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Patients in all three groups demonstrated similar visual pain scores when submitted to office hysteroscopy (Group 1 4.18 ± 3.1, Group 2 4.68 ± 2.9, group 3 4.45 ± 2.9, P = 0.59). Moreover, patients presented high acceptance scores of the procedure, similar between groups. We performed a subgroup analysis in patients in treatment for chronic pelvic pain and, in this subgroup, prior medication with diclofenac sodium isolated or associated with hyoscine were both effective in decreasing pain levels when compared to placebo (Group 1 6.0 ± 1.9, Group 2 3.6 ± 2.1, group 3 4.2 ± 1.5, P = 0.04). CONCLUSION(S) Office hysteroscopy is a well tolerated procedure and prior use of analgesic medication was not effective in decreasing pain. In selected patients with chronic pelvic pain the use prior analgesic medication may be beneficial. INTRODUCTION Being able to predict functional outcomes after a stroke is highly desirable for clinicians. click here This allows clinicians to set reasonable goals with patients and relatives, and to reach shared after-care decisions for recovery or rehabilitation. The aim of this study was to apply various machine learning (ML) methods for 90-day stroke outcome predictions, using a nationwide disease registry. METHODS This study used the Taiwan Stroke Registry (TSR) which has prospectively collected data from stroke patients since 2006. Three known ML models (support vector machine, random forest, and artificial neural network), and a hybrid artificial neural network were implemented and evaluated by 10-time repeated hold-out with 10-fold cross-validation. RESULTS ML techniques present over 0.94 AUC in both ischemic and hemorrhagic stroke using preadmission and inpatient data. By adding follow-up data, the prediction ability improved to 0.97 AUC. We screened 206 clinical variables to identify 17 important features from the ischemic stroke dataset and 22 features from the hemorrhagic stroke dataset without losing much performance. Error analysis revealed that most prediction errors come from more severe stroke patients. CONCLUSION The study showed that ML techniques trained from large, cross-reginal registry datasets were able to predict functional outcome after stroke with high accuracy. The follow-up data is important which can further improve the predictive models' performance. With similar performances among different ML techniques, the algorithm's characteristics and performance on severe stroke patients will be the primary focus when we further develop inference models and artificial intelligence tools for potential medical. Published by Elsevier B.V.The cotton fabrics are a cosmopolitan in usage due to their extraordinary features. The clothes are a very good medium for the growth of pathogenic microorganisms. The nanoparticles have diverse benefits in the biomedical field like drug carrier and as antimicrobials. The current investigation was aimed to synthesize the metallic silver nanoparticles (AgNPs) from the aqueous extract of Curcuma longa leaf and evaluating their antimicrobial and wound healing potential of AgNPs coated cotton fabric. The synthesized AgNPs were characterized by HR-TEM and FT-IR examinations. The formulated AgNPs were coated with cotton fabrics to test their efficiency against the pathogenic microorganisms. The existence of AgNPs in the cotton fabrics was confirmed via the SEM along with EDX analysis. The antimicrobial potential of fabricated AgNPs and its coated cotton fabrics was inspected against the human pathogenic strains. The wound healing efficacy was examined in the L929 cells. The HR-TEM analysis proved the existence of spherical shaped AgNPs. In the antimicrobial activity, the CL-AgNPs loaded cotton fabric was exhibited an appreciable decrease in the growth of pathogenic microorganisms. The crude extract, as well as formulated AgNPs, also exhibited the noticeable antimicrobial potency against the S.aureus, P.aeruginosa, S.pyogenes, and C.albicans. The AgNPs loaded cotton fabrics was displayed the potent wound healing activity in the fibroblast (L929) cells. Consequently, it was concluded that the formulated AgNPs from C.longa coated cotton fabrics may be utilized for the variety of applications in hospital patients and even medical workers to prevent the microbial infection. In this paper, copper substituted zinc ferrite (ZCFO) catalyst with rich oxygen vacancies (OVs) was synthesized via a simple one pot sol-gel combustion method, and firstly used for peroxymonosulfate (PMS) activation to degrade a typical antibiotic ciprofloxacin (CIP). Only ∼15 min was required to achieve 96.6% of CIP degradation using ZCFO as the catalyst, and the pseudo-first-order reaction constant was about 95 times higher than that of conventional zinc ferrite (1.90 min-1 vs 0.02 min-1). ZCFO catalyst showed great stability and reusability based on the successive degradation cycles and could be easily recovered through magnetic separation. Besides, the effects of catalyst loading, PMS concentration, reaction temperature, initial solution pH, coexisting anions and humic acid (HA) on CIP degradation were systematically investigated. Radical quenching tests and electron paramagnetic resonance (EPR) revealed that sulfate radical (SO4-.), hydroxyl radical (OH∙), superoxide radical (O2∙-) and singlet oxygen (1O2) were involved in the ZCFO/PMS system, among which O2∙- and 1O2 were the dominant reactive oxygen species (ROS). The excellent catalytic activity of ZCFO was ascribed to the dual active sites of Fe and Cu and large amount of OVs after Cu substitution, which was beneficial to generate ROS for CIP removal. INTRODUCTION Males are born usually in excess of females and the ratio is often expressed as M/T (male divided by total births). Many acute and stressful factors have been shown to influence M/T, and these transiently lower M/T for a one month period, three to five months after such events. This study was carried out in order to ascertain whether the Las Vegas shooting (10/2017) and the Hawaii false missile alert (01/2018) influenced M/T in the respective populations. METHODS Monthly live births by gender for the states of Nevada and Hawaii for 2016-2018 were obtained from the website of the Centers for Disease Control and Prevention (CDC). RESULTS There were no significant dips in M/T for any of the relevant months (3-5 months) following these events. DISCUSSION Research to date has shown M/T dips following catastrophic or tragic events. Equivalent dips were not noted in this study. The reasons for this may be one or a combination of the following. The population size was not sufficiently large in order to detect an M/T dip.
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