Assortative and modular networks are shaped by adaptive synchronization processes

Modular organization and degree-degree correlations are ubiquitous in the connectivity structure of biological, technological, and social interacting systems. So far most studies have concentrated on unveiling both features in real world networks, but a model that succeeds in generating them simultaneously is needed. We consider a network of interacting phase oscillators, and an adaptation mechanism for the coupling that promotes the connection strengths between those elements that are dynamically correlated. We show that, under these circumstances, the dynamical organization of the oscillators shapes the topology of the graph in such a way that modularity and assortativity features emerge spontaneously and simultaneously. In turn, we prove that such an emergent structure is associated with an asymptotic arrangement of the collective dynamical state of the network into cluster synchronization

Study of Malachite Green Adsorption using Tannin-Based Adsorbent (TBA) from Mangrove Bark (Rhizophora mucronata)

The growing of industrial activity causes side effects in the form of environmental pollution. One of the causes of environmental pollution is the content of Malachite Green (MG) in wastewater. When consumed, water consists of high MG levels can cause health problems, such as immune system disorders, cancer triggers, and DNA damage, so it is necessary to reduce MG levels before being discharged into the environment. Adsorption is one method to reduce MG levels. One of the raw materials for making adsorbents is mangrove bark, because it contains 20-30% crude tannin, by changing it to Tannin Based Adsorbent (TBA). This study aimed to study the MG waste adsorption using TBA from mangrove bark. In this research, tannin was obtained by extraction using Microwave Assisted Extraction (MAE) method, then it was modified to TBA through a polymerization process using formaldehyde. Analysis using FTIR Spectrophotometer was conducted to confirm the functional groups of TBA and standard tannin. After that the adsorption process is carried out by varying the ratio of the adsorbent mass : waste volume, temperature and adsorption time. MG content analysis was performed using a UV-VIS Spectrophotometer. SEM analysis was done to observe the surface of TBA before and after the adsorption process. The results showed that the highest percent MG removal was achieved at an adsorbent mass ratio: MG volume of 1: 100 gram / mL, adsorption temperature of 60ºC, and adsorption time of 120 minutes

Study of Malachite Green Adsorption using Tannin-Based Adsorbent (TBA) from Mangrove Bark (Rhizophora mucronata)

The growing of industrial activity causes side effects in the form of environmental pollution. One of the causes of environmental pollution is the content of Malachite Green (MG) in wastewater. When consumed, water consists of high MG levels can cause health problems, such as immune system disorders, cancer triggers, and DNA damage, so it is necessary to reduce MG levels before being discharged into the environment. Adsorption is one method to reduce MG levels. One of the raw materials for making adsorbents is mangrove bark, because it contains 20-30% crude tannin, by changing it to Tannin Based Adsorbent (TBA). This study aimed to study the MG waste adsorption using TBA from mangrove bark. In this research, tannin was obtained by extraction using Microwave Assisted Extraction (MAE) method, then it was modified to TBA through a polymerization process using formaldehyde. Analysis using FTIR Spectrophotometer was conducted to confirm the functional groups of TBA and standard tannin. After that the adsorption process is carried out by varying the ratio of the adsorbent mass : waste volume, temperature and adsorption time. MG content analysis was performed using a UV-VIS Spectrophotometer. SEM analysis was done to observe the surface of TBA before and after the adsorption process. The results showed that the highest percent MG removal was achieved at an adsorbent mass ratio: MG volume of 1: 100 gram / mL, adsorption temperature of 60ºC, and adsorption time of 120 minutes

A genome-wide association study identifies risk alleles in plasminogen and P4HA2 associated with giant cell arteritis

Giant cell arteritis (GCA) is the most common form of vasculitis in individuals older than 50 years in Western countries. To shed light onto the genetic background influencing susceptibility for GCA, we performed a genome-wide association screening in a well-powered study cohort. After imputation, 1,844,133 genetic variants were analysed in 2,134 cases and 9,125 unaffected controls from ten independent populations of European ancestry. Our data confirmed HLA class II as the strongest associated region (independent signals: rs9268905, P = 1.94E-54, per-allele OR = 1.79; and rs9275592, P = 1.14E-40, OR = 2.08). Additionally, PLG and P4HA2 were identified as GCA risk genes at the genome-wide level of significance (rs4252134, P = 1.23E-10, OR = 1.28; and rs128738, P = 4.60E-09, OR = 1.32, respectively). Interestingly, we observed that the association peaks overlapped with different regulatory elements related to cell types and tissues involved in the pathophysiology of GCA. PLG and P4HA2 are involved in vascular remodelling and angiogenesis, suggesting a high relevance of these processes for the pathogenic mechanisms underlying this type of vasculitis

The Potential of Antimicrobial Peptides as Biocides

Antimicrobial peptides constitute a diverse class of naturally occurring antimicrobial molecules which have activity against a wide range of pathogenic microorganisms. Antimicrobial peptides are exciting leads in the development of novel biocidal agents at a time when classical antibiotics are under intense pressure from emerging resistance, and the global industry in antibiotic research and development stagnates. This review will examine the potential of antimicrobial peptides, both natural and synthetic, as novel biocidal agents in the battle against multi-drug resistant pathogen infections

Investigation of inter- and intraspecies variation through genome sequencing of Aspergillus section Nigri

Aspergillus section Nigri comprises filamentous fungi relevant to biomedicine, bioenergy, health, and biotechnology. To learn more about what genetically sets these species apart, as well as about potential applications in biotechnology and biomedicine, we sequenced 23 genomes de novo, forming a full genome compendium for the section (26 species), as well as 6 Aspergillus niger isolates. This allowed us to quantify both inter-and intraspecies genomic variation. We further predicted 17,903 carbohydrateactive enzymes and 2,717 secondary metabolite gene clusters, which we condensed into 455 distinct families corresponding to compound classes, 49% of which are only found in single species. We performed metabolomics and genetic engineering to correlate genotypes to phenotypes, as demonstrated for the metabolite aurasperone, and by heterologous transfer of citrate production to Aspergillus nidulans. Experimental and computational analyses showed that both secondary metabolism and regulation are key factors that are significant in the delineation of Aspergillus species.Peer reviewe

Simple scoring system to predict in-hospital mortality after surgery for infective endocarditis

BACKGROUND: Aspecific scoring systems are used to predict the risk of death postsurgery in patients with infective endocarditis (IE). The purpose of the present study was both to analyze the risk factors for in-hospital death, which complicates surgery for IE, and to create a mortality risk score based on the results of this analysis. METHODS AND RESULTS: Outcomes of 361 consecutive patients (mean age, 59.1\ub115.4 years) who had undergone surgery for IE in 8 European centers of cardiac surgery were recorded prospectively, and a risk factor analysis (multivariable logistic regression) for in-hospital death was performed. The discriminatory power of a new predictive scoring system was assessed with the receiver operating characteristic curve analysis. Score validation procedures were carried out. Fifty-six (15.5%) patients died postsurgery. BMI >27 kg/m2 (odds ratio [OR], 1.79; P=0.049), estimated glomerular filtration rate 55 mm Hg (OR, 1.78; P=0.032), and critical state (OR, 2.37; P=0.017) were independent predictors of in-hospital death. A scoring system was devised to predict in-hospital death postsurgery for IE (area under the receiver operating characteristic curve, 0.780; 95% CI, 0.734-0.822). The score performed better than 5 of 6 scoring systems for in-hospital death after cardiac surgery that were considered. CONCLUSIONS: A simple scoring system based on risk factors for in-hospital death was specifically created to predict mortality risk postsurgery in patients with IE

Approche théorique du diagnostic médical

PARIS6-Bibl.Pitié-Salpêtrie (751132101) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF

Infections disséminées à salmonelles dans les défauts génétiques de la voie de l'Interleukine 12

PARIS6-Bibl.Pitié-Salpêtrie (751132101) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF