An ensemble multi-model technique for predicting chronic kidney disease

Chronic Kidney Disease (CKD) is a type of lifelong kidney disease that leads to the gradual loss of kidney function over time; the main function of the kidney is to filter the wastein the human body. When the kidney malfunctions, the wastes accumulate in our body leading to complete failure. Machine learning algorithms can be used in prediction of the kidney disease at early stages by analyzing the symptoms. The aim of this paper is to propose an ensemble learning technique for predicting Chronic Kidney Disease (CKD). We propose a new hybrid classifier called as ABC4.5, which is ensemble learning for predicting Chronic Kidney Disease (CKD). The proposed hybrid classifier is compared with the machine learning classifiers such as Support Vector Machine (SVM), Decision Tree (DT), C4.5, Particle Swarm Optimized Multi Layer Perceptron (PSO-MLP). The proposed classifier accurately predicts the occurrences of kidney disease by analysis various medical factors. The work comprises of two stages, the first stage consists of obtaining weak decision tree classifiers from C4.5 and in the second stage, the weak classifiers are added to the weighted sum to represent the final output for improved performance of the classifier

A STUDY ON DEVELOPMENT AND VALIDATION OF RP-HPLC METHOD FOR THE ESTIMATION OF CEFPODOXIME IN BULK AND A PHARMACEUTICAL DOSAGE FORMS

A simple, rapid, precise, sensitive and, reproducible reverse phase high performance liquid chromatography (RP-HPLC) method has been developed for the quantitative analysis of Cefpodoxime in a pharmaceutical dosage form. Chromatographic separation of Cefpodoxime was achieved on Waters Alliance -2695, by using Luna Pheny Hexyl (250mm x 4.6mm, 5µm) column and the mobile phase containing 0.1% TEA adj pH-2.5 with OPA & ACN in the ratio of 75:25% v/v. The flow rate was 1.0 ml/min, detection was carried out by absorption at 222nm using a photodiode array detector at ambient temperature. The number of theoretical plates and tailing factor for Cefpodoxime were NLT 2000 and should not be more than 2 respectively. The linearity of the method was excellent over the concentration range 7-105 µg/ml for Cefpodoxime respectively. The correlation coefficient was 0.999. % Relative standard deviation of peak areas of all measurements always less than 2.0. The proposed method was validated according to ICH guidelines.  The method was found to be a simple, economical, suitable, precise, accurate & robust method for quantitative analysis of Cefpodoxime and study of its stability

Effect of Heat Stress on Crossbred Dairy Cattle in Tropical Nepal: Impact on Blood Parameters

Chitwan district of Nepal has been known as the dairy kingdom of the country considering its strategic location andpotential to easily provision inputs and produce as well as market quality milk across the country. However, theclimate especially during summer has been a challenge to farmers that potentially compromise the daily milk yieldof cows. Therefore, sixteen crossbred dairy cattle were placed in a RCBD fashion to assess the impacts of cold waterbathing in ameliorating effect of heat stress on their performance and body physiology. Routine assessment of themicroclimate within the experimental shed and blood parameters was made. The results from the experimentinferred that frequency of bathing (none, once, twice or thrice a day) did not have any significant impact onHaemoglobin, Haematocrit, Sodium, Potassium, Chloride and Bicarbonate levels in the blood plasma(p>0.05). Inaddition, the animals did not exhibit any signs of physiological distress clinically either. A detailed study scopingtemperature humidity index and over a number of other milk and blood parameters are to be tested across a numberof other available breeds too in order for the researchers to come to a meaningful strategy to beat the heat stress

Secrecy Sustain Broadcast Assessment for Collective Information in Cloud Computing

Cloud computing could be a mode of method that shares computing resources considerably than enclose native servers or personal devices to regulate productions. Cloud information storage has varied compensations over native info storage. Client will transmit their info on cloud and retrieve those uploaded information from anytime and anyplace with none further burden. It condenses value by assign computing and tortuous, storage resources with associate on command provisioning mechanism counting on a forfeit use business type. The User doesn’t ought to agonize concerning storage and maintenance of cloud information. because the information is keep at the isolated place however users can get the confirmation a propos keep information. thence Cloud information storage ought to have some procedure which is able to detail storage correctness and integrity of data keep on cloud. Users will resort to a third-party auditor (TPA) to ascertain the honesty of outsourced information and be agonize gratis. TPA ought to be ready to competently audit the cloud information storage exclusive of difficult the native copy of data. Specifically, our involvement during this work are often potted because the following aspects: Stimulate the Public     Auditing procedure of information storage safety in Cloud Computing and supply a privacy conserving auditing rule, i.e., our proposal supports associate exterior auditor to audit user’s outsourced info within the cloud while not learning info on the info gist. In difficult, our theme accomplish batch auditing wherever many delegated auditing trip from completely different users are often execute at the same time by the TPA

Clustered Node Based Load Balancing In Distributed Environment

Cloud computing having tremendous growth on recent years but it is not segregation on shared clouds.  Distributed file systems are key building blocks for cloud computing applications based on the Map Reduce programming paradigm. In such file systems, nodes simultaneously serve computing and storage functions; a file is partitioned into a number of chunks allocated in distinct nodes so that Map Reduce tasks can be performed in parallel over the nodes. Data storage and communication which are to be done in huge amount, in such cases clouds are most provably used. "The cloud", also focuses on increasing the effectiveness of the public resources. Cloud resources are usually not only shared by multiple users but are also vigorously reallocated per demand. This can work for apportioning resources to users .But In the time of apportionment  these are indeed .So In this paper we are introducing novel mechanism. We investigate to implement security provided for cloud computing and Evaluate the Quality of Service-QOS (Ex. Response Time) of whole system. In cloud computing one server controls number of sub servers, files, it can add, delete, and append dynamically  Freight stabilization in the cloud computing surroundings has an imperative impact on the performance. Excellent freight stabilizing makes cloud computing more efficient and improves user satisfaction. In this paper we are presenting freight stabilizing techniques for cloud segregating

Higher-order nonequilibrium term: Effective power density quantifying evolution towards or away from local thermodynamic equilibrium

A common approach to assess the nature of energy conversion in a classical fluid or plasma is to compare power densities of the various possible energy conversion mechanisms. A forefront research area is quantifying energy conversion for systems that are not in local thermodynamic equilibrium (LTE), as is common in a number of fluid and plasma systems. Here, we introduce the ``higher-order non-equilibrium term'' (HORNET) effective power density that quantifies the rate of change of departure of a phase space density from LTE. It has dimensions of power density, which allows for quantitative comparisons with standard power densities. We employ particle-in-cell simulations to calculate HORNET during two processes, namely magnetic reconnection and decaying kinetic turbulence in collisionless magnetized plasmas, that inherently produce non-LTE effects. We investigate the spatial variation of HORNET and the time evolution of its spatial average. By comparing HORNET with power densities describing changes to the internal energy (pressure dilatation, $\rm{Pi-D}$, and divergence of the vector heat flux density), we find that HORNET can be a significant fraction of these other measures (8\% and 35\% for electrons and ions, respectively, for reconnection; up to 67\% for both electrons and ions for turbulence), meaning evolution of the system towards or away from LTE can be dynamically important. Applications to numerous plasma phenomena are discussed.Comment: 19 pages (including references), 7 figure

UPQC-Based Power Quality Improvement in Grid-linked PV, Battery & Wind Systems

This paper portrays an examination into the enhancement of power quality in grid-connected photovoltaic (PV), battery, and wind systems using Unified Power Quality Conditioner (UPQC). The incorporation of non-conventional energy resources such as PV, wind, and battery storage into the grid introduces challenges related to power fluctuations, voltage sags, harmonics, and power factor variations. To address these confronts, the UPQC approach is employed to improve power quality parameters and ensure grid stability. In this study, Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) techniques are utilized for both PV and wind energy systems to optimize power extraction from these sources. Additionally, Adaptive Neuro-Fuzzy Inference System (ANFIS) control is applied to the shunt and series inverters to regulate voltage levels, mitigate harmonics, and improve overall system efficiency. The ANFIS-based control strategy enhances the performance of the inverters by dynamically adjusting their parameters based on system operating conditions. Simulation results demonstrate the effectiveness of the proposed UPQC-based approach in mitigating power quality issues, reducing voltage fluctuations, improving power factor, and enhancing system stability during varying load conditions. The integration of P&O MPPT for PV and wind systems along with ANFIS control for inverters significantly contributes to the overall power quality enhancement in grid-linked non-conventional energy structures

Coexistence of carcinoma and tuberculosis in one breast

which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Background: The coexistence of breast cancer and tuberculosis is very rare. This can create a dilemma in the diagnosis and treatment as there are no pathognomonic symptoms or signs to distinguish both diseases. Case presentation: A female patient was seen in the breast clinic for a right breast lump. Clinical examination and investigation confirmed cancer and tuberculosis of the right breast. She underwent right mastectomy and axillary clearance and received chemo and radiotherapy. Unfortunately, she died of wide spread metastases. Conclusion: The simultaneous occurrence of these two major illnesses in the breast can lead to many problems regarding diagnosis and treatment. Though rare, surgeons, pathologists and radiologists should be aware of such condition. Background The coexistence of carcinoma and tuberculosis (TB) of the breast and the axillary lymph nodes is rare. The clinical situation

Finite dissipation in anisotropic magnetohydrodynamic turbulence

In the presence of an externally supported, mean magnetic field, a turbulent, conducting medium, such as plasma, becomes anisotropic. This mean magnetic field, which is separate from the fluctuating, turbulent part of the magnetic field, has considerable effects on the dynamics of the system. In this paper, we examine the dissipation rates for decaying incompressible magnetohydrodynamic (MHD) turbulence with an increasing Reynolds number and in the presence of a mean magnetic field of varying strength. Proceeding numerically, we find that, as the Reynolds number increases, the dissipation rate asymptotes to a finite value for each magnetic-field strength, confirming the Kármán-Howarth hypothesis as applied to MHD. The asymptotic value of the dimensionless dissipation rate is initially suppressed from the zero-mean-field value by the mean magnetic field but then approaches a constant value for higher values of the mean-field strength. Additionally, for comparison, we perform a set of two-dimensional (2DMHD) and a set of reduced MHD (RMHD) simulations. We find that the RMHD results lie very close to the values corresponding to the high-mean-field limit of the three-dimensional runs while the 2DMHD results admit distinct values far from both the zero-mean-field cases and the high-mean-field limit of the threedimensional cases. These findings provide firm underpinnings for numerous applications in space and astrophysics wherein von Kármán decay of turbulence is assumed