Dexterity for Channel Capacity Enhancement in MU-MIMO by Abrogating Interference

The looming field of Multi user Multiple-input Multiple-output (MU-MIMO) communication system has faced a challenge with precoding techniques for achieving increased channel capacity of their less inhaling of signals, imperfect knowing of channel state information, loss of signals by noise ,time complexity etc. in downlink systems which results in interference to the users. Hence straight forwarding from the issues, the paper newly introduce2LB-FR precoding technique which holds Linde-Lyold’s (LL)algorithm to increase data transmission by consuming large amount of signals with space and the Bernoulli distribution with Bayes decision (BB) to allot the perfect channel state; l information during transmission that eliminates co-interference. Holding Floyd Rasta (FR) algorithm expels the noise if added and takes the shortest required path by acquiring all the possible routes available in single execution which decreases delay. By the overall implementation, the proposed work pomped that in short time ,the capacity of the channel get enhanced with interference cancellation

Capacity Enhancement of Multiuser Wireless Communication System through Adaptive Non-Linear Pre coding

Multiuser multiple-input multiple-output (MIMO) nonlinear pre coding techniques face the issue of poor computational scalability of the size of the network. But by this nonlinear pre coding technique the interference is pre-cancelled automatically and also provides better capacity. So in order to reduce the computational burden in this paper, a definitive issue of MU-MIMO scalability is tackled through a non-linear adaptive optimum vector perturbation technique. Unlike the conventional (Vector Perturbation) VP methods, here a novel anterograde tracing is utilized which is usually recognized in the nervous system thus reducing complexity. The tracing of distance can be done through an iterative-optimization procedure. By this novel non-linear technique the capacity is improved to a greater extend which is explained practically. By means of this, the computational complexity is managed to be in the cubic order of the size of MUMIMO, and this mainly derives from the inverse of the channel matrix. The proposed signal processing system has been implemented in the working platform of MATLAB/SIMULINK. The simulation results of proposed communication system and comparison with existing systems shows the significance of the proposed work

An Energy-driven Network Function Virtualization for Multi-domain Software Defined Networks

Network Functions Virtualization (NFV) in Software Defined Networks (SDN) emerged as a new technology for creating virtual instances for smooth execution of multiple applications. Their amalgamation provides flexible and programmable platforms to utilize the network resources for providing Quality of Service (QoS) to various applications. In SDN-enabled NFV setups, the underlying network services can be viewed as a series of virtual network functions (VNFs) and their optimal deployment on physical/virtual nodes is considered a challenging task to perform. However, SDNs have evolved from single-domain to multi-domain setups in the recent era. Thus, the complexity of the underlying VNF deployment problem in multi-domain setups has increased manifold. Moreover, the energy utilization aspect is relatively unexplored with respect to an optimal mapping of VNFs across multiple SDN domains. Hence, in this work, the VNF deployment problem in multi-domain SDN setup has been addressed with a primary emphasis on reducing the overall energy consumption for deploying the maximum number of VNFs with guaranteed QoS. The problem in hand is initially formulated as a "Multi-objective Optimization Problem" based on Integer Linear Programming (ILP) to obtain an optimal solution. However, the formulated ILP becomes complex to solve with an increasing number of decision variables and constraints with an increase in the size of the network. Thus, we leverage the benefits of the popular evolutionary optimization algorithms to solve the problem under consideration. In order to deduce the most appropriate evolutionary optimization algorithm to solve the considered problem, it is subjected to different variants of evolutionary algorithms on the widely used MOEA framework (an open source java framework based on multi-objective evolutionary algorithms).Comment: Accepted for publication in IEEE INFOCOM 2019 Workshop on Intelligent Cloud Computing and Networking (ICCN 2019

Evaluation of preventable causes and risk factors of maternal mortality

Background: The primary objective was to evaluate preventable causes of maternal deaths at tertiary, second and primary care in Patiala district, Punjab. Secondary objective was to determine impact of socio-demographic characteristics, anemia and three delays on maternal death.Methods: This is a retrospective observational study carried out between 1. 7. 2013 till 30. 6. 2014, for period of one year in department of a tertiary care hospital and district health authorities catering to secondary and primary care deaths for evaluation of preventable causes and risk factors for maternal deaths at tertiary, secondary and primary level.Results: A total of 54 maternal deaths with MMR of 170.42/100000 live births, occurred in stipulated period, 87.03% at tertiary care, one at second care, 7.41% at home and 3.7% on the way to tertiary care. Majority of maternal deaths (92.6%) were unbooked, between 21-30 years (64.82%) of age, primi or second gravida (35.18%), para 1 or 2 (37.03%), illiterate (40.74%), low income group (57.41%) with rural background (59.26%). Majority of maternal deaths (77.7%) occurred in postpartum period. Most of maternal deaths (75.93%) were due to direct causes, pre-eclampsia 25.93% followed by sepsis (22.2%) and haemorrhage (20.3%). Anemia was contributory factor in 79.63% maternal deaths. 7.4% maternal deaths occurred at home with delay in seeking care while 29.62% died due to delay in reaching care. In 40.42% maternal deaths, it took more than two hours to reach tertiary care hospital.Conclusions: Skilled antenatal, intranatal and postnatal care, women empowerment, counseling, early diagnosis and referral of pre-eclampsia and other high-risk cases with curbing anemia at grass root level is need of millennium. Preventing delay in seeking care or reaching care-a step towards sustainable development goals (SDG) to reduce MMR

Development and characterization of paclitaxel and embelin loaded solid lipid nanoparticles for breast cancer

In an effort to develop an alternative formulation of combination of paclitaxel (PTX) and embelin (EMB) suitable for parenteral administration, PTX-EMB loaded sterically stabilized solid lipid nanoparticles (SLNs) were prepared, characterized and examined for in vitro cytotoxicity. The SLNs, comprising glycerol mono stearate (GMS) as a solid lipid core, Brij 35 used as surfactant and PEGylated phospholipid used as stabilizer, were prepared using a hot homogenization method. Optimized PTX-EMB loaded formulation, the particle sizes of the prepared SLNs were around 300 nm, suggesting that they would be suitable as a parenteral formulation. Transmission electron microscopy showed that the SLNs were homogeneous and spherical in shape. Entrapment efficiency of paclitaxel and embelin was 92.83 ± 2.2%, 83.25 ± 2.4% respectively. An in vitro drug release study were performed in PBS (pH 7.4) for 80 hrs and observed that paclitaxel and embelin released from the PEGylated SLNs was 93.91 ± 4.1 % and 75.63 ± 4.37 % respectively. Furthermore, treatment of the MCF-7 breast cancer cell line with PTX-EMB loaded SLNs yielded cytotoxicities comparable to PTX solution, PTX-EMB mixture solution and PTX loaded PEGylated SLNs. These results collectively suggest that our optimized SLN formulation may have a potential as alternative delivery system for parenteral administration of paclitaxel and embelin. Keywords: Embelin, Apoptosis, Cancer, Cytotoxicity, Breast Cancer, Solid lipid nanoparticles

Data Mining as a tool to Predict the Churn Behaviour among Indian bank customers

The socio economic growth of the country is mainly dependent on the services sector. The financial sector is one of these services sector. Data mining is evolving into a strategically important dimension for many business organizations including b anking sector. The churn problem in bankin g sector can be resolved using data mining techniques. The customer churn is a common measure of lost customers. By minimizing customer churn a company can maximize its profits. Companies have recognized that existing customers are most valuable assets. Customer relationship management (CRM) can be defined as the process of acquiring, retaining and growing profitable customer which requires a clear focus on service attributes that represent value to the customer and c reates loyalty. Customer retention is c ritical for a good marketing and a customer relationship management strategy. The prevention of customer churn through customer retention is a core issue of Customer relationship management. Predictive data mining techniq ues are useful to convert the meani ngful data into knowledge. In this analysis the data has been analyzed using probabilistic data mining algorithm Naive Bayes, the decision trees algorithm (J48) and the support vector machines(SMO)

Border Security System

This paper presents an idea to secure the border in a simple and more reliable way, The proposed idea has a simple design and has a very high range , it covers a very large border area securing the border area from illegal entries, smuggling ,illegal movement of weapon without much involvement of security forces near border. Afteranalysing the previous attack in our country and the number of accidents happening each year, it is evident that in most of the cases the security force are unaware of the entry of these terrorist hence in order to protect our nation from such attacks and terrorist activity there is a need to implement a security system which will be smart enough to detect these activity and give proper information about each and every activity happening near the border. In this paper, we propose building a security system that can be implemented by using advance feature like obstacle detection, obstacle identification, distance sensing and activity tracking, and quick communication between the source area and control room . If obstacle enters the border it automatically detects the obstacle give warnings and send the record of activity to control room. Also it eliminates the enemy in more efficient and better way

Sarcoid Granulomas in Malignancy

Noncaseating epithelioid granulomas without accompanying systemic symptoms of sarcoidosis have been described in association with many primary tumors where they are designated as sarcoid-like (SL) reaction. Morphologically, this SL reaction is similar to granulomas found in systemic sarcoidosis comprising of focal accumulation of epithelioid cells and multinucleated giant cells. They can be seen either adjacent to the primary malignancy or in local draining lymph nodes. Additionally, sarcoid-like granulomas can affect other organs distant from the primary neoplasm, such as the spleen, bone marrow, and skin. This sarcoid-like reaction is thought to occur as an immunologic T-cell-mediated response to antigens expressed by the neoplastic cells or soluble tumor antigens. Whether the presence of this sarcoid-like reaction has any prognostic significance in the associated neoplasm is unclear

Unilateral Primary Congenital Lymphedema of the Upper Limb in an 11-Month-Old Infant: A Clinical and Pharmacological Perspective

BACKGROUND: Lymphedema is the accumulation of a protein-rich fluid in the interstitial space due to reduced lymph transport capacity. Congenital primary lymphedema affecting only one of the upper limbs is a rarity. CASE REPORT: We present a case of an 11-month-old infant presenting with swelling of the right upper limb, which had gradually progressed over the past five months. Lymphoscintigraphy was suggestive of lymphatic blockade in the right upper limb. All other investigations were within normal limits. A diagnosis of primary congenital lymphedema affecting the right upper limb was made. The patient was managed conservatively with complex decongestive therapy and was requested regular follow-up. The lymphedema did not increase within four months of follow-up. CONCLUSIONS: Complex decongestive therapy is the cornerstone of the management of primary congenital lymphedema. New investigational therapies such as leukotriene B4 antagonists hold a promise for patients with lymphedema

Complete Rectal Prolapse in Children: Case Report, Review of Literature, and Latest Trends in Management

BACKGROUND: Complete rectal prolapse is the circumferential descent of all the layers of the rectum through the anus. It often leads to bleeding, obstructed defecation, incarceration or fecal incontinence. CASE REPORT: We present a rare case of a 4-year-old child with complete rectal prolapse of 12 cm in length. The prolapsed rectum was manually repositioned after reducing the oedema. The precipitating factor was identified as excessive straining while passing stools. A change in position while passing stools was advised along with a high fibre diet and a stool softener. Recurrence was not observed in the 3 month of follow-up. CONCLUSION: Most cases of pediatric rectal prolapse are managed conservatively by addressing the associated and precipitating etiological factors. Surgical intervention may be required for recurrent or persistent cases