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Technology readiness trait – does it has a role to accelerate patient’s adoption of e-health?
LEE Wan Ling,LIM Zi Jing 한국간호과학회 2021 한국간호과학회 학술대회 Vol.2021 No.10
Aim(s): The COVID-19 pandemic has catalysed the digital transformation of healthcare but the extent to which patients are ready to adopt e-health is yet to be determined, including middle-income countries. Among the many patient determinants of e-health being studied, an innate trait called “technology readiness” is underexplored in clinical research. Study aimed to examine the role patient’s technology readiness (TR) in relation to e-health literacy (eHL) that influence e-health adoption Method(s): A cross-sectional survey was conducted in a tertiary hospital in Malaysia. A total of 276 adult in-patients with hypertension, diabetic mellitus and coronary heart disease had completed eHealth Literacy Scale, Technology Readiness Index (2.0), behaviour and perceived use of digital technology in addressing health problem. Hierarchical linear regression analysis using entry block was performed to examine the effects of the four subdomains of TR on eHL after controlling for other independent variables. Result(s): Patients had moderate TR (mean =3.03). Regression model shows TR is a strong determinant of eHL (Δ R2 =.295, P<.001) with its subdomains (optimism, innovativeness and discomfort) significantly influencing eHL (|β| = 0.28-0.40; P values < 0.001), except for the subdomain insecurity. Among the 97.1 % of patients owning the smartphone, about 24% and 12% used mobile health apps and fitness devices, respectively. The low 22% patients read health-related materials presents a concern in view that digital materials are often heavily textual. Conclusion(s): The deployment of digital health interventions should incorporate assessment of patients’ TR for targeted strategies. Design and delivery of technology-based interventions that are tailored to patient’s TR will enhance better patient engagement and adoption of e-health.
Does Spore Count Matter in Fungal Allergy?: The Role of Allergenic Fungal Species
Wan-Rou Lin,Yi-Hsing Chen,Mey-Fann Lee,Ling-Yi Hsu,Chih-Jen Tien,Feng-Ming Shih,Shih-Ching Hsiao,Pi-Han Wang 대한천식알레르기학회 2016 Allergy, Asthma & Immunology Research Vol.8 No.5
Purpose: Fungi have been known to be important aeroallergens for hundreds of years. Most studies have focused on total fungal concentration; however, the concentration of specific allergenic fungi may be more important on an individual basis. Methods: Ten fungal allergic patients and 2 non-fungal allergic patients were enrolled. The patients with a decrease in physician or patient global assessment by more than 50% of their personal best were considered to have an exacerbation of allergic symptoms and to be in the active stage. Those who maintained their physician and patient global assessment scores at their personal best for more than 3 months were considered to be in the inactive stage. The concentrations of dominant fungi in the patients’ houses and outdoors were measured by direct and viable counts at active and inactive stages. Results: The exacerbation of allergic symptoms was not correlated with total fungal spore concentration or the indoor/outdoor ratio (I/O). Specific fungi, such as Cladosporium oxysporum (C. oxyspurum), C. cladosporioides, and Aspergillus niger (A. niger), were found to be significantly higher concentrations in the active stage than in the inactive stage. Presumed allergenic spore concentration threshold levels were 100 CFU/m3 for C. oxysporum, and 10 CFU/m3 for A. niger, Penicillium brevicompactum and Penicillium oxalicum. Conclusions: The major factor causing exacerbation of allergic symptoms in established fungal allergic patients may be the spore concentration of specific allergenic fungi rather than the total fungal concentration. These results may be useful in making recommendations as regards environmental control for fungal allergic patients.
Pan Wan-Lin,Gau Meei-Ling,Hsu Tzu-Chuan,Shen Shu-Chiao,Lee Tzu-Ying 한국간호과학회 2022 Asian Nursing Research Vol.16 No.3
Purpose: Perinatal distress, especially depression, commonly occurs during pregnancy and the first year postpartum, but this medical condition are often undiagnosed and untreated. The present study explored how women with depressive symptoms during the perinatal period who had participated in a mindfulness course applied the training and perceived its effects. Methods: This descriptive qualitative study included 16 women with probable perinatal depression who had participated in an 8-week mindfulness-based childbirth and parenting program during their pregnancy and agreed to be interviewed. One-to-one in-depth interviews were conducted and recorded following the completion of the mindfulness course, approximately 1 month after childbirth. Verbatim transcripts were analyzed using content analysis. Results: We proposed three themes and six subthemes relating to first-time mothers’ experiences during and after the group mindfulness-based intervention: learning to be aware of the body and mind (confronting awareness of physical change, managing negative feelings differently), building positive family relationships (strengthening the motherebaby bond, developing a satisfactory marital partnership), and overcoming ongoing challenges (conquering childbirth pain with confidence, accepting unexpected situations). Three main themes were generated to demonstrate how women experience the effects of mindfulness training. Conclusions: Mindfulness-based interventions helped the participants develop insight into their mood and physical changes and accept their childbirth process. Therefore, mindfulness education programs can be incorporated into prenatal care to enhance the management of the depressive symptoms of perinatal women.
Production of bioactive ginsenoside Rg3(S) and compound K using recombinant Lactococcus lactis
Li, Ling,Lee, Soo Jin,Yuan, Qiu Ping,Im, Wan Taek,Kim, Sun Chang,Han, Nam Soo The Korean Society of Ginseng 2018 Journal of Ginseng Research Vol.42 No.4
Background: Ginsenoside Rg3(S) and compound K (C-K) are pharmacologically active components of ginseng that promote human health and improve quality of life. The aim of this study was to produce Rg3(S) and C-K from ginseng extract using recombinant Lactococcus lactis. Methods: L. lactis subsp. cremoris NZ9000 (L. lactis NZ9000), which harbors ${\beta}$-glucosidase genes (BglPm and BglBX10) from Paenibacillus mucilaginosus and Flavobacterium johnsoniae, respectively, was reacted with ginseng extract (protopanaxadiol-type ginsenoside mixture). Results: Crude enzyme activity of BglBX10 values comprised 0.001 unit/mL and 0.003 unit/mL in uninduced and induced preparations, respectively. When whole cells of L. lactis harboring pNZBglBX10 were treated with ginseng extract, after permeabilization of cells by xylene, Rb1 and Rd were converted into Rg3(S) with a conversion yield of 61%. C-K was also produced by sequential reactions of the permeabilized cells harboring each pNZBgl and pNZBglBX10, resulting in a 70% maximum conversion yield. Conclusion: This study demonstrates that the lactic acid bacteria having specific ${\beta}$-glucosidase activity can be used to enhance the health benefits of Panax ginseng in either fermented foods or bioconversion processes.
Li, Ling,Shin, So-Yeon,Lee, Soo Jin,Moon, Jin Seok,Im, Wan Taek,Han, Nam Soo American Chemical Society 2016 Journal of agricultural and food chemistry Vol.64 No.12
<P>This study aimed to produce a pharmacologically active minor ginsenoside F2 from the major ginsenosides Rbl and Rd by using a recombinant Lactococcus lactis strain expressing a heterologous beta-glucosidase gene. The nucleotide sequence of the gene (BglPm) was derived from Paenibacillus mucilaginosus and synthesized after codon optimization, and the two genes (unoptimized and optimized) were expressed in L. lactis NZ9000. Codon optimization resulted in reduction of unfavorable codons by 50% and a considerable increase in the expression levels (total activities) of beta-glucosidases (0.002 unit/mL, unoptimized; 0.022 unit/mL, optimized). The molecular weight of the enzyme was 52 kDa, and the purified forms of the enzymes could successfully convert Rbl and Rd into F2. The permeabilized L. lactis expressing BglPm resulted in a high conversion yield (74%) of F2 from the ginseng extract. Utilization of this microbial cell to produce F2 may provide an alternative method to increase the health benefits of Panax ginseng.</P>
An Innovative Application Method of Monthly Load Forecasting for Smart IEDs
Myeon-Song Choi,Ling Xiang,Seung-Jae Lee,Tae-Wan Kim 대한전기학회 2013 Journal of Electrical Engineering & Technology Vol.8 No.5
This paper develops a new Intelligent Electronic Device (IED), and then presents an application method of a monthly load forecasting algorithm on the smart IEDs. A Multiple Linear Regression (MLR) model implemented with Recursive Least Square (RLS) estimation is established in the algorithm. Case Study proves the accuracy and reliability of this algorithm and demonstrates the practical meanings through designed screens. The application method shows the general way to make use of IED’s smart characteristics and thereby reveals a broad prospect of smart function realization in application.
Imaging x-ray crystal spectrometer on EAST
Shi, Yuejiang,Wang, Fudi,Wan, Baonian,Bitter, Manfred,Lee, Sanggon,Bak, Jungyo,Hill, Kennith,Fu, Jia,Li, Yingying,Zhang, Wei,Ti, Ang,Ling, Bili Published jointly by The Institute of Physics and 2010 Plasma physics and controlled fusion Vol.52 No.8
<P>A high-resolution imaging x-ray crystal spectrometer is described for implementation on the EAST tokamak to provide spatially and temporally resolved data on the ion temperature, electron temperature and poloidal plasma rotation. These data are derived from observations of the satellite spectra of helium-like argon, Ar XVII, which is the dominant charge state for electron temperatures in the range from 0.4 to 3.0 keV and which is accessible to EAST. Employing a novel design, which is based on the imaging properties of spherically bent crystals, the spectrometers will provide spectrally and spatially resolved images of the plasma for all experimental conditions, which include ohmically heated discharges as well as plasmas with rf and neutral-beam heating. The experimental setup and initial experimental results are presented.</P>
An Innovative Application Method of Monthly Load Forecasting for Smart IEDs
Choi, Myeon-Song,Xiang, Ling,Lee, Seung-Jae,Kim, Tae-Wan The Korean Institute of Electrical Engineers 2013 Journal of Electrical Engineering & Technology Vol.8 No.5
This paper develops a new Intelligent Electronic Device (IED), and then presents an application method of a monthly load forecasting algorithm on the smart IEDs. A Multiple Linear Regression (MLR) model implemented with Recursive Least Square (RLS) estimation is established in the algorithm. Case Study proves the accuracy and reliability of this algorithm and demonstrates the practical meanings through designed screens. The application method shows the general way to make use of IED's smart characteristics and thereby reveals a broad prospect of smart function realization in application.