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Article ; Online: Lattice dynamics and self-trapped excitons in the Cs

Hoang, Manh Ha / Le, Duy Manh / Le, Anh Thi / Nguyen, Quoc Khanh / Do, T Anh Thu / Ho, Truong Giang / Man, Minh Tan

Journal of physics. Condensed matter : an Institute of Physics journal

2024 Volume 36, Issue 28

Abstract: Our study delved into the detailed investigation of ... ...

Abstract	Our study delved into the detailed investigation of Cs
Language	English
Publishing date	2024-04-15
Publishing country	England
Document type	Journal Article
ZDB-ID	1472968-4
ISSN	1361-648X ; 0953-8984
ISSN (online)	1361-648X
ISSN	0953-8984
DOI	10.1088/1361-648X/ad3ac4
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Article ; Online: Continuity of primary care for type 2 diabetes and hypertension and its association with health outcomes and disease control: insights from Central Vietnam.

Le Ho Thi, Quynh-Anh / Pype, Peter / Wens, Johan / Nguyen Vu Quoc, Huy / Derese, Anselme / Peersman, Wim / Bui, Nhon / Nguyen Thi Thanh, Huyen / Nguyen Minh, Tam

BMC public health

2024 Volume 24, Issue 1, Page(s) 34

Abstract: ... sample t-test, and bivariate and multivariable logistic regression analysis were performed to examine ...

Abstract	Background: Vietnam is undergoing a rapid epidemiological transition with a considerable burden of non-communicable diseases (NCDs), especially hypertension and diabetes (T2DM). Continuity of care (COC) is widely acknowledged as a benchmark for an efficient health system. This study aimed to determine the COC level for hypertension and T2DM within and across care levels and to investigate its associations with health outcomes and disease control. Methods: A cross-sectional study was conducted on 602 people with T2DM and/or hypertension managed in primary care settings. We utilized both the Nijmegen continuity of care questionnaire (NCQ) and the Bice - Boxerman continuity of care index (COCI) to comprehensively measure three domains of COC: interpersonal, informational, and management continuity. ANOVA, paired-sample t-test, and bivariate and multivariable logistic regression analysis were performed to examine the predictors of COC. Results: Mean values of COC indices were: NCQ: 3.59 and COCI: 0.77. The proportion of people with low NCQ levels was 68.8%, and that with low COCI levels was 47.3%. Primary care offered higher informational continuity than specialists (p < 0.01); management continuity was higher within the primary care team than between primary and specialist care (p < 0.001). Gender, living areas, hospital admission and emergency department encounters, frequency of health visits, disease duration, blood pressure and blood glucose levels, and disease control were demonstrated to be statistically associated with higher levels of COC. Conclusions: Continuity of primary care is not sufficiently achieved for hypertension and diabetes mellitus in Vietnam. Strengthening robust primary care services, improving the collaboration between healthcare providers through multidisciplinary team-based care and integrated care approach, and promoting patient education programs and shared decision-making interventions are priorities to improve COC for chronic care.
MeSH term(s)	Humans ; Diabetes Mellitus, Type 2/epidemiology ; Diabetes Mellitus, Type 2/therapy ; Cross-Sectional Studies ; Vietnam/epidemiology ; Continuity of Patient Care ; Hypertension/epidemiology ; Hypertension/therapy ; Outcome Assessment, Health Care
Language	English
Publishing date	2024-01-02
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2041338-5
ISSN	1471-2458 ; 1471-2458
ISSN (online)	1471-2458
ISSN	1471-2458
DOI	10.1186/s12889-023-17522-6
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Article ; Online: Differences between surfactant-free Au@Ag and CTAB-stabilized Au@Ag star-like nanoparticles in the preparation of nanoarrays to improve their surface-enhanced Raman scattering (SERS) performance.

Van Vu, Sy / Nguyen, Anh-Thu / Cao Tran, Anh-Thi / Thi Le, Viet-Ha / Lo, Tien Nu Hoang / Ho, Thi H / Pham, Nguyet N T / Park, In / Vo, Khuong Quoc

Nanoscale advances

2023 Volume 5, Issue 20, Page(s) 5543–5561

Abstract: In this study, we assessed the controlled synthesis and efficacy of surface-enhanced Raman scattering (SERS) on two distinct types of star-like Au@Ag core-shell nanoarrays. These nanoarrays were designed based on gold nanostars (AuNSs), which were ... ...

Abstract	In this study, we assessed the controlled synthesis and efficacy of surface-enhanced Raman scattering (SERS) on two distinct types of star-like Au@Ag core-shell nanoarrays. These nanoarrays were designed based on gold nanostars (AuNSs), which were synthesized with and without CTAB surfactant (AuNSs-CTAB and AuNSs-FS, respectively). The AuNS-FS nanoparticles were synthesized
Language	English
Publishing date	2023-09-04
Publishing country	England
Document type	Journal Article
ISSN	2516-0230
ISSN (online)	2516-0230
DOI	10.1039/d3na00483j
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Article ; Online: Patterns of Recurrence After Poor Response to Neoadjuvant Chemotherapy in Gastric Cancer and the Role for Adjuvant Radiation.

Hui, Caressa / Ewongwo, Agnes / Lau, Brianna / Fisher, George / Delitto, Daniel / Poultsides, George / Ho, Quoc-Anh / Rahimy, Elham / Pollom, Erqi / Chang, Daniel T / Vitzthum, Lucas K

Annals of surgical oncology

2023 Volume 31, Issue 1, Page(s) 413–420

Abstract: Background: Improved treatment strategies are needed for patients with locally advanced gastric cancer with poor response to neoadjuvant chemotherapy. We aimed to describe patterns of failure for patients with no or partial response (NR, PR) to ... ...

Abstract	Background: Improved treatment strategies are needed for patients with locally advanced gastric cancer with poor response to neoadjuvant chemotherapy. We aimed to describe patterns of failure for patients with no or partial response (NR, PR) to preoperative chemotherapy. Patients and methods: We analyzed patients with locally advanced gastric cancer treated from 2008 to 2022 with preoperative chemotherapy followed by surgery with D2 resection. We excluded patients who received radiation. Cumulative incidence of locoregional failure (LRF) and distant metastases (DM) were calculated. For patients with recurrent abdominal disease, hypothetical radiation clinical treatment volumes (CTV) were contoured on postoperative scans and compared with patterns of recurrence. Results: A total of 60 patients were identified. The most used preoperative chemotherapy was FLOT (38.6%), followed by FOLFOX (30%) and ECF/ECX/EOX (23.3%). Four (6.7%), 40 (66.7%), and 9 patients (15%) had a complete pathologic response (CR), PR, and NR to neoadjuvant therapy, respectively. Among patients without a CR, 3-year overall and progression-free survival rates were 62.3% (95% CI 48-76.6%) and 51.3% (95% CI 36.9-65.7%), respectively. Three-year cumulative incidence of LRF and DM were 8.4% (95% CI 0.4-16.4%) and 41.0% (95% CI 26.3-55.4%), respectively. Absolute rates of patients having the first site of recurrence encompassed by a postoperative radiation CTV was 2.0% for patients without a CR and 0% for patients with NR. Conclusions: Patients with locally advanced gastric cancer with less than a CR to chemotherapy have poor outcomes due to high rates of DM. Adjuvant locoregional therapy such as radiation is unlikely to affect survival.
MeSH term(s)	Humans ; Stomach Neoplasms/pathology ; Neoadjuvant Therapy ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use ; Combined Modality Therapy ; Radiotherapy, Adjuvant ; Chemotherapy, Adjuvant ; Neoplasm Staging
Language	English
Publishing date	2023-09-27
Publishing country	United States
Document type	Journal Article
ZDB-ID	1200469-8
ISSN	1534-4681 ; 1068-9265
ISSN (online)	1534-4681
ISSN	1068-9265
DOI	10.1245/s10434-023-14350-1
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Article ; Online: The First Report of

Dang-Vu, Thong / Lam-Quoc, Dung / Duong-Minh, Ngoc / Vu, Ha / Nguyen-Ho, Lam / Truong-Thien, Phu / Nguyen-Dang, Khoa

European journal of case reports in internal medicine

2024 Volume 11, Issue 3, Page(s) 4335

Abstract: Infection caused by : Learning points: Further research ... ...

Abstract	Infection caused by Learning points: Further research on
Language	English
Publishing date	2024-02-12
Publishing country	Italy
Document type	Journal Article
ISSN	2284-2594
ISSN (online)	2284-2594
DOI	10.12890/2024_004335
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Article ; Online: Volumetric evaluation of fat resorption after breast lipofilling.

Ho Quoc, C / Taupin, T / Guérin, N / Delay, E

Annales de chirurgie plastique et esthetique

2015 Volume 60, Issue 6, Page(s) 495–499

Abstract: Introduction: The fat transfer or the lipofilling is a technique that had a major impact on the breast surgery results. We have been using this technique since 1998 as an adjuvant in breast reconstruction. The transferred fat is partially resorbed in ... ...

Abstract	Introduction: The fat transfer or the lipofilling is a technique that had a major impact on the breast surgery results. We have been using this technique since 1998 as an adjuvant in breast reconstruction. The transferred fat is partially resorbed in the first three months after fat grafting. Literature shows that fat resorption varies from 30 to 80% and the experimental studies register a variation between 50 and 90%. The difficulty of the lipomodeling consists in anticipating the fat resorption rate in order to obtain breast symmetry. The purpose of this article is to evaluate the resorption rate of the transferred fat in the reconstructed breast by means of volumetric imaging 3 months after fat grafting. Material and methods: A prospective study was undertaken including breast reconstructions with total autologous latissimus dorsi. All the surgical procedures have been done by the same surgeon (1st author). It focused on the second stage of breast reconstruction: the lipofilling. We registered the average harvested volumes, the volumes obtained after centrifugation and the transferred volumes for every reconstructed breast. The intramuscular volume in the reconstructed breast was measured by volumetric imaging on the third day after lipofilling (D3) and three months after lipofilling (M3). The volumetry was performed by using an after treatment console SIEMENS (SOMATOM definition AS 264 barettes). The average intramuscular volume was registered at D3 and M3. The average volume difference was calculated in order to obtain the exact resorption rate. Results:* This prospective study was undertaken on 32 reconstructed breasts by total autologous latissimus dorsi flap. The average age was 52 years, the average BMI was 24.7 kg/m(2). The average harvested fat volume for the breast lipofilling was 560 cc and the volume obtained after centrifugation was evaluated at about 371 cc, the average fat volume transferred being 291 cc. The volumetric study showed that intramuscular volume at D3 was measured at 284 cc and at M3 about 223 cc, of a resorption intramuscular rate of 21.5%. Conclusion: In our study, the rate of resorption of the fat transferred to the muscle in the reconstructed breast was measured at 21.5%. The low resorption rate found in our study, lower than those in the literature, sustains the supposition that the muscle is an excellent receiving matrix for the fat tissue. In order to obtain this percentage, a learning curve is necessary. Once acquired, this technique produces a major improvement of the breast surgery results.
MeSH term(s)	Adipose Tissue/diagnostic imaging ; Adipose Tissue/transplantation ; Adult ; Aged ; Breast/diagnostic imaging ; Breast/surgery ; Female ; Humans ; Mammaplasty ; Middle Aged ; Prospective Studies ; Superficial Back Muscles/transplantation ; Transplantation, Autologous
Language	English
Publishing date	2015-12
Publishing country	France
Document type	Journal Article
ZDB-ID	605676-3
ISSN	1768-319X ; 0294-1260
ISSN (online)	1768-319X
ISSN	0294-1260
DOI	10.1016/j.anplas.2015.06.011
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Article ; Online: EgoActive: Integrated Wireless Wearable Sensors for Capturing Infant Egocentric Auditory-Visual Statistics and Autonomic Nervous System Function 'in the Wild'.

Geangu, Elena / Smith, William A P / Mason, Harry T / Martinez-Cedillo, Astrid Priscilla / Hunter, David / Knight, Marina I / Liang, Haipeng / Del Carmen Garcia de Soria Bazan, Maria / Tse, Zion Tsz Ho / Rowland, Thomas / Corpuz, Dom / Hunter, Josh / Singh, Nishant / Vuong, Quoc C / Abdelgayed, Mona Ragab Sayed / Mullineaux, David R / Smith, Stephen / Muller, Bruce R

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 18

Abstract: There have been sustained efforts toward using naturalistic methods in developmental science to measure infant behaviors in the real world from an egocentric perspective because statistical regularities in the environment can shape and be shaped by the ... ...

Abstract	There have been sustained efforts toward using naturalistic methods in developmental science to measure infant behaviors in the real world from an egocentric perspective because statistical regularities in the environment can shape and be shaped by the developing infant. However, there is no user-friendly and unobtrusive technology to densely and reliably sample life in the wild. To address this gap, we present the design, implementation and validation of the EgoActive platform, which addresses limitations of existing wearable technologies for developmental research. EgoActive records the active infants' egocentric perspective of the world via a miniature wireless head-mounted camera concurrently with their physiological responses to this input via a lightweight, wireless ECG/acceleration sensor. We also provide software tools to facilitate data analyses. Our validation studies showed that the cameras and body sensors performed well. Families also reported that the platform was comfortable, easy to use and operate, and did not interfere with daily activities. The synchronized multimodal data from the EgoActive platform can help tease apart complex processes that are important for child development to further our understanding of areas ranging from executive function to emotion processing and social learning.
MeSH term(s)	Infant ; Child ; Humans ; Wearable Electronic Devices ; Software ; Technology ; Autonomic Nervous System
Language	English
Publishing date	2023-09-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23187930
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Article ; Online: Delineating the Relationship Between Leptin, Fat Mass, and Bone Mineral Density: A Mediation Analysis.

Ho-Pham, Lan T / Lai, Thai Q / Nguyen, Uyen D T / Bui, Quoc V / Nguyen, Tuan V

Calcified tissue international

2017 Volume 100, Issue 1, Page(s) 13–19

Abstract: ... from Ho Chi Minh City (Vietnam). BMD at the femoral neck (FN), lumbar spine (LS), and whole body (WB) was ...

Abstract	To test the hypothesis that the relationship between fat mass (FM) and bone mineral density (BMD) is mediated by leptin. The study involved 611 individuals aged 20-89 years who were randomly sampled from Ho Chi Minh City (Vietnam). BMD at the femoral neck (FN), lumbar spine (LS), and whole body (WB) was measured by DXA. Lean mass and FM were derived from the WB DXA scan. Leptin was measured by ELISA (DRG Diagnostics, Germany). The regression method was used to partition the variance of leptin and FM on BMD. The mediated effect of leptin was analyzed by the mediation analysis model. In the multiple linear regression, leptin, FM, and age collectively accounted for ~34 % variation in FNBMD in men and women. However, only 0.5 % of this explained variance was due to leptin. Of the total effect of FM on FNBMD, the mediated effect of leptin accounted for 6.1 % (P = 0.38) in men and 7.1 % (P = 0.99) in women. The same trend was observed for LS and WBBMD. These data suggest that greater FM is associated with greater BMD, but the association is not mediated by leptin, and that leptin has a non-significant influence on bone mass.
Language	English
Publishing date	2017-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	304266-2
ISSN	1432-0827 ; 0944-0747 ; 0008-0594 ; 0171-967X
ISSN (online)	1432-0827
ISSN	0944-0747 ; 0008-0594 ; 0171-967X
DOI	10.1007/s00223-016-0196-5
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Article: The Role of N-Terminal-Pro-B-Type Natriuretic Peptide (NT-proBNP) and High-Sensitivity Troponin T (Hs-Troponin T) in the Evaluation of the Syntax Score in Patients With Acute Coronary Syndrome.

Ho, Anh Binh / Tran, Quoc Bao

Cureus

2024 Volume 16, Issue 3, Page(s) e55653

Abstract: ... Troponin T (hs-Troponin T) has a very high prognostic value for the degree of coronary artery damage ... small vessels. Therefore, we conducted this study to understand the role of NT-proBNP and hs-troponin T ... 10.61 years. The concentrations of NT-proBNP and hs-Troponin T in our study were 1115.9 ± 1623.3 pg ...

Abstract	Background N-terminal-pro-B-type natriuretic peptide (NT-proBNP) is used to diagnose acute and chronic heart failure, but many studies show a strong and independent correlation between NT-proBNP serum levels and the severity and number of coronary artery damage. Meanwhile, the serum of high-sensitivity Troponin T (hs-Troponin T) has a very high prognostic value for the degree of coronary artery damage in patients with acute coronary syndrome. The SYNTAX score was developed to better predict the risks of percutaneous or surgical revascularization by considering the functional impact of the coronary circulation with all of its anatomic components, such as the presence of bifurcations, total occlusions, thrombus, calcification, and small vessels. Therefore, we conducted this study to understand the role of NT-proBNP and hs-troponin T in SYNTAX score evaluation in patients with acute coronary syndrome. Methodology A cross-sectional descriptive study of 86 patients diagnosed with acute coronary syndrome with indications for coronary angiography and intervention in the Department of Emergency and Interventional Cardiology, Cardiovascular Center, Hue Central Hospital, was conducted from June 2020 to May 2022. Results The mean age was 66.94 ± 10.61 years. The concentrations of NT-proBNP and hs-Troponin T in our study were 1115.9 ± 1623.3 pg/mL and 0.86 ± 1.55 ng/mL, respectively. The mean SYNTAX score in the study was 16.5 ± 7.5. There was a positive moderate correlation between the mean levels of NT-proBNP and the degree of coronary artery damage, as indicated by the SYNTAX score (
Language	English
Publishing date	2024-03-06
Publishing country	United States
Document type	Journal Article
ZDB-ID	2747273-5
ISSN	2168-8184
ISSN	2168-8184
DOI	10.7759/cureus.55653
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Article: Predicting Antibiotic Resistance in ICUs Patients by Applying Machine Learning in Vietnam.

Tran Quoc, Viet / Nguyen Thi Ngoc, Dung / Nguyen Hoang, Trung / Vu Thi, Hoa / Tong Duc, Minh / Do Pham Nguyet, Thanh / Nguyen Van, Thanh / Ho Ngoc, Diep / Vu Son, Giang / Bui Duc, Thanh

Infection and drug resistance

2023 Volume 16, Page(s) 5535–5546

Abstract: Introduction: Artificial Intelligence (AI) and machine learning (ML) are used extensively in HICs to detect and control antibiotic resistance (AMR) in laboratories and clinical institutions. ML is designed to predict outcome variables using an algorithm ...

Abstract	Introduction: Artificial Intelligence (AI) and machine learning (ML) are used extensively in HICs to detect and control antibiotic resistance (AMR) in laboratories and clinical institutions. ML is designed to predict outcome variables using an algorithm to enable "machines" to learn the "rules" from the data. ML is increasingly being applied in intensive care units to identify AMR and to assist empiric antibiotic therapy. This study aimed to evaluate the performance of ML models for predicting AMR bacteria and resistance to antibiotics in two Vietnamese hospitals. Patients and methods: A cross-sectional study combined with retrospective was conducted from 1st January 2020 to 30th June 2022. Five models were developed to predict antibiotic resistance of bacterial infections of ICU patients. Two datasets were prepared to predict AMR bacteria and antibiotics with ML models. The performance of the prediction models was evaluated by various indicators (sensitivity, specificity, precision, accuracy, F1-score, PRC, AuROC, and NormMCC) to determine the optimal time point for data selection. Python version 3.8 was used for statistical analyses. Results: The accuracy, F1-score, AuROC, and normMMC of LightGBM, XGBoost, and Random Forest models were higher than those of other models in both datasets. In both datasets 1 and 2, accuracy, F1-score, AuROC and normMCC of the XGBoost model were the highest among five models (from 0.890 to 1.000). Only Random Forest models had specificity scores higher than 0.850. High scores of sensitivity, accuracy, precision, F1-score, and normMCC indicated that the models were making accurate predictions for datasets 1 and 2. Conclusion: XGBoost, LightGBM, and Random Forest were the best-performed machine learning models to predict antibiotic resistance of bacterial infections of ICUs patients using the patients' EMRs.
Language	English
Publishing date	2023-08-22
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2494856-1
ISSN	1178-6973
ISSN	1178-6973
DOI	10.2147/IDR.S415885
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