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Lucie Reinišová,Filip Novotný,Martin Pumera,Katarína Kološtová,Soňa Hermanová 한국고분자학회 2018 Macromolecular Research Vol.26 No.11
Aliphatic polycarbonate-based block copolymers have received considerable attention as carriers for targeted drug and gene delivery because of their biocompatibility and biodegradability. However, there is little understanding of their phase behaviour and physicochemical characterization of the particles made from them. Here, we prepared a series of well-defined poly(trimethylene carbonate) (PTMC)- based copolymers with molar masses of 3-9 kg·mol-1 by metal-free ring-opening polymerization using dihydroxy-terminated poly(ethylene oxide) as a macroinitiator. Micellar nanoparticles self-assembled from copolymers had a size of less than 130 nm. They were degraded by the action of a model lipase from Mucor Miehei at 37 °C, which is of high importance for biodegradability in the living organism. X-ray diffraction and differential scanning calorimetry proved that amorphous copolymers with more than 39 mol% of carbonate units and representative particles were prone to the rearrangement of PTMC chains during storage and to thus undergo post-crystallization. Our findings can contribute to the comprehensive characterization of polycarbonate biomaterials for medical applications.
Incorporating Recognition in Catfish Counting Algorithm Using Artificial Neural Network and Geometry
( Ibrahim Aliyu ),( Kolo Jonathan Gana ),( Aibinu Abiodun Musa ),( Mutiu Adesina Adegboye ),( Chang Gyoon Lim ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.12
One major and time-consuming task in fish production is obtaining an accurate estimate of the number of fish produced. In most Nigerian farms, fish counting is performed manually. Digital image processing (DIP) is an inexpensive solution, but its accuracy is affected by noise, overlapping fish, and interfering objects. This study developed a catfish recognition and counting algorithm that introduces detection before counting and consists of six steps: image acquisition, pre-processing, segmentation, feature extraction, recognition, and counting. Images were acquired and pre-processed. The segmentation was performed by applying three methods: image binarization using Otsu thresholding, morphological operations using fill hole, dilation, and opening operations, and boundary segmentation using edge detection. The boundary features were extracted using a chain code algorithm and Fourier descriptors (CH-FD), which were used to train an artificial neural network (ANN) to perform the recognition. The new counting approach, based on the geometry of the fish, was applied to determine the number of fish and was found to be suitable for counting fish of any size and handling overlap. The accuracies of the segmentation algorithm, boundary pixel and Fourier descriptors (BD-FD), and the proposed CH-FD method were 90.34%, 96.6%, and 100% respectively. The proposed counting algorithm demonstrated 100% accuracy.
A Novel Needleless Electrospinning System Using a Moving Conventional Yarn as the Spinneret
Hai-Jun He,Cheng-Kun Liu,Kolos Molnar 한국섬유공학회 2018 Fibers and polymers Vol.19 No.7
A novel electrospinning system for the mass production of nanofibers using a moving conventional yarn as the spinneret was designed. In the process of electrospinning, a large number of jets were ejected from the surface of the polymer liquid carried by the yarn. The effects of conductivity, surface structure and fineness of the yarn on the morphology and productivity of the obtained nanofibers were discussed in the research. Results indicate that the productivity of nanofibers can be increased up to 1.17 g/h with our method, which is a more than fourfold enhancement compared to less than 0.3 g/h with the method of single-needle electrospinning. Both issues of needle clogging in needle electrospinning and intense solvent evaporation due to the open solution surface in most needleless electrospinning techniques can be avoided.
International comparison CCQM-K84-carbon monoxide in synthetic air at ambient level
Lee, Jeongsoon,Moon, Dongmin,Lee, Jinbok,Lim, Jeongsik,Hall, Brad,Novelli, Paul,Brewer, Paul J,Miller, Michael,Murugun, Arul,Minarro, Marta Doval,Qiao, Han,Shuguo, Hu,Konopelko, L A,Kustikov, Y A,Kolo BUREAU INTERNATIONAL DES POIDS ET MESURES 2017 METROLOGIA -BERLIN- Vol.54 No.1