors in females, and the genetic predisposition is emerging as one of the key risk factors in the development of these two malignancies. BRCA1 and BRCA2 are the best-known genes associated with hereditary breast and ovarian cancer. However, recent advances in molecular techniques, Next-Generation Sequencing in particular, have led to the identification of many new genes involved in the predisposition to breast and/or ovarian cancer, with different penetrance estimates. TP53, PTEN, STK11, and CDH1 have been identified as high penetrance genes for the risk of breast/ovarian cancers. Besides them, PALB2, BRIP1, ATM, CHEK2, BARD1, NBN, NF1, RAD51C, RAD51D and mismatch repair genes have been recognized as moderate and low penetrance genes, along with other genes encoding proteins involved in the same pathways, possibly associated with breast/ovarian cancer risk. In this review, we summarize the past and more recent findings in the field of cancer predisposition genes, with insights into the role of the encoded proteins and the associated genetic disorders. Furthermore, we discuss the possible clinical utility of genetic testing in terms of prevention protocols and therapeutic approaches.
Natural Autoantibodies in Chronic Pulmonary Diseases
Authors: Fukushima Kiyoharu , Tsujino Kazuyuki , Futami Shinji , Kida Hiroshi
Published: February 2020

In autoantibody-mediated autoimmune diseases, pathogenic autoantibodies generated by a failure of central or peripheral tolerance, have different effects mediated by a variety of mechanisms. Interestingly, even non-autoimmune chronic diseases have a set of disease-specific natural autoantibodies that are maintained for a long time. Because most of these natural autoantibodies target intracellular proteins or long non-coding RNAs, they are speculated to be non-pathological and have some important as yet unrecognized physiological functions such as debris clearance. Recently, we revealed a set of disease-specific natural autoantibodies of chronic pulmonary diseases with unknown etiology by protein arrays that enable detection of specific autoantibodies against >8000 targets. Surprisingly, some of the targeted antigens of disease-specific autoantibodies were subsequently reported by other laboratories as strongly associated with the disease, suggesting that these antigens reflect the pathology of each disease. Furthermore, some of these autoantibodies that target extracellular antigens might modify the original course of each disease. Here, we review the disease-specific natural autoantibodies of chronic pulmonary diseases, including chronic fibrosing idiopathic interstitial pneumonias, sarcoidosis, and autoimmune pulmonary alveolar proteinosis, and discuss their utility and effects.
Myeloperoxidase and Septic Conditions Disrupt Sphingolipid Homeostasis in Murine Brain Capillaries In Vivo and Immortalized Human Brain Endothelial Cells In Vitro
Authors: Goeritzer Madeleine , Bernhart Eva , Plastira Ioanna , Reicher Helga , Leopold Christina , Eichmann Thomas O. , Rechberger Gerald , Madreiter-Sokolowski Corina T. , Prasch Jürgen , Eller Philipp , Graier Wolfgang F. , Kratky Dagmar , Malle Ernst , Sattler Wolfgang
Published: February 2020

During inflammation, activated leukocytes release cytotoxic mediators that compromise blood–brain barrier (BBB) function. Under inflammatory conditions, myeloperoxidase (MPO) is critically involved in inflicting BBB damage. We used genetic and pharmacological approaches to investigate whether MPO induces aberrant lipid homeostasis at the BBB in a murine endotoxemia model. To corroborate findings in a human system we studied the impact of sera from sepsis and non-sepsis patients on brain endothelial cells (hCMEC/D3). In response to endotoxin, the fatty acid, ceramide, and sphingomyelin content of isolated mouse brain capillaries dropped and barrier dysfunction occurred. In mice, genetic deficiency or pharmacological inhibition of MPO abolished these alterations. Studies in metabolic cages revealed increased physical activity and less pronounced sickness behavior of MPO−/− compared to wild-type mice in response to sepsis. In hCMEC/D3 cells, exogenous tumor necrosis factor α (TNFα) potently regulated gene expression of pro-inflammatory cytokines and a set of genes involved in sphingolipid (SL) homeostasis. Notably, treatment of hCMEC/D3 cells with sera from septic patients reduced cellular ceramide concentrations and induced barrier and mitochondrial dysfunction. In summary, our in vivo and in vitro data revealed that inflammatory mediators including MPO, TNFα induce dysfunctional SL homeostasis in brain endothelial cells. Genetic and pharmacological inhibition of MPO attenuated endotoxin-induced alterations in SL homeostasis in vivo, highlighting the potential role of MPO as drug target to treat inflammation-induced brain dysfunction.
Phyllotaxis Turns Over a New Leaf—A New Hypothesis
Authors: Lamport Derek T. A. , Tan Li , Held Michael , Kieliszewski Marcia J.
Published: February 2020

Phyllotaxis describes the periodic arrangement of plant organs most conspicuously floral. Oscillators generally underlie periodic phenomena. A hypothetical algorithm generates phyllotaxis regulated by the Hechtian growth oscillator of the stem apical meristem (SAM) protoderm. The oscillator integrates biochemical and mechanical force that regulate morphogenetic gradients of three ionic species, auxin, protons and Ca2+. Hechtian adhesion between cell wall and plasma membrane transduces wall stress that opens Ca2+ channels and reorients auxin efflux “PIN” proteins; they control the auxin-activated proton pump that dissociates Ca2+ bound by periplasmic arabinogalactan proteins (AGP-Ca2+) hence the source of cytosolic Ca2+ waves that activate exocytosis of wall precursors, AGPs and PIN proteins essential for morphogenesis. This novel approach identifies the critical determinants of an algorithm that generates phyllotaxis spiral and Fibonaccian symmetry: these determinants in order of their relative contribution are: (1) size of the apical meristem and the AGP-Ca2+ capacitor; (2) proton pump activity; (3) auxin efflux proteins; (4) Ca2+ channel activity; (5) Hechtian adhesion that mediates the cell wall stress vector. Arguably, AGPs and the AGP-Ca2+ capacitor plays a decisive role in phyllotaxis periodicity and its evolutionary origins.
Sirtuin 1: Endocan and Sestrin 2 in Different Biological Samples in Patients with Asthma. Does Severity Make the Difference?
Authors: Tsilogianni Zoe , Baker Jonathan R , Papaporfyriou Anastasia , Papaioannou Andrianna I , Papathanasiou Evgenia , Koulouris Nikolaos G , Daly Leah , Ito Kazuhiro , Hillas Georgios , Papiris Spyridon , Bakakos Petros , Loukides Stelios
Published: February 2020

Background: Sestrin 2, Endocan, and Sirtuin 1 are distinct molecules with some biologic actions associated with asthma pathophysiology. The aim of the present study was to determine the molecular level differences attributable to underlying asthma severity. Methods: We initially recruited 85 asthmatics with a wide spectrum of severity. All of the patients were optimally treated according to current guidelines. Demographics, test results of lung function, and treatment regimes of all patients were recorded. Sestrin 2, Endocan, and Sirtuin 1 were measured in different biological samples (sputum with two processing methods and serum). Results: A total of 60 patients (35 with severe asthma) were analyzed, since 25 patients failed to produce an adequate sample of sputum. Patients with severe asthma showed significantly higher values for Sestrin 2 [pg/mL], measured in both sputum supernatant and cell pellet, compared to those with mild to moderate asthma [9524 (5696, 12,373) vs. 7476 (4265, 9273) p = 0.029, and 23,748 (15,280, 32,742) vs. 10,084 (3349, 21,784), p = 0.008, respectively]. No other significant differences were observed. No significant associations were observed between biomarkers, inflammatory cells, and lung function. Conclusion: Sestrin 2 is increased in patients with severe asthma as part of a mechanism that may modify structural alterations through the imbalance between oxidative stress and antioxidant activity.
Synthetic Biology for Terraformation Lessons from Mars, Earth, and the Microbiome
Authors: Conde-Pueyo Nuria , Vidiella Blai , Sardanyés Josep , Berdugo Miguel , Maestre Fernando T. , de Lorenzo Victor , Solé Ricard
Published: February 2020

What is the potential for synthetic biology as a way of engineering, on a large scale, complex ecosystems? Can it be used to change endangered ecological communities and rescue them to prevent their collapse? What are the best strategies for such ecological engineering paths to succeed? Is it possible to create stable, diverse synthetic ecosystems capable of persisting in closed environments? Can synthetic communities be created to thrive on planets different from ours? These and other questions pervade major future developments within synthetic biology. The goal of engineering ecosystems is plagued with all kinds of technological, scientific and ethic problems. In this paper, we consider the requirements for terraformation, i.e., for changing a given environment to make it hospitable to some given class of life forms. Although the standard use of this term involved strategies for planetary terraformation, it has been recently suggested that this approach could be applied to a very different context: ecological communities within our own planet. As discussed here, this includes multiple scales, from the gut microbiome to the entire biosphere.
Optimization of the 3D Printing Parameters for Tensile Properties of Specimens Produced by Fused Filament Fabrication of 17-4PH Stainless Steel
Authors: Godec Damir , Cano Santiago , Holzer Clemens , Gonzalez-Gutierrez Joamin
Published: February 2020

Fused filament fabrication (FFF) combined with debinding and sintering could be an economical process for three-dimensional (3D) printing of metal parts. In this paper, compounding, filament making, and FFF processing of feedstock material with 55% vol. of 17-4PH stainless steel powder in a multicomponent binder system are presented. The experimental part of the paper encompasses central composite design for optimization of the most significant 3D printing parameters (extrusion temperature, flow rate multiplier, and layer thickness) to obtain maximum tensile strength of the 3D-printed specimens. Here, only green specimens were examined in order to be able to determine the optimal parameters for 3D printing. The results show that the factor with the biggest influence on the tensile properties was flow rate multiplier, followed by the layer thickness and finally the extrusion temperature. Maximizing all three parameters led to the highest tensile properties of the green parts.
First Electrochemical Sensor (Screen-Printed Carbon Electrode Modified with Carboxyl Functionalized Multiwalled Carbon Nanotubes) for Ultratrace Determination of Diclofenac
Authors: Sasal Agnieszka , Tyszczuk-Rotko Katarzyna , Wójciak Magdalena , Sowa Ireneusz
Published: February 2020

A simple, sensitive and time-saving differential-pulse adsorptive stripping voltammetric (DPAdSV) procedure using a screen-printed carbon electrode modified with carboxyl functionalized multiwalled carbon nanotubes (SPCE/MWCNTs-COOH) for the determination of diclofenac (DF) is presented. The sensor was characterized using optical profilometry, SEM, and cyclic voltammetry (CV). The use of carboxyl functionalized MWCNTs as a SPCE modifier improved the electron transfer process and the active surface area of sensor. Under optimum conditions, very sensitive results were obtained with a linear range of 0.1–10.0 nmol L−1 and a limit of detection value of 0.028 nmol L−1. The SPCE/MWCNTs-COOH also exhibited satisfactory repeatability, reproducibility, and selectivity towards potential interferences. Moreover, for the first time, the electrochemical sensor allows determining the real concentrations of DF in environmental water samples without sample pretreatment steps.
Energy Absorption Behavior of Al-SiC-Graphene Composite Foam under a High Strain Rate
Authors: Das Sourav , Rajak Dipen Kumar , Khanna Sanjeev , Mondal D. P.
Published: February 2020

The present work was addressed to the closed-cell aluminum (Al)-silicon carbide (SiC) particles (15 wt.%) with graphene (0.5 wt.%) reinforced hybrid composite foam, which was produced through the melt route process. Under the strain rates ranging from 500 s-1 to 2760 s-1, the compression deformation behavior of hybrid composite foam was executed. The compression results disclosed that plateau stress along with energy absorption of produced hybrid composite foam are heightened with strain rates and is also discovered to be responsive to the relative density under the confront domain of experiments. Analysis of Variance was deployed for optimizing parameters such as strain rates, mass, density, relative density, and pore size. Furthermore, the contribution of each optimized parameters on plateau stress and energy absorption were observed.
Selection of Collagen Membranes for Bone Regeneration: A Literature Review
Authors: Sbricoli Luca , Guazzo Riccardo , Annunziata Marco , Gobbato Luca , Bressan Eriberto , Nastri Livia
Published: February 2020

Several treatment modalities have been proposed to regenerate bone, including guided bone regeneration (GBR) where barrier membranes play an important role by isolating soft tissue and allowing bone to grow. Not all membranes biologically behave the same way, as they differ from their origin and structure, with reflections on their mechanical properties and on their clinical performance. Collagen membranes have been widely used in medicine and dentistry, because of their high biocompatibility and capability of promoting wound healing. Recently, collagen membranes have been applied in guided bone regeneration with comparable outcomes to non-resorbable membranes. Aim of this work is to provide a review on the main features, application, outcomes, and clinical employment of the different types of collagen membranes. Comparisons with non-resorbable membranes are clarified, characteristics of cross-linked collagen versus native collagen, use of different grafting materials and need for membrane fixation are explored in order to gain awareness of the indications and limits and to be able to choose the right membrane required by the clinical condition.
Application and Technique of Liquid Crystal-Based Biosensors
Authors: Luan Chonglin , Luan Haipei , Luo Dawei
Published: February 2020

Liquid crystal biosensors are based on changes in the orientation of liquid crystal molecules induced by specific bonding events of biomolecules. These biosensors are expected to serve as a promising system to detect biomolecules, biomolecular activity, and even small chemical molecules because they are inexpensive, sensitive, simple, effective, and portable. Herein, we introduce the principle and fabrication of liquid crystal biosensors and review the research progress in signal-amplified technology for liquid crystal sensing and its application in the detection of viruses, bacteria, proteins, nucleic acids, and small chemical molecules. In addition, the current theoretical and practical issues related to liquid crystal biosensors were investigated.
The Pattern and Function of DNA Methylation in Fungal Plant Pathogens
Authors: He Chang , Zhang Zhanquan , Li Boqiang , Tian Shiping
Published: February 2020

To successfully infect plants and trigger disease, fungal plant pathogens use various strategies that are dependent on characteristics of their biology and genomes. Although pathogenic fungi are different from animals and plants in the genomic heritability, sequence feature, and epigenetic modification, an increasing number of phytopathogenic fungi have been demonstrated to share DNA methyltransferases (MTases) responsible for DNA methylation with animals and plants. Fungal plant pathogens predominantly possess four types of DNA MTase homologs, including DIM-2, DNMT1, DNMT5, and RID. Numerous studies have indicated that DNA methylation in phytopathogenic fungi mainly distributes in transposable elements (TEs), gene promoter regions, and the repetitive DNA sequences. As an important and heritable epigenetic modification, DNA methylation is associated with silencing of gene expression and transposon, and it is responsible for a wide range of biological phenomena in fungi. This review highlights the relevant reports and insights into the important roles of DNA methylation in the modulation of development, pathogenicity, and secondary metabolism of fungal plant pathogens. Recent evidences prove that there are massive links between DNA and histone methylation in fungi, and they commonly regulate fungal development and mycotoxin biosynthesis.
The Secretion of Toxins and Other Exoproteins of Cronobacter: Role in Virulence, Adaption, and Persistence
Authors: Jang Hyein , Gopinath Gopal R. , Eshwar Athmanya , Srikumar Shabarinath , Nguyen Scott , Gangiredla Jayanthi , Patel Isha R. , Finkelstein Samantha B. , Negrete Flavia , Woo JungHa , Lee YouYoung , Fanning Séamus , Stephan Roger , Tall Ben D. , Lehner Angelika
Published: February 2020

Cronobacter species are considered an opportunistic group of foodborne pathogenic bacteria capable of causing both intestinal and systemic human disease. This review describes common virulence themes shared among the seven Cronobacter species and describes multiple exoproteins secreted by Cronobacter, many of which are bacterial toxins that may play a role in human disease. The review will particularly concentrate on the virulence factors secreted by C. sakazakii, C. malonaticus, and C. turicensis, which are the primary human pathogens of interest. It has been discovered that various species-specific virulence factors adversely affect a wide range of eukaryotic cell processes including protein synthesis, cell division, and ion secretion. Many of these factors are toxins which have been shown to also modulate the host immune response. These factors are encoded on a variety of mobile genetic elements such as plasmids and transposons; this genomic plasticity implies ongoing re-assortment of virulence factor genes which has complicated our efforts to categorize Cronobacter into sharply defined genomic pathotypes.
In Vitro and Ex Vivo Antibiofilm Activity of a Lipopeptide Biosurfactant Produced by the Entomopathogenic Beauveria bassiana Strain against Microsporum canis
Authors: Abdel-Aziz Marwa M. , Al-Omar Mohsen S. , Mohammed Hamdoon A. , Emam Tamer M.
Published: February 2020

Microsporum canis is one of the most important dermatophyte causing tinea corporis and tinea capitis and its biofilm-form has a poor therapeutic response. The biosurfactant production by entomopathogenic fungi (EPF) has not been reported yet. The study aimed to investigate the potential usage of the EPF biosurfactant in the eradication of an ex vivo biofilm of Microsporum canis (M. canis) for the first time. An entomopathogenic fungus was isolated from the fungal-infected Vespa orientalis wasp and identified as Beauveria bassiana (MN173375). Chemical characterization revealed the lipopeptide nature of the B. bassiana biosurfactant (BBLP). Efficient antifungal and antibiofilm activities of BBLP against M. canis in vitro were detected. An ex vivo hair model was used to investigate the efficiency of BBLP against M. canis biofilm, in a scenario close to the in vivo conditions. M. canis ex vivo biofilm eradication was confirmed in stereo, scanning electron, and fluorescent images. Also, the ex vivo biofilm was less susceptible to BBLP treatment compared to its in vitro counterpart. In conclusion, BBLP showed significant eradication to the M. canis ex vivo biofilm and open horizons to use bio-resource derived from EPF in controlling microbial biofilm and holding great promise for combating recalcitrant dermatophytosis.
High Throughput Sediment DNA Sequencing Reveals Azo Dye Degrading Bacteria Inhabit Nearshore Sediments
Authors: Zhuang Mei , Sanganyado Edmond , Xu Liang , Zhu Jianming , Li Ping , Liu Wenhua
Published: February 2020

Estuaries and coastal environments are often regarded as a critical resource for the bioremediation of organic pollutants such as azo dyes due to their high abundance and diversity of extremophiles. Bioremediation through the activities of azoreductase, laccase, and other associated enzymes plays a critical role in the removal of azo dyes in built and natural environments. However, little is known about the biodegradation genes and azo dye degradation genes residing in sediments from coastal and estuarine environments. In this study, high-throughput sequencing (16S rRNA) of sediment DNA was used to explore the distribution of azo-dye degrading bacteria and their functional genes in estuaries and coastal environments. Unlike laccase genes, azoreductase (azoR), and naphthalene degrading genes were ubiquitous in the coastal and estuarine environments. The relative abundances of most functional genes were higher in the summer compared to winter at locations proximal to the mouths of the Hanjiang River and its distributaries. These results suggested inland river discharges influenced the occurrence and abundance of azo dye degrading genes in the nearshore environments. Furthermore, the azoR genes had a significant negative relationship with total organic carbon, Hg, and Cr (p < 0.05). This study provides critical insights into the biodegradation potential of indigenous microbial communities in nearshore environments and the influence of environmental factors on microbial structure, composition, and function which is essential for the development of technologies for bioremediation in azo dye contaminated sites.
Clinical Pharmacy Activities in Swiss Hospitals: How Have They Evolved from 2013 to 2017?
Authors: Studer Helene , Boeni Fabienne , Messerli Markus , Hersberger Kurt E. , Lampert Markus L.
Published: February 2020

The role of pharmacists is changing; in many countries, pharmacists have acquired new competencies. A survey conducted in 2013 mapped the clinical pharmacy services in Swiss hospitals by quantifying full-time equivalents (FTE) and depicting clinical pharmacy activities. The aim of this survey was to update these results and analyze the development in Swiss hospitals. An online questionnaire was sent to chief hospital pharmacists (n = 60). The questionnaire was developed based on the previous survey and on a literature search. The survey took place from June to September 2017. In the survey, 44 hospital pharmacies participated (return rate 73%). They counted 265.8 FTE for pharmacists; 31 offered clinical pharmacy services. Hospitals participating in both surveys (n = 32) showed a significant increase in FTE for hospital (+24.5%) and clinical (+62.7%) pharmacists. The number of training positions available for the certificate of proficiency in “clinical pharmacy” has increased by 5.5. Patient-related services are less commonly implemented in comparison to treatment and process-related services. In conclusion, the increase in FTE of clinical pharmacists was more pronounced than of hospital pharmacists in general. For further development and broader implementation of clinical pharmacy services, however, hospital pharmacies should increase the number of training positions and should direct more activities towards patient-related services.
Fast Frame Synchronization Design and FPGA Implementation in SF-BOTDA
Authors: Pan Qiuyi , Huang Xincheng , Min Rui , Liu Weiping
Published: February 2020

To address the issues of high time consumption of frame synchronization involved in a scanning-free Brillouin optical time-domain analysis (SF-BOTDA) system, a fast frame synchronization algorithm based on incremental updating was proposed. In comparison to the standard frame synchronization algorithm, the proposed one significantly reduced the processing time required for the BOTDA system frame synchronization by about 98%. In addition, to further accelerate the real-time performance of frame synchronization, a field programmable gate array (FPGA) hardware implementation architecture based on parallel processing and pipelining mechanisms was also proposed. Compared with the software implementation, it further raised the processing speed by 13.41 times. The proposed approach could lay a foundation for the BOTDA system in the field with the associated high real-time requirements.
Topological Protection and Control of Quantum Markovianity
Authors: Giorgi Gian , Lorenzo Salvatore , Longhi Stefano
Published: February 2020

Under the Born–Markov approximation, a qubit system, such as a two-level atom, is known to undergo a memoryless decay of quantum coherence or excitation when weakly coupled to a featureless environment. Recently, it has been shown that unavoidable disorder in the environment is responsible for non-Markovian effects and information backflow from the environment into the system owing to Anderson localization. This turns disorder into a resource for enhancing non-Markovianity in the system–environment dynamics, which could be of relevance in cavity quantum electrodynamics. Here we consider the decoherence dynamics of a qubit weakly coupled to a two-dimensional bath with a nontrivial topological phase, such as a two-level atom embedded in a two-dimensional coupled-cavity array with a synthetic gauge field realizing a quantum-Hall bath, and show that Markovianity is protected against moderate disorder owing to the robustness of chiral edge modes in the quantum-Hall bath. Interestingly, switching off the gauge field, i.e., flipping the bath into a topological trivial phase, allows one to re-introduce non-Markovian effects. Such a result indicates that changing the topological phase of a bath by a tunable synthetic gauge field can be harnessed to control non-Markovian effects and quantum information backflow in a qubit-environment system.
Evaluating the Thermal Behavior of a Sustainable Room and Roof Prototype Using Recycled Waste Materials
Authors: Ceja Soto Flavio Roberto , Pérez Bueno José de Jesús , Mendoza López Maria Luisa , Pérez Ramos Martha Elba , Reyes Araiza José Luis , Ramírez Jiménez Rubén , Manzano-Ramírez Alejandro
Published: February 2020

This work shows a proposed room prototype and its thermal behavior evaluation. The room was built by using polyethylene terephthalate (PET) bottles filled with soil from the site for its walls and a roof made of multiple layers of reused materials. The construction had a green roof and skylights that were constructed out of upcycled entire glass bottles. Thermal measurements were made indoors and outdoors over the course of one year. Temperature and humidity sensors were used for internal measurements, and, at the same time, a reference sensor recorded data that corresponded to external environmental conditions. The constructed building differed by an average of 8.5 °C from the reference measurements of the external environment and an average of 24.24% in relative humidity. Thermograms were taken from the outside walls, which reached 54.2 °C, while internal wall temperatures reached 25.5 °C. Additionally, a thermal transfer simulation of the prototype was accomplished by using COMSOL Multiphysics. Simulation results approximated the experimental data. The prototype had low daily thermal fluctuations, which was considered a desirable thermal behavior. These results, along with the self-building practices, low costs, and reuse of waste materials, makes this kind of building a potentially feasible alternative.
A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images
Authors: Adriano Bruno , Yokoya Naoto , Miura Hiroyuki , Matsuoka Masashi , Koshimura Shunichi
Published: February 2020

The rapid and accurate mapping of large-scale landslides and other mass movement disasters is crucial for prompt disaster response efforts and immediate recovery planning. As such, remote sensing information, especially from synthetic aperture radar (SAR) sensors, has significant advantages over cloud-covered optical imagery and conventional field survey campaigns. In this work, we introduced an integrated pixel-object image analysis framework for landslide recognition using SAR data. The robustness of our proposed methodology was demonstrated by mapping two different source-induced landslide events, namely, the debris flows following the torrential rainfall that fell over Hiroshima, Japan, in early July 2018 and the coseismic landslide that followed the 2018 Mw6.7 Hokkaido earthquake. For both events, only a pair of SAR images acquired before and after each disaster by the Advanced Land Observing Satellite-2 (ALOS-2) was used. Additional information, such as digital elevation model (DEM) and land cover information, was employed only to constrain the damage detected in the affected areas. We verified the accuracy of our method by comparing it with the available reference data. The detection results showed an acceptable correlation with the reference data in terms of the locations of damage. Numerical evaluations indicated that our methodology could detect landslides with an accuracy exceeding 80%. In addition, the kappa coefficients for the Hiroshima and Hokkaido events were 0.30 and 0.47, respectively.
Ultrahigh Resolution Scatterometer Winds near Hawaii
Authors: Hutchings Nolan , Kilpatrick Thomas , Long David G.
Published: February 2020

Hawaii regional climate model (HRCM), QuikSCAT, and ASCAT wind estimates are compared in the lee of Hawaii’s Big Island with the goal of understanding ultrahigh resolution (UHR) scatterometer wind retrieval capabilities in this area, which includes a reverse-flow toward the island in the lee of the predominate flow. A comparison of scatterometer measured σ 0 and model predicted σ 0 suggests that scatterometers can detect the reverse flow in the lee of the island; however, neither QuikSCAT- nor ASCAT-estimated winds consistently report this flow. Furthermore, the scatterometer UHR winds do not resolve the wind direction features predicted by the HRCM. Differences between scatterometer measured σ 0 and HRCM predicted σ 0 indicate possible error in the placement of key reverse flow features predicted by the HRCM. We find that coarse initialization fields and a large size median filter windows used in ambiguity selection can impede the accuracy of the UHR wind direction retrieval in this area, suggesting the need for further development of improved near-coastal ambiguity selection algorithms.
Wearable Device to Monitor Back Movements Using an Inductive Textile Sensor
Authors: García Patiño Astrid , Khoshnam Mahta , Menon Carlo
Published: February 2020

Low back pain (LBP) is the most common work-related musculoskeletal disorder among healthcare workers and is directly related to long hours of working in twisted/bent postures or with awkward trunk movements. It has already been established that providing relevant feedback helps individuals to maintain better body posture during the activities of daily living. With the goal of preventing LBP through objective monitoring of back posture, this paper proposes a wireless, comfortable, and compact textile-based wearable platform to track trunk movements when the user bends forward. The smart garment developed for this purpose was prototyped with an inductive sensor formed by sewing a copper wire into an elastic fabric in a zigzag pattern. The results of an extensive simulation study showed that this unique design increases the inductance value of the sensor, and, consequently, improves its resolution. Furthermore, experimental evaluation on a healthy participant confirmed that the proposed wearable system with the suggested sensor design can easily detect forward bending movements. The evaluation scenario was then extended to also include twisting and lateral bending of the trunk, and it was observed that the proposed design can successfully discriminate such movements from forward bending of the trunk. Results of the magnetic interference test showed that, most notably, moving a cellphone towards the unworn prototype affects sensor readings, however, manipulating a cellphone, when wearing the prototype, did not affect the capability of the sensor in detecting forward bends. The proposed platform is a promising step toward developing wearable systems to monitor back posture in order to prevent or treat LBP.