cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2011.1663
title: Effect of sub-toxic concentrations of cisplatin on caveolin-1 expression and anoikis in lung cancer cells

description: Cisplatin-based chemotherapy, in certain cases, is followed by enhanced progression or increased aggressiveness of cancers. Because the molecular basis of such phenomenon is largely unclear, this study thus investigated the possible impact of cisplatin exposure on anoikis characteristics of human lung carcinoma H460 cells. Cells were treated with sub-toxic concentrations of cisplatin for 24 h, followed by detachment, and examined for viable cells. We found that cisplatin exposure caused cells to resist anoikis in a dose-dependent manner. The attenuation of cell anoikis was found to be tightly associated with the elevation of caveolin-1 (Cav-1) level in these cells. Cav-1 transfected (H460/Cav-1) cells were demonstrated in the present study to exhibit high anoikis resistance whereas ShRNA Cav-1 transfected (H460/shCav-1) cells expressed opposite behavior. Further, This study found that reactive oxygen species (ROS)-induced by cisplatin played a key role on such Cav-1 up-regulation. Cellular superoxide anion and hydrogen peroxide were up-regulated in response to cisplatin treatment; however, only hydrogen peroxide was found to induce Cav-1 elevation. Together, This findings demonstrate the novel effect of sub-toxic cisplatin treatment on cancer cells which may lead to a better understanding of cancer biology and the improvement of chemotherapy.
DOI: 10.14457/cu.the.2011.1664
title: A hybrid approach for reconstructing 3D model from oral contrast-enhanced CT colonography images

description: This dissertation proposes a hybrid framework for 3D model reconstruction from oral contrast-enhanced CT colonography images. The framework is composed of three main parts which are colon cleansing, colon wall detection, and colon segmentation and 3D model reconstruction. The first part is colon cleansing which is performed by applying K-means clustering and morphological operations. The average Gaussian low pass filter of two different sizes combined with median filter are employed to reconstruct colon wall to be as realistic as possible. The examination was performed on four datasets. The results evaluated by an expert radiologist revealed that the accuracy on colon cleansing is satisfactory. The second part is colon wall segmentation which applies enhanced gradient vector flow and hybrid edge to assist colon wall detection. The examination was performed on eight datasets and compared with the existing techniques. The results evaluated by two expert radiologists revealed that the proposed method gives better results even in difficult cases. Afterward, colon segmentation based on anatomical structures and volume analysis, is applied to images obtained from the previous parts. Finally, 3D models are reconstructed from twenty datasets.
DOI: 10.14457/cu.the.2011.1665
title: BHK-cell adapted canine rabies virus variant : mutation in intergenic phosphoprotein and matrix protein gene non-coding region may confer higher neurovirulence in adult mice

description: Attenuation of rabies virus can be achieved by passaging virus into non-neuronal cells or by modification of genetic element(s). Following serial passages of Thai canine street rabies virus, QS-05, into BHK-21 cells, gave rise to highly pathogenic virus. At seventh passage, QS-BHK-P7 virus was able to cause lethality in adult mice by peripheral intramuscular and intracerebral (IC) challenges whereas its parental isolate could only kill by IC route. Comparison of whole genome sequences revealed that there were three missense mutations, two were located in ectodomain region of glycoprotein (G) gene (non-neuronal marker S23R and H424P at non-PDZ or pathogenic/immunogenic determinant sites) and the other (I1711V) in polymerase (L) gene. Another point mutation was at the seventh adenine residue of the poly (A) signal residing between the phospho (P) and matrix (M) protein genes. Roles of such mutation in L and intergenic P-M region remain to be elucidated.
DOI: 10.14457/cu.the.2011.1666
title: Determination of malignant tumor boundary in esophageal cancer using shifted otsu threshold and active contour on PET/CT images

description: This dissertation presents an automatic method to trace the boundary of the tumor in PET image. A double-stage threshold that locates the local minimum between the Otsu’s threshold and the pixel with maximum intensity gray level within the image is proposed. The gray level in accordance with this scheme is chosen and embedded into the external force of a region-based active contour so that both algorithms are performed consecutively. The automated tumor contouring method is validated using the IEC/2001 torso phantom with six hot spheres (0.52-26.53 cc) insert and the variation of the source-to-background ratio (SBR). The results show that the tumor volumes segmented by automated algorithm are at higher accuracy than the traditional active contour. The accuracy of the detected volume is reduced in small sphere with low SBR. The least volume mismatch was at SBR 16 in the largest sphere (3.7 cm diameter) of 1.51 %. The average volume mismatch between the automated and manual method is -4.06 ± 6.35 % in clinically implemented with 10 esophageal cancer patients underwent whole-body 18F-FDG PET/CT imaging. The advantage of the study is not only to improve the precision and accuracy of PET tumor contouring, but also to use by radiation oncologist for radiation therapy planning. Furthermore, this method can contribute to clinical PET image analysis.
DOI: 10.14457/cu.the.2011.1667
title: Synthesis of carbon nanotube-tungsten oxide composite for carbon dioxide sensing application

description: For employing as sensing materials, multi-walled carbon nanotubes-tungsten oxide (MWCNT-WO₃) composites were synthesized by using acid precipitation method following by calcination under air atmospheres. The research procedure was divided into 3 steps including investigation of WO₃ synthesis, synthesis of MWCNT-WO₃ composites, and investigation of gas sensing ability of as-prepared sensing materials. In the step of synthesis of tungsten oxide nanoparticles, it was found that the suitable condition with the highest percent yield of 71.4% was obtained from precipitation of 5.3 mM tungsten salt and 10 M nitric acid at 80°C for 30 min and then calcine at 400°C for 1 hour. In the second step, MWCNT-WO3 composites were then synthesized with different mass ratio of MWCNTs to tungsten salt according to the suitable precipitation and calcination condition. The actual mass ratio (MWCNTs: WO₃) is in a range of 0.4:100 to 8.5:100. In the last step, three sensing materials including WO₃ nanoparticles, MWCNT-WO₃ composites, pristine MWCNTs were employed to prepare in-house fabricated thick film gas sensors by facile drop coating method. Sensing ability of all fabricated sensor were tested by exposure to CO₂ with concentration of 500 ppm at room temperature to 200°C. Gas sensors prepared from WO₃ calcined at 400°C would exhibit higher sensitivity to CO₂ than that calcined at 300 °C or 600°C. For the composites as sensing materials, the fabricated sensor with the smallest ratio of MWCNTs to WO₃ (0.4:100) could provide three times sensitivity higher than the sensors prepared from WO₃ nanoparticles. With the optimum ratio of MWCNTs to WO₃ (1.5:100), the sensors could also respond to CO₂ at the lowest operating temperature of 50°C with high sensitivity of 41.0% and the shortest response time of 19.1 seconds. It means that the operating temperature could be reduced four times from 200°C to 50°C when the composites at this ratio (1.5:100) were used instead of WO₃ nanoparticles.
DOI: 10.21227/cnrp-4147
title: Malware Analysis Datasets: API Call Sequences

description: This dataset is part of our research on malware detection and classification using Deep Learning. It contains 42797 malware API call sequences and 1079 goodware API call sequences. Each API call sequence is composed of the first 100 non-repeated consecutive API calls associated with the parent process, extracted from the 'calls' elements of Cuckoo Sandbox reports.
DOI: 10.25919/5db1a0aa4beff
title: Parkes observations for project P1031 semester 2019OCTS_02

description: We propose to study the pulsar emission mechanism using novel statistical methods that enable us to study the dynamics of the radio pulsar signal on short time scales (e.g. quasi-periodic sub-pulse structure, transitions between orthogonally polarized modes of emission, nulling, etc.) without needing to detect individual pulses. This pilot study will pave the way for a large-scale survey of dynamic/transient emission properties over a broad range of the pulsar population.
DOI: 10.5281/zenodo.3518215
title: Rasterised Natura 2000 Natural Protection Areas for PyPSA-Eur: An Open Optimisation Model of the European Transmission System

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at https://github.com/PyPSA/PyPSA-eur. <strong>It contains</strong> alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. <strong>Not all data dependencies</strong> are shipped with the code repository, since git is not suited for handling large changing files. Instead we provide separate <strong>data bundles</strong> to be downloaded and extracted as noted in the documentation. This file provides an (optional) rasterised version of the Natura 2000 Natural Protection Areas, processed from the source given below, to reduce computation times. <strong>Source:</strong> https://www.eea.europa.eu/data-and-maps/data/natura-10 <strong>Extract from Terms of Use:</strong> EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment (DG ENV). https://www.eea.europa.eu/data-and-maps/data/natura-10#tab-metadata
DOI: 10.14457/cu.the.2011.1668
title: Microencapsulation of phase change material with silica from sodium silicate by spray drying process

description: Phase change materials (PCMs) are substance that absorb, store, and release heat when they change state. In order to protect the PCMs from surrounding, to maintain the amount of them and their ability and to avoid the leakage of melted PCMs, the PCMs were encapsulated. Silica has many desirable properties for using as a shell material to encapsulate PCMs such as chemical inertness, high mechanical strength. Efforts have been devoted to reduce the cost of encapsulation PCMs with silica by using low cost sodium silicate as a silica source to replace the tetraethyl orthosilicate (TEOS). The encapsulated PCMs with silica as a supporting material was successfully prepared in O/W emulsion. The encapsulation efficiency and stability of the capsule depends on the emulsion preparation. In this research, the O/W emulsion for preparing the microencapsulation of PCMs with silica from sodium silicate by spray drying was studied. The microcapsules were prepared in an O/W emulsion with Tween 20 as emulsifier. The oil phase was n-Octadecane as the model of PCM. The water phase is the silica sol-gel solution which was formed via sol-gel reaction of sodium silicate solution with hydrochloric acid. Finally, the microcapsules were obtained by spray drying of an emulsion. The optimum condition for preparing microcapsule as following: the homogenizing speed 18,000 rpm homogenizing time 3 minutes phase change material 50 wt% of total solid and mole ratio of surfactant and phase change material 0.1:1. The spray dried microcapsules were smooth and nonporous spherical particle containing PCMs droplets which were embedded in the wall of the silica particles. Encapsulation efficiency and retention of phase change material in microcapsule were 7.8% and 19%, respectively. The average latent heat of microencapsulated n-Octadecane was 14.85 J/g.
DOI: 10.14457/cu.the.2011.1669
title: Privatization of state-owned enterprises through asset sales

description: Privatization program is regarded as one of increasingly important policy in which the state-agency decides to sell the public assets to private sectors for various reasons. The public assets being privatized are regarded as national-owned assets, belonging to individuals in the society where these assets should be handled in a maximizing manner to provide economic welfare for the country. With the importance of public enterprises established for economic-orientation purposes, the study aims to examine on whether privatization policies being conducted in a maximizing manner to the economy and society as a whole in terms of proceeds from state-owned asset sales by using bidder’s return at announcement period as a proxy. In an efficient theory, the assets should be sold at fair value creating no abnormal returns to the acquirer, however, the bidder’s return tends to be significant positive in this case. The sample is based on the total number of 1,832 state-owned enterprises acquisitions by public firms. The mean difference test suggests statistically significance in the abnormal returns to bidder during the announcement periods which are 1.06%, 1.03% and 2.01%, for the full sample, deal value disclose, and deal value not disclose for 5-day window, respectively. Furthermore, classifying the samples into different political system, industries type, corruption level, and bidder nation also allows for additional insights. With the significant statistics results, the study suggested that privatization activities through M&A may be underpinned by secretive or private incentives that led the price of assets sold to deviate from fair value whereby the acquirers enjoy the gains and sale proceeds are not maximized.
DOI: 10.14457/cu.the.2011.1670
title: Yeild curve forecasting with a large macroeconomic data set using two-step factorization

description: This study emphasizes on improving the performance of term structure forecasting with an appropriate methodology of extracting common factors from large macroeconomic time series. This empirical study has been conducted for the US and German bond markets. We investigate the yield curve forecast performance under the Principal Component Analysis (PCA) and the Two-Step Factorization techniques for extracting information. We assume that the dynamics of the short rate follow a Factor-Augmented Vector Autoregression (FAVAR) model and that the term structure implies no-arbitrage condition. The PCA technique and the Two-Step Factorization will be used to extract common factors from the same macroeconomic data set. Then, the yield curve forecast performance under the different approaches will be compared. The finding shows that the common factors extracted from the Two-Step Factorization outperform those extracted from the PCA technique and a random walk model in forecasting the intermediate yields in particular at the intermediate and long forecast horizons. By extracting factors only from macro variables that can explain short rates, the Two-Step Factorization method leads to better forecast performance for long forecast horizons. However, the performance for intermediate forecast horizons becomes worse. On the other hand, using factors extracted from macro variables that can explain a long term rate instead of the short rate leads to better forecast performance for the long term yields but it lowers the performance for the short term yields for all forecast horizons. This implies that the constraints put to the extracting method for selecting factors may help eliminate some noises, but at the same time they may also eliminate some of the information and hence lower the forecasting performance.
DOI: 10.14457/cu.the.2011.1671
title: Butyloleate production using immobilized lipase

description: Biofuels has received significant attention recently as a biodegradable and nonpolluting fuel. In this study, butyloleate was prepared in solvent-free system by esterification of oleic acid with butanol using immobilized lipase Novozym 435 as biocatalyst in a batch system. The conversion of free fatty acid (FFA) could reach 91.0% at reaction temperature of 45°C, oleic acid/butanol molar ratio of 1:2, Novozym 435 loading based on FFA weight of 5%, a shaking rate of 250 rpm, and a reaction period of 24 h. The removal of water that was produced during the enzymatic esterification by the addition of molecular sieves could enhance the FFA conversion to 96.1%. Novozym 435 having been used for five cycles still remained active with only slightly loss of catalytic activity. From kinetic study of the reaction at temperatures of 35- 60°C, the reaction appeared to be second order, at which the activation energy (Ea) was 13.64 kJ/mol. This product could reasonable be used as biobased industrial material in biolubricants and diesel fuel additives.
DOI: 10.14457/cu.the.2011.1672
title: Development of ion beam focusing technique using tapered capillary and its application to micro-PIXE analysis

description: A technique to fabricate tapered glass capillary optics with various taper shapes has been developed and MeV ion focusing was tested with this novel focusing optics. The dependence of the MeV ion focusing ability of the tapered capillary optics on the capillary wall material was investigated by comparing tapered capillaries made of borosilicate glass and lead glass. The energy spectrum from the capillary-focused proton beams showed that the beam focusing ratio for the lead glass capillary was slightly higher than that for the borosilicate glass capillary, but the enhancement was much smaller than expected from the target atomic number dependence of the Rutherford scattering cross section. Three-dimensional Monte Carlo simulations were performed to examine the effect of the capillary wall shape as well as that of the wall material on the beam transmission. When a constant taper angle capillary was used, the beam-focusing ratio was improved by a factor of 2 compared to when the conventional tapered capillary having a convex inner wall was used. These results indicated that the probability of the scattered ion escaping from the capillary wall plays a predominant role in the MeV ion transmission in the tapered capillary optics. The effect of inner wall surface roughness on the beam transmission was also investigated by examining the energy spectra of protons forward scattered by flat glass targets having different surface roughness. A novel beam-sampling system using a rotating beam chopper has been developed and used to normalize the measured count of the scattered proton with respect to the incident proton flux. The energy spectrum of the scattered protons showed that the surface roughness might reduce the probability of proton scattering by the glass target. Finally, the elemental compositions in the surface layer of old and modern Sangkhalok potteries were investigated by the glass-capillary-based micro-PIXE analysis. By scanning the cross section of the piece of the pottery with a ϕ70-µm microbeam, the elemental distributions in the glaze and the paint layers were separately determined and clearly showed the differences in the surface layer between the old and the modern potteries. The two-dimensional mapping of elements was successfully demonstrated for the old Sangkhalok sample and its effectiveness was proved.
DOI: 10.14457/cu.the.2011.1673
title: Improvement of ZnO by textural modification and metal doping for atrazine photocatalysis

description: Atrazine is the herbicide used for controlling broadleaf and grassy weeds. Contamination of atrazine has been found in environment particularly in cultivated area. Atrazine can cause hazard to bacteria, plankton, plants, animals, and human. The objective of this study is to develop ZnO, Ce-ZnO, and Cu-ZnO catalysts fabricated on Al2O3 by mechanical coating technique (MCT) applied for the degradation of atrazine contaminated water under visible light irradiation. ZnO, Ce-ZnO, and Cu-ZnO were successfully synthesized by the simple chemical method using sticky rice starch (S) and polyvinylpyrrolidone (P) as templates. Under visible light irradiation, the 0.02Ce-ZnO (S) showed efficient removal of atrazine at the pH of the isoelectric point. The S template could represent an environmental friendly alternative for the catalyst synthesis compared to the P template. Ce-ZnO (S) at both 0.02 and 0.1 molar ratios of doping showed the higher atrazine removal than Cu-ZnO (S). The 0.02Ce-ZnO (S) 5:1 and the commercial ZnO were used further in the study of photocatalytic degradation of atrazine. The optimal catalyst loadings were 0.1 g for catalyst powder, 2.5 g for ZnO_550, and 5.0 g for 0.02Ce-ZnO (S) 5:1 bead per 100 mL atrazine solution (5 mg/L). Discharge of Zn into atrazine solution was quite insignificant. The SO42– and Cl– anions enhanced the atrazine removal while CO32–, HCO3–, and HPO42– anions inhibited the atrazine removal. 0.005Ag-0.005Ce-ZnO was successfully prepared and presented superiority on atrazine degradation (87% at 180 min). The kinetics of the atrazine removal relied on Langmuir-Hinshelwood-Hougen and Watson (LHHW) model. However, the total organic carbon (TOC) decreased only 64–65% at 180 min, and cyanuric acid was not observed as the final product in atrazine photocatalytic degradation
DOI: 10.14457/cu.the.2011.1674
title: Local region-scalable active contour using expandable kernel

description: This thesis presents a novel active contour using scalable local regional information on expandable kernel for image segmentation. We call it LREK active contour. Our model uses intensity values of pixels on a set of scalable kernels along evolving contour. These kernels are to direct contour front towards object’s boundary within an image domain. Key feature of our model is that scale of the kernels increases gradually until the boundary is detected. So, our LREK may reach the boundary faster than some other methods. We compare performance of our LREK to existing edge and region-based active contour models. Experimental results show more desirable segmentation outcomes of our method. Furthermore, we also extract directional property of scalable local regional information so that it can choose objects of desirable edge’s type. In addition to an ability in segmenting two different edge’s type objects with only one initial contour, our proposed scheme performs effectively in segmenting noisy, concave boundary, non-uniform, and heterogeneous textures objects with a large capture range and fast convergence. Meanwhile, level set formulation makes our model topologically flexible. Moreover, our Gaussian LREK is able to trace blur or smooth boundary.