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Microcatheter retrieval was attempted by slowly pulling the microcatheter while injecting glue. However, in the present case, the glued catheter was a microcatheter that did not disturb the hemodynamics of the patient or cause any arrhythmia. In the present case, a rare outcome of glued microcatheter after BRTO was demonstrated in the form of spontaneous expulsion of the microcatheter and glue through feces. [Extracted from the article]

To probe the structure and dynamics of molecules under optical trapping conditions, we exploit the effect of femtosecond Fluorescence Resonance Energy Transfer (FRET) between dye molecules coated on the surface of polystyrene microspheres of various sizes suspended in water. The use of femtosecond laser pulses enables sensitive detection through two-photon fluorescence (TPF). Unlike conventional backscatter signal, the TPF signal shows a slow counterintuitive decay for the trapped microspheres when they are not fully within the laser illuminated volume. This decay is a characteristic sign of the occurrence of the FRET process. For microspheres with sizes less than the trapping focal volume, trapping of multiple particles can occur leading to the formation of optically bound clusters. Using different laser polarizations, we also extract information about the structure and dynamics of such optically bound clusters as a consequence of FRET. [ABSTRACT FROM AUTHOR]

Malicious websites are increasing in abundance, which brings serious web security threats to users. As a result, individuals lose their assets, values, information, etc. to unauthorized parties and become victims while visiting such websites. The research community put efforts into developing effective and efficient models for detecting malicious URLs to make available notifications about websites that users access. Perceiving this, numerous methods make use of various types of machine learning (ML) approaches. However, until now, no technique has perfectly detected malicious URLs, as they are susceptible to false positive and false negative decisions in classifying URLs in malicious and non-malicious groups. To improve this issue, this article proposes a new approach based on a machine learning technique. The proposed approach uses multiple classifiers (i.e., ensemble learning) to predict the class probabilities of URLs and then applies a threshold to filter the decisions of multiple classifiers. Next, the decisions are combined concerning its corresponding class probabilities and find the class label with the highest class probability as the final decision on unlabeled URLs. The results show that the proposed method offers better performance in terms of malicious URL detection than other methods. [ABSTRACT FROM AUTHOR]

The delivery of diltiazem hydrochloride in therapeutical doses has attracted an immense research interest. However, its slower penetration through the transdermal route has stipulated to develop a competent transdermal membrane. Therefore, a nanocomposite based patch was formulated by exploring co-polymer and jute derived nano-cellulose. Poly( N -isopropylacrylamide) was grafted into guar gum (GG- g -PNIPAAm) with different feeding ratios. The co-polymer formation was authenticated by FTIR and 13C NMR spectra. The nanocomposite were prepared by incorporating nanofibre (0.5–2 wt%) into GG- g -PNIPAAm. The structural and morphological studies supported good interactions and presence of nano-cellulose on co-polymer. GG- g -PNIPAAm has showed higher thermostability than guar gum. Moreover, the addition of CNF has improved the thermo-mechanical and barrier properties of the nanocomposite. The nanocomposite containing 1 wt% CNF was found to be best performing. The patch showed in-vitro cyto-compatibility and non-irritant behaviour. The in-vitro release study of best nanocomposite revealed controlled drug release capability with 7.78 and 22.9% after 5 and 20 h, respectively. [ABSTRACT FROM AUTHOR]