Anomalous Defects and Their Quantized Transverse Conductivities

Using a description of defects in solids in terms of three-dimensional gravity, we study the propagation of electrons in the background of disclinations and screw dislocations. We study the situations where there are bound states that are effectively localized on the defect and hence can be described in terms of an effective 1+1 dimensional field theory for the low energy excitations. In the case of screw dislocations, we find that these excitations are chiral and can be described by an effective field theory of chiral fermions. Fermions of both chirality occur even for a given direction of the magnetic field. The ``net'' chirality of the system however is not always the same for a given direction of the magnetic field, but changes from one sign of the chirality through zero to the other sign as the Fermi momentum or the magnitude of the magnetic flux is varied. On coupling to an external electromagnetic field, the latter becomes anomalous, and predicts novel conduction properties for these materials.Comment: New material added. ReVTeX , 31 pgs., 4 figs.(uses epsf

Deformable Nanovesicles Synthesized through an Adaptable Microfluidic Platform for Enhanced Localized Transdermal Drug Delivery.

Phospholipid-based deformable nanovesicles (DNVs) that have flexibility in shape offer an adaptable and facile method to encapsulate diverse classes of therapeutics and facilitate localized transdermal delivery while minimizing systemic exposure. Here we report the use of a microfluidic reactor for the synthesis of DNVs and show that alteration of input parameters such as flow speeds as well as molar and flow rate ratios increases entrapment efficiency of drugs and allows fine-tuning of DNV size, elasticity, and surface charge. To determine the ability of DNV-encapsulated drug to be delivered transdermally to a local site, we synthesized, characterized, and tested DNVs carrying the fluorescently labeled hydrophilic bisphosphonate drug AF-647 zoledronate (AF647-Zol). AF647-Zol DNVs were lyophilized, resuspended, and applied topically as a paste to the calvarial skin of mice. High-resolution fluorescent imaging and confocal microscopy revealed significant increase of encapsulated payload delivery to the target tissue-cranial bone-by DNVs as compared to nondeformable nanovesicles (NVs) or aqueous drug solutions. Interestingly, NV delivery was not superior to aqueous drug solution. Our studies show that microfluidic reactor-synthesized DNVs can be produced in good yield, with high encapsulation efficiency, reproducibility, and stability after storage, and represent a useful vehicle for localized transdermal drug delivery

Assessment of effectiveness of fetal medicine foundation calculator in predicting risk for preterm preeclampsia using first trimester mean uterine artery pulsatility index and maternal factors in Indian population

Background: Preeclampsia (PE) is a hypertensive disorder of pregnancy associated with significant maternal morbidity and mortality. The outcome of the disease depends to a large extent on risk factors, maternal vascular responsiveness, screening performance and prevention effectiveness. Fetal medicine foundation has developed an online calculator that predicts the risk for PE in pregnant woman in first trimester using MUAPI (mean uterine artery pulsatility index) and maternal factors.Methods: Diagnostic test evaluation of FMF (fetal medicine foundation) calculator done using data collected from consenting 316 women with singleton pregnancy between the gestational age 11 weeks to 14 weeks+1 day who fulfilled inclusion and exclusion criteria. All cases were followed up and results were analyzed statistically.Results: FMF calculator predicted a high-risk population of 12 pregnant women. On follow up of 316 subjects 13 pregnant women developed preterm preeclampsia with an incidence of 4.1%. Among high-risk population 9 subjects developed preterm PE and among the 304 cases in low-risk group 4 patient developed preterm PE. In this study sensitivity of FMF calculator was 69.2% and specificity was 99% with a PPV of 75, NPV of 98.6, positive likelihood ratio of 69.9 and diagnostic odds ratio of 225. The area under ROC was 0.841 with 95% CI (0.711-0.972) was high indicating that the algorithm was able to differentiate between pregnant women at high or low risk for preterm PE.Conclusions: This study concludes that the algorithm used in FMF calculator in first trimester is highly specific and have high sensitivity for predicting preterm PE and can be used in routine clinical practice to identify women at high risk

The Association between Physical Health and Delusional-Like Experiences: A General Population Study

Objective: Delusional-like experiences (DLE) are prevalent in the community. Recent community based studies have found that DLE are more common in those with depression and anxiety disorders, and in those with subclinical symptoms of depression and anxiety. Chronic physical disorders are associated with comorbid depression and anxiety; however, there is a lack of evidence about the association of DLE with common physical conditions. The aim of this study was to explore associations between the common physical disorders and DLE using a large population sample

Abusive adversaries in 5G and beyond IoT

5G and subsequent cellular network generations aim to extend ubiquitous connectivity of billions of Internet-of-Things (IoT) for their consumers. Security is a prime concern in this context as adversaries have evolved to become smart and often employ new attack strategies. Network defenses can be enhanced against attacks by employing behavior models for devices to detect misbehavior. One example is Abusive Modeling (AM) that is inspired by financial technologies to defend adversaries operating with unlimited resources who have no intention of self-profit apart from harming the system. This article investigates behavior modeling against abusive adversaries in the context of 5G and beyond security functions for IoT. Security threats and countermeasures are discussed to understand AM. A complexitysecurity trade-off enables a better understanding of the limitations of state-based behavior modeling and paves the way as a future direction for developing more robust solutions against AM.PostprintPeer reviewe