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Sodium alginates are widely used for their gelling, thickening, and stabilizing properties. Raft-producing formulations have been used widely for many years to treat the symptoms of anti-reflux disease and those suffering occasional symptoms. The aim of this study was to determine the feasibility of characterizing rafts formed from alginate-containing anti-reflux formulations in vivo using either a supine high-field 3T scanner or an upright low-field 0.5T MRI scanner. Six healthy participants (one male, five female, age range 23-50 years) attended three study visits following an overnight fast and were scanned at one field strength (N = 3 at 0.5T, N = 3 at 3T) before and after ingestion of an acidic drink followed by one of three different alginate antireflux formulations. These formulations had identical quantities (by mass) of sodium alginate, calcium carbonate, and sodium bicarbonate. Raft position and volume were measured along with gastric contents and gas using T2-weighted MRI. Additionally, the image textures of the raft and T2 properties were investigated at 3T. In vitro properties (raft strength, mass, and NMR chemical analysis) of the three different formulations were also determined. Alginate rafts were generated in all volunteers for all formulations. Gastric emptying of the acidic drink was consistent across all study days. Raft volumes measured showed some differences between body positions, with upright maintaining a higher volume of raft for longer. In vitro analysis showed significant differences in strength and mass between two of the formulations, which were likely caused by differences in the chemical structure of the alginates used in the formulations. In conclusion, characterization of anti-reflux alginate raft properties can be achieved using both low-field upright and high-field supine MRI. Larger scale studies are needed to determine the differences between formulations in vivo.
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http://dx.doi.org/10.1002/nbm.70090 | DOI Listing |
Nutr Rev
September 2025
Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
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September 2025
Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
This research explores the dynamical properties and solutions of actin filaments, which serve as electrical conduits for ion transport along their lengths. Utilizing the Lie symmetry approach, we identify symmetry reductions that simplify the governing equation by lowering its dimensionality. This process leads to the formulation of a second-order differential equation, which, upon applying a Galilean transformation, is further converted into a system of first-order differential equations.
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September 2025
School of Emergency Technology, Guangzhou Vocational College of Technology and Business, Guangzhou, China.
Under China's national sustainability strategy, the logistics industry is confronted with the imperative of high-quality green development. Given its status as the leading economic province and a national logistics hub, investigating green logistics development in Guangdong province holds paramount strategic importance. To comprehensively evaluate green logistics development efficiency of 21 cities in Guangdong from 2016 to 2022, this study employed the super-efficiency slacks-based measure model (Super-SBM) with undesirable outputs, the Global Malmquist-Luenberger (GML) productivity index and a four-quadrant analysis based on static and dynamic efficiency.
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September 2025
Emergency Department, Peking University Third Hospital, Beijing, China.
Introduction: Triage is an essential strategy to mitigate crowding and guarantee patients' safety in emergency departments. To improve the quality of triage in emergency departments, Nurses should be equipped with the necessary competencies. Therefore, this review aims to synthesize available evidence on the competency elements required for triage nurses in emergency departments and to identify factors that influence their competency development.
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September 2025
School of Economics and Business Administration, Chongqing University, Chongqing, China.
This study investigates the impact of data assets on enterprise persistent innovation using panel data from Chinese A-share listed firms from 2011 to 2022. The results indicate that data assets significantly enhance both the inputs and outputs of enterprise persistent innovation, with the findings remaining robust under endogeneity tests. Mediation analysis reveals that data assets influence enterprise persistent innovation through three key channels: process innovation, business innovation, and technological innovation.
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