102 research outputs found

    IMPROVING XIAOMI’S PRESENCE IN THE SWEDISH MARKET BY UNDERSTANDING YOUNG CONSUMERS

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    The main purpose of this study is to define how Xiaomi can improve its market share in Sweden by understanding young consumers’ preferences for smartphone brands. The purpose is to let the case company know more about the Swedish market. This study uses the method of online questionnaire and quantitative method is being used for creating development suggestions for the case company. The main data in this study was collected through the responses of the respondents in the Swedish area. The theoretical part of this study consists of global marketing strategies, such as SWOT, PEST analysis, and combines with the customer buying decision strategy in order to analyze purchasing behavior and interests of consumers. In addition, internal and external analysis tools are introduced to support the theoretical results. The thesis presents steps on how the case company can enter the Swedish market. Moreover, the thesis presents how the case company can make its smartphone products more attractive to young Swedish customers

    Accuracy control and nonintrusive implementation of adaptive reduced order modelling based on greedy sampling for elasto-dynamics

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    Parametric problems have been widely studied and many researches have been provided to reduce the cost of computations. Reduced order modelling (ROM) achieves this goal by performing and storing a sequence of pre-computations in an expensive \offline" stage, and utilises the stored data to make predictions of solutions for parametric problems in an \online" stage with low cost. The (POD -) Greedy sampling algorithm is a powerful tool to obtain those pre-computations in an optimal sense. Problems arise for conventional reduced order modelling when the system undergoes dynamic changes: first of all, a robust error estimate is needed for dynamic problems; moreover, a cost-effective procedure is required in the \offline" stage to generate the optimum set of sample points, such that the most representative reduced basis may be obtained, which would also keep the \offline" cost under control. In this thesis, a new POD-Greedy sampling algorithm which utilises a new error indicator will be presented. This error indicator aims to predict paths of the optimum maximum error convergence. The standard POD-Greedy approach requires exact solutions over the entire parameter domain when a-posteriori error estimate is not available, thus is not practical. Instead, the proposed POD-Greedy algorithm avoids computations of the massive number of exact computations by applying interpolation, so that the numerical efficiency can be improved. Another contribution is an \error in the error" indicator which drives the local adaptivity of interpolation sample grids. This indicator compares low and high order interpolation scheme to obtain the correct sequence of local

    Basalt-polypropylene fiber reinforced concrete for durable and sustainable pipe production. Part 1: experimental program

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    This is the peer reviewed version of the following article: [ Deng, Z, Liu, X, Chen, P, et al. Basalt-polypropylene fiber reinforced concrete for durable and sustainable pipe production. Part 1: Experimental program. Structural Concrete. 2022; 23: 311– 327. https://doi.org/10.1002/suco.202000759], which has been published in final form at https://onlinelibrary.wiley.com/doi/abs/10.1002/suco.202000759. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.An experimental program consisting in producing and testing reinforced concrete pipes (RCPs) under the three-edge bearing tests considering different types of reinforcement was carried out. Four types of RCPs were produced, these reinforced with: (1) polypropylene macrofibers; (2) basalt microfibers; (3) combination of both (hybrid reinforcement); and (4) plain concrete. The analysis of the crack patterns and both service and ultimate mechanical responses allowed concluding that the use of fibers do not lead to an effective increase of the first cracking load; however, both types of fibers allowed a better crack width control respect to the standard RCP. In this regard, basalt microfiber reinforced concrete led to a better response caused by concentrated loads (jacketing) whilst polypropylene macrofibers increased the concrete pipe performance in terms of bearing capacity and flexural crack control. The hybrid fiber reinforced concrete was found to be the most suitable alternative for increasing the load bearing capacity and the crack width control for service loads. These incipient experimental results permit to conclude that this type of hybrid basalt-polypropylene fiber reinforced concretes are an interesting alternative to traditional steel-cage RCPs.This work is supported by the National Key Research and Development Program of China (2018YFC1504802), Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission (cstc2018jscxmszdX0071), Postgraduate Research Innovation Project of Chongqing (CYS19005, CYS18026). In addition, Prof. Albert de la Fuente also wants to express his gratitude to the Spanish Ministry of Science and Innovation for the financial support received under the scope of the project CREEF (PID2019-108978RB-C32).Peer ReviewedPostprint (author's final draft

    Combination Analysis of a Radiomics-Based Predictive Model With Clinical Indicators for the Preoperative Assessment of Histological Grade in Endometrial Carcinoma

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    BackgroundHistological grade is one of the most important prognostic factors of endometrial carcinoma (EC) and when selecting preoperative treatment methods, conducting accurate preoperative grading is of great significance.PurposeTo develop a magnetic resonance imaging (MRI) radiomics-based nomogram for discriminating histological grades 1 and 2 (G1 and G2) from grade 3 (G3) EC.MethodsThis was a retrospective study included 358 patients with histologically graded EC, stratified as 250 patients in a training cohort and 108 patients in a test cohort. T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI) and a dynamic contrast-enhanced three-dimensional volumetric interpolated breath-hold examination (3D-VIBE) were performed via 1.5-Tesla MRI. To establish ModelADC, the region of interest was manually outlined on the EC in an apparent diffusion coefficient (ADC) map. To establish the radiomic model (ModelR), EC was manually segmented by two independent radiologists and radiomic features were extracted. The Radscore was calculated based on the least absolute shrinkage and selection operator regression. We combined the Radscore with carbohydrate antigen 125 (CA125) and body mass index (BMI) to construct a mixed model (ModelM) and develop the predictive nomogram. Receiver operator characteristic (ROC) and calibration curves were assessed to verify the prediction ability and the degree of consistency, respectively.ResultsAll three models showed some amount of predictive ability. Using ADC alone to predict the histological risk of EC was limited in both the cohort [area under the curve (AUC), 0.715; 95% confidence interval (CI), 0.6509–0.7792] and test cohorts (AUC, 0.621; 95% CI, 0.515–0.726). In comparison with ModelADC, the discrimination ability of ModelR showed improvement (Delong test, P < 0.0001 for both the training and test cohorts). ModelM, established based on the combination of radiomic and clinical indicators, showed the best level of predictive ability in both the training (AUC, 0.925; 95% CI, 0.898–0.951) and test cohorts (AUC, 0.915; 95% CI, 0.863–0.968). Calibration curves suggested a good fit for probability (Hosmer–Lemeshow test, P = 0.673 and P = 0.804 for the training and test cohorts, respectively).ConclusionThe described radiomics-based nomogram can be used to predict EC histological classification preoperatively

    Lowest Instrumented Vertebra at L3 Versus L4 in Posterior Fusion for Moderate Lenke 5C Type Adolescent Idiopathic Scoliosis: A Case-Match Radiological Study

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    Objective To compare the radiological outcomes in Lenke 5C type patients whose lowest instrumented vertebra (LIV) was L3 or L4 in a case-match study. Methods We conducted a retrospective case-match study and included 82 patients in the study. Radiological results before surgery, after surgery, and at last follow-up were recorded and analyzed in the L3 and L4 groups. Results After matching the age, Risser’s sign, sex, and main Cobb, 41 pairs of patients were enrolled in our study. The total fusion segments in the L3 group (median [interquartile range]: 5.0 [6.0–5.0]) were shorter than those in the L4 group (6.0 [6.5–6.0]). The main curve was significantly corrected after surgery in both groups, and was comparable at the last follow-up between groups. In addition, according to the results of Fisher precision probability test, there was no significant difference of coronal or sagittal imbalance between the 2 groups at the 2-year follow-up. Conclusion The correction in coronal and sagittal planes in L3 group and L4 group remains similar. On account of more motion segments, L3 could be an ideal choice as LIV in moderate Lenke 5C type AIS. Long-term follow-up is needed to evaluate the effect of larger compensatory lumbar-sacral curve when stopping at L3

    The Ninth Visual Object Tracking VOT2021 Challenge Results

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