52 research outputs found
Tracking Traction Force Changes of Single Cells on the Liquid Crystal Surface
YesCell migration is a key contributor to wound repair. This study presents findings indicating that the liquid crystal based cell traction force transducer (LCTFT) system can be used in conjunction with a bespoke cell traction force mapping (CTFM) software to monitor cell/surface traction forces from quiescent state in real time. In this study, time-lapse photo microscopy allowed cell induced deformations in liquid crystal coated substrates to be monitored and analyzed. The results indicated that the system could be used to monitor the generation of cell/surface forces in an initially quiescent cell, as it migrated over the culture substrate, via multiple points of contact between the cell and the surface. Future application of this system is the real-time assaying of the pharmacological effects of cytokines on the mechanics of cell migration
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Sintering microstructure and mechanical properties of PM manganese-molybdenum steels
YesThe effects of 0·5 wt-%Mo addition on the processing, microstructure, and strength of PM Fe¿3·5Mn¿0·7C steel are described. Water atomised and sponge irons, Astaloy 1·5Mo, milled ferromanganese, and graphite were the starting powders. During sintering in 75H2 /25N2 or pure hydrogen the dewpoint was controlled and monitored; in particular the effects of improving it from -35 to -60°C were investigated. Faster heating rates (20 K min-1), sufficient gas flowrates, milling the ferro alloy under nitrogen, a low dewpoint (<-60°C), and a getter powder can all contribute to the reduction or prevention of oxidation of the manganese, in particular formation of oxide networks in the sintered steels. For 600 MPa compaction pressure densities up to 7·1 g cm-3 were obtained; these were not significantly affected by sintering at temperatures up to 1180°C. The sintered microstructures were sensitively dependent on the cooling rate. Irrespective of the presence of Mo, slow furnace cooling at 4 K min-1 resulted in mainly pearlitic structures with some ferrite and coarse bainite, whereas fast cooling at 40 K min-1 produced martensite and some retained austenite, very fine pearlite, bainite, and some ferrite. Young's modulus, determined by tensile and ultrasonic tests, was in the range 110¿155 GPa. Sintering with -60°C dewpoint resulted in tensile and transverse rupture strengths of420 and 860 MPa for the Mn steel, rising to 530 and1130 MPa as a result of the Mo addition. This contrasts with strength decreases observed when processing included use of high oxygen containing ferromanganese and sintering with -35°C dewpoint
Characterization and Biocompatibility Study of Nematic and Cholesteryl Liquid Crystals.
noIntensive research in bio-engineering has been conducted in the search for flexible biomaterials that could support cell growth and cells attachment. Flexible synthetic materials that support cell growth without the aid of synthetic extracellular matrix proteins are still rare. Cholesteryl liquid crystal containing cholesteryl moieties may have suitable biological affinity. Human keratinocytes (HaCat) were cultured with a nematic liquid crystal and three cholesteryl liquid crystals of different formulation. Subsequently, the trypan blue dye exclusion assay was used to determine cell viability in the liquid crystals. The two classes of liquid crystal were characterized by Differential Scanning Calorimeter (DSC) and polarizing microscope (POM) to understand the nature of the interface material. The cell viability study in medium containing liquid crystals verified that liquid crystals had no effects on cell viability. However, only the surface of cholesteryl liquid crystal has shown affinity to HaCat cells. In addition, cells continued to proliferate in the presence of liquid crystals without a change of medium for eight days. No sign of exothermic and endothermic activities at 370C were observed from the DSC test results for the three samples. Biological and mechanical test result of the cholesteryl liquid crystals has shown that cholesteryl liquid crystals are non toxic and support cell attachment without extracellular matrix protein at very low elasticity
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Effect of transforming growth factor-β on up/down regulation of integrin-β1 in primary chondrocyte culture
yesRegeneration of a damaged or non-functioning tissue requires adhesion of cells to their extracellular matrix (ECM). Thus the investigation of the level of synthesised cell adhesion molecules (CAMs) in cell culture systems play major roles in cell and tissue engineering. Adhesion of chondrocyte to a collagen type-II rich matrix, is dependent on cell adhesion molecules (CAMs) and integrins and cells adhere to ECM through integrins
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Comparison of two different indentation techniques in studying the in-situ viscoelasticity behavior of liquid crystals
YesLiquid crystal is a new emerging biomaterial. The physical property of liquid crystal plays a role in supporting the
adhesion of cells. Nano and microball indentation techniques were applied to determine the elastic modulus or
viscoelasticity of the cholesteryl ester liquid crystals in the culture media. Nano-indentation results (108 ± 19.78 kPa, N =
20) agreed well with the microball indentation (110 ± 19.95 kPa, N = 60) for the liquid crystal samples incubated for 24
hours at 37o
C, respectively. However, nanoindentation could not measure the modulus of the liquid crystal (LC) incubated
more than 24 hours. This is due to the decreased viscosity of the liquid crystal after immersion in the cell culture media for
more than 24 hours. Alternatively, microball indentation was used and the elastic modulus of the LC immersed for 48
hours was found to decrease to 55 ± 9.99 kPa (N = 60). The microball indentation indicated that the LC did not creep after
40 seconds of indentation. However, the elastic modulus of the LC was no longer measurable after 72 hours of incubation
due to the lost of elasticity. Microball indentation seemed to be a reliable technique in determining the elastic moduli of the
cholesteryl ester liquid crystals.Science Fund Vot. No. S024 or Project No. 02- 01-13-SF0104 and FRGS Vot. No. 1482 awarded by Malaysia Ministry of Educatio
A Novel Algorithm for Human Fall Detection using Height, Velocity and Position of the Subject from Depth Maps
Human fall detection systems play an important role in our daily life, because falls are the main obstacle for elderly people to live independently and it is also a major health concern due to aging population. Different approaches are used to develop human fall detection systems for elderly and people with special needs. The three basic approaches include some sort of wearable devices, ambient based devices or non-invasive vision-based devices using live cameras. Most of such systems are either based on wearable or ambient sensor which is very often rejected by users due to the high false alarm and difficulties in carrying them during their daily life activities. This paper proposes a fall detection system based on the height, velocity and position of the subject using depth information from Microsoft Kinect sensor. Classification of human fall from other activities of daily life is accomplished using height and velocity of the subject extracted from the depth information. Finally position of the subject is identified for fall confirmation. From the experimental results, the proposed system was able to achieve an average accuracy of 94.81% with sensitivity of 100% and specificity of 93.33%
Effect of screw configuration on the dispersion and properties of polypropylene/multiwalled carbon nanotube composite
YesThe effect of extruder screw configuration on the dispersion and properties of compatibilised polypropylene (PP)/multi‐walled carbon nanotube (MCNT) composite is investigated. Three principle screw designs with mainly conveying elements (medium intensity), kneading elements (high intensity), and folding elements (chaotic mixing) were used to prepare polypropylene nanocomposites containing 4wt% of maleic anhydride grafted polypropylene (MAH‐g‐PP) compatibilizer and different nanotube loadings. The effect of each screw configuration and nanotube loading on the tensile, rheological, and electrical properties of the nanocomposites were studied. The screw configurations were found to have a strong influence on the electrical resistivity while only slightly affected the tensile properties of the nanocomposites. Scanning electron microscopy examinations showed that the use of screw configuration consisting of kneading elements promoted the dispersion of nanotubes and resulted in a low electrical percolation at 2wt% of MCNT
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Electrocardiograph (ECG) circuit design and software-based processing using LabVIEW
YesThe efficiency and acquisition of a clean (diagnosable) ECG signal dependent upon the proper selection of electronic components and the techniques used for noise elimination. Given that the human body and the lead cables act as antennas, hence picking up noises from the surroundings, thus a major part in the design of an ECG device is to apply various techniques for noise reduction at the early stage of the transmission and processing of the signal. This paper, therefore, covers the design and development of a Single Chanel 3-Lead Electrocardiograph and a Software-based processing environment. Main design characteristics include reduction of common mode voltages, good protection for the patient, use of the ECG device for both monitoring and automatic extraction (measurements) of the ECG components by the software. The hardware consisted of a lead selection stage for the user to select the bipolar lead for recording, a pre-amplification stage for amplifying the differential potentials while rejecting common mode voltages, an electrical isolation stage from three filtering stages with different bandwidths for noise attenuation, a power line interference reduction stage and a final amplification stage. A program in LabVIEW was developed to further improve the quality of the ECG signal, extract all its features and automatically calculate the main ECG output waveforms. The program had two main sections: The filtering section for removing power line interference, wideband noises and baseline wandering, and the analysis section for automatically extracting and measuring all the features of the ECG in real time. A Front Panel Environment was, therefore, developed for the user interface. The present system produced ECG tracings without the influence of noise/artefacts and provided accurate detection and measurement of all the components of the ECG signal
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A novel algorithm for human fall detection using height, velocity and position of the subject from depth maps
YesHuman fall detection systems play an important role in our daily life, because falls are the main obstacle for elderly people to live independently and it is also a major health concern due to aging population. Different approaches are used to develop human fall detection systems for elderly and people with special needs. The three basic approaches include some sort of wearable devices, ambient based devices or non-invasive vision-based devices using live cameras. Most of such systems are either based on wearable or ambient sensor which is very often rejected by users due to the high false alarm and difficulties in carrying them during their daily life activities. This paper proposes a fall detection system based on the height, velocity and position of the subject using depth information from Microsoft Kinect sensor. Classification of human fall from other activities of daily life is accomplished using height and velocity of the subject extracted from the depth information. Finally position of the subject is identified for fall confirmation. From the experimental results, the proposed system was able to achieve an average accuracy of 94.81% with sensitivity of 100% and specificity of 93.33%.Partly sponsored by Center for Graduate Studies. This work is funded under the project titled “Biomechanics computational modeling using depth maps for improvement on gait analysis”. Universiti Tun Hussein Onn Malaysia for provided lab components and GPPS (Project Vot No. U462) sponsor
Removal of nutrients and heavy metals from domestic and industry using botryococcus sp.
Microphytes or microalgae are the most basic food source of many types of organisms on earth and blooms during the presence of dissolved inorganic phosphorus. Wastewater is a body of water that is dangerous to organic life forms when consumed or used. It contains many pollutants that can cause health problems and also affect the ecosystem of an environment. This study aims to improve the water quality of wastewaters using phycoremediation process. The objectives of this study are to determine the growth of Botryococcus sp. in different types of wastewater in terms of resistance and survival of Botryococcus sp. in phycoremediation performance, to measure the environmental factor effecting the growth of Botryococcus sp. of phycoremediation process, to optimize the physiochemical and heavy metal removal in different types of wastewaters and to evaluate the effectiveness of Botryococcus sp. to remove the pollutants in wastewaters. Phycoremediation or bioremediation process is using macroalgae or microalgae for removing pollutants, nutrients, xenobiotics and heavy metals from wastewater. This research was done by collecting microalgae sample, isolating and culturing the required Botryococcus sp. Growth optimization and followed by phycoremediation process is done to remove unwanted elements from wastewaters. The optimum growth rate of algae is achieved when salinity is at 0M, temperature at 330C, photoperiod at 12:12 and light intensity of 18000 Lux. Result shows that the highest nitrate removal percentage occurs in semiconductor (100%), followed by palm oil mill effluent (97.29%), textile wastewater (98.04%) and domestic wastewater (85.43%). Total Phosphorus removal indicates the highest percentage for domestic wastewater (100%), palm oil effluent (99.2%), textile wastewater (98.44%) and semiconductor (50.39%). From this research, it is found that the best overall removal of physiochemical and heavy metal content occurs in palm oil mill effluent followed by domestic wastewater, semiconductor wastewater and textile wastewater
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