h. moeinzadeh

Shesat Pich region hosts an ophiolitic complex located in the south of Kerman, southeast of Iran. This ophiolitic complex is composed of lherzolite, harzburgite and dunite. Olivine is one of the important minerals found in these rocks, which is observed along with pyroxene (orthopyroxene and clinopyroxene) and spinel in the rocks of the region. The combined range of olivines in the region is in the forsterite range of 84 to 92% and ranges from forsterite to chrysolite. NiO with an average amount of about 0.38% by weight and MnO with an average of 0.14% by weight in olivines show the range related to abyssal peridotites. In addition to serpentinization as a general change in the ultramifics of the region, petrographic studies show evidence of metamorphism in the olivines of some harzburgites along with recrystallized antigorite crystals, which indicate a phase of thermal metamorphism in this harzburgite. These results have been confirmed in mineral chemistry studies too. Metamorphic olivines have an abnormality compared to magmatic olivines with a decrease in calcium. In chemical mineralogical studies, the amounts of forsterite and olivines show a regular increase from lherzolite to harzburgite and dunite. Raman spectroscopy studies on the studied olivines show the relationship between the peak shift of 854 waves/cm and forsterite values of olivine minerals in the region.

 The COVID-19 pandemic is a phenomenon that has infected and killed many people worldwide. Underlying diseases such as diabetes mellitus, heart failure, and chronic kidney disease (CKD) can affect the severity of COVID-19 and aggravate patients' condition. This study aimed to predict the severity of the COVID-19 disease in CKD patients by combining feature selection and classification methods.

 This study was conducted between March 2021 and September 2021 in Isfahan University of Medical Sciences. The data set includes 83 traits of 72 kidney transplant patients, 231 kidney failure patients, and 105 dialysis patients. The data set has 77 input attributes, including age, sex, diabetes mellitus, hypertension, ischemic heart disease, chronic lung disease, and kidney transplant.
In the proposed method, the combination of ant colony algorithm and the CHAID method has been used.

 The combination of the ant colony algorithm and CHAID method leads to better performance than CHAID alone. A total of 22 rules were extracted, of which 6 rules with a confidence of more than 60% were introduced as selected rules. The most reliable rule states that if a person has CKD stage 5, is not undergoing dialysis (5ND), and is short of breath, in 81% of cases the type of COVID-19 disease will be severe.

 In this study the severity of COVID-19 disease in kidney patients was measured using variables including age, diabetes mellitus, blood pressure, CKD stage, etc. The results showed that high levels of kidney disease can lead to severe COVID-19.

The Anjir Khajeh area is located in the southern part of Sanandaj-Sirjan metamorphic belt in northwest of Golgohar iron mine. The rock units of the region include metabasites, metasediments, igneous and sedimentary rocks. Metasedimentary rocks containing mica-schist, garnet schist, and garnet staurolite schist, having metamorphosed into greenschist facies and amphibolite facies. Garnet mineral is the most abundant porphyroblasts in metasedimentary rocks which is present in the form of  amorphous to semi-amorphous with the large to medium sizes. Electron Microprobe results show the solid dissolution evidences of garnets with the highest frequency in almandine type. Based on petro-fabric analysis, three generations of garnets are identified that have different chemical and Raman spectral characteristics too. These three generations include Almandine rich, Grossular rich and Pyrope rich  garnets that have been analyzed and classified based on petrography, mineral chemistry and Raman spectroscopy. Almandine rich type with higher Iron content and lowest peak wavenumber under 320 cm-1, Grossular rich type with relatively lower Fe and higher Ca content and highest peak wavenumber between moderate frequencies of 400 to 650 cm-1 and Pyrope rich type with higher Mg and lower Fe content and highest peak wavenumber more than 800 cm-1 can be seen. The petrogenetic investigations of the Anjir Khajeh garnetschists classifies their protholites as shale and sandstone that geodynamicaly formed in a continental island arc setting.

The Abgarm ultramafic complex in south of Kerman Province and also southeast of  Sanandaj – Sirjan zone is a part of Esfandagheh- HajiAbad ophiolitic belt. Most ultramafic rocks are harzburgite, dunite, and lherzolite. Dunites form the largest volume of ultramafic sequence in the study area after harzburgite and they are scattered into the mass form of harzburgites. Due to the present of several faults, it is difficult to detect the initial relationship between the dunites and the harzburgites in the region, and they are sometimes severely serpentinized. Olivine is the most abundant mineral in the dunites of the Abgarm ultramafic complex. The amount of forsterite in these minerals varies from 72.91 to 84.90 and the high amounts of forsterite in the olivines in the dunites, as well as the composition of the chromium spinels in these rocks show that peridotites belong to the mantle and have ophiolitic and depleted nature and probably are formed inn the back-arc basin environment by the reaction of the basaltic melts of the back-arc basin with peridotites. Then they were replaced tectonically as a part of the ophiolite mélange in the crust.

Millions of deaths occur around the world each year due to lack of access to appropriate treatment for chronic kidney disease patients. Given the importance and mortality rate of this disease, early and low-cost prediction is very important. The researchers intend to identify chronic kidney disease through the optimal combination of techniques used in different stages of data mining.

This cross-sectional research was conducted from February 1999 to May 2014. The used data set included 4145 samples and 32 attributes, where Each sample corresponded to a patient and each attribute corresponded to the demographic and clinical traits. There were several eligibility criteria for the patients for clinical testing. These criteria for the clinical testing included having 18 years of age and older, living in Isfahan city, willing to participate in the study, lack of fever and cold during laboratory tests, no strenuous exercise 48 hours before laboratory tests, and fasting. Individuals who had an incomplete questionnaire or were unwilling to perform accurate tests were excluded from the study. The target variable is kidney disease, the values of which include sick and healthy. Four data mining techniques have been used in the dataset. These techniques are support vector machine (SVM), random forest (RF), artificial neural network (ANN) and Chi-square automatic interaction detection (CHAID).

Accuracy is the evaluation criteria for comparing available data mining methods. Based on the accuracy criterion, the support vector machine performed better than other techniques (random forest, neural network and CHAID). The best rule is that if the patients consume salt in their diet, their age is between 50 and 69, and they have diabetes. they are 82% more likely to develop chronic kidney disease.

The derived rules also showed that if we use salt and we have diabetes, we are at the risk of developing chronic kidney disease. Moreover, having diabetes can increase the risk of mortality in chronic kidney patients. Aged people should also be more careful about getting chronic kidney disease. Because, they are more prone to develop chronic kidney disease.

In this paper, we investigated two originated metamorphosed harzburgites of the metaperidotite complex from the northern part of the Gishaki area. Harzburgite rocks, as main ultramafic complexes of the studied area, were exposed in the scattered location of the area. Despite intensive alterations, harzburgitic units were discriminated using petrography and Raman spectroscopy studies of relict minerals. There are two meta-harzburgite types of regionally metamorphosed harzburgites (R-Hz) and thermal metamorphosed harzburgites (T-Hz) with different characteristics and antigorite types. Antigorite polymorphs, structurally discriminated using Raman spectroscopy, had certain specific chemical characteristics compared with other serpentine polymorphs in SiO2, MgO, and H2O contents presented as separated fields in scatter diagrams. Reviewed antigorites illustrated general differentiations in themselves, so that polymorphs hosted by T-Hz rocks could be considered as a group with typical thermal antigorite geochemical criteria such as lower H2O (< 12% due to dehydration process), high NiO (> 0.4 wt. % due to Ni tendency to high temperature phases through the recrystallization process), high SiO2 (because of the  high silica activity in the aureole), lower total octahedral cations (due to pressure reverse dependence), and higher FeO (due to high temperature and Fe2+ activity). The increase in Si and Fe2+ activities cause to lack of Tetrahedral and presence Octahedral Tschermak substitutions as temperature dependent phenomena in thermal antigorites. Diagrams of SiO2 versus calculated H2O, SiO2 versus total octahedral cation units, and FeO versus NiO clearly distinguished thermal antigorites from former usual antigorite polymorphs. Thermal antigorite in the Gishaki serpentinites could be considered as metamorphosed products related to metamorphic aureoles.