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The patient had no postoperative complications, and her pain was greatly improved. The CA125 level decreased from 434 U/mL to 45.99 U/mL, and the transvaginal ultrasound showed a reduction in posterior myometrial thickness from 5.61 cm to 2.69 cm.<br /><br /> This technique maintained the integrity of the endometrial cavity, posterior myometrial thickness, and uterine layer alignment. [https://www.selleckchem.com/products/vt107.html this website] We believe that it is a feasible technique and may be a solution for adenomyosis in patients seeking for fertility preservation.<br /><br />This technique maintained the integrity of the endometrial cavity, posterior myometrial thickness, and uterine layer alignment. We believe that it is a feasible technique and may be a solution for adenomyosis in patients seeking for fertility preservation.<br /><br /> To assess the predictive value of the initial uterine artery Doppler indices, the pulsatility index (PI), and resistance index (RI) in the prediction of heavy menstrual bleeding before and after copper intrauterine contraceptive device (IUCD) insertion.<br /><br /> The current prospective clinical study included 100 women who intended to use a copper IUCD (Cu T-380A) and met the inclusion criteria. Uterine artery Doppler PI and RI indices were calculated before IUCD insertion and at three and six months after insertion. Based on the presence or absence of menorrhagia, all women were classified into two groups non-bleeding (n=52) and extreme menstrual bleeding (n=48). Receiver operating curve analysis was used to determine the predictive value of uterine artery PI and RI in patients with menorrhagia relevant to IUCD.<br /><br /> The PI and RI indices displayed a highly significant difference between the IUCD groups at three and six months after insertion (P&lt;0.001). Uterine artery PI ≤2.02 (sensitivity of 95.8%, specificity of 100%, and area below the curve [AUC] of 0.97 at P-value&lt;0.001) and RI ≤0.83 (sensitivity of 93.8%, specificity of 100%, and AUC of 0.949 at P-value&lt;0.001) were correlated with significant menstrual bleeding following insertion of IUCD.<br /><br /> The presented results confirmed our assumption that the initial studies of uterine artery Doppler can predict heavy-menstrual bleeding associated with IUCD and therefore, should be conducted in women pursuing reversible longacting contraception.<br /><br />The presented results confirmed our assumption that the initial studies of uterine artery Doppler can predict heavy-menstrual bleeding associated with IUCD and therefore, should be conducted in women pursuing reversible longacting contraception.Intensified Mn redox cycling could enhance nutrient removal in constructed wetlands (CWs). In this study, Mn oxides (birnessite-coated sand) were used as the matrix in horizontal flow CWs (HFCWs) with a microbial electrolysis cell (MEC) (E-B-CW) or without an MEC (B-CW). The model CWs were developed to investigate the capacities and mechanisms of nitrogen removal with increased Mn redox cycling. The results showed that E-B-CW had the highest average removal efficiencies for NH4-N, NO3-N and TN, followed by B-CW and control HFCW (C-CW). The Mn(III) oxides (MnOOH or Mn2O3) and the Mn(IV) oxide (MnO2) were all detected in E-B-CW and B-CW, while the matrix in E-B-CW had much more Mn(IV) oxides than B-CW. Interestingly, clustering heat map showed that ammonification and nitrate reduction were related to Mn-oxidizing bacteria and the relative abundance of Mn-oxidizing bacteria in E-B-CW was highest due to the re-oxidation of Mn(II) by the MEC.A solar-driven advanced oxidation process at a lab scale was studied for the degradation and mineralization of the known endocrine disrupting chemical (EDC), bisphenol A (BPA). Preliminary tests were performed varying the irradiation source, BPA/H2O2 ratio, temperature, initial H2O2 concentration, initial solution pH, and initial BPA concentration, then, the operational conditions of the UV-solar/H2O2 were optimized by a response surface methodology (RSM), providing the following responses UV-solar/H2O2 process at pH 3.0, [BPA]0 = 25 mg L-1, [H2O2] = 350 mg L-1, T = 50 °C, achieving BPA degradation of 77.4% and BPA mineralization of 38.2%, H2O2 consumption of 230 mg L-1. From the optimized condition, different pH ranges were tested (3.0; 5.0; 7.0; 9.0; and 11.0), where, at solution pH 5.0 the best removal rates were achieved (89.2% BPA degradation and 49.0% BPA mineralization). The BPA amount in solution was monitored by High Performance Liquid Chromatography (HPLC) and a study of the intermediate reaction by-products was performed by Gas Chromatography-Mass Spectrometry (GC-MS) analyses, highlighting the lower amount of by-products identified when the solution pH 5.0 was employed, rather than the solution pH 3.0. Genotoxicity tests with Zebrafish (Danio rerio) and cytotoxicity tests with Allium cepa were performed aiming to evaluate errors in the cells and nuclear abnormalities of the tested organisms induced by BPA raw samples, as well as by the BPA samples treated by the UV-solar/H2O2 process. Therefore, the bio-toxicity levels for an animal and a vegetal bio-indicator were reduced by applying a renewable source of energy as the irradiation source for the UV/H2O2 process, representing an efficient and eco-friendly alternative for BPA treatment in aqueous solutions.The feasibility of in-silico techniques, together with the computational framework, has been applied to predictive bioremediation aiming to clean-up contaminants, toxicity evaluation, and possibilities for the degradation of complex recalcitrant compounds. Emerging contaminants from different industries have posed a significant hazard to the environment and public health. Given current bioremediation strategies, it is often a failure or inadequate for sustainable mitigation of hazardous pollutants. However, clear-cut vital information about biodegradation is quite incomplete from a conventional remediation techniques perspective. Lacking complete information on bio-transformed compounds leads to seeking alternative methods. Only scarce information about the transformed products and toxicity profile is available in the published literature. To fulfill this literature gap, various computational or in-silico technologies have emerged as alternating techniques, which are being recognized as in-silico approaches for bioremediation.