Petrogenesis and Sr-Nd isotope Geochemistry of Neogene Igneous Rocks in the Goloumak Area, South of Kerman, Iran

The study area is near Goloumak village, 30 km south of Kerman. These rock units consist of acidic rhyolite and dacite, as well as intermediate andesite, basalt, and trachy-andesite. Mafic igneous rocks are alkaline, and intermediate rocks are calc-alkaline to transition range. Volcanic rocks exhibit depletion in Ba, Ti, Nb, and Ta, as well as enrichment in K, Rb, and Th. Basaltic rocks were formed by partial melting of the mantle, based on 87Sr/86Sr and 144Nd/143Nd isotopic ratios. Samples show relative enrichment of 87Sr/86Sr in the mantle array on the Sr-Nd isotope correlation diagram. Mafic rocks are affected by subduction of lithospheric slab or mantle crust metasomatism, as per the comparison of studied samples in the 143Nd/144Nd isotope correlation diagram versus 87Sr/86Sr. Based on Sr-Nd geochronological data, the rocks were formed at 12.5 ±2.0 Ma, corresponding to the Miocene for the basaltic rocks. All samples are in a continental arc margin and post-collision volcanic arc. The magma source is from low to intermediate partial melting of the mantle, as indicated by the LREE/HREE ratio of the mafic and intermediate rocks. LREE enrichment is due to low partial melting of mantle source and magma contamination by crust materials. Basalts show a low melting degree of the mantle for magma formation. Depletion of these rocks of HREE in the source shows garnet in genesis. La and Sm abundance in the studied composition is similar to magma derived from the enriched mantle, comprising about 1-5% of lherzolitic garnet

Mineralogy, mineral chemistry and thermobarometry of post-mineralization dykes of the Sungun Cu-Mo porphyry deposit (Northwest Iran)

The Sungun copper–molybdenum porphyry deposit is located in the north of Varzaghan, northwestern Iran. The Sungun quartz-monzonite is the oldest mineralized intrusive body in the region and was emplaced during the Early Miocene. Eight categories of the late and unmineralized dykes, which include quartz diorite, gabbrodiorite, diorite, dacite, microdiorite and lamprophyre (LAM), intrude the ore deposit. The main mineral phases in the dykes include plagioclase, amphibole and biotite, with minor quartz and apatite and secondary chlorite, epidote, muscovite and sericite. The composition of plagioclase in the quartz diorite dykes (DK1a, DK1b and DK1c) varies from albite-oligoclase to andesine and oligoclase to andesine; in the diorite, it varies from andesine to labradorite; in the LAM, from albite to oligoclase; and in the microdiorite (MDI), it occurs as albite. Amphibole compositions are consistent with classification as hornblende or calcic amphibole. Based on their AlIV value (less than 1.5), amphibole compositions are consistent with an active continental margin affinity. The average percentage of pistacite (P s) in epidotes formed from alteration of plagioclase and ferromagnesian minerals is 27–23% and 25–30%, respectively. Thermobarometric studies based on amphibole and biotite indicate approximate dyke crystallization temperature of 850–750℃, pressure of 231–336 MPa and high fO2 (>nickel-nickel-oxide buffer). The range of mineral compositions in the postmineralization dyke suite is consistent with a genetic relationship with the subduction of the Neotethys oceanic crust beneath the continental crust of the northwest part of the Central Iranian Structural Zone. Despite the change from calc-alkaline to alkaline magmatism, the dykes are likely related to the late stages of magmatic activity in the subduction system that also generated the porphyry deposit.publishe

Geochemistry and Petrogenesis of Shoshonitic Dyke Swarm in the Northeast of Meshkinshahr, NW Iran

The study area is located in Ardabil province in the northeast of Meshkinshahr city. More than 200 small and large Eocene-age dykes form outcrops in this area. Laser ablation–inductively coupled plasma–mass spectrometry (LA-ICP-MS) U–Pb zircon analyses yield a consistent age of 44.3 ± 1.8 Ma for the dyke swarms. These dykes include tephritic, andesitic and basaltic compositions, and show enrichment in LREEs (relative to HREEs) and are characterized by enrichment in LILEs and depletion in HFSEs. Petrological observations, along with major, rare earth and trace elements geochemistry, suggest that the dykes have a shoshonitic signature. All the rocks are highly enriched in incompatible trace elements and have variable Sr–Nd isotopes. Enrichment in incompatible elements and other geochemical features for the dyke swarm rocks suggest that a metasomatized subcontinental lithospheric mantle is the magma source. The negative Nb–Ta–Ti anomalies in the rocks are comparable with the features of subduction-related magmatism and contamination with ancient crustal components. The radiogenic 87Sr/86Sr isotopic values of the rocks imply the involvement of slab terrigenous sediments and/or a continental lithosphere. Isotopically, the volcanic rocks exhibit a binary trend, representing 1–5% mixing between the primary mantle and sediment melts. Our melting models suggest that there are residual garnet + spinel in the source, which are incompatible with the partial melting of amphibole- and/or phlogopite-bearing lherzolites. The geochronological, geochemical and isotopic data for the northeast Meshkinshahr dyke swarms suggest that these Late Eocene magmas were derived from a small degree of partial melting of a subduction-metasomatized lithospheric mantle source in a post-collisional setting

Developing and evaluating recommender systems

In recent years, web has experienced a tremendous growth concerning users and content. As a result information overload problem has always been always one of the main discussion topics. The aim has always been to find the most desired solution in order to help users when they find it increasingly difficult to locate the accurate information at the right time. Recommender systems developed to address this need by helping users to find relevant information among huge amounts of data and they have now become a ubiquitous attribute to many websites. A recommender system guides users in their decisions by predicting their preferences while they are searching, shopping or generally surfing, based on their preferences collected from past as well as the preferences of other users. Until now, recommender systems has been vastly used in almost all professional e-commerce websites, selling or offering different variety of items from movies and music to clothes and foods. This thesis will present and explore different recommender system algorithms such as User-User Collaborative and Item-Item Collaborative filtering using open source library Apache mahout. Algorithms will be developed in order to evaluate the performance of these collaborative filtering algorithms. They will be compared and their performance will be measured in detail by using evaluation metrics such as RMSE and MAE and similarity algorithms such as Pearson and Loglikelihood

Reactive arthritis induced by bacterial vaginosis: Prevention with an effective treatment

We report a 42-year-old woman with reactive arthritis induced by bacterial vaginosis who presented with oligoarthritis with an additive form, arthralgia, and enthesitis. She hasn′t had a history of diarrhea or dysuria or vaginal secretion, or sexually transmitted infections (STIs). The laboratory tests were normal except for a high erythrocyte sedimentation rate (ESR). Her pelvic examination revealed homogeneous white grey and malodorous vaginal discharge on the vaginal wall and Pap smear and Gram-stained smear of vaginal swab was consistent with bacterial vaginosis. She responded to metronidazole therapy and her six-month follow up hasn′t shown recurrence of arthritis. As reactive arthritis (ReA) is a paradigm of a rheumatic disease in which the initiating infectious cause is known, so early use of antimicrobial drugs may prevent the development of musculoskeletal symptoms which are triggered by infections

Fabrication of novel Co3O4@GO/La2O3 nanocomposites as efficient, innovative and recyclable nanocatalysts for the synthesis of quinazolinone derivatives under solvent-free conditions

For the first time, this research has developed an efficient and novel approach to high to excellent yields for synthesizing Quinazolinone derivatives. Also, the synthesis of Quinazolinone derivatives has been carried out in the presence of Co3O4@GO/La2O3 nanocomposite as a novel heterogeneous catalyst and a green under solvent-free conditions and in a short time and excellent yields for the first time. Various structural and morphological characteristics of the nanocatalyst were employed for the catalyst characterization, such as FT-IR, XRD, FE-SEM, EDX and VSM analyses. All characterization data were checked with each other so that the structure of the nanocatalyst was exactly characterized. The reactions were carried out in the presence of a low amount of nanocatalyst at 100 °C under solvent-free conditions for a short period of time. The proposed nanocomposite exhibits excellent catalytic activity. One of the most important advantages of this method is easy magnetic nanocatalyst separation, green condition, excellent recoverability and easy workup

Classification of Melanoma Images Using Empirical Wavelet Transform

Skin cancer is the most common cancer, accounting for 75% of all skin cancers worldwide. Malignant melanoma is the most invasive type of skin cancer, which is deadly. Some techniques have been investigated to diagnose skin diseases using skin tissue classification and diagnosis models and skin recognition approaches using colors based on image retrieval methods. In this regard, image processing techniques and classification methods are intelligent. The purpose of this method, diagnosing melanoma skin cancer using image processing. In the proposed method, after collecting the dataset, the boundary to separate the skin lesion from the background was specified. Then in the next step, the analysis was performed using Empirical wavelet transform (EWT). Then the color, texture, and shape features were extracted. In the next step, the feature was selected by Gray Wolf meta-heuristic algorithm using ranking models and the disease was classified into two categories, namely normal and abnormal. The database used in this study contains 594 dermatoscopic images with a resolution of 512 × 768 pixels, 476 images with normal spots, and 88 images with abnormal spots caused by melanoma. The evaluation results revealed that the proposed method had an accuracy of 97.25, indicating its significant performance compared to other methods. The contribution of the results of the proposed method can be very useful and valuable in the future for early detection of skin cancer.</jats:p

La(OH)₃ nanoparticles immobilized on Fe₃O₄@chitosan composites as novel magnetic nanocatalysts for sonochemical oxidation of benzyl alcohol to benzaldehyde

A sustainable synthesis of novel Fe3O4@CS/La(OH)3 as a nanocatalyst for oxidation of benzyl alcohols to benzaldehydes has been developed.</jats:p