Renova: how to grow business out of the tissue category in Portugal communications plan

Elif UZ, Uludağ Üniversitesi, Türkiye Ercan ÖZGAN, Düzce Üniversitesi, Türkiye Erol BURDURLU, Gazi Üniversitesi, Türkiye Ethem TOKLU, Düzce Üniversitesi, Türkiye Fahri VATANSEVER, Uludağ Üniversitesi, Türkiye Fatih TAŞPINAR, Düzce Üniversitesi, Türkiye H.Hüseyin CİRİTCİOĞLU, Düzce Üniversitesi, Türkiye Hakan AKTAŞ, Süleyman Demirel Üniversitesi, Türkiye Hakan ALTINÇEKİÇ, İstanbul Üniversitesi, Türkiye Hakan HOCAOĞLU, Gebze Yüksek Teknoloji Enstitüsü, Türkiye Hüseyin EKİZ, Süleyman Şah Üniversitesi, Türkiye İbrahim YÜCEDAĞ, Düzce Üniversitesi, Türkiye İlyas UYGUR, Düzce Üniversitesi, Türkiye İsmail TORÖZ, İstanbul Teknik Üniversitesi, Türkiye İsmet YILDIZ, Düzce Üniversitesi, Türkiye Mehmet BUDAKÇI, Düzce Üniversitesi, Türkiye Memiş IŞIK, Karabük Üniversitesi, Türkiye Meral KEKEÇOĞLU, Düzce Üniversitesi, Türkiye Muharrem GÖKÇEN, Düzce Üniversitesi, Türkiye Murat KALE, Düzce Üniversitesi, Türkiye Murat SİPAHİOĞLU, Yüzüncü Yıl Üniversitesi, Türkiye Mustafa ERKOVAN, Sakarya Üniversitesi, Türkiye Mustafa OKUTAN, Yıldız Teknik Üniversitesi, Türkiye Raşit TURAN, Orta Doğu Teknik Üniversitesi, Türkiye Salih TOSUN, Düzce Üniversitesi, Türkiye Selçuk ÖZMEN, Düzce Üniversitesi, Türkiye Seyhan FIRAT, Gazi Üniversitesi, Türkiye Suat SARIDEMİR, Düzce Üniversitesi, Türkiye Şerife Gülsün KIRANKAYA, Düzce Üniversitesi, Türkiye Uğur GÜVENÇ, Düzce Üniversitesi, Türkiye Yasin KİŞİOĞLU, Kocaeli Üniversitesi, Türkiye Yusuf AVCI, Bahçeşehir Üniversitesi, Türkiye Zeki DEMİR, Düzce Üniversitesi, Türkiy

Fast computational aeroelastic analysis of helicopter rotor blades

The use of a new aeroelastic computer framework called Flexit is described and the frame-work is used to analyse the dynamic aeroelastic behaviour of a four-bladed helicopter main rotor. Flexit implements a loose coupling between unsteady vortex lattice method (UVLM) and numerical solution of the inhomogeneous Euler-Bernoulli partial differential equation (PDE).The framework is fast because most of the intensive computational functionality is performed on GPU using NVIDIA CUDA technology, and this makes it suitable for use in the early de-sign stages. The UVLM algorithm uses a free wake model, and solution of the Euler-Bernoulli PDE is approximated using a finite difference algorithm that includes a term to take account of centrifugal forces. The results of simulations are compared with analysis performed with CFD and FSI tools

A novel mammalian expression system derived from components coordinating nicotine degradation in arthrobacter nicotinovorans pAO1

We describe the design and detailed characterization of 6-hydroxy-nicotine (6HNic)-adjustable transgene expression (NICE) systems engineered for lentiviral transduction and in vivo modulation of angiogenic responses. Arthrobacter nicotinovorans pAO1 encodes a unique catabolic machinery on its plasmid pAO1, which enables this Gram-positive soil bacterium to use the tobacco alkaloid nicotine as the exclusive carbon source. The 6HNic-responsive repressor-operator (HdnoR-ONIC) interaction, controlling 6HNic oxidase production in A.nicotinovorans pAO1, was engineered for generic 6HNic-adjustable transgene expression in mammalian cells. HdnoR fused to different transactivation domains retained its ONIC-binding capacity in mammalian cells and reversibly adjusted transgene transcription from chimeric ONIC-containing promoters (PNIC; ONIC fused to a minimal eukaryotic promoter [Pmin]) in a 6HNic-responsive manner. The combination of transactivators containing various transactivation domains with promoters differing in the number of operator modules as well as in their relative inter-ONIC and/or ONIC-Pmin spacing revealed steric constraints influencing overall NICE regulation performance in mammalian cells. Mice implanted with microencapsulated cells engineered for NICE-controlled expression of the human glycoprotein secreted placental alkaline phosphatase (SEAP) showed high SEAP serum levels in the absence of regulating 6HNic. 6HNic was unable to modulate SEAP expression, suggesting that this nicotine derivative exhibits control-incompatible pharmacokinetics in mice. However, chicken embryos transduced with HIV-1-derived self-inactivating lentiviral particles transgenic for NICE-adjustable expression of the human vascular endothelial growth factor 121 (VEGF121) showed graded 6HNic response following administration of different 6HNic concentrations. Owing to the clinically inert and highly water-soluble compound 6HNic, NICE-adjustable transgene control systems may become a welcome alternative to available drug-responsive homologs in basic research, therapeutic cell engineering and biopharmaceutical manufacturin

A novel mammalian expression system derived from components coordinating nicotine degradation in arthrobacter nicotinovorans pAO1

We describe the design and detailed characterization of 6-hydroxy-nicotine (6HNic)-adjustable transgene expression (NICE) systems engineered for lentiviral transduction and in vivo modulation of angiogenic responses. Arthrobacter nicotinovorans pAO1 encodes a unique catabolic machinery on its plasmid pAO1, which enables this Gram-positive soil bacterium to use the tobacco alkaloid nicotine as the exclusive carbon source. The 6HNic-responsive repressor-operator (HdnoR-O(NIC)) interaction, controlling 6HNic oxidase production in A.nicotinovorans pAO1, was engineered for generic 6HNic-adjustable transgene expression in mammalian cells. HdnoR fused to different transactivation domains retained its O(NIC)-binding capacity in mammalian cells and reversibly adjusted transgene transcription from chimeric O(NIC)-containing promoters (P(NIC); O(NIC) fused to a minimal eukaryotic promoter [P(min)]) in a 6HNic-responsive manner. The combination of transactivators containing various transactivation domains with promoters differing in the number of operator modules as well as in their relative inter-O(NIC) and/or O(NIC)-P(min) spacing revealed steric constraints influencing overall NICE regulation performance in mammalian cells. Mice implanted with microencapsulated cells engineered for NICE-controlled expression of the human glycoprotein secreted placental alkaline phosphatase (SEAP) showed high SEAP serum levels in the absence of regulating 6HNic. 6HNic was unable to modulate SEAP expression, suggesting that this nicotine derivative exhibits control-incompatible pharmacokinetics in mice. However, chicken embryos transduced with HIV-1-derived self-inactivating lentiviral particles transgenic for NICE-adjustable expression of the human vascular endothelial growth factor 121 (VEGF(121)) showed graded 6HNic response following administration of different 6HNic concentrations. Owing to the clinically inert and highly water-soluble compound 6HNic, NICE-adjustable transgene control systems may become a welcome alternative to available drug-responsive homologs in basic research, therapeutic cell engineering and biopharmaceutical manufacturing

Analyse et optimisation du comportement en fatigue des réservoirs d'hydrogène gazeux de type III = Analysis and optimisation of the fatigue lifetime of hydrogen high pressure tanks

National audienceLa présente étude explicite une méthode de dimensionnement d'un réservoir d'hydrogène haute pression soit 700 bar. Ce type de réservoir est composé d'un liner métallique et d'un renfort en composite. Un bon dimensionnement est nécessaire pour l'utilisation de ce type de réservoir en toute sécurité dans la mesure où des problèmes de fatigue apparaissent lorsque la structure est soumise à des hautes pressions de façon répétée

Development of a computational model of abscess formation

In some bacterial infections, the immune system cannot eliminate the invading pathogen. In these cases, the invading pathogen is successful in establishing a favorable environment to survive and persist in the host organism. For example, S. aureus bacteria survive in organ tissues employing a set of mechanisms that work in a coordinated and highly regulated way allowing: (1) efficient impairment of the immune response; and (2) protection from the immune cells and molecules. S. aureus secretes several proteins including coagulases and toxins that drive abscess formation and persistence. Unless staphylococcal abscesses are surgically drained and treated with antibiotics, disseminated infection and septicemia produce a lethal outcome. Within this context, this paper develops a simple mathematical model of abscess formation incorporating characteristics that we judge important for an abscess to be formed. Our aim is to build a mathematical model that reproduces some characteristics and behaviors that are observed in the process of abscess formation.Peer ReviewedPostprint (published version

Countrywide mapping of shrub forest using multi-sensor data and bias correction techniques

The continual increase of shrub forest in the Swiss Alps over the past few decades impacts biodiversity, forest succession and the protective function of forests. Therefore, up-to-date and area-wide information on its distribution is of great interest. To detect the shrub forest areas for the whole of Switzerland (41,285 km2), we developed an approach that uses Random Forest (RF), bias correction techniques and data from multiple remote sensing sources. Manual aerial orthoimage interpretation of shrub forest areas was conducted in a non-probabilistic way to derive initial training data. The multi-sensor and open access predictor data included digital terrain and vegetation height models obtained from Airborne Laser Scanning (ALS) and stereo-imagery, as well as Synthetic Aperture Radar (SAR) backscatter from Sentinel-1 and multispectral imagery from Sentinel-2. To mitigate the expected bias due to the training data sampling strategy, two techniques using RF probability estimates were tested to improve mapping accuracy. 1) an iterative and semi-automated active learning technique was used to generate further training data and 2) threshold-moving related object growing was applied. Both techniques facilitated the production of a shrub forest map for the whole of Switzerland at a spatial resolution of 10 m. An accuracy assessment was performed using independent data covering 7640 regularly distributed National Forest Inventory (NFI) plots. We observed the influence of the bias correction techniques and found higher accuracies after each performed iteration. The Mean Absolute Error (MAE) for the predicted shrub forest proportion was reduced from 6.04% to 2.68% while achieving a Mean Bias Error (MBE) of close to 0. The present study underscores the potential of combining multi-sensor data with bias correction techniques to provide cost-effective and accurate countrywide detection of shrub forest. Moreover, the map complements currently available NFI plot sample point data