758 research outputs found

    Advanced modification of drug nanocrystals by using novel fabrication and downstream approaches for tailor-made drug delivery

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    Drug nanosuspensions/nanocrystals have been recognized as one useful and successful approach for drug delivery. Drug nanocrystals could be further decorated to possess extended functions (such as controlled release) and designed for special in vivo applications (such as drug tracking), which make best use of the advantages of drug nanocrystals. A lot of novel and advanced size reduction methods have been invented recently for special drug deliveries. In addition, some novel downstream processes have been combined with nanosuspensions, which have highly broadened its application areas (such as targeting) besides traditional routes. A large number of recent research publication regarding as nanocrystals focuses on above mentioned aspects, which have widely attracted attention. This review will focus on the recent development of nanocrystals and give an overview of regarding modification of nanocrystal by some new approaches for tailor-made drug delivery

    Canonical Solutions to Recursive Equations and Completeness of Equational Axiomatisations

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    In this paper we prove completeness of four axiomatisations for finite-state behaviours with respect to behavioural equivalences at various ?-abstract levels: branching congruence, delay congruence, ?-congruence, and weak congruence. Instead of merging guarded recursive equations, which was the approach originally used by Robin Milner and has since become the standard strategy for proving completeness results of this kind, in this work we take a new approach by solving guarded recursive equations with canonical solutions which are those with the fewest reachable states. The new strategy allows uniform treatment of the axiomatisations with respect to different behavioural equivalences

    The association between victimization experiences and suicidality:The mediating roles of sleep and depression

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    Background Prior work suggests that multiple forms of victimization were associated with higher suicide risk among adolescents. However, the mechanisms underlying this association remain unclear. The present study aimed to understand the relationships between the multiple forms of victimization and suicidality by examining the potential mediators of sleep duration and depression. Methods Data for this study came from the 2019 Youth Risk Behavior Survey (YRBS). The hypothesized mediation model included 13,677 American adolescents in 9th through 12th-grade students (48.6 % female) were analyzed using Mplus 7.4, and suicidality (including suicidal ideation, plan, and attempts) as the outcome variables and the multiple forms of victimization (including bullying at school, being threatened at school, electronic bullying, sexual victimization, sexual dating victimization, and physical dating victimization) as the main explanatory variable. Results The relationships between the multiple forms of victimization and suicide risk were mediated by sleep duration, depression, and also serially mediated by sleep duration and depression. Limitations This is a cross-sectional study, and the results cannot inform the causality between these variables. This investigation only included adolescent sleep duration, and other specific sleep problem indicators should be included. Conclusions Longer sleep duration is an important protective factor, pointing the way forward for developing suicide prevention strategies and targeted interventions for adolescents

    Effect of the location and size of thyroid nodules on the diagnostic performance of ultrasound elastography: A retrospective analysis

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    OBJECTIVES: Ultrasound-guided fine-needle aspiration biopsies are recommended for the detection of suspicious thyroid nodules. However, the best approach regarding suspicious ultrasound features for thyroid nodules is still unclear. This study aimed to evaluate the effect of location and size of thyroid nodules on the diagnostic performance of strain ultrasound elastography. In addition, this study evaluated whether ultrasound elastography predicts malignancy in thyroid nodules. METHODS: Data regarding the size, depth, and distance from the carotid artery of nodules, the elasticity contrast index, and the nature of nodules were analyzed. RESULTS: There was no significant difference in the depth (p=0.092) and the distance from the carotid artery (p=0.061) between benign and suspicious nodules. Suspicious nodules were smaller than benign nodules (po0.0001, q=23.84) and had a higher elasticity contrast index (po0.0001, q=21.05). The depth of nodules and the size of the nodule were not associated with the correct value of the elasticity contrast index (p40.05 for both). The diagnostic performance of ultrasound elastography was not affected by the distance of the nodules from the carotid artery if they were located X15 mm from the carotid artery (p=0.5960). However, if the suspicious nodules were located o15 mm from the carotid artery, the diagnostic accuracy was hampered (p=0.006). CONCLUSIONS: The strain ultrasound elastography should be carefully evaluated when small thyroid nodules are located near the carotid artery

    Link Prediction in Directed Network and Its Application in Microblog

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    Link prediction tries to infer the likelihood of the existence of a link between two nodes in a network. It has important theoretical and practical value. To date, many link prediction algorithms have been proposed. However, most of these studies assumed that links of network are undirected. In this paper, we focus on link prediction in directed networks. We provide an efficient and effective link prediction method, which consists of three steps as follows: (1) we locate the similar nodes of a target node; (2) we identify candidates that the similar nodes link to; and (3) we rank candidates using weighing schemes. We conduct experiments to evaluate the accuracy of our proposed method using real microblog data. The experimental results show that the proposed method is promising

    Host Galaxy Dispersion Measure of Fast Radio Burst

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    Fast radio bursts are a class of transient radio sources that are thought to originate from extragalactic sources since their dispersion measure greatly exceeds the highest dispersion measure that the Milky Way interstellar medium can provide. Host Galaxies of twenty-two fast radio bursts have already been identified. In this paper, the dispersion measurement of these fast radio bursts produced by the Milky Way interstellar medium, and the intergalactic medium is obtained through known physical models to yield the host galaxy dispersion measure. It is observed that the host galaxy dispersion measure increases with its redshift value. We also obtained that the host galaxy dispersion measure has different distribution between repeaters and non-repeaters. It is noted that the reason for the divergence of the host galaxy dispersion measures should be accounted for by the difference in their local environment.Comment: 11 pages, 5 figures, accepted for publication in American Research Journal of Physic

    The effects of skewness on hedging decisions: an application of the skew-normal distribution in WTI and Brent futures

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    Skewness, as a proxy for extreme risks or losses, deserves more attention from risk management work of portfolio selection and futures hedging. We evaluate the hedging performance of strategies considering the skewness for two major benchmark international crude oil markets, Brent and WTI, with sample period ranging from June 11, 2018, to May 19, 2021. This paper contributes to the literature by accounting for futures basis and the skewness of the hedged portfolio return. Specifically, we first extend the existing literature of Lien (2010), whose study investigated the effect of skewness on optimal production and hedging decisions, to the case of a futures bias existing. Then, we propose minimum-risk hedging models wherein the return of the hedged portfolio return is assumed to follow a skew-normal distribution, which is a generalization of normality assumption. From the empirical results, we find that skewness cannot be ignored, otherwise it will lead to wrong hedging decision. Furthermore, hedging strategies under skew-normal distribution are outperformed than that under the normal distribution assumption. The research results of this paper have important implications for investors and decision makers to hedge the price risk of crude oil in extreme market conditions
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