Study and Analysis of Alternative Power Switches with Reverse-Voltage Blocking Capability

The current source inverters are becoming competitors of the voltage source inverters largely due to the reduced complexity, improved reliability and potentially improved efficiency. This paper describes the functionality of current source inverters and why they’re becoming increasingly popular. It also discusses about the benefits of SiC over other semiconductors and the use of SiC MOSFETS with reverse voltage blocking capability in current source inverters. Double pulse testing is carried out through simulations on different switch configurations under different conditions using Ltspice, MATLAB and Simulink to determine the turn-on and turn-off switching losses. The tests are performed on a single MOSFET and also in the anti-parallel and half bridge scenario. Altium Designer is used for the PCB design in order to observe the behavior of C3M0075120K which is Cree’s 3rd Generation SiC MOSFET through hardware implementation

Electronic communication of cells with a surface mediated by boronic acid saccharide interactions

The fabrication of a molecularly tailored surface functionalised with a saccharide binding motif, a phenyl boronic acid derivative is reported.The functionalised surface facilitated the transfer of electrons, via unique electronic interactions mediated by the presence of the boronic acid, from a macrophage cell line. This is the first example of eukaryotic cellular-electrical communication mediated by the binding of cells via their cell–surface saccharide units

Emerging Themes and Future Directions of Multi-Sector Nexus Research and Implementation

Water, energy, and food are all essential components of human societies. Collectively, their respective resource systems are interconnected in what is called the “nexus”. There is growing consensus that a holistic understanding of the interdependencies and trade-offs between these sectors and other related systems is critical to solving many of the global challenges they present. While nexus research has grown exponentially since 2011, there is no unified, overarching approach, and the implementation of concepts remains hampered by the lack of clear case studies. Here, we present the results of a collaborative thought exercise involving 75 scientists and summarize them into 10 key recommendations covering: the most critical nexus issues of today, emerging themes, and where future efforts should be directed. We conclude that a nexus community of practice to promote open communication among researchers, to maintain and share standardized datasets, and to develop applied case studies will facilitate transparent comparisons of models and encourage the adoption of nexus approaches in practice

Emerging Themes and Future Directions of Multi-Sector Nexus Research and Implementation

Water, energy, and food are all essential components of human societies. Collectively, their respective resource systems are interconnected in what is called the “nexus”. There is growing consensus that a holistic understanding of the interdependencies and trade-offs between these sectors and other related systems is critical to solving many of the global challenges they present. While nexus research has grown exponentially since 2011, there is no unified, overarching approach, and the implementation of concepts remains hampered by the lack of clear case studies. Here, we present the results of a collaborative thought exercise involving 75 scientists and summarize them into 10 key recommendations covering: the most critical nexus issues of today, emerging themes, and where future efforts should be directed. We conclude that a nexus community of practice to promote open communication among researchers, to maintain and share standardized datasets, and to develop applied case studies will facilitate transparent comparisons of models and encourage the adoption of nexus approaches in practice

Automatic Prostate Cancer Grading Using Deep Architectures

Prostate cancer is the second most aggressive type of cancer among men aged over 45, and it has a major effect on people's lives. Early diagnosis and grading of prostate cancer from tissue images is necessary. Large scale inter observer reproducibility exists in grading the prostate biopsies. This leads us to move towards a computer based model that can accurately detect and grade the cancerous prostate from non-cancerous one. The paper is focused on deep learning based models to automatically grade the prostate cancer from tissue microarray images. Deep learning models directly learn the features via convolutional layers. Two datasets have been used for implementation of our proposed model, Harvard dataset and Gleason Challenge 2019. Our proposed UNET based architecture is used for training as well as validation and testing. We used four different deep learning models, VGG19, ResNet50, Mobilenetv2 and ResNext50 for our UNET based encoder. With our proposed framework, we have achieved 0.728 and 0.732 average Cohen's kappa with F1 on both datasets respectively. The results show that our proposed UNET based deep learning model shows better performance as compared to other state of the art models

Impact of Service Quality and Price Fairness on Consumer Loyalty: The Moderating Role of Information Literacy

Purpose: Using data from 200 hotel guests in Multan, Pakistan, this research aims to evaluate the influence of service quality and pricing fairness on consumer loyalty while moderating the role of information literacy. Design/Methodology/Approach/Findings: The findings are estimated using partial least square (PLS). The variables service quality, pricing justice, and information literacy are all positively and substantially connected to customer loyalty, according to PLS estimations. Because the link between service quality and customer loyalty is statistically significant, the results of the moderated regression demonstrate that information literacy positively moderates it. On the other hand, while the link between price fairness and customer loyalty is statistically significant, the variable information literacy acts as a negative moderator. Implications/Originality/Value:  Hotel management are advised to invest in and increase the quality of service. Managers must maintain control of all activities related to the concept of quality from the bottom to the top of their business

Latest Trends in Automatic Glioma Tumor Segmentation and an Improved Convolutional Neural Network based Solution

A Brain tumor is an abnormal cell growth in the brain tissues, these tumors are difficult to treat and severely affect the patient's cognitive ability. Out of all brain tumors, gliomas are the deadliest with the least survival rate. The focus of brain tumor segmentation task is to separate tumor tissue such as edema, tumor core from the healthy tissues i.e. white cells, Cerebrospinal Fluid and gray matter. Manual diagnosis of brain tumors from a large amount of patient's MRI images is a tough and time-taking process. With the advent of new approaches, automatic segmentation processes are becoming more effective and clinically accepted. This paper aims to give a comprehensive review of the most state of the art brain tumor segmentation methods. We have given a brief introduction to the imaging modalities and their usage in brain tumor segmentation task We have discussed the results of the most effective approaches by comparing their Dice Score results. We have also discussed some publicly available brain datasets. Furthermore, we have presented a Novel approach for Glioma tumor segmentation using ResNeXt architecture. Experimental results prove that our framework performs well on the dice score

Acute onset nitrofurantoin‐induced autoimmune hepatitis after urinary tract infection treatment

Key Clinical Message This case signifies the importance of recognizing DIAIH within the context of antibiotic therapy, especially in older adults and even shortly after common drug exposures for treating UTI. Abstract Various drugs can induce immune‐mediated liver damage and in rare instances may lead to autoimmune hepatitis. Here we report an 84‐year‐old woman who developed autoimmune hepatitis less than 3 weeks after treatment for urinary tract infection with the antibiotic nitrofurantoin. She presented with jaundice, right upper quadrant abdominal pain, nausea, and vomiting. In the absence of a history of an autoimmune disorder or elevated liver enzymes in the past; elevated liver enzymes after a short course of Nitrofurantoin and the presence of smooth muscle antibodies strongly suggested autoimmune hepatitis, which was confirmed through biopsy sample analysis. The patient scored 7 points on the Naranjo adverse reaction probability scale. The patient's rapid recovery within 1 month of prednisone therapy supports the association of liver damage with nitrofurantoin use