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In order to improve the accuracy of geological interpretation of DC resistivity induced polarization detection results and promote the application of DC resistivity induced polarization in mineral exploration, finite element numerical simulation was used to compare and analyze the main aspects of low resistance and high polarization bodies, vertical plate bodies, low resistance cover layers, high resistance cover layers, surface non-uniform bodies, terrain fluctuations, and inversion interpretation of measured data in DC resistivity induced polarization detection. The research results show that for the inversion interpretation results of actual exploration, the geological body model built according to the anomaly characteristics and the finite element numerical simulation can quickly identify the abnormal attributes of the target body and distinguish false anomalies, improve the quantitative interpretation level and the efficiency of prospecting and exploration. The research results provide a reference for the quantitative interpretation of DC resistivity IP prospecting. [ABSTRACT FROM AUTHOR]

The Tanzania Archaean Kavirondian Group conglomerates are primarily distributed in the Nzega region of central Tanzania, with a small amount also found in the Lupa region to the southwest. This rock formation, which extends approximately 50 km in length and 0.5-3 km in width in a near EW and NW direction, is characterized by widespread gold mineralization. The main mineralization features include silicification and pyrite mineralization, followed by arsenopyrite mineralization and pyrrhotite mineralization. The study findings are as follows: Induced polarization anomalies exhibit distinct relatively low resistivity and high polarization characteristics. Soil geochemical measurements show significant Au anomalies with well-defined concentration centers and zones. Gold mineralization is strictly controlled by rock layers and is confined to the conglomerate zones. The gold mineralization is extensive, with mineralized bodies ranging from 5 m to 20 m in width. The gold grades within the mineralized bodies are relatively low, ranging from 0.2 g/t to 1.0 g/t, but local enrichment zones can reach 2 g/t to 3 g/t. [ABSTRACT FROM AUTHOR]

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At present, most of the existing data processing software for TEM only aim at the loop source devices, and can not deal with the data of the electric source devices. With the wide application of SOTEM, it is urgent to develop a set of data processing software suitable for SOT EM. By solving the key techniques of one-dimensional forward modelling for arbitrarily transmitters-receivers, joint inversion of multi-component and multi-source data, inversion of data with induced polarization effect, quasi-2D lateral constrained inversion, et c., SOTEMsoft, a special software system for SOTEM data processing was developed. The system has the functions of data arrangement, image display, data pre-processing, model building, forward modelling, data inverse, drawing input and so on. The results of numerical simulation and field data processing show that SOTEMsoft has perfect function, high precision and efficiency of data processing, and can meet the actual production requirements in field. [ABSTRACT FROM AUTHOR]

BACKGROUND: Classically activated and alternative activated macrophages have different phenotypes and functions, and there are few studies to explore the effect of different induction methods on the biological functions of bone marrow-derived macrophages. OBJECTIVE: To explore the effect of different induced polarization ways on biological behaviors of bone marrow-derived macrophages from rats. METHODS: Rat bone marrow-derived macrophages were isolated and cultured in vitro, and identified by morphological observation, Wright Giemsa staining and flow cytometry. After being induced and activated by interferon-γ, lipopolysaccharide and interleukin-4 for 24 hours, the morphology of bone marrow-derived macrophages was observed by inverted microscope. The expression levels of cell surface markers Nos2 and Arg1 were detected by real time-PCR. CCK8 assay was performed to determine the proliferation ability of bone marrow-derived macrophages. Flow cytometry was performed to detect the apoptosis, and neutral red staining was performed to identify the phagocytic function of bone marrow-derived macrophages. RESULTS AND CONCLUSION: Bone marrow-derived macrophages that stimulated by interferon-γ and lipopolysaccharide were highly expressing the cell surface marker Nos2 of M1, and apoptosis of bone marrow-derived macrophages can be slightly promoted as well as the phagocytic function of bone marrow-derived macrophages is reduced; while bone marrow-derived macrophages stimulated by interleukin-4 are highly expressing the cell surface marker Arg1 of M2. Cell proliferation and phagocytosis of bone marrow-derived macrophages are promoted, and apoptosis of bone marrow-derived macrophages is inhibited. The results confirm that the biological behavior of bone marrow-derived macrophages can be affected by different methods of induced polarization. [ABSTRACT FROM AUTHOR]

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Copyright of Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban) is the property of Tunnel Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Aiming at traditional de-noising method may fail to remove noise from induced polarization (IP) data. This paper proposed a new de-noising method based on empirical mode decomposition (EMD) and independent component analysis (ICA). Firstly，EMD can self-adaptively decompose data into finite intrinsic mode functions (IMFs). Secondly，this paper constructed virtual noise channel according to the correlation between IMF and excitation signal. Finally，it used ICA to extract the effective IP signal. Eventually，this paper applied its method to de-noising in simulation and actual IP data. And by comparing the proposed method with those of traditional filter algorithm and wavelet threshold algorithm，the results verify the effectiveness of the proposed method in de-noising of IP data. [ABSTRACT FROM AUTHOR]

Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)