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  1. AU="Min Soo Kim"
  2. AU="Piotr Dylewicz"
  3. AU="Mankel, A"
  4. AU="Lia, Andrea"
  5. AU=Wang Yong
  6. AU="Mckay, Victoria"
  7. AU="Yanqun Liu"
  8. AU="Doyon, Yannick"
  9. AU=Ho-Yen Colan M
  10. AU="Tarnawski, Miroslaw"
  11. AU="Mark Pickering"
  12. AU=Felson Marcus
  13. AU="Antje Garten"
  14. AU="Pijpers, Judith"
  15. AU=Ciacchini Benedetta AU=Ciacchini Benedetta

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  1. Artikel ; Online: Identifying the Group Vulnerable to Unmet Medical Needs Due to Food Security

    Min-Soo Kim / Hyeon-Ji Lee / Jae-Hyun Kim

    Healthcare, Vol 11, Iss 423, p

    According to Children in the Household

    2023  Band 423

    Abstract: Objective: Adults may experience unmet medical needs for various reasons. The purpose of this study was to examine the effect of food security on unmet medical needs according to the presence of children in the household of adults, as well as to identify ...

    Abstract Objective: Adults may experience unmet medical needs for various reasons. The purpose of this study was to examine the effect of food security on unmet medical needs according to the presence of children in the household of adults, as well as to identify the medically vulnerable group considering individual and household characteristics. Methods: This study was conducted using data from the National Health and Nutrition Examination Survey for 2013–2015 and 2019–2020. The subjects of the study were 23,069 adults 19 years of age or older, and were divided into two groups according to whether or not children were included in the household. In order to observe the association between food security and unmet medical needs, multiple logistic regression analysis was performed. In addition, a subgroup analysis was performed in consideration of individual and household characteristics. Results: When food security was unstable for households with children, or without children, there was a high correlation with unmet medical needs. Considering individual and household characteristics, in groups with lower age and household income level, or higher number of members in household and subjective health status, food security was strongly correlated with unmet medical needs in households with children. Contrarily, households without children showed a high correlation in the opposite characteristics of households with children, excluding household income level. Conclusion: Food security was highly correlation with unmet medical needs regardless of whether or not children were included in the household. However, according to the individual and household characteristics of households with and without children, the relationship between food security and unmet medical needs was found to be different. Therefore, it is necessary to prepare a health policy that can increase access to medical services in consideration of food security and individual and household characteristics depending on whether or not children are included in the ...
    Schlagwörter food security ; unmet medical needs ; KNHANES ; single parent households ; elderly single-person households ; Medicine ; R
    Thema/Rubrik (Code) 338
    Sprache Englisch
    Erscheinungsdatum 2023-02-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: GPrimer

    Jeongmin Bae / Hajin Jeon / Min-Soo Kim

    BMC Bioinformatics, Vol 22, Iss 1, Pp 1-

    a fast GPU-based pipeline for primer design for qPCR experiments

    2021  Band 20

    Abstract: Abstract Background Design of valid high-quality primers is essential for qPCR experiments. MRPrimer is a powerful pipeline based on MapReduce that combines both primer design for target sequences and homology tests on off-target sequences. It takes an ... ...

    Abstract Abstract Background Design of valid high-quality primers is essential for qPCR experiments. MRPrimer is a powerful pipeline based on MapReduce that combines both primer design for target sequences and homology tests on off-target sequences. It takes an entire sequence DB as input and returns all feasible and valid primer pairs existing in the DB. Due to the effectiveness of primers designed by MRPrimer in qPCR analysis, it has been widely used for developing many online design tools and building primer databases. However, the computational speed of MRPrimer is too slow to deal with the sizes of sequence DBs growing exponentially and thus must be improved. Results We develop a fast GPU-based pipeline for primer design (GPrimer) that takes the same input and returns the same output with MRPrimer. MRPrimer consists of a total of seven MapReduce steps, among which two steps are very time-consuming. GPrimer significantly improves the speed of those two steps by exploiting the computational power of GPUs. In particular, it designs data structures for coalesced memory access in GPU and workload balancing among GPU threads and copies the data structures between main memory and GPU memory in a streaming fashion. For human RefSeq DB, GPrimer achieves a speedup of 57 times for the entire steps and a speedup of 557 times for the most time-consuming step using a single machine of 4 GPUs, compared with MRPrimer running on a cluster of six machines. Conclusions We propose a GPU-based pipeline for primer design that takes an entire sequence DB as input and returns all feasible and valid primer pairs existing in the DB at once without an additional step using BLAST-like tools. The software is available at https://github.com/qhtjrmin/GPrimer.git .
    Schlagwörter Primer design ; GPU computing ; Sequence analysis ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Biology (General) ; QH301-705.5
    Thema/Rubrik (Code) 670
    Sprache Englisch
    Erscheinungsdatum 2021-04-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients

    Seungwon Oh / Sae-Ryung Kang / In-Jae Oh / Min-Soo Kim

    BMC Bioinformatics, Vol 24, Iss 1, Pp 1-

    2023  Band 13

    Abstract: Abstract Background Lung cancer is the leading cause of cancer-related deaths worldwide. The majority of lung cancers are non-small cell lung cancer (NSCLC), accounting for approximately 85% of all lung cancer types. The Cox proportional hazards model ( ... ...

    Abstract Abstract Background Lung cancer is the leading cause of cancer-related deaths worldwide. The majority of lung cancers are non-small cell lung cancer (NSCLC), accounting for approximately 85% of all lung cancer types. The Cox proportional hazards model (CPH), which is the standard method for survival analysis, has several limitations. The purpose of our study was to improve survival prediction in patients with NSCLC by incorporating prognostic information from F-18 fluorodeoxyglucose positron emission tomography (FDG PET) images into a traditional survival prediction model using clinical data. Results The multimodal deep learning model showed the best performance, with a C-index and mean absolute error of 0.756 and 399 days under a five-fold cross-validation, respectively, followed by ResNet3D for PET (0.749 and 405 days) and CPH for clinical data (0.747 and 583 days). Conclusion The proposed deep learning-based integrative model combining the two modalities improved the survival prediction in patients with NSCLC.
    Schlagwörter Deep learning ; Survival prediction ; Lung cancer ; Multimodal learning ; FDG PET ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Biology (General) ; QH301-705.5
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2023-02-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Correction

    Seungwon Oh / Sae-Ryung Kang / In-Jae Oh / Min-Soo Kim

    BMC Bioinformatics, Vol 23, Iss S9, Pp 1-

    Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients

    2023  Band 2

    Schlagwörter Computer applications to medicine. Medical informatics ; R858-859.7 ; Biology (General) ; QH301-705.5
    Sprache Englisch
    Erscheinungsdatum 2023-06-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Daily Job Crafting Helps Those Who Help Themselves More

    Sung Hyoun Hong / Nayoung Kwon / Min Soo Kim

    International Journal of Environmental Research and Public Health, Vol 17, Iss 6, p

    The Moderating Role of Job Autonomy and Leader Support

    2020  Band 2045

    Abstract: Not all members are engaged in job crafting behavior in the same context, yet little research has addressed boundary conditions of daily job crafting. This study addresses these important issues and how the effects of daily job crafting vary depending on ...

    Abstract Not all members are engaged in job crafting behavior in the same context, yet little research has addressed boundary conditions of daily job crafting. This study addresses these important issues and how the effects of daily job crafting vary depending on the work situation. We consider job autonomy and leader support as between-person level moderators and reveal how it affects the impact of daily job crafting on daily job satisfaction. Through the experience of the sampling method, we collected 946 days of data from 108 members (61.9% were male and 38.1% were female) for hypothesis testing. The analysis of results showed that the main effect of daily job crafting and the cross-level moderating effect of leader support were significant, and the moderating effect of job autonomy was not significant. In particular, the positive effect of daily job crafting on daily job satisfaction was strengthened for members with low leader support. These findings highlight that leader support is an important social context in job crafting, and provides insights when members can get more advantages from their daily job crafting.
    Schlagwörter daily job crafting ; daily job satisfaction ; job autonomy ; leader support ; multilevel analysis ; Medicine ; R
    Thema/Rubrik (Code) 331
    Sprache Englisch
    Erscheinungsdatum 2020-03-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: k -Labelsets Method for Multi-Label ECG Signal Classification Based on SE-ResNet

    Jihye Yoo / Yeongbong Jin / Bonggyun Ko / Min-Soo Kim

    Applied Sciences, Vol 11, Iss 7758, p

    2021  Band 7758

    Abstract: Cardiovascular diseases are the leading cause of death globally. The ECG is the most commonly used tool for diagnosing cardiovascular diseases, and, recently, there are a number of attempts to use deep learning to analyze ECG. In this study, we propose a ...

    Abstract Cardiovascular diseases are the leading cause of death globally. The ECG is the most commonly used tool for diagnosing cardiovascular diseases, and, recently, there are a number of attempts to use deep learning to analyze ECG. In this study, we propose a method for performing multi-label classification on standard ECG (12-lead with duration of 10 s) data. We used the ResNet model that can perform residual learning as a base model for classification in this work, and we tried to improve performance through SE-ResNet, which added squeeze and excitation blocks on the plain ResNet. As a result of the experiment, it was possible to induce overall performance improvement through squeeze and excitation blocks. In addition, the random k -labelsets (RAKEL) algorithm was applied to improve the performance in multi-label classification problems. As a result, the model that applied soft voting through the RAKEL algorithm to SE-ResNet-34 represented the best performance, and the average performances according to the number of label divisions k were achieved 0.99%, 88.49%, 92.43%, 90.54%, and 93.40% in exact match, accuracy, F1-score, precision, and recall, respectively.
    Schlagwörter computer aided diagnosis ; ECG classification ; multi-label classification ; squeeze and excitation network ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Thema/Rubrik (Code) 006
    Sprache Englisch
    Erscheinungsdatum 2021-08-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: NOx–Smoke Trade-off Characteristics in a Palm Oil-Fueled CRDI Diesel Engine under Various Injection Pressures and EGR Rates

    Guirong Wu / Jun Cong Ge / Min Soo Kim / Nag Jung Choi

    Applied Sciences, Vol 12, Iss 1069, p

    2022  Band 1069

    Abstract: Palm oil is one of the most common and productive vegetable oils, so it is often used as an excellent feedstock for biodiesel production. However, due to the high viscosity and other issues of palm oil, it cannot be directly used as an alternative fuel ... ...

    Abstract Palm oil is one of the most common and productive vegetable oils, so it is often used as an excellent feedstock for biodiesel production. However, due to the high viscosity and other issues of palm oil, it cannot be directly used as an alternative fuel for diesel engines unless some treatment is carried out. In this study, the effects of palm oil-diesel blend fuel on the nitrogen oxides (NOx)–smoke trade-off characteristics were investigated in a common rail direct injection (CRDI) diesel engine under various injection pressures and exhaust gas recirculation (EGR) rates. It was found that NOx and smoke from the combustion of fuel containing 50% palm oil (P50D50) were simultaneously suppressed by 3% and 3.1% compared with diesel fuel at an injection pressure of 400 bar, respectively. The performance of P50D50 was comparable to that of diesel, but at high injection pressure and high EGR rate, it showed shorter ignition delay (ID) and lower smoke emission.
    Schlagwörter injection pressure ; NOx ; smoke ; palm oil ; EGR ; diesel engine ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Thema/Rubrik (Code) 660
    Sprache Englisch
    Erscheinungsdatum 2022-01-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel ; Online: Accuracy of pilot balloon palpation for cuff pressure assessment in small versus large sized tubes

    Min Gi Ban / So Yeon Kim / Min Soo Kim / Wyun Kon Park / Young In Kwon / Hyun Joo Kim

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    a prospective non-randomized observational study

    2023  Band 6

    Abstract: Abstract Pilot balloon palpation is still a commonly used method to evaluate cuff pressure of the endotracheal tube after intubation. This study determined whether the size of the tracheal tube influenced the accuracy of pilot balloon palpation. A ... ...

    Abstract Abstract Pilot balloon palpation is still a commonly used method to evaluate cuff pressure of the endotracheal tube after intubation. This study determined whether the size of the tracheal tube influenced the accuracy of pilot balloon palpation. A prospective observational analysis of 208 patients intubated with an endotracheal tube of internal diameter (ID) 6.0 or 8.0 was conducted. An anesthesiologist judged the cuff pressure by manual pilot balloon palpation, and then measured the cuff pressure with a pressure gauge. Cuff pressure exceeding 20–30 cmH2O was defined as false recognition. The intracuff pressure was significantly higher in ID 6.0 tube than in the ID 8.0 tube (41.9 ± 18.8 cmH2O vs. 30.3 ± 11.9 cmH2O, p < 0.001). The number of patients that were mistakenly perceived to have appropriate cuff pressure by pilot balloon palpation was significantly higher in the ID 6.0 group compared to the ID 8.0 group (85 (81.7%) vs. 64 (61.5%), p = 0.001). Therefore, a smaller tube size may further increase risk of inaccurate measurement by pilot balloon palpation and although pressure gauge is recommended for all sizes to maximize accuracy, groups with increased risk factors should be targeted for standardized use of the pressure gauge.
    Schlagwörter Medicine ; R ; Science ; Q
    Thema/Rubrik (Code) 621
    Sprache Englisch
    Erscheinungsdatum 2023-04-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Analysis of the Fruit Drop Rate Caused by Typhoons Using Meteorological Data

    Su-Hoon Choi / So-Yeon Park / Ung Yang / Beomseon Lee / Min-Soo Kim / Sang-Hyun Lee

    Agriculture, Vol 13, Iss 1800, p

    2023  Band 1800

    Abstract: Typhoons, which are a common natural disaster in Korea, have seen a rapid increase in annual economic losses over the past decade. The objective of this study was to utilize historical crop insurance records to predict fruit drop rates caused by typhoons ...

    Abstract Typhoons, which are a common natural disaster in Korea, have seen a rapid increase in annual economic losses over the past decade. The objective of this study was to utilize historical crop insurance records to predict fruit drop rates caused by typhoons from 2016 to 2021. A total of 1848 datasets for the fruit drop rate were generated based on the impact of 24 typhoons on 77 cities with typhoon damage histories. Three different types of measures—the average value, the maximum or minimum value, and the value at a specific point during the typhoon—were applied to four meteorological factors, yielding a total of twelve variables used as model inputs. The predictive performance of the proposed models was compared using five evaluation metrics, and SHAP analysis was employed to assess the contribution of predictor variables to the model output. The most significant variable in explaining the vulnerability to typhoons was found to be the maximum wind speed. The categorical boosting model outperformed the other models in all evaluation metrics, except for the mean absolute error. The proposed model will assist in estimating the potential crop loss caused by typhoons, thereby aiding in the establishment of mitigation strategies for the main crop-producing areas.
    Schlagwörter crop insurance data ; fruit drop rate ; machine learning ; typhoon ; Agriculture (General) ; S1-972
    Sprache Englisch
    Erscheinungsdatum 2023-09-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel ; Online: Daily Positive Affect and Job Crafting

    Nayoung Kwon / Mihee Kim / Min-soo Kim

    Sustainability, Vol 11, Iss 16, p

    The Cross Level Moderating Effects of Individuals’ Resources

    2019  Band 4286

    Abstract: Whereas past research on daily job crafting has tended to focus on how job crafting affected employee behaviors, we extend this study by examining the antecedents of job crafting and cross-level moderators such as leader-member exchange (LMX) and ... ...

    Abstract Whereas past research on daily job crafting has tended to focus on how job crafting affected employee behaviors, we extend this study by examining the antecedents of job crafting and cross-level moderators such as leader-member exchange (LMX) and resilience. Using experience-sampling methodology, we examined the within-person level relationship between positive affect and job crafting as well as the moderating role of individuals’ LMX and resilience on this relationship. Finally, 105 employees completed surveys over 10 days. Results of hierarchical linear models revealed that daily positive affect was positively associated with job crafting. Also, results revealed moderating effects of LMX: the relation between positive affect and job crafting strengthened when employees had low-quality LMX relationship.
    Schlagwörter job crafting ; positive affect ; LMX ; resilience ; ESM ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Thema/Rubrik (Code) 331
    Sprache Englisch
    Erscheinungsdatum 2019-08-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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