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Artificial Intelligence (AI) techniques getting at any point present in modern business and regular day to day existence is additionally consistently being applied to Healthcare. In various pieces of regulatory cycles and patient thoughts by making use of Artificial Intelligence in Healthcare services can possibly help Healthcare services suppliers. Most of the AI and medical services innovations have solid importance to the Healthcare field, yet the strategies they backing can shift essentially and keeping in mind that a few review papers on Artificial Intelligence in Healthcare recommend that by making use of Artificial Intelligence in Healthcare can perform similarly too or better than people at specific techniques, like diagnosing disease, it will be a significant number of years before AI in Healthcare services replaces people for an expansive scope of medical tasks. By using Artificial Intelligence it is expecting to mirror human mental capacities and limits. It is acquiring a change point of view to constrain by extending accessibility of Healthcare, services information, and quick progression of investigation methods. Significant illness areas by making use of AI techniques incorporate cardiology, Cancer, neurology, and then we review the applications, Ethical issues in the application of AI to Healthcare and conclude about the different AI frameworks.

Requirements elicitation (RE) phase is very critical and crucial to the success of IS projects in telecommunication sector. Unfortunately, this phase of IS projects development is susceptible to a large degree of errors, affected by key factors embedded in the applied communication techniques, which results in a requirement conflicts that widen the gap of what is being build and what is being desired by the stakeholders. The aim of this paper is to present a Requirements conflict resolution and communication model to address the lack of a systematic mechanism to quantify the communication obstacles and to classify the requirements conflicts in the RE phase. The proposed model will introduce the conflict detection and resolution mechanism based on the normalized cross correlations function (NCCF), standard deviation (SD) and the standard error (SE) functions to detect and quantify the conflicted requirements based on the calculation of the requirements correlations and accuracy. The proposed model will overcome the reoccurring issues of the requirement elicitation phase.

The use of reusable, affordable, and inert adsorbents as a means to mitigate copper pollution, with a lesser burden on the environment, has been attracting some attention. However, aiding the adsorption process of a promising adsorbent, such as expanded volcanic glass (perlite), with a reducing companion, such as solid iron, that can displace and dispose of copper from polluted water has never been tested before. In this laboratory study, we investigated the removal of Cu2+, resulting from contaminating freshwater with copper sulphate pentahydrate, using simultaneous or non-simultaneous (sequential) mixes of expanded perlite and iron coarse powder over 23 hours. The percentage of copper removed was calculated at 15 min, 40 min, 120 min, 300 min, and 1380 min using induced coupled plasma (ICP-OES). A rapid removal of 71% at 120 min was achieved when the perlite and iron were added simultaneously in separate permeable pouches; the application of the iron after the perlite led to 78% of removal at 1380 min that was almost identical to what was accrued via perlite alone (77%). This, therefore, suggests that the presence of iron is most advantageous in the short run as it leads to fast uptake of Cu2+, attributable to the combined action of the reduction of Cu2+ by iron and Cu2+ adsorption by perlite. Further investigation in support of the results was carried out using Energy-Dispersive X-Ray Spectroscopy (EDAX), X-Ray Diffraction (XRD), Brunauer, Emmett and Teller (BET), and Fourier-Transform Infrared Spectroscopy (FTIR). The findings of this multidisciplinary work provide insights and mechanisms for heavy metal removal from water in a relatively short time using a novel time-specific combination of iron and perlite and thus merit wider testing across different classes of adsorbents, pollutants, and water systems.

Technique selection is one of the frequent issues in the requirement elicitation process; this issue has a major impact on the final requirement report output. The inappropriate selection of the techniques could lead to improper requirements and thus increase the risk of failure for the intended project. This paper addresses the technique selection issue encountered during the requirements elicitation stage, through a proposed a machine learning model to transfer the experts’ knowledge of elicitation technique selection of the less experienced. Based on the system analysts, stakeholders and technique properties as such systems and automate the technique selection process to provide the best optimization technique nomination, for the elicitation case complexity characteristics.

The job of this research is to filter the diseased part of the leaf from the leaf images. The authors proposed and implemented image processing technique using OpenCV for separating the diseased part of the leaf from the image of the leaf. Foreground Extraction, Edge Detection, Color filtering and Combination of Edge Detection with Color Filtering is done for wheat images.This novel technique can facilitate the process of the detection of diseases in wheat plants. The system allows to follow a particular pattern of capturing images of plants so that threats will be analysed quickly. Apart from helping humans to detect the diseases in plants, this research work can automate the process of detection without the need of human resources for feeding dataset to model, which is a much reliable process. This research will ultimately contribute in automation of agriculture processes faster and will make farmers to cultivate more in less amount of time.

Volterra integral equations are a special type of integrative equations; they are divided into two categories referred to as the first and second type. This paper will deal with the second type which has wide range of the applications in physics and engineering problems. Spline functions are piece-wise polynomials of degree n joined together at the break points with n-1 continuous derivatives. The break points of splines are called Knot, spline function can be integrated and differentiated due to being piece wise polynomials and can easily store and implemented on digital computer, non-polynomial spline function apiece wise is a blend of trigonometric, as well as, polynomial basis function, which form a complete extended Chebyshev space. Matlab is a powerful computing system for handling the calculations involved scientific and engineering problems. The aim of this paper is to compare between Adomain decomposition method and numerical solution to solve Volterra Integral Equations of second kind using the fifth order non-polynomial Spline functions by Matlab. We followed the applied mathematical method numerically by Matlab. Numerical examples are presented to illustrate the applications of this methods and to compare the computed results with analytical solutions. Finally by comparison of numerical results, Simplicity and efficiency of this method be shown.

Summary Background Human genetic factors are important determinants of malaria risk. We investigated associations between multiple candidate polymorphisms—many related to the structure or function of red blood cells—and risk for severe Plasmodium falciparum malaria and its specific phenotypes, including cerebral malaria, severe malaria anaemia, and respiratory distress. Methods We did a case-control study in Kilifi County, Kenya. We recruited as cases children presenting with severe malaria to the high-dependency ward of Kilifi County Hospital. We included as controls infants born in the local community between Aug 1, 2006, and Sept 30, 2010, who were part of a genetics study. We tested for associations between a range of candidate malaria-protective genes and risk for severe malaria and its specific phenotypes. We used a permutation approach to account for multiple comparisons between polymorphisms and severe malaria. We judged p values less than 0·005 significant for the primary analysis of the association between candidate genes and severe malaria. Findings Between June 11, 1995, and June 12, 2008, 2244 children with severe malaria were recruited to the study, and 3949 infants were included as controls. Overall, 263 (12%) of 2244 children with severe malaria died in hospital, including 196 (16%) of 1233 with cerebral malaria. We investigated 121 polymorphisms in 70 candidate severe malaria-associated genes. We found significant associations between risk for severe malaria overall and polymorphisms in 15 genes or locations, of which most were related to red blood cells: ABO, ATP2B4, ARL14, CD40LG, FREM3, INPP4B, G6PD, HBA (both HBA1 and HBA2), HBB, IL10, LPHN2 (also known as ADGRL2), LOC727982, RPS6KL1, CAND1, and GNAS. Combined, these genetic associations accounted for 5·2% of the variance in risk for developing severe malaria among individuals in the general population. We confirmed established associations between severe malaria and sickle-cell trait (odds ratio [OR] 0·15, 95% CI 0·11–0·20; p=2·61 × 10−58), blood group O (0·74, 0·66–0·82; p=6·26 × 10−8), and –α3·7-thalassaemia (0·83, 0·76–0·90; p=2·06 × 10−6). We also found strong associations between overall risk of severe malaria and polymorphisms in both ATP2B4 (OR 0·76, 95% CI 0·63–0·92; p=0·001) and FREM3 (0·64, 0·53–0·79; p=3·18 × 10−14). The association with FREM3 could be accounted for by linkage disequilibrium with a complex structural mutation within the glycophorin gene region (comprising GYPA, GYPB, and GYPE) that encodes for the rare Dantu blood group antigen. Heterozygosity for Dantu was associated with risk for severe malaria (OR 0·57, 95% CI 0·49–0·68; p=3·22 × 10−11), as was homozygosity (0·26, 0·11–0·62; p=0·002). Interpretation Both ATP2B4 and the Dantu blood group antigen are associated with the structure and function of red blood cells. ATP2B4 codes for plasma membrane calcium-transporting ATPase 4 (the major calcium pump on red blood cells) and the glycophorins are ligands for parasites to invade red blood cells. Future work should aim at uncovering the mechanisms by which these polymorphisms can result in severe malaria protection and investigate the implications of these associations for wider health. Funding Wellcome Trust, UK Medical Research Council, European Union, and Foundation for the National Institutes of Health as part of the Bill & Melinda Gates Grand Challenges in Global Health Initiative.

Aim: This cross-sectional survey was conducted to detect anti- N. caninum antibodies in bovine dams' sera samples in nine States of the Sudan. Materials and Methods: Two hundred and seventy six bovine dams' sera samples collected from nine States in the Sudan were screened for anti-Neospora caninum antibodies using a commercial competitive ELISA (cELISA) kits. Results: The results showed an overall prevalence rate of 15.9% (range 6.7% - 70%) of Neospora caninum antibodies. The prevalence rates were high in White Nile (70%) and North Kordofan (30%), moderate in the Northern (15.6%), Red Sea (13.3%) States and was low in the South Kordofan (9.4%) and River Nile (6.7%). States with high values of percentage inhibition (PI) detected in White Nile State compared to other States. No antibodies were detected in El Gadarif, Kassala and South Darfur States. The prevalence was observed to be high in crossbred dams (70%) with statistically significant difference (P

Background Many studies report associations between human genetic factors and immunity to malaria but few have been reliably replicated. These studies are usually country-specific, use small sample sizes and are not directly comparable due to differences in methodologies. This study brings together samples and data collected from multiple sites across Africa and Asia to use standardized methods to look for consistent genetic effects on anti-malarial antibody levels. Methods Sera, DNA samples and clinical data were collected from 13,299 individuals from ten sites in Senegal, Mali, Burkina Faso, Sudan, Kenya, Tanzania, and Sri Lanka using standardized methods. DNA was extracted and typed for 202 Single Nucleotide Polymorphisms with known associations to malaria or antibody production, and antibody levels to four clinical grade malarial antigens [AMA1, MSP1, MSP2, and (NANP)4] plus total IgE were measured by ELISA techniques. Regression models were used to investigate the associations of clinical and genetic factors with antibody levels. Results Malaria infection increased levels of antibodies to malaria antigens and, as expected, stable predictors of anti-malarial antibody levels included age, seasonality, location, and ethnicity. Correlations between antibodies to blood-stage antigens AMA1, MSP1 and MSP2 were higher between themselves than with antibodies to the (NANP)4 epitope of the pre-erythrocytic circumsporozoite protein, while there was little or no correlation with total IgE levels. Individuals with sickle cell trait had significantly lower antibody levels to all blood-stage antigens, and recessive homozygotes for CD36 (rs321198) had significantly lower anti-malarial antibody levels to MSP2. Conclusion Although the most significant finding with a consistent effect across sites was for sickle cell trait, its effect is likely to be via reducing a microscopically positive parasitaemia rather than directly on antibody levels. However, this study does demonstrate a framework for the feasibility of combining data from sites with heterogeneous malaria transmission levels across Africa and Asia with which to explore genetic effects on anti-malarial immunity. Electronic supplementary material The online version of this article (doi:10.1186/s12936-015-0833-x) contains supplementary material, which is available to authorized users.

Additional File LFST1A: Details of gene regions selected for genotyping and the SNP assay design details. This file contains a list of the genes from which SNPs were selected and typed for this study. Information is provided on the gene and its genomic location with respect to the Human Reference genome build GRCh37. Also provided is a table containing the assay design details for each SNP used in this study for the Agena Biosciences iPLEX genotyping platform. SNPs are grouped into multiplexes as assigned by the assay design software.

Additional Figure SF5: Plot for 178 SNPs with logged anti-malarial antibody levels. Plot for the P-values of the analyses of 178 SNPs with logged anti-malarial antibody levels Adjusted for age, gender, parasite density, village (>20), ethnicity (>20), sample month (>20) and study. This is an extension to that shown in the main text and is a reduced dataset as not all sites provided parasitaemia data.

A cross-sectional survey was conducted in Sudan to determine sero-prevalence and risk factors associated with Neospora caninum infection in non-vaccinated dairy herds and to assess importance of the disease. Blood samples were collected from a total of 262 animals from 25 herds. Sera were tested for antibodies against N. caninum using ELISA test. The prevalence rates of N. caninum antibodies in cattle were high both at herd level (44%) and at individual animal level (10.7%). Herd level infection rates were similar in Khartoum State (43.7%) and at Gazira States (44.4%). The overall prevalence rates were higher (16.1%) in Gazira State than in Khartoum State (9%) but with no significant variation. The sero-prevalence at individual animal level was significantly higher (p0.05) in animals with history of abortion (12.8%) than in apparently healthy animal (11.3%), animal with history of infertility (8.1%), or neonatal death of calves (4.3%). In addition, significantly higher (P0.05) sero-prevalence was observed in samples collected during the rainy season (6.87%) than winter (3.05%) or summer (0.76%). However, no significant differences in sero-prevalence due to locality, animal breed, sex, and age were observed (p0.05). This preliminary study reveals for the first time the existence of natural N. caninum infection in Sudan. Also, the findings of the present study indicated that this disease is highly prevalent in two major areas of dairy production in the country, and this calls for control strategy to be implemented.