Delayed Dissolution and Small Molecule Release from Atomic Layer Deposition Coated Electrospun Nanofibers

Electrospun poly (vinyl alcohol) nanofibers are coated with aluminum oxide using atomic layer deposition (ALD) to control the dissolution rate of the nanofiber mats in high‐humidity and aqueous environments. In this regard, ALD offers an effective method to provide a robust, conformal coating to the entire nanofiber surface without modifying the core material. The thickness of the coating, controlled by varying the number of ALD cycles from 2 to 200, enables tuning of the nanofiber stability in water from a few seconds for an uncoated sample to over 5 weeks for a 200 cycle coated sample. Changing the rate of nanofiber dissolution modulates the release of embedded small molecules within the polymer matrix from minutes to weeks while minimizing the “burst” effect typically associated with nanoscale systems. This simple nanofiber coating technique shows great potential as a method to tune shelf‐life, mat degradation, and small molecule release from highly water‐soluble polymers, hitherto unexplored, in a wide range of fields, including biomedical, agricultural, and packaging.     

Smart Home Activities: A Literature Review

Abstract

The increasing interest in smart home technologies has created a need for a comprehensive literature survey. This article reviews the goals of a smart home energy management system, along with related definitions, applications, and information about the manufacturing of its components. The challenges associated with smart home energy management systems and possible solutions are examined, and the energy factors that contribute to a customer's electricity bill are discussed. A number of price schemes and the load models needed for solving related scheduling optimization problems are also presented, including a review of the literature related to energy management system scheduling with respect to its control, automation, and communication.     

Incorporation of Lactobacillus acidophilus in Minas fresh cheese and its implications for textural and sensorial properties during storage

The effect of Lactobacillus acidophilus on instrumental texture profile and related properties of Minas fresh cheese during storage at 5 °C and on sensory performance was investigated. Four cheese-making trials were prepared, two supplemented with a mesophilic type O culture (T1, T2) and two with lactic acid (T3, T4). L. acidophilus was added in T2 and T3. The viability of L. acidophilus, instrumental texture profile analysis and related properties were monitored during storage for up to 21 days. Probiotic cheeses T3 were firmer by the end of storage, due to higher values of pH and hardness. Differences detected were attributed to the starter, rather than to L. acidophilus. Viability of L. acidophilus during storage ranged from 6.04 to 6.93 for T2 and from 5.46 to 6.53 log cfu g⁻¹ for T3, which performed better in sensory evaluation. Minas fresh cheese is a suitable food system for the delivery of L. acidophilus.     

Integrating anti-swing controller with px4 autopilot for quadrotor with suspended load

Multi-rotor flying vehicles (MRFVs) are increasingly becoming the preferred means of transportation in various civilian and military applications, such as mine detection, reconnaissance missions, agriculture, and load transfer to areas inaccessible to ground vehicles. In these applications, the payload is suspended underneath the vehicle and subjected to large oscillations because of external disturbances or the vehicle’s acceleration. This study proposes an anti-swing controller (ASC) based on time-delayed feedback of the load swing angles to be implemented in MRFVs with suspended load and operated by a PX4 autopilot. The PX4 autopilot is now widely used in commercial drones. The implementation of the proposed ASC does not require any modifications to the original PX4 firmware because it adds additional displacements to the original trajectories of MRFVs. The effectiveness of the ASC is evaluated by simulating a quadrotor as an example of MRFVs with different flight conditions.

     

Automated Security Assessment for IDaaS Framework

Wireless Personal Communications - Nowadays, we are moving quickly to a new Identity concept due to the cloud computing paradigm called Identity as a Service (IDaaS). However, the one Identity...     

An Optimal User Selection Scheme for Cooperative NOMA Networks with SWIPT

Wireless Personal Communications - In this paper, we propose an optimal user selection scheme for cooperative non-orthogonal multiple access (NOMA) networks with simultaneous wireless information...     

Characterization of 3D microstructure,thermal conductivity,and heat flow of cement-based foam using imaging technique

This study presents the results of the 3D microstructure, thermal conductivity, and heat flow in cement-based foams and examines their changes with a range of densities. Images were captured using X-ray micro computed tomography (micro-CT) imaging technique on cement-based foam samples prepared with densities of 400, 600, and 800 kg/m³. These images were later simulated and quantified using 3D data visualization and analysis software. Based on the analysis, the pore volume of 11000 µm³ was determined across the three densities, leading to optimal results. However, distinct pore diameters of 15 µm for 800 kg/m³, and 20 µm for 600 and 400 kg/m³ were found to be optimum. Most of the pores were spherical, with only 10% appearing elongated or fractured. In addition, a difference of 15% was observed between the 2D and 3D porosity results. Moreover, a difference of 5% was noticed between the experimentally measured thermal conductivity and the numerically predicted value and this variation was constant across the three cast densities. The 3D model showed that heat flows through the cement paste solids and with an increase in porosity this flow reduces.     

An enhanced opinion retrieval approach via implicit feature identification

Journal of Intelligent Information Systems - Recently, there has been an enormous increase in the number of reviews of popular products. Therefore, opinion analysis has become a tedious task for...     

Recent developments in computational color image denoising with PDEs to deep learning: a review

Artificial Intelligence Review - Image denoising methods are of fundamental importance in image processing and artificial intelligence systems. In this review, we analyze the traditional and state...