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Sensors with IoT assistance provides secured communication and data integrity inside HAN. Energy reading and information flow from the smart grid, together with sensors, bring about a new perspective on energy management. This paper primarily investigates the secured data flow in HAN and assures data privacy of customers during critical and emergency operations. Data are made available in real time with minimum transit time delay. Devices are continuously monitored for vital and emergency services. This paper focuses on machine to machine data flow and packet delivery using IoT. It helps in making user's power consumption data available over the cloud and also in customised electronic devices in real-time. This research work showcases the requirements for developing a cost-effective IoT-HAN connected with smart grid for energy aware routing. The advanced design scheme helps to place sensors, and control gateway in a well-defined boundary, consuming less energy for data transfer and data processing. Data flow pattern and packet delivery rate is tested using both simulated and actual data from sensors and concentrators. The obtained results and flow pattern is evaluated using MATLAB and network simulator. The developed IoT-HAN setup is optimally helpful in secured data exchange among different connected devices inside HAN.

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Data security in the cloud has become a dominant topic being discussed in recent times as the security of data in the cloud has been focused on by several researchers. However, the data security was enforced at the attribute level, the adversaries are capable of learning the method of data encryption even there are access restrictions are enforced at an attribute level. To challenge the adversaries with more sophisticated security measures, an efficient real-time service-centric feature sensitivity analysis (RSFSA) model is proposed in this paper. The RSFSA model analyses the sensitivity of different features being accessed by any service and at multiple levels. At each level, the method checks the set of features being accessed and the number of features the user has access grant to compute the FLAG value for the user according to the profile given. Based on the value of FLAG, the user has been granted or denied service access. On the other side, the method maintains different encryption schemes and keys for each level of features. As the features are organized in multiple levels, the method maintains a set of schemes and keys for each level dedicative. Based on the service level and data, the method selects an encryption scheme and key to perform data encryption. According to that, the service access data has been encrypted at the attribute level with a specific scheme and key. Data encrypted has been uploaded to the blockchain and the method modifies the reference part of the chain to connect only the blocks to which the user has access. The chain given to the user would do not contain any reference from a specific block to which the user has no access. The proposed method improves the performance of data security and access restriction greatly.

Background: In this paper, the design and computational modeling of microfluidic channel capable of separating platelets and Red Blood Cell (RBC) from the other blood cells are proposed. Materials and Methods: Separation based on their sizes is made possible by utilizing negative dielectrophoretic (n-DEP) force in fusion with drag force. An array of 38º angled electrode separated by 70 μm distance is designed within the microchannel and analyzed for non-uniform electric field distribution. Results and Conclusion: The molecule movement within the microchannel under induced electric field is simulated to demonstrate the separation using the particle trajectories module. A numerical study is performed for the calculation of Clausius Mossotti (CM) factor, n-DEP force and drag force.

Introduction: In the past two decades globally, the incidence of ectopic pregnancy has been increasing exponentially. One of the major triggering factors being the introduction of medical assisted procreation techniques. The present study emphasis more on clinical presentations, risk factors, associated maternal morbidity and mortality with respect to ectopic pregnancy. Methodology: Patients diagnosed with ectopic pregnancy in reproductive age group (15-44 years) after clinical examination and investigations during one year period were included in the study. It was a prospective study using contingency table analysis and Chi-square test. Results: A total of 42 patients were diagnosed and treated as ectopic pregnancy during the study period. Risk factors were found in 37 patients, of which most common were white discharge per vagina (WDPV) in 20 and tubectomy in 6 patients. PID was seen in 5 and no risk factors in 5 patients. Of the 42 patients, 37 underwent surgery as primary modality of treatment and 5 patients underwent medical management. Only 2 patients had complete resolution with medical management while 3 failed medical management. Post operative period was uneventful. Conclusion: As the incidence of ectopic pregnancy has been on the rise, screening of high risk cases, early diagnosis and early intervention are required to enhance maternal survival and conservation of reproductive capacity.

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