Le poisson dans l'alimentation du vietnamien. 2. Conserves appertisées, farines et saucisses de poisson

cf. fichier PDF de l'article

Levels of polychlorinated dibenzodioxins and polychlorinated dibenzofurans in breast milk samples from three dioxin-contaminated hotspots of Vietnam

We determined polychlorinated dibenzodioxin (PCDD) and polychlorinated dibenzofuran (PCDF) levels in breast milk of 143 primiparae living around the three most dioxin-contaminated areas of Vietnam. The women sampled lived in the vicinity of former U.S. air bases at Bien Hoa (n. =. 51), Phu Cat (n. =. 23), and Da Nang (n. =. 69), which are known as dioxin hotspots. Breast milk samples from Bien Hoa City, where residents live very close to the air base, showed high levels of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), with 18% of the samples containing >. 5. pg. TCDD/g lipid. However, Phu Cat residents lived far from the air base and their samples showed lower TCDD levels, with none containing >. 5. pg. TCDD/g lipid. In Da Nang, TCDD levels in mothers from Thanh Khe (close to the air base, n. =. 43) were significantly higher than those in mothers from Son Tra (far from the air base, n. =. 26), but not other PCDD and PCDF (PCDD/F) congeners. Although TCDD levels in Bien Hoa were the highest among these hotspots, levels of other PCDD/F congeners as well as the geometric mean concentration of total PCDD/F level in Bien Hoa (9.3. pg toxic equivalents [TEQ]/g lipid) were significantly lower than the level observed in Phu Cat (14.1. pg. TEQ/g lipid), Thanh Khe (14.3. pg. TEQ/g lipid), and Son Tra (13.9. pg. TEQ/g lipid). Our findings indicated that residents living close to former U.S. air bases were exposed to elevated levels of TCDD, but not of other PCDD/F congeners

Monitoring Vegetation Cover Changes by Sentinel-1 Radar Images Using Random Forest Classification Method

Vietnam is an Asian country with hot and humid tropical climate throughout the year. Forests account for more than 40% of the total land area and have a very rich and diverse vegetation. Monitoring the changes in the vegetation cover is obviously important yet challenging, considering such large varying areas and climatic conditions. A traditional remote sensing technique to monitor the vegetation cover involves the use of optical satellite images. However, in presence of the cloud cover, the analyses done using optical satellite image are not reliable. In such a scenario, radar images are a useful alternative due to the ability of radar pulses in penetrating through the clouds, regardless of day or night. In this study, we have used multi temporal C band satellite images to monitor vegetation cover changes for an area in Dau Tieng and Ben Cat districts of Binh Duong province, Mekong Delta, Vietnam. With a collection of 46 images between March 2015 and February 2017, the changes of five land cover types including vegetation loss and replanting in 2017 were analyzed by selecting two cases, using 9 images in the dry season of 3 years 2015, 2016 and 2017 and using all of 46 images to conduct Random Forest classifier with 100, 200, 300 and 500 trees respectively. The result in which the model with nine images and 300 trees gave the best accuracy with an overall accuracy of 98.4% and a Kappa of 0.97. The results demonstrated that using VH polarization, Sentinel-1 gives quite a good accuracy for vegetation cover change. Therefore, Sentinel-1 can also be used to generate reliable land cover maps suitable for different applications

Opracowanie zestawu kryteriów ustalania priorytetów środków redukcji emisji gazów cieplarnianych w sektorze metalurgicznym

Prioritizing climate change mitigation measures could help to identify most feasible or most nationally appropriated mitigation actions. This process can also provide important inputs for the development of national climate change strategies or policies. The paper applies Delphi method to prioritize criteria for potential climate change mitigation technology in the metallurgical sector in Vietnam. The consultation process has been done with ten experts in only two cycle to reach Kendall (W) value over 0.5. Then, 11 out of 21 criteria have been selected for Multi-Criteria Decision Analysis (MCDA) in prioritizing mitigation options in iron and steel, lead, zinc, tin and aluminium productions. Mitigation options with highest scores will be proposed for mitigation target of the metallurgical sector which could be inputs for NDC of industrial sector. The selected criteria include 01 indicator in emission reduction (GPT1), 01 indicator in environmental impacts (MT1), 01 indicators in social impacts (XH3), 02 indicators in economic impacts (KT1, KT2), 02 indicators in sustainable development impacts (PTBV1, PTBV2) and 04 indicators in MRV (MRV1, MRV2, MRV3, MRV4).Nadanie priorytetu środkom łagodzenia zmiany klimatu może pomóc w zidentyfikowaniu najbardziej wykonalnych lub najbardziej odpowiednich na szczeblu krajowym działań łagodzących. Proces ten może również stanowić ważny wkład w rozwój krajowych strategii lub polityk w zakresie zmian klimatu. W artykule, zastosowano metodę Delphi do priorytetyzacji kryteriów dotyczących potencjalnej technologii łagodzenia zmian klimatycznych w sektorze metalurgicznym w Wietnamie. Proces konsultacji został przeprowadzony z 10 ekspertami w zaledwie dwóch cyklach, aby osiągnąć wartość Kendalla (W) powyżej 0,5. Następnie 11 z 21 kryteriów zostało wybranych do analizy decyzji wielokryterialnej (MCDA) w ustalaniu priorytetów opcji łagodzenia w produkcji żelaza i stali, ołowiu, cynku, cyny i aluminium. Opcje łagodzenia z najwyższymi wynikami zostaną zaproponowane jako cel łagodzenia dla sektora metalurgicznego, który mógłby stanowić wkład dla NDC sektora przemysłowego. Wybrane kryteria obejmują 01 wskaźnik redukcji emisji (GPT1), 01 wskaźnik wpływu na środowisko (MT1), 01 wskaźniki wpływu społecznego (XH3), 02 wskaźniki skutków gospodarczych (KT1, KT2), 02 wskaźniki wpływu na zrównoważony rozwój (PTBV1 , PTBV2) i 04 wskaźników w MRV (MRV1, MRV2, MRV3, MRV4)

Innovative Integration of Butina Clustering with Ensemble Learning Techniques for the Refined Pharmacophore Modeling of Apelin Receptor Agonists: A High-Impact Computational Approach

3D pharmacophore models describe the ligand’s chemical interactions in their bioactive conformation. They offer a simple but sophisticated approach to decipher the chemically encoded ligand information, making them a valuable tool in Drug Design. Our research summarized the key studies for applying 3D pharmacophore models in virtual screening for APJ receptor agonists. Recent advances in clustering algorithms and ensemble methods have enabled classical pharmacophore modeling to evolve into more flexible and knowledge-driven techniques. Butina clustering categorizes molecules based on their structural similarity (indicated by the Tanimoto coefficient) to create a structurally diverse training dataset. The ensemble learning method combines various individual pharmacophore models into a set of pharmacophore models for pharmacophore space optimization in virtual screening. This approach was evaluated on Apelin datasets and afforded good screening performance, as proven by receiver operating characteristic, enrichment factor, Güner-Henry score, and F-measure. Although one of the high-scoring models achieved statistically superior results in each dataset, the ensemble learning method including Voting and Stacking method balanced the shortcomings of each model and passed with close performance measures

Preparation and Biological Properties of Platinum(II) Complex-Loaded Copolymer PLA-TPGS

A new nanodrug system containing bis(menthone thiosemicarbazonato) Platinum(II) complex (Pt-thiomen) encapsulated with the block copolymers polylactide-d-α-tocopheryl polyethylene glycol 1000 succinate (PLA-TPGS) was prepared by a modified solvent extraction/evaporation technique. The characteristics of the nanoparticles including surface morphology, size distribution, structure, and biological activities such as antimicrobial and cytotoxic activities were in vitro investigated. The spherical nanoparticles were around 50 nm in size with core-shell structure and narrow-size distribution. The encapsulated Pt-thiomen can avoid interaction with proteins in the blood plasma. The inhibitory activity of Pt-thiomen-loaded PLA-TPGS nanoparticles on the growth of some bacteria, fungi, and Hep-G2 cells suggests a possibility of developing PLA-TPGS-Pt-thiomen nanoparticles as one of the potential chemotherapeutic agents

Medication Adherence of Vietnamese Outpatients with Chronic Diseases during the COVID-19 Pandemic

The purpose of this study was to determine the medication adherence of outpatients with chronic diseases and the association between both patient attitudes and preventive practices regarding COVID-19 and their medication adherence. We performed a cross-sectional study in Vietnam. Medication adherence was determined using the translated and validated Vietnamese version of the General Medication Adherence Scale (GMAS). Patient attitudes and preventive practices regarding COVID-19 were measured using the 5K message of the Vietnam Ministry of Health (facemasks, disinfection, distance, no gatherings, health declarations). The associations between patient characteristics and medication adherence were determined by multivariable regression. The study included 1852 outpatients, and 57.6% of the patients adhered to their medications. Patients who recognized the pandemic’s obstruction of medical follow-ups (OR = 1.771; 95%CI = 1.461–2.147; p < 0.001), who applied ≥2 preventive methods (OR = 1.422; 95%CI = 1.173–1.725; p = 0.001), who were employed (OR = 1.677; 95%CI = 1.251–2.248; p = 0.001), who were living in urban areas (OR = 1.336; 95%CI = 1.090–1.637; p = 0.005,) who possessed higher education levels (OR = 1.313; 95%CI = 1.059–1.629; p = 0.013), or who had ≤2 comorbidities (OR = 1.293; 95%CI = 1.044–1.600; p = 0.019) were more likely to adhere to their medications. The adherence percentage for outpatients with chronic diseases was quite low during the pandemic. Patients who did not recognize the COVID-19 pandemic’s obstruction of medical follow-ups or who had poor preventive practices were less likely to adhere to medications. Healthcare providers should pay more attention to these groups to achieve desired treatment outcomes

Trace Metal Element Analysis in Some Seafood in the Coastal Zone of the Red River (Ba Lat Estuary, Vietnam) by Green Sample Preparation and Inductively Coupled Plasma-Mass Spectrometry (ICP-MS)

Fisheries and aquaculture production in the coastal zone of Vietnam contribute significantly to the national economy. However, seafood quality and safety, especially in terms of metal contents, are of increasing concern, for both domestic and international markets. This paper presents the results of an investigation in some trace metal elements (iron (Fe), zinc (Zn), manganese (Mn), copper (Cu), arsenic (As), cadmium (Cd), and mercury (Hg)) concentrations in some fishes, crustaceans, and molluscs in the coastal zone of the Red River (in the Ba Lat estuary in Thai Binh and Nam Dinh provinces) during four sampling campaigns in 2020. All samples were treated by a green sample preparation using microwave digestion and then analyzed by inductively coupled plasma-mass spectrometry (ICP-MS). The results showed that the trace metal element concentrations in fish, crustacean, and mollusc samples decreased in the following order: Fe > Zn > Mn > Cu > As > Cd ∼ Hg. In more details, the ranges of trace metal elements in seafood samples were 13.13–202.73; 7.63–82.71; 0.48–22.73; 0.72–15.58; 0.18–5.12; 0.001–1.114; and 0.001–0.923 mg·kg−1 for Fe, Zn, Mn, Cu, As, Cd, and Hg, respectively. The research results contribute to the dataset of the seafood (both fishery and aquacultural seafood) quality in the Red River coastal zone. Although the mean values of different trace metal elements observed in this study were lower than the allowed values of Vietnam’s or European’s threshold for food safety, some high concentrations were detected. The survey results suggest the need to expand the monitoring scope (frequency of monitoring, number of samples, and observed variables) for obtaining a fully comprehensive assessment of seafood quality in this region. Our results also indicate that it is necessary to manage water quality in coastal areas, especially where aquaculture activities are carried out