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To investigate the utilization of an angiography-CT (Angio-CT) system and its advantages for single patient encounters.Interventions utilizing both CT and fluoroscopy to perform multiple procedures in a single encounter or single interventions using both were identified. Cases were stratified by complexity (defined by RVUs). Comparative analyses of room (TBetween June 2018 and August 2019, 1108 procedures were performed via the Angio-CT system; 10% (114/1108) used both fluoroscopy and CT. 21% (24/114) Involved more than one procedure in a single encounter that required a CT-only and fluoroscopy-only bundled procedure. 59% (67/114) were non-complex, and 70% (80/114) were non-oncologic. 82.5% (14/17) of non-complex bundled procedures demonstrated TThe primary use for the hybrid Angio-CT system was to perform non-oncologic and non-complex cases with potential reduction in T

To investigate risk factors associated with post-microwave ablation (MWA) abscess development.A retrospective case-control analysis was conducted to identify hepatic MWA performed at a single tertiary medical center between January 2010 and January 2022. Case and control patients were defined as those who did or did not develop intrahepatic abscess within 3 months following MWA, respectively. Correlations between risk factors and post-MWA abscess development were assessed by Fisher's exact test.Between 2010 and 2022, 253 patients underwent 376 MWA sessions with post-ablation abscess complication rate of 1.1% (4/376). Complications associated with intrahepatic abscess included bacteremia, empyema, pleural abscess, subcutaneous abscess, cholangitis, bile leak, biliocutaneous and arterio-biliary fistulae, and pseudoaneurysm. One patient expired from septic shock 5 days post-ablation. All abscesses were treated by percutaneous drainage and antibiotics. One patient required concomitant placement of a biliary stent and embolization of a biliocutaneous tract. History of Sphincter of Oddi manipulation (p 0.01), cholangiocarcinoma (p 0.05), transarterial radioembolization (TARE) to the index lesion (p 0.05), and abnormal serum alkaline phosphatase levels (p 0.05) were significantly correlated with post-MWA abscess. The risk of developing post-MWA abscesses for patients with a history of cholangiocarcinoma or a history of Sphincter of Oddi manipulation were 20.0% and 27.2%, respectively.Patients with prior Sphincter of Oddi manipulation, cholangiocarcinoma, or TARE are at greater risk of developing post-MWA abscess.

Now a day’s intelligent diagnoses approaches are massively accepted for the purpose of advance analysis and detection of several diseases. In this work a supervised learning based approach using artificial neural network (ANN) has been proposed to achieve more accurate diagnoses outcomes for the case of diabetic retinopathy. Features extracted from the retina images are used as input to the ANN based classifier. Customized ANN architecture by estimating several entities of traditional ANN has been used to improve the accuracy of the method. The ANN architecture used in this work is feed forward back propagation neural network. Accuracy obtained for the proposed method is found to be 97.13%. The results suggest that proposed method can be used to detect diabetic retinopathy effectively.

The corrosion inhibition characteristics of rutin a natural flavonoid glycoside has been studied as an eco-friendly green inhibitor for corrosion control of aluminum alloy AA6063 in 0.5 M HCl medium at a temperature range of 30–60 °C by weight loss method, electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization (PDP) techniques. The inhibition efficiency increased with the increase in concentration of the inhibitor and also with increase in temperature. The surface morphologies of the polished, corroded and inhibited surfaces were scanned using the scanning electron microscope images. The activation parameters like energy of activation, enthalpy of activation and entropy of activation were calculated and analyzed. Thermodynamic parameters for the adsorption of the inhibitor on the metal alloy surface were calculated and analyzed. The inhibitor acted as a mixed inhibitor. The mechanism of adsorption deduced from the variation of inhibition efficiency with temperature as well as kinetic and activation parameters suggests significant chemisorption of the inhibitor on the metal surface. The mechanism of inhibition can partly be attributed to the possible coordination of rutin to form stable aluminum–rutin complex. The maximum inhibition efficiency was found to be 95.1 and 94.45% by PDP and EIS studies, respectively, at 60 °C. Density functional theory calculations under the level B3LYP/6-311G(d) is utilized for the calculation of quantum chemical parameters.

In this work an artificial neural network (ANN) based approach is proposed for prediction of alcohol user. Two ANN modules are designed, ANN-D to predict a person is an alcohol user or not and ANN-C to predict when it is used. The features used are age, gender, country, ethnicity, education, neuroticism, openness to experience, extraversion, agreeableness, conscientiousness, impulsive, sensation seeing, etc. Input features are given to the ANN-D module to predict alcohol user. ANN-C module predicts the use of alcohol in terms of time such as day, week, month, year, decade, over decades, etc. The accuracy of the ANN-D module is found to be 98.7% and ANN-C module is 49.1%. Hence the proposed method can be used efficiently for predicting alcohol user.