Survey of Diesease Prediction on Plants with the Helps of IOT

overall climate change is a diversity in the long-term weather patterns that indicates the regions of the world. The term "weather" refers to the short-term (daily) changes in temperature, wind, and precipitation of a region.With the up-gradation in data mining and its applications, data mining is extensively used to make smarter decisions in farming.Agricultural forecasting is the science that employ knowledge in weather data relating to atmospheric environment observed by instruments on the ground and by remote sensing. Most of the data need to be processed for generating various decisions such as cropping and scheduling of irrigation.Various meteorological data like- temperature, humidity, leaf wetness duration (LWD) plays the vital roles in the growth of microorganism responsible for disease.Effective forecasting of such diseases on the basis of climate data can help the farmers to take timely actions to restrain the diseases. This can also justify the use of pesticides, which are one of the source behind land pollution. This paper illustrate the study which is useful for farmers in order to make decision if there is change occur in environment. In this study we are going to implement application which give the notification to farmers, if there is change in environment so based on that changes which disease should be affected to plant such type of notification will be generated on farmers mobile.Weather based forecasting system can be treated as a part of the Agricultural Decision Support System (ADSS) which is Knowledge Based System (KBS). IoT device that collects data regarding physical parameters, using a sophisticated microcontroller platform, from various types of sensors, through different modes of communication and then uploads the data to the Internet

Automated Tool for Calibration Features Checking Engine Platform

Fuel economy and government emissions regulations and other compulsory features like ABS and Cruise Control are important for automotive engine manufacturers. New engine sensors and actuators are introduced to meet these requirements, which increases engine complexity and cost. Calibration is the process of achieving optimal settings by evaluating the behavior of an engine. This multistep process involves designing tests, collecting data, analyzing the data and calibrating lookup tables to model the engine. This process helps to identify the optimal balance of engine performance, emissions, and fuel economy. There are number of calibration parameters which control the engine performance and behavior of its accessories. These parameters needs to be calibrated and adjusted to arrive at an engine settings which are optimized for performance, fuel economy, emissions and cost. In this project, we have developed an automated tool which helps in this calibration tuning process to reduce time and efforts. In this project, the calibration process is to be automated

Radiological and functional outcome of conservatively managed middle one third clavicle fractures

Background: We aim to assess radiological and functional outcome of conservatively managed middle one third clavicle fractures in Indian population. Clavicle fractures represent 2% to 10% of all fractures. In middle third clavicle fractures, conservative management is the commonest approach. In uncomplicated non displaced midshaft fractures, patients treated non operatively with these conservative measures have fewer complications and a timely recovery as those treated operatively. Conservative management is a simpler yet effective mode of management in middle one third clavicle fractures. Methods: Patients managed conservatively for clavicle fractures were assessed on OPD basis with follow up chest X-ray with bilateral shoulder AP view for radiological signs of union and assessing percent shortening and two questionnaires. Constant shoulder score which assess pain, degree of function, range of motion and muscular force and, simple shoulder test, self administered questionnaire defining one or more affirmative answers to find the satisfaction after treatment modality which were tabulated in Microsoft excel sheets. Results: Out of the 55 patients enrolled in the study 52 showed signs of union at 6 months follow up with mean fracture union time of 13.9 weeks. At 6 months follow up Mean Constant Shoulder score was 87.1 with excellent outcome in 67.67 percent patients and using Simple Shoulder Test satisfaction rate was found to be 78.18 percent. Conclusions: Solid evidence in favour of non-operative treatment for fractures with remaining contact of the bone fragments. Non-surgical management of middle third clavicle fractures yield excellent results. Clear indications for conservative treatment versus surgical fixation of displaced midshaft fractures have not finally been established yet. We recommend conservative management for uncomplicated middle one third clavicle fractures

Study of anti-nociceptive potential of physostigmine and its combination with morphine in albino rats

Background: The cholinergic drugs are having antinociceptive potential but are under investigation because of their serious side effects. It is difficult to accept them as an analgesic. This study is undertaken in the experimental animal models for the evaluation of the antinociceptive potential of Physostigmine and its combination with Morphine at their sub-analgesic doses. The objective of the study was to evaluate the antinociceptive effect of Physostigmine and its combination with subanalgesic dose of morphine and comparing their effect with analgesic dose of Morphine.Methods: Antinociceptive effect of Physostigmine in three graded doses (50, 100 & 200 µg/kg) and combination of Physostigmine at low dose (50 µg/kg) with sub-analgesic dose of Morphine (0.1 mg/kg) and Morphine in analgesic dose (1 mg/kg) was evaluated by using tail flick method in albino rats.Results: Comparison of maximal possible effect in percentage (MPE in %) between groups at 90 minutes in control, Morphine, Physostigmine in 50, 100, 200 µg/ kg doses and combination group respectively, demonstrated significant difference (p < 0.001) when compared by one way ANOVA test. There was no much increase in the tail flick latency in Physostigmine 50 µg/kg (SC) treatment at 90 min (3.08±0.15) in comparison to control (NS) treatment group. Combination treatment of low doses of both Physostigmine 50 µg/kg + Morphine 0.1 mg/kg increased the tail flick latency 90 min (7.08±0.15) in-comparison to control (NS) treatment group (3.33±0.11).Conclusions: Physostigmine is more potent antinociceptive than Morphine and Physostigmine potentiated the antinociceptive activity of low dose of standard drug Morphine

eNavigate: A Survey On Effective and Efficient User Website Navigation

Web Structure Improvement has attracted much attention now days. The large websites such as E-commerce, universities etc. have lots of pages visited by users daily. The users needed to be navigated effectively and efficiently throughout the website. Each user has its own set of target pages where the stay time is larger than that of other pages. While making website structure improvements the web master must consider the set of target pages of the users. The users’ web log must be maintained at the server side which further has to be divided into session and mini sessions. These mini sessions provides the inputs to extract the target pages of a specific user. The improvement in website must be done under some circumstances. The newly added links must satisfy some criteria such as how many number of links can be added. Previous literature provides some meaningful considerations about static and dynamic websites. The effective website structure improvements along with the set of target pages can be efficiently designed with static and informative websites while it’s difficult to consider the target pages in dynamic one. The structure optimization can be done with minimization or maximization strategies. Here in this survey paper we studied some previously published journals to get better knowledge about the web structure improvements for effective user navigation

The Use of Succinonitrile as an Electrolyte Additive for Composite-Fiber Membranes in Lithium-Ion Batteries

In the present work, the effect of temperature and additives on the ionic conductivity of mixed organic/ionic liquid electrolytes (MOILEs) was investigated by conducting galvanostatic charge/discharge and ionic conductivity experiments. The mixed electrolyte is based on the ionic liquid (IL) (EMI/TFSI/LiTFSI) and organic solvents EC/DMC (1:1 v/v). The effect of electrolyte type on the electrochemical performance of a LiCoO2 cathode and a SnO2/C composite anode in lithium anode (or cathode) half-cells was also investigated. The results demonstrated that the addition of 5 wt.% succinonitrile (SN) resulted in enhanced ionic conductivity of a 60% EMI-TFSI 40% EC/DMC MOILE from ~14 mS·cm−1 to ~26 mS·cm−1 at room temperature. Additionally, at a temperature of 100 °C, an increase in ionic conductivity from ~38 to ~69 mS·cm−1 was observed for the MOILE with 5 wt% SN. The improvement in the ionic conductivity is attributed to the high polarity of SN and its ability to dissolve various types of salts such as LiTFSI. The galvanostatic charge/discharge results showed that the LiCoO2 cathode with the MOILE (without SN) exhibited a 39% specific capacity loss at the 50th cycle while the LiCoO2 cathode in the MOILE with 5 wt.% SN showed a decrease in specific capacity of only 14%. The addition of 5 wt.% SN to the MOILE with a SnO2/C composite-fiber anode resulted in improved cycling performance and rate capability of the SnO2/C composite-membrane anode in lithium anode half-cells. Based on the results reported in this work, a new avenue and promising outcome for the future use of MOILEs with SN in lithium-ion batteries (LIBs) can be opened

Effectiveness of low dose physostigmine for dose reduction of morphine in pain management

Background: This is an interventional study, undertaken in the experimental animal models for the evaluation of the antinociceptive potential of Physostigmine and its combination with Morphine at their sub-analgesic doses. The objective of the study was to evaluate the antinociceptive potential of Physostigmine alone and in combination with morphine.Methods: Antinociceptive effect of Physostigmine in three graded doses (50, 100 and 200 μg/kg) and combination of Physostigmine at low dose (50 μg/kg) with sub-analgesic dose of Morphine (0.1 mg/kg) and Morphine in analgesic dose (1 mg/kg) was evaluated by using Hot Water Bath method in albino rats.Results: Comparison of maximal possible effect in percentage (MPE in %) between groups at 90 minutes in control, Morphine, Physostigmine in 50, 100, 200 μg/ kg doses and combination group respectively, demonstrated significant difference (p <0.001) when compared by one way ANOVA test. There was no much increase in maximal possible effect in the tail withdrawal latency in Physostigmine 50 μg/kg (SC) treatment at 90 min (5.50±0.88) in comparison to control (NS) treatment group. Combination treatment of low doses of both Physostigmine 50 μg/kg + Morphine 0.1 mg/kg increased in maximal possible effect the tail withdrawal latency 90 min (53.87±1.38) in-comparison to control (NS) treatment group (6.17±0.92).Conclusions: Physostigmine is more potent antinociceptive than Morphine and Physostigmine potentiated the antinociceptive activity of low dose of standard drug Morphine

Characterization of 10-hydroxygeraniol dehydrogenase from Catharanthus roseus reveals cascaded enzymatic activity in iridoid biosynthesis

Catharanthus roseus [L.] is a major source of the monoterpene indole alkaloids (MIAs), which are of significant interest due to their therapeutic value. These molecules are formed through an intermediate, cis-trans-nepetalactol, a cyclized product of 10-oxogeranial. One of the key enzymes involved in the biosynthesis of MIAs is an NAD(P)+ dependent oxidoreductase system, 10-hydroxygeraniol dehydrogenase (Cr10HGO), which catalyses the formation of 10-oxogeranial from 10-hydroxygeraniol via 10-oxogeraniol or 10-hydroxygeranial. This work describes the cloning and functional characterization of Cr10HGO from C. roseus and its role in the iridoid biosynthesis. Substrate specificity studies indicated that, Cr10HGO has good activity on substrates such as 10-hydroxygeraniol, 10-oxogeraniol or 10-hydroxygeranial over monohydroxy linear terpene derivatives. Further it was observed that incubation of 10-hydroxygeraniol with Cr10HGO and iridoid synthase (CrIDS) in the presence of NADP+ yielded a major metabolite, which was characterized as (1R, 4aS, 7S, 7aR)-nepetalactol by comparing its retention time, mass fragmentation pattern and co-injection studies with that of the synthesized compound. These results indicate that there is concerted activity of Cr10HGO with iridoid synthase in the formation of (1R, 4aS, 7S, 7aR)-nepetalactol, an important intermediate in iridoid biosynthesis

Improving the odds of drug development success through human genomics: modelling study.

Lack of efficacy in the intended disease indication is the major cause of clinical phase drug development failure. Explanations could include the poor external validity of pre-clinical (cell, tissue, and animal) models of human disease and the high false discovery rate (FDR) in preclinical science. FDR is related to the proportion of true relationships available for discovery (γ), and the type 1 (false-positive) and type 2 (false negative) error rates of the experiments designed to uncover them. We estimated the FDR in preclinical science, its effect on drug development success rates, and improvements expected from use of human genomics rather than preclinical studies as the primary source of evidence for drug target identification. Calculations were based on a sample space defined by all human diseases - the 'disease-ome' - represented as columns; and all protein coding genes - 'the protein-coding genome'- represented as rows, producing a matrix of unique gene- (or protein-) disease pairings. We parameterised the space based on 10,000 diseases, 20,000 protein-coding genes, 100 causal genes per disease and 4000 genes encoding druggable targets, examining the effect of varying the parameters and a range of underlying assumptions, on the inferences drawn. We estimated γ, defined mathematical relationships between preclinical FDR and drug development success rates, and estimated improvements in success rates based on human genomics (rather than orthodox preclinical studies). Around one in every 200 protein-disease pairings was estimated to be causal (γ = 0.005) giving an FDR in preclinical research of 92.6%, which likely makes a major contribution to the reported drug development failure rate of 96%. Observed success rate was only slightly greater than expected for a random pick from the sample space. Values for γ back-calculated from reported preclinical and clinical drug development success rates were also close to the a priori estimates. Substituting genome wide (or druggable genome wide) association studies for preclinical studies as the major information source for drug target identification was estimated to reverse the probability of late stage failure because of the more stringent type 1 error rate employed and the ability to interrogate every potential druggable target in the same experiment. Genetic studies conducted at much larger scale, with greater resolution of disease end-points, e.g. by connecting genomics and electronic health record data within healthcare systems has the potential to produce radical improvement in drug development success rate

Validation of lipid-related therapeutic targets for coronary heart disease prevention using human genetics

Drug target Mendelian randomization (MR) studies use DNA sequence variants in or near a gene encoding a drug target, that alter the target's expression or function, as a tool to anticipate the effect of drug action on the same target. Here we apply MR to prioritize drug targets for their causal relevance for coronary heart disease (CHD). The targets are further prioritized using independent replication, co-localization, protein expression profiles and data from the British National Formulary and clinicaltrials.gov. Out of the 341 drug targets identified through their association with blood lipids (HDL-C, LDL-C and triglycerides), we robustly prioritize 30 targets that might elicit beneficial effects in the prevention or treatment of CHD, including NPC1L1 and PCSK9, the targets of drugs used in CHD prevention. We discuss how this approach can be generalized to other targets, disease biomarkers and endpoints to help prioritize and validate targets during the drug development process