LIVIVO - Search results -

Search results

Result 1 - 10 of total 89

Search options

Article ; Online: Etch characteristics of magnetic tunnel junction materials using H

Kim, Ju Eun / Kim, Doo San / Gill, You Jung / Jang, Yun Jong / Kim, Ye Eun / Cho, Hanna / Won, Bok-Yeon / Kwon, Oik / Yoon, Kukhan / Choi, Jin-Young / Park, Jea-Gun / Yeom, Geun Young

Nanotechnology

2021 Volume 32, Issue 5, Page(s) 55301

Abstract: ... such as W and TiN were etched with a reactive ion beam etching (RIBE) system using H ...

Abstract	Magnetic tunneling junction (MTJ) materials such as CoFeB, Co, Pt, MgO, and the hard mask material such as W and TiN were etched with a reactive ion beam etching (RIBE) system using H
Language	English
Publishing date	2021-01-01
Publishing country	England
Document type	Journal Article
ZDB-ID	1362365-5
ISSN	1361-6528 ; 0957-4484
ISSN (online)	1361-6528
ISSN	0957-4484
DOI	10.1088/1361-6528/abb04e
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Article ; Online: Rapid Visible Detection of African Swine Fever Virus Using Hybridization Chain Reaction-Sensitized Magnetic Nanoclusters and Affinity Chromatography.

Lee, Hyo / Lee, Sojeong / Park, Chaewon / Yeom, Minjoo / Lim, Jong-Woo / Vu, Thi Thu Hang / Kim, Eunjung / Song, Daesub / Haam, Seungjoo

Small (Weinheim an der Bergstrasse, Germany)

2023 Volume 19, Issue 26, Page(s) e2207117

Abstract: African swine fever virus (ASFV) is a severe and persistent threat to the global swine industry. As there are no vaccines against ASFV, there is an immense need to develop easy-to-use, cost-effective, and rapid point-of-care (POC) diagnostic platforms to ...

Abstract	African swine fever virus (ASFV) is a severe and persistent threat to the global swine industry. As there are no vaccines against ASFV, there is an immense need to develop easy-to-use, cost-effective, and rapid point-of-care (POC) diagnostic platforms to detect and prevent ASFV outbreaks. Here, a novel POC diagnostic system based on affinity column chromatography for the optical detection of ASFV is presented. This system employs an on-particle hairpin chain reaction to sensitize magnetic nanoclusters with long DNA strands in a target-selective manner, which is subsequently fed into a column chromatography device to produce quantitatively readable and colorimetric signals. The detection approach does not require expensive analytical apparatus or immobile instrumentation. The system can detect five genes constituting the ASFV whole genome with a detection limit of ≈19.8 pm in swine serum within 30 min at laboratory room temperature. With an additional pre-amplification step using polymerase chain reaction (PCR), the assay is successfully applied to detect the presence of ASFV in 30 suspected swine samples with 100% sensitivity and specificity, similar to quantitative PCR. Thus, this simple, inexpensive, portable, robust, and customizable platform for the early detection of ASFV can facilitate the timely surveillance and implementation of control measures.
MeSH term(s)	Swine ; Animals ; African Swine Fever Virus/genetics ; African Swine Fever/diagnosis ; Polymerase Chain Reaction/methods ; Chromatography, Affinity ; Sensitivity and Specificity ; Magnetic Phenomena
Language	English
Publishing date	2023-03-24
Publishing country	Germany
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2168935-0
ISSN	1613-6829 ; 1613-6810
ISSN (online)	1613-6829
ISSN	1613-6810
DOI	10.1002/smll.202207117
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: Development of artificial neural networks software for arsenic adsorption from an aqueous environment

Maurya, A.K. / Nagamani, M. / Kang, Seung Won / Yeom, Jong-Taek / Hong, Jae-Keun / Sung, Hyokyung / Park, C.H. / Uma Maheshwera Reddy, Paturi / Reddy, N.S.

Environmental research. 2022 Jan., v. 203

2022

Abstract: Arsenic contamination is a global problem, as it affects the health of millions of people. For this study, data-driven artificial neural network (ANN) software was developed to predict and validate the removal of As(V) from an aqueous solution using ... ...

Abstract	Arsenic contamination is a global problem, as it affects the health of millions of people. For this study, data-driven artificial neural network (ANN) software was developed to predict and validate the removal of As(V) from an aqueous solution using graphene oxide (GO) under various experimental conditions. A reliable model for wastewater treatment is essential in order to predict its overall performance and to provide an idea of how to control its operation. This model considered the adsorption process parameters (initial concentration, adsorbent dosage, pH, and residence time) as the input variables and arsenic removal as the only output. The ANN model predicted the adsorption efficiency with high accuracy for both training and testing datasets, when compared with the available response surface methodology (RSM) model. Based on the best model synaptic weights, user-friendly ANN software was created to predict and analyze arsenic removal as a function of adsorption process parameters. We developed various graphical user interfaces (GUI) for easy use of the developed model. Thus, a researcher can efficiently operate the software without an understanding of programming or artificial neural networks. Sensitivity analysis and quantitative estimation were carried out to study the function of adsorption process parameter variables on As(V) removal efficiency, using the GUI of the model. The model prediction shows that the adsorbent dosages, initial concentration, and pH are the most influential parameters. The efficiency was increased as the adsorbent dosages increased, decreasing with initial concentration and pH. The result show that the pH 2.0–5.0 is optimal for adsorbent efficiency (%).
Keywords	adsorbents ; adsorption ; aqueous solutions ; arsenic ; computer software ; data collection ; graphene oxide ; neural networks ; pH ; prediction ; research ; researchers ; response surface methodology ; wastewater treatment
Language	English
Dates of publication	2022-01
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2021.111846
Database	NAL-Catalogue (AGRICOLA)

In stock of ZB MED Cologne/Königswinter

Zs.A 726: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Risk of newly diagnosed interstitial lung disease after COVID-19 and impact of vaccination: a nationwide population-based cohort study.

Kim, Bo-Guen / Lee, Hyun / Jeong, Cho Yun / Yeom, Sang Woo / Park, Dong Won / Park, Tai Sun / Moon, Ji-Yong / Kim, Tae-Hyung / Sohn, Jang Won / Yoon, Ho Joo / Kim, Jong Seung / Kim, Sang-Heon

Frontiers in public health

2024 Volume 11, Page(s) 1295457

Abstract: Objectives: Previous studies suggested that coronavirus disease 2019 (COVID-19) could lead to pulmonary fibrosis, but the incidence of newly diagnosed interstitial lung disease (ILD) after COVID-19 is unclear. We aimed to determine whether COVID-19 ... ...

Abstract	Objectives: Previous studies suggested that coronavirus disease 2019 (COVID-19) could lead to pulmonary fibrosis, but the incidence of newly diagnosed interstitial lung disease (ILD) after COVID-19 is unclear. We aimed to determine whether COVID-19 increases the risk of newly diagnosed ILD and whether vaccination against COVID-19 can reduce this risk. Methods: This retrospective cohort study used data from the Korean National Health Insurance claim-based database. Two study groups and propensity score (PS)-matched control groups were constructed: Study 1: participants diagnosed with COVID-19 (COVID-19 cohort) and their PS-matched controls; Study 2: COVID-19 vaccinated participants (vaccination cohort) and their PS-matched controls. Results: In Study 1, during a median 6 months of follow-up, 0.50% of the COVID-19 cohort (300/60,518) and 0.04% of controls (27/60,518) developed newly diagnosed ILD, with an incidence of 9.76 and 0.88 per 1,000 person-years, respectively. The COVID-19 cohort had a higher risk of ILD [adjusted hazard ratio (aHR), 11.01; 95% confidence interval (CI), 7.42-16.32] than controls. In Study 2, the vaccination cohort had a lower risk of newly diagnosed ILD than controls (aHR, 0.44; 95% CI, 0.34-0.57). Conclusion: Using nationwide data, we demonstrated that COVID-19 was associated with a higher incidence rate of newly diagnosed ILD, but that this risk could be mitigated by COVID-19 vaccination.
MeSH term(s)	Humans ; COVID-19 Vaccines ; Cohort Studies ; Retrospective Studies ; COVID-19/epidemiology ; COVID-19/prevention & control ; Lung Diseases, Interstitial/epidemiology ; Lung Diseases, Interstitial/etiology ; Vaccination
Chemical Substances	COVID-19 Vaccines
Language	English
Publishing date	2024-01-08
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2023.1295457
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: In reply: Not which forceps, but whether forceps?

Yeom, Jong H / Oh, Mi K / Shin, Woo J / Ahn, Dae W / Jeon, Woo J / Cho, Sang Y

Canadian journal of anaesthesia = Journal canadien d'anesthesie

2018 Volume 65, Issue 7, Page(s) 858

MeSH term(s)	Biopsy ; Surgical Instruments
Language	English
Publishing date	2018-03-27
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	91002-8
ISSN	1496-8975 ; 0832-610X
ISSN (online)	1496-8975
ISSN	0832-610X
DOI	10.1007/s12630-018-1115-1
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 109: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Development of artificial neural networks software for arsenic adsorption from an aqueous environment.

Maurya, A K / Nagamani, M / Kang, Seung Won / Yeom, Jong-Taek / Hong, Jae-Keun / Sung, Hyokyung / Park, C H / Uma Maheshwera Reddy, Paturi / Reddy, N S

Environmental research

2021 Volume 203, Page(s) 111846

Abstract	Arsenic contamination is a global problem, as it affects the health of millions of people. For this study, data-driven artificial neural network (ANN) software was developed to predict and validate the removal of As(V) from an aqueous solution using graphene oxide (GO) under various experimental conditions. A reliable model for wastewater treatment is essential in order to predict its overall performance and to provide an idea of how to control its operation. This model considered the adsorption process parameters (initial concentration, adsorbent dosage, pH, and residence time) as the input variables and arsenic removal as the only output. The ANN model predicted the adsorption efficiency with high accuracy for both training and testing datasets, when compared with the available response surface methodology (RSM) model. Based on the best model synaptic weights, user-friendly ANN software was created to predict and analyze arsenic removal as a function of adsorption process parameters. We developed various graphical user interfaces (GUI) for easy use of the developed model. Thus, a researcher can efficiently operate the software without an understanding of programming or artificial neural networks. Sensitivity analysis and quantitative estimation were carried out to study the function of adsorption process parameter variables on As(V) removal efficiency, using the GUI of the model. The model prediction shows that the adsorbent dosages, initial concentration, and pH are the most influential parameters. The efficiency was increased as the adsorbent dosages increased, decreasing with initial concentration and pH. The result show that the pH 2.0-5.0 is optimal for adsorbent efficiency (%).
MeSH term(s)	Adsorption ; Arsenic ; Humans ; Hydrogen-Ion Concentration ; Kinetics ; Neural Networks, Computer ; Software ; Water Pollutants, Chemical/analysis
Chemical Substances	Water Pollutants, Chemical ; Arsenic (N712M78A8G)
Language	English
Publishing date	2021-08-06
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2021.111846
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 726: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: High-throughput genetic engineering tools for regulating gene expression in a microbial cell factory.

Yeom, Jinho / Park, Jong Seong / Jung, Seung-Woon / Lee, Sumin / Kwon, Hyukjin / Yoo, Seung Min

Critical reviews in biotechnology

2021 Volume 43, Issue 1, Page(s) 82–99

Abstract: With the rapid advances in biotechnological tools and strategies, microbial cell factory-constructing strategies have been established for the production of value-added compounds. However, optimizing the tradeoff between the biomass, yield, and titer ... ...

Abstract	With the rapid advances in biotechnological tools and strategies, microbial cell factory-constructing strategies have been established for the production of value-added compounds. However, optimizing the tradeoff between the biomass, yield, and titer remains a challenge in microbial production. Gene regulation is necessary to optimize and control metabolic fluxes in microorganisms for high-production performance. Various high-throughput genetic engineering tools have been developed for achieving rational gene regulation and genetic perturbation, diversifying the cellular phenotype and enhancing bioproduction performance. In this paper, we review the current high-throughput genetic engineering tools for gene regulation. In particular, technological approaches used in a diverse range of genetic tools for constructing microbial cell factories are introduced, and representative applications of these tools are presented. Finally, the prospects for high-throughput genetic engineering tools for gene regulation are discussed.
MeSH term(s)	Metabolic Engineering ; Biotechnology ; Gene Expression Regulation ; Biomass ; Gene Expression
Language	English
Publishing date	2021-12-26
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	1042364-3
ISSN	1549-7801 ; 0738-8551
ISSN (online)	1549-7801
ISSN	0738-8551
DOI	10.1080/07388551.2021.2007351
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 2554: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Kinetic stability modulation of polymeric nanoparticles for enhanced detection of influenza virus

Park, Chaewon / Lim, Jong-Woo / Park, Geunseon / Kim, Hyun-Ouk / Lee, Sojeong / Kwon, Yuri H / Kim, Seong-Eun / Yeom, Minjoo / Na, Woonsung / Song, Daesub / Kim, Eunjung / Haam, Seungjoo

Journal of materials chemistry. B

2021 Volume 9, Issue 47, Page(s) 9658–9669

Abstract: Specific interactions between viruses and host cells provide essential insights into material science-based strategies to combat emerging viral diseases. pH-triggered viral fusion is ubiquitous to multiple viral families and is important for ... ...

Abstract	Specific interactions between viruses and host cells provide essential insights into material science-based strategies to combat emerging viral diseases. pH-triggered viral fusion is ubiquitous to multiple viral families and is important for understanding the viral infection cycle. Inspired by this process, virus detection has been achieved using nanomaterials with host-mimetic membranes, enabling interactions with amphiphilic hemagglutinin fusion peptides of viruses. Most research has been on designing functional nanoparticles with fusogenic capability for virus detection, and there has been little exploitation of the kinetic stability to alter the ability of nanoparticles to interact with viral membranes and improve their sensing performance. In this study, a homogeneous fluorescent assay using self-assembled polymeric nanoparticles (PNPs) with tunable responsiveness to external stimuli is developed for rapid and straightforward detection of an activated influenza A virus. Dissociation of PNPs induced by virus insertion can be readily controlled by varying the fraction of hydrophilic segments in copolymers constituting PNPs, giving rise to fluorescence signals within 30 min and detection of various influenza viruses, including H9N2, CA04(H1N1), H4N6, and H6N8. Therefore, the designs demonstrated in this study propose underlying approaches for utilizing engineered PNPs through modulation of their kinetic stability for direct and sensitive identification of infectious viruses.
MeSH term(s)	Animals ; Carbocyanines/chemistry ; Chickens ; Eggs/virology ; Fluorescence Resonance Energy Transfer/methods ; Fluorescent Dyes/chemistry ; Influenza A virus/isolation & purification ; Influenza A virus/metabolism ; Limit of Detection ; Membrane Fusion/drug effects ; Membranes, Artificial ; Nanoparticles/chemistry ; Peptides/chemical synthesis ; Peptides/chemistry ; Peptides/metabolism ; Polyethylene Glycols/chemical synthesis ; Polyethylene Glycols/chemistry ; Polyethylene Glycols/metabolism ; Viral Fusion Proteins/metabolism
Chemical Substances	Carbocyanines ; Fluorescent Dyes ; Membranes, Artificial ; Peptides ; Viral Fusion Proteins ; polyleucine (25248-98-0) ; Polyethylene Glycols (3WJQ0SDW1A) ; 3,3'-dioctadecylindocarbocyanine (40957-95-7) ; 3,3'-dioctadecyloxacarbocyanine (68006-80-4)
Language	English
Publishing date	2021-12-08
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2702241-9
ISSN	2050-7518 ; 2050-750X
ISSN (online)	2050-7518
ISSN	2050-750X
DOI	10.1039/d1tb01847g
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Genome-wide association study of the response of patients with diabetic macular edema to intravitreal Anti-VEGF injection.

Hong, Eun Hee / Yeom, Hoseok / Yu, Hyo Seon / Park, Jong Eun / Shin, Yong Un / Bang, So-Young / Cho, Heeyoon

Scientific reports

2022 Volume 12, Issue 1, Page(s) 22527

Abstract: Diabetic macular edema (DME), a complication of diabetes mellitus, is a leading cause of adult-onset blindness worldwide. Recently, intravitreal anti-VEGF injection has been used as a first-line treatment. This study analyzed the association between the ... ...

Abstract	Diabetic macular edema (DME), a complication of diabetes mellitus, is a leading cause of adult-onset blindness worldwide. Recently, intravitreal anti-VEGF injection has been used as a first-line treatment. This study analyzed the association between the genetic profile of patients with DME and their response to treatment. Intravitreal anti-VEGF injections were administered monthly for three months to Korean patients diagnosed with DME, who were classified into two groups depending on whether they responded to anti-VEGF therapy or showed recurrence within six months. Peripheral blood samples were used for genetic analyses. Genome-wide association analysis results sowed that the genes DIRC3 on chromosome 2 (rs16857280, p = 1.2 × 10
MeSH term(s)	Adult ; Humans ; Macular Edema/drug therapy ; Macular Edema/genetics ; Macular Edema/diagnosis ; Diabetic Retinopathy/drug therapy ; Diabetic Retinopathy/genetics ; Diabetic Retinopathy/complications ; Ranibizumab ; Angiogenesis Inhibitors/therapeutic use ; Genome-Wide Association Study ; Vascular Endothelial Growth Factor A/genetics ; Intravitreal Injections ; Tomography, Optical Coherence/adverse effects ; Retrospective Studies ; Diabetes Mellitus/drug therapy
Chemical Substances	Ranibizumab (ZL1R02VT79) ; Angiogenesis Inhibitors ; Vascular Endothelial Growth Factor A
Language	English
Publishing date	2022-12-29
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-26048-7
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: Chiral Diketopyrrolopyrrole-Based Conjugated Polymers with Intramolecular Rotation-Isomeric Conformation Asymmetry for Near-Infrared Circularly Polarized Light-Sensing Organic Phototransistors.

Han, Hyemi / Choi, Jong Ho / Ahn, Jongtae / Lee, Hanna / Choi, Changsoon / Jung, Wookjin / Yeom, Jihyeon / Hwang, Do Kyung / Sung, Bong June / Lim, Jung Ah

ACS applied materials & interfaces

2023

Abstract: Recent advances in chiral nanomaterials interacting with circularly polarized (CP) light open new expectations for optoelectronics in various research fields such as quantum- and biology-related technology. To fully utilize the great potential of chiral ... ...

Abstract	Recent advances in chiral nanomaterials interacting with circularly polarized (CP) light open new expectations for optoelectronics in various research fields such as quantum- and biology-related technology. To fully utilize the great potential of chiral optoelectronic devices, the development of chiral optoelectronic devices that function in the near-infrared (NIR) region is required. Herein, we demonstrate a NIR-absorbing, chiroptical, low-band-gap polymer semiconductor for high-performance NIR CP light phototransistors. A newly synthesized diketopyrrolopyrrole-based donor-acceptor-type chiral π-conjugated polymer with an asymmetric alkyl side chain exhibits strong chiroptical activity in a wavelength range of 700-1000 nm. We found that the attachment of an enantiomerically pure stereogenic alkyl substituent to the π-conjugated chromophore backbone led to strong chiroptical activity through symmetry breaking of the π-conjugation of the backbone in a molecular rotational motion while maintaining the coplanar backbone conformation for efficient charge transport. The NIR CP light-sensing phototransistors based on a chiral π-conjugated polymer photoactive single channel layer exhibit a high photoresponsivity of 26 A W
Language	English
Publishing date	2023-11-30
Publishing country	United States
Document type	Journal Article
ISSN	1944-8252
ISSN (online)	1944-8252
DOI	10.1021/acsami.3c13976
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

More links

Kategorien

Order via subito

Inter-library loan at ZB MED