An Effective Disease Prediction System using CRF based Butterfly Optimization, Fuzzy Decision Tree and DBN

Diabetes is a seriously deadly disease today. It is necessary to enable patients to control their blood glucose levels. Even though, in the past, various researchers proposed numerous diabetic detection and prediction systems they are not fulfilling the requirements in terms of detection and prediction accuracy. Nowadays, diabetes patients are utilizing the gadgets like Wireless Insulin Pump that passes into the body instead of syringes for filling insulin. Within this context, insulin treatment is necessary for avoiding life-threatening. Toward this mission, a new deep learning approach-based disease detection system is introduced which takes care of identifying Type-1 and Type-2 diabetes, heart diseases, and breast cancer. In this system, a new Conditional Random Field based Butterfly Optimization Algorithm (CRF-BOA) is developedto select the important features for identifying the Type-1 and Type-2 diabetic disease. Besides, a new fuzzy ID3 classification method is developed for classifying the patient's datasets either normal or abnormal and disease affected. Ultimately, by applying the deep belief network (DBN) the classified patient records are involved with training to identify the relevant symptoms of similarity and glucose status of various patient records. These experiments are being conducted for proving the efficiency of the proposed deep learning approach in terms of glucose monitoring efficiency and disease prediction accuracy.The proposed approach achieved high detection accuracy than the current deep learning approaches in this directionbased on error rate and accuracy

Modelling of DPF regeneration using microwave energy

FEM based models in COMSOL multiphysics have been used to simulate regeneration of diesel particulate filter following the layout of an existing microwave cavity. The study utilized the physics packages in the software to model the electric field and thermal profiles of the microwave cavity and DPF. This was used to establish dimensions for microwave cavity and DPF. Further it was possible to integrate the heating properties of the Silicon Carbide used in the DPF substrate. The electric field and thermal profiles of the microwave cavity, as well as the DPF were investigated for the established dimensions and simulated results were compared with experiments. In the experiment, we deployed microwave power generated by a 2.45GHz magnetron into the existing microwave cavity to regenerate DPF. The results of the experiments showed the thermal profiles during DPF regeneration to be in agreement with the profiles from the simulated results. The scheme was further used to improve the design of the cavity for better energy utilization and DPF regeneration efficiency. Electric field and thermal profiles of the microwave cavity were established for various dimensions of microwave cavity for a given DPF size and the results were investigated. It was found that cylindrical cavity (diameter of 153mm and length of 533mm) gives the optimal dimensions for the regeneration of a commercial DPF (143mm (diameter) x 183mm (length) viewed in terms of near homogeneous electric field distribution.Authors wish to acknowledge InnovateUK for the financial support provided to the project ‘Marine Exhaust Gase Treatment System (MAGS) {grant reference number 42471-295209)’, in which, the presented work is part of

Processing of Spatio-Temporal Hybrid Search Algorithms in Heterogenous Environment Using Stochastic Annealing NN Search

In spatio-temporal database the mixed regions are present in a random manner. The existing work produces the result to create new research opportunities in the area of adaptive and hybrid SLS algorithms. This algorithm develops initialization algorithms which are used only for the homogenous environment. Most current approaches assume, as we have done here, only the homogenous mixtures. Approach: To overcome the above issue, we are going to implement a new technique termed Stochastic Annealing Nearest Neighbor Search using hybrid search algorithms (SANN- HA) for spatio-temporal heterogeneous environment to retrieve the best solution. It provides enhanced fits for definite run length distributions, and would be useful in other contexts as well. Results: Performance of Stochastic Annealing Nearest Neighbor Search using hybrid search algorithms is to discover different sub explanations using different mixture of algorithms in terms of run length distribution and average time for execution based on data objects. Conclusion: It considers the problem of retrieving the high quality solution from the heterogeneous environment. An analytical and empirical result shows the better result with the efficient hybrid search algorithms of our proposed SANN scheme

Magnetic properties of Hydrogenated Li and Co doped ZnO nanoparticles

The effect of hydrogenation on magnetic properties of Zn0.85Co0.05Li0.10O nanoparticles is presented. It was found that the sample hydrided at room temperature (RT) showed weak ferromagnetism (FM) while that hydrided at 400oC showed robust ferromagnetism at room temperature. In both cases reheating the sample at 400oC in air converts it back into paramagnetic state (P) completely. The characterization of samples by X-ray and electron diffraction (ED) showed that room temperature ferromagnetism observed in the samples hydrogenated at RT is intrinsic in nature whereas that observed in the samples hydrogenated at 400oC is partly due to the cobalt metal clusters.Comment: 10 pages, 3 figure

Decolourization of Textile Azo Dyes by using Bacteria Isolated from Textile Dye Effluent

The present study was carried out to isolate dye decolourizing bacteria and to study the dye decolourizing ability.  Different bacterial isolate such as, Bacillus sp., Escherichia coli and Pseudomonas fluorescens were isolated from textile dye effluent sample and used for the decolourization study. It was noticed that there was a decrease in the OD in all the three species of all the five dyes as the incubation period increased. Pseudomonas fluorescens was more effective followed by Bacillus, and Escherichia coli. It was found that all the isolated bacteria were efficient decolourizers of Orange 3R.  The decolourization of dye amounted to 59, 77, 79 respectively within 16 days.  Yellow GR was recalcitrant to decolourization, the O.D. value from an initial value of 0.6912 was reduced only to 0.303 and from 0.746 to 0.218, 1.236, to 1.33 by Pseudomonas fluorescens, Bacillus sp. and Escherichia coli respectively. Percentage decolourization was 43%, 15%, 90% respectively. The percentage of decolourization of Orange GR is slightly higher than Blue 3R and the percentage decolourization of Black RL is similar to T Blue

3-Amino­phenyl naphthalene-1-sulfonate

In the title compound, C16H13NO3S, the plane of the naphthalene ring system forms a dihedral angle of 64.66 (10)° with the benzene ring. The mol­ecular structure is stabilized by weak intra­molecular C—H⋯O inter­actions and the crystal packing is stabilized by weak inter­molecular N—H⋯O and C—H⋯O inter­actions and by π–π stacking inter­actions of the inversion-related naphthalene units [centroid–centroid distance of 3.7373 (14) Å]

Formulation Design, Development and Invitro Evaluation of Mouth Dissolving Tablets of Zolmitriptan

AIM &OBJECTIVES: Difficulty in swallowing (dysphagia) is a common problem of all age groups, especially the elderly and pediatrics, because of physiological changes associated with those groups. Other categories that experience problems in using conventional oral dosage forms include the mentally ill, uncooperative and patients suffering from nausea, motion sickness, sudden episodes of allergic attack or coughing. Sometimes it may be difficult to swallow conventional products due to non-availability of water. These problems led to the development of a novel type of solid oral dosage form called orodispersible tablet, which disintegrates/dissolves rapidly in saliva without the need of drinking water. The benefits in terms of patient compliance, rapid onset of action, increased bioavailability and good stability make these tablets popular as a dosage form of choice in the current market. Some drugs are in such cases bioavailability of drug is significantly greater than those observed from conventional tablet dosage form. The basic approach used in the development of the ODTs is the use of superdisintegrants. Many approaches have been developed to manufacture ODTs. These include vacuum drying direct compression, lyophilization and molding. The direct compression method is inexpensive and convenient for producing tablets of sufficient mechanical strength. Zolmitriptan are the new serotogenic agonist with excellent oral bioavailability exhibiting a potent symptomatic antimigraine effect. Zolmitriptan is a selectiveagonist of 5-HT1 B/D receptors. In the present study, orodispersible tablets of Zolmitriptan are designed by using polymers namely Pharmabusrst, Pearlitol Flash and Panexcea ODT. Effervescent substances like citric acid and sodium stearyl fumarate. Accelerated the superdisintegrant action and mask the bitter taste of zolmitriptan. The designed tablets were evaluated for thickness, hardness, friability, weight variation, in vitro dispersion time, wetting time, water absorption ratio, disintegration time, drug content uniformity, in vitro dissolution rate (in pH 6.8 phosphate buffer), short term stability and drug excipient interactions (IR spectroscopy). OBJECTIVES OF THE WORK: The present work is an attempt: 1. To formulate and evaluate orodispersible tablets. 2. To enhance the bioavailibity. 3. Ease of administration to paediatrics and geriatrics. 4. To evaluate for the pre-formulation characteristics of powder mixture like bulk density, flow property, angle of repose, compressibility index etc. 5. To evaluate the post-formulation characteristics of the tablet like hardness, friability, disintegration time, dispersion time, etc. 6. To carry out in vitro dissolution studies of the tablet formulations. 7. To carry out stability studies according to ICH guidelines To formulate orally disintegrating tablets of Zolmitriptan, 5 mg by a simple direct compression process and to evaluate the physico-chemical characteristics of the designed tablets against the marketed product. CONCLUSION: Orodispersible tablets of Zolmitriptan are prepared by direct compression method. The formulation FZ9 containing 10% of superdisintegrant (i.e) Pharmaburst ODT has shown best release with 100.3% at the end of 15minuts. The effervescent mixture further assists in taste masking of Zolmitriptan. According to FTIR studies there is no incompatibility shown in FZ9. The formulation FZ9 was stable at 40°C±2ºC and 75%RH±5%RH. In conclusion formulation FZ9 achieved the targets of the present study such as, • Not require water to swallow, but it should dissolve or disintegrate in the mouth in matter of seconds. • To mask the bitter taste. • Have a pleasant mouth feel. • Rapid dissolution of drug and absorption which may produce rapid, onset of action. • Improved bioavailability

Effect of different phosphorus sources applied with phosphate solubilizing bacteria on bio-geochemical properties and phosphorus release pattern in vertisol

Various phosphorus (P) fertilizers are used for crop production in different types of soil. But there is a knowledge gap in choosing the right source and form of  P fertilizers to enhance the applied fertilizer use efficiency. An experiment was taken to identify the best phosphorus source and its effectiveness as a source of P in vertisol to unravel this problem of selecting suitable P fertilizer. With this background, an incubation experiment was conducted under laboratory condition to determine the phosphorus release pattern of different P sources [Single Super Phosphate (SSP), Rock Phosphate (RP), Diammonium Phosphate (DAP), Nano phosphate (Nano P), Phosphocompost (PC)] applied with phosphate solubilizing bacteria (PSB) and their influence on biogeochemical properties in vertisol.  Experimental results emphasized that P release from different sources was influenced by soil pH, electrical conductivity (EC), cation exchange capacity (CEC), soil organic carbon (SOC), and microbial population. Applied P sources significantly(p=0.05) influenced the CEC, SOC, and microbial population except for soil pH and Ec. The maximum release in available P was obtained at 30 and 60 days after incubation with SSP +PSB  (35.8 and 40.1 mg kg-1) and Nano P + PSB (33.9 and 38.6 mg kg-1) applied treatments, respectively.Whereas at 90 days after incubation Nano P + PSB (42.3 mg kg-1) and Phosphocompost + PSB (40.4 mg kg-1) treatments recorded the maximum P availability and minimum P (15.2, 13.9 and 11.8 mg kg -1) release was noticed in the control treatment throughout the period of incubation. It was evident that SSP or Nano P along with PSB application might be the best P source for Vertisol

Comparison of Super Resolution Reconstruction Acquisition Geometries for Use in Mouse Phenotyping

3D isotropic imaging at high spatial resolution (30–100 microns) is important for comparing mouse phenotypes. 3D imaging at high spatial resolutions is limited by long acquisition times and is not possible in many in vivo settings. Super resolution reconstruction (SRR) is a postprocessing technique that has been proposed to improve spatial resolution in the slice-select direction using multiple 2D multislice acquisitions. Any 2D multislice acquisition can be used for SRR. In this study, the effects of using three different low-resolution acquisition geometries (orthogonal, rotational, and shifted) on SRR images were evaluated and compared to a known standard. Iterative back projection was used for the reconstruction of all three acquisition geometries. The results of the study indicate that super resolution reconstructed images based on orthogonally acquired low-resolution images resulted in reconstructed images with higher SNR and CNR in less acquisition time than those based on rotational and shifted acquisition geometries. However, interpolation artifacts were observed in SRR images based on orthogonal acquisition geometry, particularly when the slice thickness was greater than six times the inplane voxel size. Reconstructions based on rotational geometry appeared smoother than those based on orthogonal geometry, but they required two times longer to acquire than the orthogonal LR images

Combustion and Emission Analysis of Mahua and Jujube Biodiesel Blends as Fuel in a CI Engine

This present study on biodiesel blends shows the performance, emission and combustion characteristics of the DI diesel engine, which is been run independently on direct diesel fuel, 20% blending of zizipus jujbe methyl ester (ZJME20), and 20% blending of mahua methyl ester (MME20) with diesel. In this study, the tested fuels were obtained by catalytic transesterification process. Based on the experimental results, MME20 is favorable for less HC, CO, and smoke density than diesel and ZJME20. Based on the brake thermal efficiency and specific fuel consumption, MME20 is better when compared with ZJME20. The result also showed momentous improvement in the heat releasing rate due to the better performance characteristic of MME20