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  • 1
    In: Sensors, MDPI AG, Vol. 20, No. 20 ( 2020-10-15), p. 5836-
    Abstract: In this study, a portable and large-area blackbody system was developed following a series of processes including design, computational analysis, fabrication, and experimental analysis and evaluation. The blackbody system was designed to be lightweight (5 kg), and its temperature could exceed the ambient temperature by up to 15 °C under operation. A carbon-fiber-based heat source was used to achieve a uniform temperature distribution. A heat shield fabricated from an insulation material was embedded at the opposite side of the heating element to minimize heat loss. A prototype of the blackbody system was fabricated based on the design and transient coupled electro-thermal simulation results. The operation performance of this system, such as the thermal response, signal transfer function, and noise equivalent temperature difference, was evaluated by employing an infrared imaging system. In addition, emissivity was measured during operation. The results of this study show that the developed portable and large-area blackbody system can be expected to serve as a reliable reference source for the calibration of aerial infrared images for the application of aerial infrared techniques to remote sensing.
    Type of Medium: Online Resource
    ISSN: 1424-8220
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2052857-7
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  • 2
    In: KOREAN JOURNAL OF PACKAGING SCIENCE AND TECHNOLOGY, Korea Society of Packaging Science and Technology, Vol. 28, No. 3 ( 2022-12-31), p. 237-244
    Type of Medium: Online Resource
    ISSN: 1226-0207
    Language: Unknown
    Publisher: Korea Society of Packaging Science and Technology
    Publication Date: 2022
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  • 3
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2022
    In:  Scientific Reports Vol. 12, No. 1 ( 2022-12-02)
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2022-12-02)
    Abstract: Modern people who value healthy eating habits have shown increasing interest in plum ( Prunus mume ) fruits, primarily owing to their nutritiousness and proven efficacy. As consumption increases, it becomes important to monitor work to prevent Prunus mume fruits from falling out. Moreover, determining the growth status of Prunus mume is also crucial and is attracting increasing attention. In this study, convolutional neural network (CNN)-based deep learning object detection was developed using RGBD images collected from Prunus mume farms. These RGBD images consider various environments, including the depth information of objects in the outdoor field. A faster region-based convolutional neural network (R-CNN), EfficientDet, Retinanet, and Single Shot Multibox Detector (SSD) were applied for detection, and the performance of all models was estimated by comparing their respective computing speeds and average precisions (APs). The test results show that the EfficientDet model is the most accurate, and SSD MobileNet is the fastest among the four models. In addition, the algorithm was developed to acquire the growth status of P. mume fruits by applying the coordinates and score values of bounding boxes to the depth map. Compared to the diameters of the artificial Prunus mume fruits used as the experimental group, the calculated diameters were very similar to those of the artificial objects. Collectively, the results demonstrate that the CNN-based deep learning Prunus mume detection and growth estimation method can be applied to real farmlands.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2615211-3
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  • 4
    In: Journal of Food Engineering, Elsevier BV, Vol. 377 ( 2024-09), p. 112086-
    Type of Medium: Online Resource
    ISSN: 0260-8774
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2024
    detail.hit.zdb_id: 2019904-1
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  • 5
    In: Journal of Food Engineering, Elsevier BV, Vol. 338 ( 2023-02), p. 111254-
    Type of Medium: Online Resource
    ISSN: 0260-8774
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2019904-1
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  • 6
    In: BMC Infectious Diseases, Springer Science and Business Media LLC, Vol. 23, No. 1 ( 2023-03-07)
    Abstract: During the novel coronavirus disease-2019 pandemic, a considerable number of pneumothorax (PNX)/pneumomediastinum (PNM) associated with COVID-19 have been reported, and the incidence is higher in critically ill patients. Despite using a protective ventilation strategy, PNX/PNM still occurs in patients on invasive mechanical ventilation (IMV). This matched case–control study aims to identify the risk factors and clinical characteristics of PNX/PNM in COVID-19. Methods This retrospective study enrolled adult patients with COVID-19, admitted to a critical care unit from March 1, 2020, to January 31, 2022. COVID-19 patients with PNX/PNM were compared, in a 1–2 ratio, to COVID-19 patients without PNX/PNM, matched for age, gender, and worst National Institute of Allergy and Infectious Diseases ordinal scale. Conditional logistic regression analysis was performed to assess the risk factors for PNX/PNM in COVID-19. Results 427 patients with COVID-19 were admitted during the period, and 24 patients were diagnosed with PNX/PNM. Body mass index (BMI) was significantly lower in the case group (22.8 kg/m 2 and 24.7 kg/m 2 ; P  = 0.048). BMI was statistically significant risk factor for PNX/PNM in univariate conditional logistic regression analysis [odds ratio (OR), 0.85; confidence interval (CI), 0.72–0.996; P  = 0.044]. For patients on IMV support, univariate conditional logistic regression analysis showed the statistical significance of the duration from symptom onset to intubation (OR, 1.14; CI, 1.006–1.293; P  = 0.041). Conclusions Higher BMI tended to show a protective effect against PNX/PNM due to COVID-19 and delayed application of IMV might be a contributive factor for this complication.
    Type of Medium: Online Resource
    ISSN: 1471-2334
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2041550-3
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  • 7
    In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 9, No. Supplement_2 ( 2022-12-15)
    Abstract: Infective endocarditis (IE) remains a major medical problem with high morbidity and mortality. Appropriate antibiotic treatment in patients with IE lowers the risk of embolism, recurrence, and long-term mortality. However, there are concerns about renal toxicity and an increase in the incidence of resistant strains due to long-term use of antibiotics. In this study, we compare the difference in overall mortality according to the duration of postoperative antibiotics therapy in patients with IE for each group. Methods From 2005 to 2017, we retrospectively reviewed 416 patients with IE at a 2400-bed tertiary hospital in South Korea. A total of 239 IE patients who underwent valve surgery and appropriate antibiotics duration were enrolled. The primary endpoint was long-term overall mortality. The secondary endpoints were reoperation rate, recurrence rate, and postoperative complications, such as new-onset heart failure, paravalvular and embolic complications. Results The median follow-up duration was 71 (interquartile range, 46–109) months. The duration of postoperative antibiotic therapy was less than 2 weeks in 67 patients (28.0%) and more than 2 weeks in 127 patients (72.0%). The median age was 53 years. The overall mortality was 13.0% (31/239). There were no statistical differences in overall mortality (13.4% vs. 12.8%, p=0.894), reoperation (6.0% vs. 4.1%, p=0.507), and recurrence (7.5% vs. 2.9%, p=0.148) between patients with postoperative antibiotic therapy for ≥2 weeks and less than 2 weeks. The duration of postoperative antibiotic therapy based on 2 weeks in the Kaplan-Meier curve was not associated with overall mortality (log-rank test, p=0.971). Conclusion In conclusion, there was no statistically significant difference in the overall mortality, recurrence, and reoperation rate according to the duration of postoperative antibiotic therapy. When surgery and recommended total antibiotics duration are properly performed according to guidelines, the effect of duration of postoperative antibiotic therapy on overall mortality, recurrence rate, and reoperation rate is reduced to a statistically insignificant extent. Disclosures All Authors: No reported disclosures.
    Type of Medium: Online Resource
    ISSN: 2328-8957
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2757767-3
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  • 8
    In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 9, No. Supplement_2 ( 2022-12-15)
    Abstract: Roseomonas species are slow-growing Gram-negative cocobacillus, and were first reported in 1993. Roseomonas have been isolated from environmental sources and can cause bacteremia in humans, especially in immunocompromised patients. Since these species were difficult to isolate and infections with these species are not common, there are only a few studies on their characteristics. Therefore, we aim to expand our knowledge of clinical features, antimicrobial susceptibility patterns, and treatment outcomes for Roseomonas human infections. Methods From January 2006 to March 2022, patients with Roseomonas isolated from blood and other aseptic sources were extracted from three tertiary hospitals in South Korea. Underlying conditions, clinical manifestations, antimicrobial susceptibility patterns, and outcomes were reviewed through the medical records. Results During the study period, a total of 39 patients (46.2% were male) with Roseomonas infections were included. The median age was 50 (interquartile range, 33.5-62.5) years old, and seven patients (17.9%) were under age 18. Of the 39 patients, 13 patients (33.3%) had malignancies, five patients (12.8%) had neutropenia with an absolute neutrophil count of fewer than 1000 cells/mm3. Blood isolates were the most common (26 cases), followed by catheter blood (3 cases), and soft tissue (3 cases). Twenty-one cases (53.8%) were cultured after 48 hours of incubation, and co-infection with other bacteria was identified in nine cases (23.1%). Twenty-eight patients (71.8%) were symptomatic, with fever (30.8%) being the most common symptom. Amikacin showed a high susceptible rate (95.7%) to isolated Roseomonas. Tigecycline also showed high susceptible rates (92.9% , respectively). The susceptible rate of levofloxacin was 85.0%. On the other hand, the susceptible rate of piperacillin-tazobactam (5.9%) and meropenem (47.6%) were below 50%. There were two cases (5.1%) of in-hospital mortality. Conclusion Although not common, Roseomonas species can cause bacteremia and even death, especially in immunocompromised individuals. Since Roseomonas are challenging to isolate and generally show resistance to antibiotics commonly used for Gram-negative bacterial infections, careful attention is warranted in selecting antibiotics. Disclosures All Authors: No reported disclosures.
    Type of Medium: Online Resource
    ISSN: 2328-8957
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2757767-3
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  • 9
    In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 9, No. Supplement_2 ( 2022-12-15)
    Abstract: Invasive aspergillosis (IA) is a great threat to the severely immunocompromised and patients with coronavirus disease (COVID-19). However, diagnosis of IA is often difficult due to need for invasive biopsy and low sensitivity of other diagnostic tests. Next-generation sequencing (NGS) of plasma cell free DNA (cfDNA) can be a novel non-invasive diagnostic modality. We evaluated the clinical accuracy and utility of microbial cfDNA NGS for the diagnosis of IA in patients with hematologic malignancy (HM) and COVID-19. Methods A single-center prospective study of plasma microbial cfDNA NGS was conducted in a tertiary-care hospital in South Korea. We enrolled adult patients with HM and COVID-19, who suspected IA and performed conventional diagnostic tests for IA. The results of NGS were compared with the diagnosis of IA through conventional methods. IA cases were diagnosed according to EORTC/MSG definitions in patients with HM, and modified AspICU criteria in patients with COVID-19. (Figure 1). Figure 1.Flow chart for the participant selection method used in this study Results Between March 2021 and January 2022, a total of 33 participants (22 [64.7%] male, median age 66.0 [50.5, 72.0] ) were enrolled;19 participants with HM and 15 with COVID-19 were analyzed (Figure1 and Table1). In participants with HM, aspergillus cfDNA was detected in 100% of both proven (1/1) and probable (12/12) IA cases, and 33.3% of both possible (1/3) and no IA (1/3) cases. In participants with COVID-19, 46.2% of probable IA (6/13) showed positive aspergillus cfDNA. Detection rate of aspergillus cfDNA was significantly higher in proven/probable IA cases in participants with HM compared to participants with COVID-19. (100% vs 46.2%, p=0.005) (Figure 2). As shown in Table 2, among proven/probable IA cases, participants with positive aspergillus cfDNA showed significantly higher rate of having uncontrolled hematologic disease, receiving stem cell transplantation and recent chemotherapy. In three participants with HM, non-aspergillus strains confirmed by cfDNA NGS were in accordance with pathogens identified through conventional culture methods. Table 1.Baseline characteristics of participants suspected of invaisve aspergillosis performing microbial cell free DNA NGSFigure 2.cfDNA detection rate in participants with suspected fungal infection according to the EORTC/MSG or modified AspICU diagnostic criteria Conclusion Detection of aspergillus cfDNA showed high concordance in the results of conventional diagnostic methods in proven/probable IA of patients with HM and could be a helpful non-invasive approach to IA diagnosis in those populations. Disclosures All Authors: No reported disclosures.
    Type of Medium: Online Resource
    ISSN: 2328-8957
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2757767-3
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  • 10
    In: Insects, MDPI AG, Vol. 12, No. 4 ( 2021-04-12), p. 342-
    Abstract: The black pine bast scale, M. thunbergianae, is a major insect pest of black pine and causes serious environmental and economic losses in forests. Therefore, it is essential to monitor the occurrence and population of M. thunbergianae, and a monitoring method using a pheromone trap is commonly employed. Because the counting of insects performed by humans in these pheromone traps is labor intensive and time consuming, this study proposes automated deep learning counting algorithms using pheromone trap images. The pheromone traps collected in the field were photographed in the laboratory, and the images were used for training, validation, and testing of the detection models. In addition, the image cropping method was applied for the successful detection of small objects in the image, considering the small size of M. thunbergianae in trap images. The detection and counting performance were evaluated and compared for a total of 16 models under eight model conditions and two cropping conditions, and a counting accuracy of 95% or more was shown in most models. This result shows that the artificial intelligence-based pest counting method proposed in this study is suitable for constant and accurate monitoring of insect pests.
    Type of Medium: Online Resource
    ISSN: 2075-4450
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2662247-6
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