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1.
Addict Behav Rep ; 18: 100506, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37409310

ABSTRACT

Given that the active use of certain smartphone applications is associate with problematic smartphone use, it has been proposed that certain smartphone applications are more addictive than others, such as Social Networking Services (SNS). Still, studies that consider smartphone users' main usage application which are known to influence the users' problematic smartphone use, such as SNS, remain to be explored. Thus, the current study aims to investigate the psychological and motivational predictors of problematic smartphone use in a sample of smartphone-based SNS users whose main device usage is SNS. A series of mean comparison tests and binary logistic regression were performed in this study. Of the 433 smartphone-based SNS users, 218 were male (50.3%) and 215 were female (49.7%). Age of 433 participants ranged from 20 to 40, and mean age was 30.75 (SD = 7.84). 73 participants (16.9%) were sorted into the high-risk problematic smartphone use group and 360 participants (83.1%) were categorized as the normal user group. The finding from binary regression analysis showed that reward responsiveness from the Behavioral Activation System (BAS), a lack of self-control, and anxiety significantly increased the odds of problematic smartphone use of the smartphone-based SNS users. Reward responsiveness was found to be the most powerful predictor. Our findings broaden the existing literature and provide implications to reduce addictive smartphone use relating to smartphone-based SNS usage.

2.
J Clin Med ; 12(2)2023 Jan 16.
Article in English | MEDLINE | ID: mdl-36675640

ABSTRACT

Background: Serum asialo α1-acid gycoprotein (AsAGP) is a novel biomarker specific to liver fibrosis. Aim: To evaluate the diagnostic efficacy of serum AsAGP levels in classifying the severity of liver fibrosis and differentiating liver cirrhosis (LC) in patients with chronic hepatitis B (CHB) from healthy controls. Methods: Overall, 206 subjects were prospectively enrolled. LC was diagnosed based on liver stiffness levels (>11 kPa) measured using transient elastography. Serum AsAGP levels were measured using an antibody-lectin sandwich immunoassay. We investigated the diagnostic performance by comparing serum AsAGP levels among healthy control, CHB, and CHB with LC groups. Sensitivity, specificity, and optimal AsAGP cut-off values were also calculated. Results: Serum AsAGP levels were significantly different between healthy controls, CHB patients, and CHB patients with LC (1.04 ± 0.31 µg/mL, 1.12 ± 0.34 µg/mL, 1.51 ± 0.43 µg/mL respectively; p < 0.001). Serum AsAGP levels positively correlated with liver stiffness (r = 0.46, p < 0.001). AUROC of healthy control versus CHB with LC was 0.821 (p < 0.001, optimal cut-off 1.036 µg/mL). AUROC of healthy control versus CHB was 0.624 (p = 0.049, optimal cut-off level 0.934 µg/mL). AUROC of CHB versus CHB with LC was 0.765, (p < 0.001, optimal cut-off 1.260 µg/mL). Conclusions: Serum AsAGP levels in CHB patients with LC were significantly higher than those in healthy controls and CHB patients. AsAGP levels showed good diagnostic performance in predicting advanced fibrosis and cirrhosis, which suggests a potential role as a biomarker for predicting the progression of liver disease in CHB.

3.
Healthc Inform Res ; 28(4): 343-354, 2022 Oct.
Article in English | MEDLINE | ID: mdl-36380431

ABSTRACT

OBJECTIVES: This study explored the current status of nursing informatics education in South Korea and developed a standardized curriculum for it. METHODS: Data were collected in two stages: first, an online survey conducted from December 2020 to February 2021 among 60 nursing schools to analyze the current status of nursing informatics education; and second, a two-round Delphi survey with 15 experts from March to April 2021 to determine the mean and standard deviation of the demand for each learning objective in nursing informatics education. A standardized curriculum proposal was developed based on the results of the two-round Delphi survey. RESULTS: Nursing informatics was most commonly taught in the fourth year (34%), with two credits. The proportion of elective major subjects was high in undergraduate and graduate programs (77.4% and 78.6%, respectively), while the proportion of nursing informatics majors was low (21.4%). The curriculum developed included topics such as nursing information system-related concepts, definitions and components of healthcare information systems, electronic medical records, clinical decision support systems, mobile technology and health management, medical information standards, personal information protection and ethics, understanding of big data, use of information technology in evidence-based practice, use of information in community nursing, genome information usage, artificial intelligence clinical information systems, administrative management systems, and information technology nursing education. CONCLUSIONS: Nursing informatics professors should receive ongoing training to obtain recent medical information. Further review and modification of the nursing informatics curriculum should be performed to ensure that it remains up-to-date with recent developments.

4.
Nat Commun ; 13(1): 5669, 2022 09 27.
Article in English | MEDLINE | ID: mdl-36167830

ABSTRACT

IgE is central to the development of allergic diseases, and its neutralization alleviates allergic symptoms. However, most of these antibodies are based on IgG1, which is associated with an increased risk of fragment crystallizable-mediated side effects. Moreover, omalizumab, an anti-IgE antibody approved for therapeutic use, has limited benefits for patients with high IgE levels. Here, we assess a fusion protein with extracellular domain of high affinity IgE receptor, FcεRIα, linked to a IgD/IgG4 hybrid Fc domain we term IgETRAP, to reduce the risk of IgG1 Fc-mediated side effects. IgETRAP shows enhanced IgE binding affinity compared to omalizumab. We also see an enhanced therapeutic effect of IgETRAP in food allergy models when combined with Bifidobacterium longum, which results in mast cell number and free IgE levels. The combination of IgETRAP and B. longum may therefore represent a potent treatment for allergic patients with high IgE levels.


Subject(s)
Bifidobacterium longum , Food Hypersensitivity , Bifidobacterium longum/metabolism , Dietary Supplements , Food Hypersensitivity/therapy , Humans , Immunoglobulin D , Immunoglobulin E , Immunoglobulin G , Omalizumab/therapeutic use , Receptors, IgE/metabolism
5.
Integr Med Res ; 11(4): 100885, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36065425

ABSTRACT

Background: Migraine is a relatively common disease that has a significant effect on the daily activities of affected individuals. The purpose of this study was to explore the effects of herbal medicine (Jodeungsan, JDS) on migraine. Methods: Sixty-four patients with migraine were recruited and randomized to either the JDS or placebo group at a 1:1 ratio. The subjects received JDS or placebo daily for four weeks. The primary outcome was a change in the number of headache attack days (HADs), and the secondary outcome measures were the headache impact test (HIT), migraine-specific quality of life (MSQoL), the deficiency and excess pattern identification questionnaire (DEPIQ), the cold and heat pattern identification questionnaire (CHPIQ), and the blood stasis pattern questionnaire (BSPQ). Results: In all, 61 of the 64 patients took the investigational drugs for four weeks. The number of HADs did not significantly differ between the JDS and placebo groups at the end of the study. However, the HIT and MSQoL results showed significant improvement over the baseline in both groups. Conclusion: JDS did not have a significant effect on chronic migraine. Larger studies are needed to confirm this result. Trial registration: Clinical Research Information Service (https://cris.nih.go.kr/): KCT0003121.

6.
Healthc Inform Res ; 28(3): 198-209, 2022 Jul.
Article in English | MEDLINE | ID: mdl-35982594

ABSTRACT

OBJECTIVES: This study aimed to analyze the outcomes of the Comprehensive Health and Social Need Assessment (CHSNA) system, which identifies community residents' health and social needs, and to link these needs with the International Classification of Functioning, Disability, and Health (ICF). METHODS: Adult community residents in a metropolitan city in Korea were recruited. They were asked to assess their health and social needs via the CHSNA system, which was integrated into an online community-care platform. Three assessment steps (basic health assessment, needs for activities of daily living, and in-depth health assessment) associated with five ICF components were used to evaluate physical health impairment, difficulties in activities and participation, and environmental problems. The final list of health and social needs was systematically linked to the domains and categories of the ICF. Only data from participants who completed all three assessment steps were included. RESULTS: Wide ranges of impairments and difficulties regarding the daily living activities, physical health, and environmental status of the community were recorded from 190 people who completed assessments of their health and social needs by the CHSNA system. These participants reported various health and social needs for their community life; common needs corresponded to the ICF components of body functions and activities/participation. CONCLUSIONS: The ICF may be suitable for determining the health-related problems and needs of the general population. Possible improvements to the present system include providing support for completing all assessment steps and developing an ICF core set for an enhanced understanding of health and social needs.

7.
Article in English | MEDLINE | ID: mdl-35682501

ABSTRACT

Given that Social Networking Service (SNS) has emerged as the most influential platform, which can lead users to addictive smartphone use, it is necessary to investigate which psychological variables lead smartphone-based SNS users to addictive smartphone use. Still, studies on the relationship between psychological variables and addictive smartphone use among smartphone-based SNS users remain to be explored. Therefore, this study aims to investigate the role of psychological factors on smartphone addiction proneness (SAP). A total of 433 smartphone-based SNS users were collected from 5003 adults in Korea. Data were analyzed with descriptive statistics, Pearson's correlation coefficients, and path analysis using SPSS 21.0 and AMOS 23.0. The results of a parallel-mediation path analysis demonstrated that Behavioral Inhibition (BIS), Behavioral activation (BAS) drive, anxiety, and low self-control directly influenced SAP, separately. BIS and BAS _drive also had significant indirect effects on SAP through the effect of anxiety. BIS and BAS_fun had significant indirect effects on SAP through the effect of low self-control. The study variables accounted for 38.4 of the total variances of SAP. Thus, when establishing interventions to reduce the users' addictive smartphone use, these interactive relationships of the variables should be considered.


Subject(s)
Behavior, Addictive , Self-Control , Adult , Anxiety , Behavior, Addictive/psychology , Humans , Internet Addiction Disorder , Motivation , Self-Control/psychology , Smartphone , Social Networking
8.
Org Lett ; 24(8): 1652-1656, 2022 03 04.
Article in English | MEDLINE | ID: mdl-35195421

ABSTRACT

A highly stereoselective asymmetric total synthesis of (-)-jimenezin (1), a potent anticancer acetogenin, was efficiently completed with the key feature being a sequential intramolecular amide enolate alkylation (IAEA). Our investigation to probe the origin of the complete stereoselectivity in the second IAEA step to form the conformationally flexible tetrahydrofuran with perfect stereocontrol identified the presence of the oxygen atom in the adjacent tetrahydropyran ring to be crucial.

9.
Int J Med Inform ; 156: 104590, 2021 12.
Article in English | MEDLINE | ID: mdl-34619572

ABSTRACT

BACKGROUND: Community care is a care model with the aim of shifting care services from being hospital based toward community-based care. Advances in platforms based on information and communications technology (ICT) with a person-centered approach provide the potential to improve the delivery of health and social care services toward community-based settings. OBJECTIVES: The aims of this study were to describe the ICT-Based Person-Centered Community Care Platform (IPC3P) and to determine its impact on health- and social-care-related shared decision-making and quality of life among community residents. METHODS: An online platform was developed with the aim of enhancing community care. The platform had four components: (1) comprehensive health and social needs assessment system, (2) personalized community care planning, (3) needs-based health and social care services delivery, and (4) health community engagement. Community residents were invited to use and evaluate the impact of the IPC3P on their quality of life and shared decision-making regarding health and social care services. They provided feedback about the platform by completing two surveys: at baseline (before using the platform) and 6 months after using the platform. RESULTS: Data of 164 community residents were analyzed in this study. Between baseline and after using the platform, the quality of life reported by the participants increased significantly in all domains, with clear improvements also noted for shared decision-making about health and social care services. The IPC3P received positive feedback from the participants for its usability, familiarity, and ease of use. Some participants also reported their desire for the addition of more functions that support health communities. CONCLUSION: The IPC3P has the potential to enhance the involvement of community residents in their own care. The findings of this study can be used to support the wider implementation of the IPC3P to promote person-centered community care.


Subject(s)
Communication , Quality of Life , Humans , Information Technology , Patient-Centered Care , Self Care , Social Support
10.
Sci Rep ; 10(1): 18881, 2020 11 03.
Article in English | MEDLINE | ID: mdl-33144672

ABSTRACT

Graft outcomes of unrelated donor kidney transplant are comparable with those of related donor kidney transplant despite their genetic distance. This study aimed to identify whether the similarity of donor-recipient gut microbiota composition affects early transplant outcomes. Stool samples from 67 pairs of kidney transplant recipients and donors were collected. Gut microbiota differences between donors and recipients were determined using weighted UniFrac distance. Among the donor-recipient pairs, 30 (44.8%) pairs were related, while 37 (55.2%) were unrelated. The unrelated pairs, especially spousal pairs, had similar microbial composition, and they more frequently shared their meals than related pairs did. The weighted UniFrac distance showed an inverse correlation with the 6-month allograft function (p = 0.034); the correlation was significant in the unrelated pairs (p = 0.003). In the unrelated pairs, the microbial distance showed an excellent accuracy in predicting the estimated glomerular filtration rate of < 60 mL/min/1.73 m2 at 6-months post-transplantation and was better than human leukocyte antigen incompatibility and rejection. The incidence of infection within 6 months post-transplantation increased in the recipients having dissimilar microbiota with donors compared to the other recipients. Thus, pre-transplantation microbial similarity in unrelated donors and recipients may be associated with 6-month allograft function.


Subject(s)
Bacteria/classification , Communicable Diseases/epidemiology , Kidney Transplantation/methods , Kidney/physiology , Living Donors , Adult , Bacteria/isolation & purification , Female , Gastrointestinal Microbiome , Glomerular Filtration Rate , Humans , Incidence , Male , Middle Aged , Phylogeny , Sequence Analysis, DNA , Transplant Recipients
11.
Microorganisms ; 8(6)2020 Jun 16.
Article in English | MEDLINE | ID: mdl-32560104

ABSTRACT

Chronic kidney disease (CKD)-associated uremia aggravates-and is aggravated by-gut dysbiosis. However, the correlation between CKD severity and gut microbiota and/or their uremic metabolites is unclear. We enrolled 103 CKD patients with stage 1 to 5 and 46 healthy controls. We analyzed patients' gut microbiota by MiSeq system and measured the serum concentrations of four uremic metabolites (p-cresyl sulfate, indoxyl sulfate, p-cresyl glucuronide, and trimethylamine N-oxide) by liquid chromatography-tandem mass spectrometry. Serum concentrations of the uremic metabolites increased with kidney function deterioration. Gut microbial diversity did not differ among the examined patient and control groups. In moderate or higher stage CKD groups, Oscillibacter showed positive interactions with other microbiota, and the proportions of Oscillibacter were positively correlated with those of the uremic metabolites. The gut microbiota, particularly Oscillibacter, was predicted to contribute to pyruvate metabolism which increased with CKD progression. Relative abundance of Oscillibacter was significantly associated with both serum uremic metabolite levels and kidney function. Predicted functional analysis suggested that kidney-function-associated changes in the contribution of Oscillibacter to pyruvate metabolism in CKD may greatly affect the gut environment according to kidney function, resulting in dysbiosis concomitant with uremic toxin production. The gut microbiota could be associated with uremia progression in CKD. These results may provide basis for further metagenomics analysis of kidney diseases.

12.
Int J Syst Evol Microbiol ; 70(5): 3134-3138, 2020 May.
Article in English | MEDLINE | ID: mdl-32375953

ABSTRACT

Paenibacillus is one of the genera that has high species diversity and Paenibacillus polymyxa, the type species of the genus, is mainly isolated from plant-associated environments. Among the plant-associated species, Paenibacillus jamilae B.3T (=CECT 5266T=DSM 13815T=KACC 10925T=KCTC 13919T) was proposed to be a novel species according to 16S rRNA gene similarity and DNA-DNA relatedness with related species, including Paenibacillus polymyxa. Nevertheless, in the description of Paenibacillus jamilae the used strain of Paenibacillus polymyxa was not the type strain of this species. In this work we found that the type strains of both species showed 16S rRNA gene similarity of 99.6 %. Therefore, in this study, we sequenced the genome of Paenibacillus jamilae KACC 10925T and compared it with those of the type strain of Paenibacillus polymyxa ATCC 842T and other phylogenetically related species. Genome relatedness value calculated by DNA-DNA hybridization between type strains of Paenibacillus polymyxa and Paenibacillus jamilae was 73.5 %, which is higher than the threshold value (70 %). For more objective and repeatable results of genome relatedness, we analysed an average nucleotide identity (ANI) between two strains. Our results showed that ANI value between the type strains of Paenibacillus jamilae and Paenibacillus polymyxa is 98.5 %, a phylogenetic distance also higher than the threshold values (95~96 %). These values were proposed by Yoon et al. (2017). In addition, their phylogenetic distance based on 92 bacterial core genes is highly close compared to other species. These mean that Paenibacillus jamilae and Paenibacillus polymyxa should be reclassified as a single species. Based on the results from genomic level comparison as well as reexamination results of physiological and chemotaxonomic features, we propose reclassification of Paenibacillus jamilae as a later heterotypic synonym of Paenibacillus polymyxa.


Subject(s)
Paenibacillus polymyxa/classification , Paenibacillus/classification , Phylogeny , Bacterial Typing Techniques , DNA, Bacterial/genetics , Genes, Bacterial , Genomics , Nucleic Acid Hybridization , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA
13.
Article in English | MEDLINE | ID: mdl-32183085

ABSTRACT

This study was designed to verify the effectiveness of smart gardens by improving indoor air quality (IAQ) through the installation of an indoor garden with sensor-based Internet-of-Things (IoT) technology that identifies pollutants such as particulate matter. In addition, the study aims to introduce indoor gardens for customized indoor air cleaning using the data and IoT technology. New apartments completed in 2016 were selected and divided into four households with indoor gardens installed and four households without indoor gardens. Real-time data and data on PM2.5, CO2, temperature, and humidity were collected through an IoT-based IAQ monitoring system. In addition, in order to examine the effects on the health of occupants, the results were analyzed based on epidemiological data, prevalence data, current maintenance, and recommendation criteria, and were presented and evaluated as indices. The indices were classified into a comfort index, which reflects the temperature and humidity, an IAQ index, which reflects PM2.5 and CO2, and an IAQ composite index. The IAQ index was divided into five grades from "good" to "hazardous". Using a scale of 1 to 100 points, it was determined as follows: "good (0-20)", "moderate (21-40)", "unhealthy for sensitive group (41-60)", "bad (61-80)", "hazardous (81-100)". It showed an increase in the "good" section after installing the indoor garden, and the "bad" section decreased. Additionally, the comfort index was classified into five grades from "very comfortable" to "very uncomfortable". In the comfort index, the "uncomfortable" section decreased, and the "comfortable" section increased after the indoor garden was installed.


Subject(s)
Air Pollutants , Air Pollution, Indoor , Environmental Monitoring , Gardens , Particulate Matter
14.
J Appl Stat ; 47(10): 1739-1756, 2020.
Article in English | MEDLINE | ID: mdl-35707136

ABSTRACT

We consider the clustering of repeatedly measured 'min-max' type interval-valued data. We read the data as matrix variate data and assume the covariance matrix is separable for the model-based clustering (M-clustering). The use of a separable covariance matrix introduces several advantages in M-clustering, which include fewer samples required for a valid procedure. In addition, the numerical study shows that this structured matrix allows us to find the correct number of clusters more accurately compared to other commonly assumed covariance matrices. We apply the M-clustering with various covariance structures to clustering the longitudinal blood pressure data from the National Heart, Lung, and Blood Institute Growth and Health Study (NGHS).

15.
Healthc Inform Res ; 25(4): 338-343, 2019 Oct.
Article in English | MEDLINE | ID: mdl-31777678

ABSTRACT

OBJECTIVES: This study developed an information and communication technology (ICT)-based comprehensive health and social-needs assessment (CHSNA) system based on the International Classification of Functioning, Disability, and Health (ICF) with the aim of enhancing person-centered community care for community residents and supporting healthcare professionals and social workers who provide healthcare and social services in the community. METHODS: Items related to a CHSNA tool were developed and mapped with ICF codes. Experts validated the CHSNA system design and process using the Delphi method, and a pilot test of the initial version of the system was conducted. RESULTS: The following three steps of CHSNA were embedded in the system, which had a user-friendly screen and images: basic health assessment, life and activity assessment, and in-depth health assessment. The assessment results for the community residents were presented with visualized health profiles, including images, graphs, and an ICF model. CONCLUSIONS: The developed CHSNA system can be used by healthcare professionals, social workers, and community residents to evaluate the reasoning underlying health and social needs, to facilitate the identification of more appropriate healthcare plans, and to guide community residents to receive the best healthcare services. A CHSNA system can improve the implementation of standardized terminology utilizing the ICF and the accuracy of needs assessments of community residents.

16.
Int J Syst Evol Microbiol ; 69(12): 3672-3675, 2019 Dec.
Article in English | MEDLINE | ID: mdl-31663499

ABSTRACT

Members of the genus Weissella are mostly found in fermented plant material. Among the Weissella species, two species, Weissella thailandensis and Weissella jogaejeotgali, were isolated from foods fermented from marine animals. The two species showed a high level of 16S rRNA gene similarity (99.39 %), whereas they exhibited a moderate level of DNA-DNA hybridization relatedness (63.9 %) in an earlier study. In this study, we determined the whole genome sequence of W. thailandensis KCTC 3751T and compared it to those of W. jogaejeotgali FOL01T and other related species. The average nucleotide identity value between the type strains of W. thailandensis and W. jogaejeotgali was 96.4 %, which is clearly higher than the cut-off proposed for bacterial species. We, therefore, propose to reclassify W. jogaejeotgali as a later heterotypic synonym of W. thailandensis.


Subject(s)
Fermented Foods/microbiology , Phylogeny , Weissella/classification , Bacterial Typing Techniques , Base Composition , DNA, Bacterial/genetics , Fatty Acids/chemistry , Nucleic Acid Hybridization , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA , Thailand
17.
Stud Health Technol Inform ; 264: 1694-1695, 2019 Aug 21.
Article in English | MEDLINE | ID: mdl-31438297

ABSTRACT

We developed a comprehensive health and social-need assessment system to evaluate the diverse needs of elders with chronic illnesses in the community and to enhance the connection of their needs to health and social services. A comprehensive needs-assessment tool and profiles were integrated into the ICT system. We found that care managers could assess elders' needs comprehensively and connect those needs to suitable health and social services systematically.


Subject(s)
Needs Assessment , Self Care , Aged , Chronic Disease , Health Information Systems , Humans
18.
Stud Health Technol Inform ; 264: 1821-1822, 2019 Aug 21.
Article in English | MEDLINE | ID: mdl-31438361

ABSTRACT

The purpose of this study was to develop an ICT-based care-management support system and to assess its validity and applicability through pilot testing. The system links users' health and social needs to community resources. Users and care managers participated in each step of care management through an interactive decision support system. The system contributes to facilitate person-centered community care.


Subject(s)
Patient Care Team , Self Care , Humans , Pilot Projects
19.
Microbiologyopen ; 8(3): e00656, 2019 03.
Article in English | MEDLINE | ID: mdl-30117297

ABSTRACT

Members of the genus Nocardia are widespread in diverse environments; a wide range of Nocardia species are known to cause nocardiosis in several animals, including cat, dog, fish, and humans. Of the pathogenic Nocardia species, N. seriolae is known to cause disease in cultured fish, resulting in major economic loss. We isolated two N. seriolae strains, CK-14008 and EM15050, from diseased fish and sequenced their genomes using the PacBio sequencing platform. To identify their genomic features, we compared their genomes with those of other Nocardia species. Phylogenetic analysis showed that N. seriolae shares a common ancestor with a putative human pathogenic Nocardia species. Moreover, N. seriolae strains were phylogenetically divided into four clusters according to host fish families. Through genome comparison, we observed that the putative pathogenic Nocardia strains had additional genes for iron acquisition. Dozens of antibiotic resistance genes were detected in the genomes of N. seriolae strains; most of the antibiotics were involved in the inhibition of the biosynthesis of proteins or cell walls. Our results demonstrated the virulence features and antibiotic resistance of fish pathogenic N. seriolae strains at the genomic level. These results may be useful to develop strategies for the prevention of fish nocardiosis.


Subject(s)
Fish Diseases/microbiology , Genome, Bacterial , Nocardia Infections/veterinary , Nocardia/genetics , Nocardia/isolation & purification , Animals , Cluster Analysis , Computational Biology , Drug Resistance, Bacterial , Genes, Bacterial , Iron/metabolism , Nocardia Infections/microbiology , Phylogeny , Sequence Analysis, DNA , Virulence Factors/metabolism
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