8 research outputs found

    Application of efficient soft computing approaches for modeling methyl ester yield from Azadirachta Indica (Neem) seed oil: A comparative study of RSM, ANN and ANFIS

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    This work centers on methyl ester yield modeling; by Azadirachta Indica seed oil (AISO) transesterification, using Adaptive Neuro-fuzzy Inference System (ANFIS), Artificial Neural Network (ANN) and Response Surface Methodology (RSM). AISO was obtained from the seeds of Azadirachta Indica tree. The oils were extracted from the seeds using solvent extraction method. The physicochemical properties of AISO and Azadirachta Indica seed oil methyl ester (MAISOt) were determined using standard methods. Fatty acid composition was determined using, Gas Chromatography (GC). Statistical evaluations of these models show their efficacy in the order RSM < ANN < ANFIS, with ANFIS as the best; as indicated by its very high R2 value of 0.9999 and low RMS error value of 0.0011. The ANFIS predicted minimum and maximum values for % methyl ester yields were 54.66 and 90.25 %, respectively, while the other models predicted similar methyl ester yields. The physicochemical characterization results of AISO and MAISOtsamples, show that their respective viscosity, dielectric strength (DS), pour and flash points values were (8.83 and 3.47 mm 2s−1), (33.42 and 48.93 KV), (9 and -6 °C), and (162 and 174 °C). These results indicated the MAISOtsample’s potential use as a transformer fluid. GC result indicated that MAISOtwas unsaturated. Finally, on the basis of the gotten model results, ANFIS was adjudged as the best predictive model, followed by ANN and RSM, in that order

    Implementation and early outcomes from an anal cancer screen and treat program in Nigeria

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    Background: The risk for anal cancer is 52-fold higher in men who have sex with men (MSM) living with HIV but screening is not available in Nigeria. This study trained clinicians to screen and treat using high resolution anoscopy (HRA) and evaluate the prevalence of anal precancer. Methods: TRUST/RV368 recruited MSM for anal cancer screening in Abuja, Nigeria. Between Aug/2016-Aug/2017, 426 men completed a screening questionnaire, had a digital anorectal exam and underwent HRA. Participants could enroll in the study's initial training phase, the pilot study, or both. The most severe diagnosis on histology or cytology determined the final result. All men diagnosed with high-grade squamous intraepithelial lesions (HSIL) were offered ablative treatment with a hyfrecator. Results: Median age was 24 years (interquartile range [IQR]: 22–29) and median years since sexual debut was 6 (IQR:3–11). More HIV-infected MSM participated in the training phase as compared to the pilot (80% vs. 59%). For the 121 MSM screened during training, 9.9% (95% CI: 5.2–16.7) had low-grade squamous intraepithelial lesions (LSIL). For the 362 participants seen during the pilot study, 50.2% (95% CI:45.0–55.5) had LSIL, and 6.3% (95% CI:4.1–9.4) had HSIL. HSIL was not detected during training but it was more often detected among HIV-infected as compared to HIV-uninfected (8% vs. 4%, p<0.01) during the pilot study. Conclusions: Screening improved with time and experience. However, HSIL has been reported higher in some experienced clinics, suggesting that more on-site monitoring and experience are needed to further improve technique
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