Application of multivariate regression on magnetic data to determine further drilling site for iron exploration

In this study, a new approach of the multivariate regression model has been applied to make a precise mathematical model to determine further drilling for the detailed iron exploration in the Koohbaba area, Northwest of Iran. Furthermore, to figure out the additional drilling locations, the ore length to the total core ratio for the drilled boreholes has been used based on the geophysical exploration dataset. Hence, different regression analyses including linear, cubic, and quadratic models have been applied. In this study, the ore length to the total core ratio of the chosen drilled boreholes has been considered as a dependent variable; besides, the outputs of the magnetic data using the UP10 (10m upward-continuation), RTP (reduction to the pole), and A.S. (analytic signal) techniques have been designated as independent variables. Based on probability value (p-value), coefficients of determination (R2 and R2_adj), and efficiency formula (EF), the fourth regression model has revealed the best results. The accuracy of the model has been confirmed by the defined ratio of boreholes and demonstrated by four additional drilled boreholes in the study area. Therefore, the results of the regression analysis are reasonable and can be used to determine the additional drilling for the detailed exploration

FUCOM-MOORA and FUCOM-MOOSRA: new MCDM-based knowledge-driven procedures for mineral potential mapping in greenfields

AbstractIn this study, we present the application of two novel hybrid multiple-criteria decision-making (MCDM) techniques in the mineral potential mapping (MPM), namely FUCOM-MOORA and FUCOM-MOOSRA, as robust computational frameworks for MPM. These were applied to a set of exploration targeting criteria of skarn. The multi-objective optimization method on the basis of ratio analysis (MOORA) and the multi-objective optimization on the basis of simple ratio analysis (MOOSRA) approaches are used to prioritize and rank individual cells. What makes MOORA and MOOSRA more reliable compared to many other methods is the fact that the optimizations procedure is applied to calculate the prospectivity score of individual unit cells. This reduces the uncertainty stemming from erroneous mathematical calculations. The full consistency method (FUCOM), on the other hand, is useful for assigning weights to the spatial proxies. The FUCOM method, as a pairwise comparison method, reduces a large number of pairwise comparisons of similar and popular approaches such as analytic hierarchy process (AHP) with $$n\left( {n - 1} \right)/2$$ n n - 1 / 2 and the best–worst method (BWM) with $$2n - 3$$ 2 n - 3 number of pairwise comparisons with $$n - 1$$ n - 1 which leads to a less time-consuming and more consistent performance compared with AHP and BWM. These were applied to a set of exploration targeting criteria of skarn iron deposits from Central Iran. Two potential maps were retrieved from the procedures applied, the comparison of which using correct classification rates and field checks revealed the superiority of FUCOM-MOOSRA over the FUCOM-MOORA

Serum ferritin concentration in gestational diabetes mellitus and risk of subsequent development of early postpartum diabetes mellitus.

PURPOSE: To compare the serum ferritin concentrations of normal pregnant women with those having gestational diabetes mellitus (GDM) and to determine the possible role of ferritin in predicting pregnancy outcome and early development of postpartum glucose intolerance and diabetes mellitus. METHOD: This case-control study consisted of 128 pregnant women (64 women with GDM and 64 age-matched healthy pregnant women) seen at a university hospital in Zanjan, Iran. Anthropometric measurements were determined, and serum ferritin, C-reactive protein, insulin, glycosylated hemoglobin (HbA(1c)), and hemoglobin levels were measured. Pregnancy outcomes were recorded in all subjects. In the women with GDM, a diagnostic oral glucose tolerance test was performed eight weeks after delivery. RESULTS: Women with GDM had a higher concentration of serum ferritin (112 ± 28.4 pmol/L in GDM versus 65 ± 16.9 pmol/L in controls, P < 0.001). A positive correlation was found between serum ferritin level and mid-pregnancy fasting plasma glucose and HbA(lc) levels. Although women in the highest quartile of serum ferritin had a greater than two-fold increased risk of GDM, no significant correlation was found between ferritin levels and early postpartum oral glucose tolerance test results. CONCLUSIONS: Elevated serum ferritin concentrations in mid-pregnancy are associated with an increased risk of GDM independent of C-reactive protein and body mass index. Ferritin levels in GDM cannot be used as an indicator to predict subsequent glucose concentration in early postpartum oral glucose tolerance test

DEMİR SKARN CEVHERİ ARAŞTIRMASINA YÖNELİK HARİTALAMADA ÖRTÜ KATSAYISI VE (AHP AĞIRLIĞINA GÖRE) TOPSIS UYGULAMALARI: SARVİYAN SAHASI ÖRNEK OLAY ÇALIŞMASI, MARKAZİ BÖLGESİ, İRAN

Bu araştırmanın amacı, kestirim amaçlı skarn potansiyel haritarında Örtü Katsayısı (ÖK) ile TOPSIS (AHP ağırlığına göre) uygulamalarını karşılaştırmaktır. Bu makalede, Kalsik Demir Skarn cevherleşmesi için ölçütler ve alt ölçütler, maden üretkenlik haritaları hazırlamak açısından önem sırasına göre tanıtılmıştır. Skarn yatakları için, ÖK ve TOPSIS yöntemleri uygulanarak hazırlanan final üretkenlik haritalarındaki değerler, üretkenlik değerinin 10 alt sınıfa bölünmesi ile atanmıştır. Daha iyi karşılaştırılabilmesi açısından, her bir sınıf için atanan değer, maden aramacılığındaki ağırlığına göre belirlenmiştir. ÖK ve TOPSIS birleştirme yöntemlerinin karşılaştırmalı analizi, saha kontrolü için dört adet Jeolojik Kontrol Noktası (JKN) seçilerek uygulanmıştır. 1, 2 ve 3 numaralı JKN’lerin saha gözlemleri, sedimanter kayaçlar ile intrüzif kayaçların dokanağındaki demir mineralizasyonunu doğrulamışken, JKN-4 lokasyonunda kontakt metamorfi zma olmasına karşın Fe mineralizasyonu bulunmamaktadır. Bununla birlikte, sözü edilen JKN’nda manyetizasyon belirgin bir şekilde yüksektir. Sarviyan bölgesindeki saha gözlemlerine göre, ÖK yaklaşımı ile karşılaştırıldığında, TOPSIS yönteminin çok daha duyarlı olduğu anlaşılmıştır. Bu nedenle, Sarviyan ve yakın alanlarındaki Kalsik Fe-Skarn Mineralizasyon Üretkenlik Haritalarında TOPSIS yönteminin uygulanması önerilmektedir