A family of medicated Janus fibers that provides highly tunable biphasic drug release was fabricated using a side-by-side electrospinning process employing a Teflon-coated parallel spinneret. The coated spinneret facilitated the formation of a Janus Taylor cone and in turn high quality integrated Janus structures, which could not be reliably obtained without the Teflon coating. The fibers prepared had one side consisting of polyvinylpyrrolidone (PVP) K60 and ketoprofen, and the other of ethyl cellulose (EC) and ketoprofen. To modulate and tune drug release, PVP K10 was doped into the EC side in some cases. The fibers were linear and had flat morphologies with an indent in the center. They provide biphasic drug release, with the PVP K60 side dissolving very rapidly to deliver a loading dose of the active ingredient, and the EC side resulting in sustained release of the remaining ketoprofen. The addition of PVP K10 to the EC side was able to accelerate the second stage of release; variation in the dopant amount permitted the release rate and extent this phase to be precisely tuned. These results offer the potential to rationally design systems with highly controllable drug release profiles, which can complement natural biological rhythms and deliver maximum therapeutic effects.
Magnetic resonance imaging (MRI) is a diagnostic tool used for detecting abnormal organs and tissues, often using Gd(III) complexes as contrast-enhancing agents. In this work, coreshell polymer fibers have been prepared using coaxial electrospinning, with the intent of delivering Gd(DTPA) (gadolinium (III) diethylenetriaminepentaacetate hydrate) selectively to the colon. The fibers comprise a poly(ethylene oxide) (PEO) core loaded with Gd(DTPA), and a Eudragit S100 shell. They are homogeneous, with distinct core-shell phases. The components in the fibers are dispersed in an amorphous fashion. The proton relaxivities of Gd(DTPA) are preserved after electrospinning. To permit easy visualization of the release of 2 the active ingredient from the fibers, analogous materials were prepared loaded with the dye rhodamine B. Very little release is seen in a pH 1.0 buffer, while sustained release is seen at pH 7.4. The fibers thus have the potential to selectively deliver Gd(DTPA) to the colon.Mucoadhesion studies revealed there are strong adhesive forces between porcine colon mucosa and PEO from the core, and the dye-loaded fibers can be successfully used to image the porcine colon wall. The electrospun core-shell fibers prepared in this work can thus be developed as advanced functional materials for effective imaging of colonic abnormalities.
Recent interest in approximate computation is driven by its potential to achieve large energy savings. This paper formally demonstrates an optimal way to reduce energy via voltage over-scaling at the cost of errors due to timing starvation in addition. We identify a fundamental trade-off between error frequency and error magnitude in a timing-starved adder. We introduce a formal model to prove that for signal processing applications using a quadratic signal-to-noise ratio error measure, reducing bit-wise error frequency is sub-optimal. Instead, energy-optimal approximate addition requires limiting maximum error magnitude. Intriguingly, due to possible error patterns, this is achieved by reducing carry chains significantly below what is allowed by the timing budget for a large fraction of sum bits, using an aligned, fixed internal-carry structure for higher significance bits.We further demonstrate that remaining approximation error is reduced by realization of conditional bounding (CB) logic for lower significance bits. A key contribution is the formalization of an approximate CB logic synthesis problem that produces a rich space of Pareto-optimal adders with a range of quality-energy tradeoffs. We show how CB logic can be customized to result in overand under-estimating approximate adders, and how a dithering adder that mixes them produces zero-centered error distributions, and, in accumulation, a reduced-variance error. We demonstrate synthesized approximate adders with energy up to 60% smaller than that of a conventional timing-starved adder, where a 30% reduction is due to the superior synthesis of inexact CB logic. When used in a larger system implementing an image-processing algorithm, energy savings of 40% are possible.
Abstract:New methods for creating theranostic systems with simultaneous encapsulation of therapeutic, diagnostic and targeting agents are much sought after. This work reports for the first time the use of coaxial electrospinning to prepare such systems in the form of core-shell fibers. Eudragit S100 was used to form the shell of the fibers, while the core comprised polyethylene oxide loaded with the magnetic resonance contrast agent Gd(DTPA) (Gd(III) diethylenetriaminepentaacetate hydrate) and indomethacin as a model therapeutic agent. The fibers had linear cylindrical morphologies with clear core-shell structures, as demonstrated by electron microscopy. X-ray diffraction and differential scanning calorimetry proved that both indomethacin and Gd(DTPA) were present in the fibers in the amorphous physical form. This is thought to be a result of intermolecular interactions between the different components, the presence of which was suggested by IR spectroscopy. In vitro dissolution tests indicated that the fibers could provide targeted release of the active ingredients through a combined mechanism of erosion and diffusion. The proton relaxivities for Gd(DTPA) released from the fibers into tris buffer increased (r 1 =5.03-10.13 s -1 mM -1 ; r 2 =8.28-14.96 s -1 mM -1 ) compared with fresh Gd(DTPA) (r 1 =4.37 s -1 mM -1 and r 2 =4.85 s -1 mM -1 ), proving that electrospinning has not diminished the contrast properties of the complex. The new systems reported herein thus offer a new platform for delivering therapeutic and imaging agents simultaneously to the colon.
Recent interest in approximate circuit design is driven by its potential for large energy savings. In this paper, we address the problem of approximate logic synthesis (ALS). ALS is concerned with formally synthesizing a minimum-cost approximate Boolean network whose behavior deviates in a well-defined manner from a specified exact Boolean function, where in this work, we allow the deviation to be constrained by both the magnitude and frequency of the error.We make two contributions in solving this general ALS problem: The first contribution is to establish that the approximate synthesis problem un-constrained by the frequency of errors is isomorphic with the Boolean relations (BR) minimization problem. That equivalence allows us to exploit recently developed fast algorithms for BR problems to solve the error magnitude-only constrained ALS problem. The second contribution is an efficient heuristic algorithm for iteratively refining the magnitude-constrained solution to arrive at a solution also satisfying the error frequency constraint.Our combined greedy approximate logic synthesis (GALS) approach is able to operate on any Boolean network for which the deviation measures can be specified and is most immediately applicable to arithmetic blocks. Experiments on adder and multiplier blocks demonstrate literal count reductions of up to 60% under tight error frequency and magnitude constraints.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.