49 research outputs found
Colonic metastases from a luminal a type invasive ductal carcinoma breast: A rare case report
Metastatic carcinoma breast involving hepatobiliary system and peritoneum is a common and well-described entity. However, colonic luminal involvement by breast metastases is rare and its early recognition is important for accurate management planning. We report a case of an elderly woman with luminal A type invasive ductal carcinoma (IDC) breast, initially controlled/stabilized on hormonal treatment and later progressed to involve colon presenting with intestinal obstructive symptoms. Lobular carcinoma breast which constitutes around 10% of breast cancers is more likely to have gastrointestinal tract (GIT) involvement. On the other hand, GIT metastasis from IDC breast is quite rare. Given the progressively increasing survival with current and forthcoming novel treatment modalities, it is very important to recognize and understand unusual presentation of metastatic breast cancer, such as colonic metastasis, for timely treatment planning and implementation
Optimized Mitigation of Impulsive Noise in OFDM System using CSI
M.E. WIRELESS COMMUNICATION 2014-2016 BATCHFourth generation (4G) technology aims to provide mobile users with high data rate wireless broadband services with full mobility. Many difficulties are encountered in wireless internet services while providing high speed communication services. These include multipath fading, inter-symbol-interference (ISI) and noise etc. Orthogonal-frequency-division-multiplexing (OFDM) is the technology that provides an effective solution for these problems encountered in high speed wireless transmissions and reception. OFDM has inherent spatial efficiency due to orthogonality between the consecutive subcarriers enabling them to overlap on each other. The use of cyclic prefix enables it to reduce the effects of ISI. Frequency-selective fading experienced in the channel reduces to flat fading in OFDM transmission. Deep fade conditions can hence be observed by limited number of symbols and not by the entire transmission. These advantages have led to replacement of the previously used technologies by OFDM, making it a strong contender for the next generation wireless communication systems.
This thesis presents comparison between different impulsive noise mitigation techniques in orthogonal-frequency-division-multiplexing (OFDM) systems, which affect the performance of underlying communication system in terms of the bit-error-rate (BER). The main focus is on Zhidkov’s (ZKV) method (Zhidkov, 2003) and Jia’s method (Jia et al., 2014) for the impulsive noise mitigation using the imperfect channel-state-information (CSI). Though former scheme appears to be promising peak detection method based on the variance of estimated impulsive noise, but latter composite-comparison-value (CCV) method is found to be outperforming in alleviating the adverse effects of impulsive noise in the frequency-domain, at the receiving end. In ZKV and CCV methods, different parametric values are optimized to suppress the impulsive noise under the fading conditions in the presence of perfect CSI. Simulation results are presented for performance evaluation of these impulsive noise suppression schemes using imperfect CSI for the different modulation schemes, which illustrate the efficacy of CCV method in the field of communication engineering
Metastatic dermatosis in breast carcinoma on adjuvant trastuzumab: Is skin a sanctuary site in human epidermal growth factor receptor-2-amplified disease?
Cutaneous metastasis (CM) from internal malignancies is commonly seen. Sometimes, skin metastases can be the first sign of advanced cancer or an indicator of cancer recurrence. Cases of breast cancer with cutaneous progression after or during trastuzumab therapy have been described in the past, frequently associated with systemic disease progression. However, CM during adjuvant trastuzumab therapy is very rare. It has been hypothesized that cancer cells located in the skin survive and take proliferative advantage by virtue of an immune-tolerance mechanism that hampers trastuzumab-mediated antibody-dependent cell-mediated cytotoxicity. We describe a case of human epidermal growth factor receptor-2-overexpressing breast cancer presenting with diffuse CM during adjuvant trastuzumab therapy
Reviewing the magnetic resonance imaging anatomy of the posterolateral corner of the knee and its applied importance
The purpose of this article is to review the anatomy and magnetic resonance imaging appearances of all the structures which are noted in the posterolateral corner of the knee. These structures may not be commonly heard of but play a crucial role in providing the required stability and force to the knee joint. We hope that by putting light on this less explored part of the knee this article will be useful to many practicing clinicians and operating orthopedicians
Dynamic response of an Offshore wind turbine using linear (LIM) and non-linear (NLIM) environmental interaction models: A Parametric study
The present state-of-the-art modelling tools (such as FAST, BLADED) used for modelling an offshore wind turbine (OWT) are too detailed and computationally expensive. These tools are required only at detailed design stages of a project. For the preliminary phase, however, a much simpler (yet reliable) 3D model can improve and speedup the design process. Therefore, the aim of this thesis was to develop two different finite element models of an offshore wind turbine and compare their dynamic responses. In order to assess the extent of non-linearities in the environmental interactions arising due to structural motions, one model included the non-linear models of soil, hydrodynamic and aerodynamic loads (called NLIM henceforth) while the other used linearized expressions for modelling them (called LIM henceforth). The soil was modelled as a series of non-linear (and linear) elastic springs using p-y curves. The conventionally used Morison's equation was compared with MacCamy and Fuchs' equation for modelling the hydrodynamic loads on a large diameter pile. It was found that the MacCamy and Fuchs' equation is a better way of modelling the hydrodynamic loads on submerged cylinders than Morison's equation as it takes the wave diffraction effects into account. Several load cases were defined and the models were subjected to these load cases to check whether they are able to capture the physical behaviour of the OWT. The modal decomposition technique was used for reducing simulation time. It was found that the model(s) adequately captured the physical behaviour of the OWT till a wind speed of 20 m/s. Its side-side plane physical behaviour needs further investigation for a constant wind speed of 24 m/s. The LIM and the NLIM compared well for most load cases. For the side-side plane responses, however, the LIM developed a phase lag. A strong coupling was found between the motions (rotations) in fore-aft plane and the motions about the yaw axis. The structural velocities were found to be very small to influence hydrodynamic drag terms. Also, the defections of the pile in the soil were found to be too small suggesting that p-y curves do not capture the non-linear behaviour of soil accurately. Finally, a damping matrix resulting from the linearised aerodynamic forces was used for calculating the modal damping ratios related to different modes. The results were compared to the literature, with addition of side-side and yaw damping.Mechanical, Maritime and Materials EngineeringHydraulic EngineeringOffshore Engineerin
A cross-sectional survey to assess knowledge, attitude, and practice of Yoga among cancer patients at a tertiary care hospital
Background: Cancer incidence and mortality are rapidly growing worldwide. Cancer affects the overall quality of life of cancer patients. Yoga has its origin in the ancient times. This ancient practice has been used for holistic well-being for ages. Yoga as an alternative therapy might be beneficial for cancer patients too. This study was conducted to assess knowledge, attitudes, and yoga practices among cancer patients. Materials and Methods: For this cross-sectional survey, a self-designed questionnaire was validated and distributed among 25 cancer patients for a pilot study. Then, a full-fledged study was conducted based on the interviews of 1000 cancer patients at a tertiary care oncology unit and the data were analyzed using R 3.6. Results: A total of 1000 participants were enrolled in this cross-sectional survey. Out of 1000 participants, 91 were excluded as they responded that they were not familiar with the term “Yoga” in the first question of the questionnaire. Of 919 participants, 238 strongly agreed and 395 agreed with the question that people who practice yoga are less prone to diseases, showing that 68.87% of cancer patients have a positive attitude toward yoga. However, only 145 (15.77%) of the participants practice yoga regularly. Lack of time was the most common reason for not practicing yoga, and the other reasons were the lack of interest and insufficient facilities. Conclusion: The present study on 1000 patients from the yoga capital of the world, Rishikesh, highlights the fact that the majority of cancer patients are aware of yoga practice's benefits and if given the opportunity to learn appropriate techniques, yoga can further improve the outcome in such patients. There is a need to design the effective yoga programs for cancer patients to promote suitable yoga practices in this population
Effect of activation function symmetry on training of SFFANNs with the backpropagation algorithm
FPGA based Real Time Human Hand Gesture Recognition System
AbstractThis work proposes a real time human hand gesture recognition system for human computer interaction. The proposed system can recognize 10 different hand gestures at faster rate with reasonable accuracy. The gestures are classified on the basis of shape-based features. Four different shape based features are used for better accuracy. The illumination compensation technique is employed for robust recognition under varying background lightning conditions. Skin color segmentation is used to minimize the chances of false detection. The proposed system is modeled using Verilog HDL and targeted for Xillinx Virtex2 Pro FPGA board. The accuracy of the system is computed as 94.40%
