Gyeonggi Research Institute

Seafood is usually stored in a refrigerated or frozen form; however, conventional cold packs (CCPs) provide limited cooling and may damage products. This study evaluated the growth of Listeria monocytogenes on vacuum-packed frozen mackerel (Scomber japonicus) fillets stored in conventional container boxes (CCBs) with CCPs and in newly developed container boxes (NDCBs) with newly developed cold packs (NDCPs). Fillets were spot inoculated (2.0–2.5 log CFU/g) and stored for 72 h. In CCBs with CCPs, counts increased from 2.79–3.95 log CFU/g at 2–24 h, reaching 4.94–7.95 log CFU/g at 36–72 h. In NDCBs with NDCPs, counts rose to 2.64 log CFU/g at 24 h (1.02 log CFU/g increase), followed by 1.41–3.74 log CFU/g increase at 36–72 h. The difference between systems was ~1 log CFU/g at 48 h, increasing to 1.48 log CFU/g at 72 h. Growth data (24–72 h) were fitted to a first-order kinetic model, yielding D-values of 36.47 min (y = 0.0802x + 0.3127) for CCBs with CCPs and 41.70 min (y = 0.0565x + 0.1400) for NDCBs with NDCPs. These results evidenced that NDCBs with NDCPs reduced growth of L. monocytogenes by improving temperature control, demonstrating potential for safer seafood transport.

Monoclonal antibodies approved for Alzheimer’s disease (AD), such as lecanemab and aducanumab, have been shown to enhance microglial phagocytic function, underscoring the therapeutic relevance of microglia in neurodegenerative diseases (NDDs). Emerging evidence implicates lipid droplets (LDs) in brain aging and NDDs, particularly through LDs-laden microglia known as lipid droplet-accumulating microglia (LDAM), which exhibit impaired phagocytosis, elevated oxidative stress, and dysregulated lipid metabolism. Among microglial subtypes identified through transcriptomic and functional profiling—including disease-associated microglia (DAM), microglia in neurodegenerative disease (MGnD), white matter-associated microglia (WAM), and dark microglia—LDs-laden microglia have clear metabolic signatures defined by excessive LDs accumulation and disrupted lipid turnover. Here, we discuss the biogenesis of LDs, their pathological accumulation in microglia, and the therapeutic potential of targeting LDs. We further propose a hypothetical mechanism by which LDs clearance restore energy metabolism, nuclear transport, facilitate DNA repair, suppress inflammation, and phagocytosis in microglia. Thus, elucidating LDs dynamics in microglia may provide novel therapeutic avenues for modifying the course of NDDs.

Objectives: To evaluate the effects of respiratory exercises and stabilization techniques on patients with coronavirus disease 2019 (COVID-19). Methods: This is a quasi-experimental study and a single community-based hospital. Thirty-nine patients with COVID-19 completed the study, of which 20 underwent respiratory exercises and stabilization techniques, while the rest (19 patients) did not. Respiratory exercises and stabilization techniques comprised diaphragmatic breathing, pursed-lip breathing, square box breathing, huff coughing, and progressive muscle relaxation. Outcomes were assessed using the Modified Borg Scale (MBS), the Breathlessness, Cough, and Sputum Scale (BCSS), and the Hospital Anxiety and Depression Scale (HADS) for mental health. Questionnaires were administered at admission, discharge, and 6 months after discharge. Results: Patients who received respiratory exercises and stabilization techniques showed significant improvements in MBS (p = 0.0001) and BCSS scores (p = 0.002) at discharge. However, there were no significant long-term effects on these physical symptoms. Significant interaction in HADS scores were also observed. Conclusions: Although there were no significant long-term effects, respiratory exercises and stabilization techniques resulted in short-term improvements in the physical and mental health of patients with COVID-19.

This study explores the application of K-means clustering to optimize the selection of sampling locations for suspended silt loading (sL) on asphalt pavements, addressing the limitations of traditional random sampling methods in the EPA method. The objective was to identify reliable sampling points for road dust concentration measurement, with a focus on improving the accuracy of data collection using the vacuum sweep method. The elbow method was used to determine the optimal number of clusters, revealing that three clusters were ideal for 25 m intervals and five for 100 m intervals. The clustering analysis identified specific sampling locations within the 25 m and 100 m road sections, such as 1.5–4.5 m and 12–18 m, and 15–18 m, 39–42 m, 57 m, 69 m, and 87 m, respectively, which adequately captured sL characteristics. The silhouette score of 0.6247 confirmed the effectiveness of the clustering method in distinguishing distinct groups with similar sL characteristics. The comparison of clustered versus non-clustered sections across 15 pavement segments showed an error rate of approximately 6%. Properly selecting sampling points ensures more accurate dust concentration data, which is crucial for effective road maintenance and environmental management. The findings highlight that optimizing the sampling process can significantly enhance the precision of dust monitoring, especially in areas with varying sL characteristics.