Special Traffic Event Detection: Framework, Dataset Generation, and Deep Neural Network Perspectives.

Identifying early special traffic events is crucial for efficient traffic control management. If there are a sufficient number of vehicles equipped with automatic event detection and report gadgets, this enables a more rapid response to special events, including road debris, unexpected pedestrians, accidents, and malfunctioning vehicles. To address the needs of such a system and service, we propose a framework for an in-vehicle module-based special traffic event and emergency detection and safe driving monitoring service, which utilizes the modified ResNet classification algorithm to improve the efficiency of traffic management on highways. Due to the fact that this type of classification problem has scarcely been proposed, we have adapted various classification algorithms and corresponding datasets specifically designed for detecting special traffic events. By utilizing datasets containing data on road debris and malfunctioning or crashed vehicles obtained from Korean highways, we demonstrate the feasibility of our algorithms. Our main contributions encompass a thorough adaptation of various deep-learning algorithms and class definitions aimed at detecting actual emergencies on highways. We have also developed a dataset and detection algorithm specifically tailored for this task. Furthermore, our final end-to-end algorithm showcases a notable 9.2% improvement in performance compared to the object accident detection-based algorithm.

Biosensors in microfluidic chips.

A biosensor is a sensing device that incorporates a biological sensing element and a transducer to produce electrochemical, optical, mass, or other signals in proportion to quantitative information about the analytes in the given samples. The microfluidic chip is an attractive miniaturized platform with valuable advantages, e.g., low cost analysis requiring low reagent consumption, reduced sample volume, and shortened processing time. Combination of biosensors and microfluidic chips enhances analytical capability so as to widen the scope of possible applications. This review provides an overview of recent research activities in the field of biosensors integrated on microfluidic chips, focusing on the working principles, characteristics, and applicability of the biosensors. Theoretical background and applications in chemical, biological, and clinical analysis are summarized and discussed.

Fabrication and evaluation of celecoxib microparticle surface modified by hydrophilic cellulose and surfactant.

This study was undertaken to improve the solubility and dissolution of a poorly water-soluble drug, celecoxib, by surface modification with a hydrophilic polymer and a surfactant by using a spray-drying technique. Based on the preliminary solubility tests, hydroxypropylmethyl cellulose (HPMC) and D-α-tocopheryl polyethylene glycol 1000 succinate (TPGS) were selected as the polymer and the surfactant, respectively. A novel surface-modified celecoxib microparticle was successfully fabricated using a spray-drying process with water, HPMC, and TPGS, and without the use of an organic solvent. The physicochemical properties of the surface-modified celecoxib microparticle were characterized using scanning electron microscopy (SEM), powder X-ray diffraction (PXRD), a particle size analyzer, and contact angle determination. The formulation with drug/HPMC/TPGS at the weight ratio of 1:0.5:1.5 was determined to be the most effective composition in the preparation of the surface-modified celecoxib microparticle, based on the results of wettability, solubility, and dissolution studies. We found that the surface modification of microparticles with HPMC and TPGS can be an effective formulation strategy for new dosage forms of poorly water-soluble active pharmaceutical ingredients (APIs) to provide higher solubility and dissolution.

Nanoporous platinum solid-state reference electrode with layer-by-layer polyelectrolyte junction for pH sensing chip.

A novel solid-state reference electrode was developed by combining nanoporous Pt with polyelectrolyte junction. The polyelectrolyte junction was formed in the microchannel connecting the nanoporous Pt and the sample solution, and had layer-by-layer structure of oppositely charged polyelectrolytes. The layer-by-layer polyelectrolyte junction effectively blocked the mass transport of ions and maintains constant pH environments on the surface of the nanoporous Pt. The assembly of the polyelectrolyte junction and the nanoporous Pt, which produced reportedly a stable open-circuit potential in response to constant pH, exhibited outstanding performance as a solid-state reference electrode (e.g., excellent reproducibility of ±4 mV (n = 5), good long term stability of ±1 mV (for 50 h), and independence of solution environments like pH and ionic strength). A working principle of the solid-state reference electrode with layer-by-layer polyelectrolyte junction was suggested in terms of the roles of each layer and the effect of the neighboring layer. As a demonstrative application of the solid-state reference electrode, a miniaturized chip-type solid-state pH sensor comprised of two nanoporous Pt electrodes and a micro-patterned layer-by-layer polyelectrolyte junction was developed. The solid-state pH sensing chip showed reliable pH responses without liquid junction and successfully worked in a variety of buffers, beverages, and biological samples, showing its potential utility for practical applications. In addition, the solid-state pH sensing chip was integrated in a microfluidic system to be utilized for pH monitoring in microfluidic flow.