Education attainment and perceptions of autism : A cross-cultural study in South Asian countries

申請代表者： 人間科学部人間科学科3年　Luu Khanh Haアドバイザー教員： 人間科学研究科　Paola Cavaliere採択番号: 人-1

How Industry 4.0 concepts are applied in the portuguese clothing industry: some evidences

Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies, including textile and clothing industry. The concept of Industry 4.0 is based on the integration of information and communication technologies, industrial technology and is mainly dependent on building a Cyber-Physical System (CPS) to prepare a digital and intelligent factory, to become more digital, customized and (why not?) also green. The purpose of Industry 4.0 is to build a highly flexible production model of personalized and digital products and services, with real-time interactions between people, products and devices during the production process. This paper will show how a Portuguese clothing company (GUIMA) is preparing their processes, skills and resources to be in the Industry 4.0. The research team is following the industrial process for four months, starting from the reception and quality control of raw materials and accessories, until the orders expedition to different customers. Some results already obtained shows how the digitalization is yet in a preliminary stage in the clothing industry and is necessary to prepare the entire resources from the clothing company to achieve the horizontal and vertical integration in the manufacturing I4.0.“This work is financed by FEDER funds through the Competitivity Factors Operational Programme - COMPETE and by national funds through FCT – Foundation for Science and Technology within the scope of the project POCI-01-0145-FEDER-007136”info:eu-repo/semantics/publishedVersio

Development of Ni catalysts with low metal content and improved stability in the dry reforming of methane to syngas

Catalysts with 2.5 wt% Ni supported on MgO-Al2O3 were developed for CH4 dry reform-ing (DRM) that are stable at either mild (stoichiometric) or severe (CH4-rich) conditions. Solid materials were characterized with suitable methods. Catalysts with NiO-MgO-Al2O3 solid solution were active even at 500 °C. In stoichiometric DRM, Ni catalyst modified with La and citric acid reduced both Ni re-oxidation and agglomeration, preserving high activity over 160 h. Besides, proper support pre-treatment or adding Gd3+ both offered outstandingly coking-resistant Ni-based catalysts for CH4-rich DRM over 100 h.Für das trockene Reformieren (DRM) wurden Katalysatoren mit niedrigem Ni-Gehalt (2,5 Gew.-%) auf Mg-Al-Mischoxid entwickelt, die stabil bei stöchiometrischen oder CH4-reichen Bedingungen waren. Die Materialien wurden charakterisiert. Katalysatoren mit festen NiO-MgO-Al2O3-Lösungen waren schon bei 500 °C aktiv. Im stöchiometrischen DRM verringerte die Modifikation mit La/Zitronensäure die Reoxidation/Agglomeration von Ni und die Katalysatorstandzeit erreichte 160 h. Geeignete Trägervorbehandlung oder Gd3+-Dotierung führte zu stabilen und aktiven Ni-Katalysatoren für das CH4-reiche DRM über 100 h

The dynamic relationship between greenfield investments, cross-border M&As, domestic investment and economic growth in Vietnam

Funding: NAFOSTED (grant number 502.02-2020.09).This paper investigates the dynamic linkages between different types of foreign direct investment (FDI), domestic investment and economic growth in Vietnam. We decompose the aggregated FDI level into its two major components: greenfield investments, and cross-border mergers and acquisitions (M&As). The empirical results reveal that greenfield investments and cross-border M&As exhibit different impacts on economic growth. While greenfield investments appear to complement domestic investment, which subsequently promotes long-run economic growth, cross-border M&As exert a significant crowd-out effect and subsequently impede growth in both the short- and the long-run. These results provide important implications for policies to attract FDI in order to stimulate sustainable growth.Publisher PDFPeer reviewe

Impact of Image Denoising Techniques on CNN-based Liver Vessel Segmentation using Synthesis Low-dose Contrast Enhanced CT Images

Liver vessel segmentation in contrast enhanced CT (CECT) image is relevant for several clinical applications. However, the liver segmentation on noisy images obtain incorrect liver vessel segmentation which may lead to distortion in the simulation of cooling effect near the vessels during the planning. In this study, we present a framework that consists of three well-known and state-of-the-art denoising techniques, Vesssel enhancing diffusion (VED), RED-CNN, and MAP-NN and using a state-of-the-art Convolution Neural Networks (nn-Unet) to segment the liver vessels from the CECT images. The impact of denoising methods on the vessel segmentation are ablated using with multi-level simulated low-dose CECT of the liver. The experiment is carried on CECT images of the liver from two public and one private datasets. We evaluate the performance of the framework using Dice score and sensitivity criteria. Furthermore, we investigate the efficient of denoising on roughness of the surface of liver vessel segmentation. The results from our experiment suggest that denoising methods can improve the liver vessel segmentation quality in the CECT image with high low-dose noise while they degrade the liver vessel segmentation accuracy for low-noise-level CECT images

Physical security with power beacon assisted in half-duplex relaying networks over Rayleigh fading channel: performance analysis

In this research, we proposed and investigated physical security with power beacon assisted in half-duplex relaying networks over a Rayleigh fading channel. In this model, the source (S) node communicates with the destination (D) node via the helping of the intermediate relay (R) node. The D and R nodes harvest energy from the power beacon (PB) node in the presence of a passive eavesdropper (E) node. Then we derived the integral form of the system outage probability (OP) and closed form of the intercept probability (IP). The correctness of the analytical of the OP and IP is verified by the Monte Carlo simulation. The influence of the main system parameters on the OP and IP also is investigated. The research results indicated that the analytical results are the same as the simulation ones

SYNTHESIS OF STARCH MODIFIED MONTMORILLONITE AS AN EFFECTIVE ADSORBENT FOR Pb (II) REMOVAL FROM WATER

The adsorbent is prepared by the montmorillonite co-modification with starch for the removal of Pb (II) ions from aqueous solution. The Fourier-transformed infrared (FTIR), X-ray diffraction (XRD) spectroscopies were used to determine the structure and characteristics of the adsorbent. The main factors affecting the removal of Pb (II) ions were investigated, including the effect of pH, contact time, adsorbent dosage and the initial concentration of Pb (II). Batch process can be used for adsorption and equilibrium studies. The experimental data were fitted using Freundlich and Langmuir adsorption models. The Langmuir isotherm best fitted the experimental data with R2 0.99 and maximum Pb (II) adsorption capacity of 21.5 mg/g indicated monolayer adsorption. Kinetic studies using pseudo-first-order and pseudo-second-order rate models showed that the process complied well with the pseudo second-order rate model

Non-rigid registration of liver ct images for ct-guided ablation of liver tumors

CT-guided percutaneous ablation for liver cancer treatment is a relevant technique for patients not eligible for surgery and with tumors that are inconspicuous on US imaging. The lack of real-time imaging and the use of a limited amount of CT contrast agent make targeting the tumor with the needle challenging. In this study, we evaluate a registration framework that allows the integration of diagnostic pre-operative contrast enhanced CT images and intra-operative non-contrast enhanced CT images to improve image guidance in the intervention. The liver and tumor are segmented in the pre-operative contrast enhanced CT images. Next, the contrast enhanced image is registered to the intra-operative CT images in a two-stage approach. First, the contrast-enhanced diagnostic image is non-rigidly registered to a non-contrast enhanced image that is conventionally acquired at the start of the intervention. In case the initial registration is not sufficiently accurate, a refinement step is applied using non-rigid registration method with a local rigidity term. In the second stage, the intra-operative CT-images that are used to check the needle position, which often consist of only a few slices, are registered rigidly to the intra-operative image that was acquired at the start of the intervention. Subsequently, the diagnostic image is registered to the current intra-operative image, using both transformations, this allows the visualization of the tumor region extracted from pre-operative data in the intra-operative CT images containing needle. The method is evaluated on imaging data of 19 patients at the Erasmus MC. Quantitative evaluation is performed using the Dice metric, mean surface distance of the liver border and corresponding landmarks in the diagnostic and the intra-operative images. The registration of the diagnostic CT image to the initial intra-operative CT image did not require a refinement step in 13 cases. For those cases, the resulting registration had a Dice coefficient for the livers of 91.4%, a mean surface distance of 4.4 mm and a mean distance between corresponding landmarks of 4.7 mm. For the three cases with a refinement step, the registration result significantly improved (p<0.05) compared to the result of the initial non rigid registration method (DICE of 90.3% vs 71.3% and mean surface distance of 5.1 mm vs 11.3 mm and mean distanc