The objectives of this study were to investigate the morphological characteristics, grain yield, and anthocyanin content of 36 black rice accessions that were collected from different locations in Vietnam. The results showed that the black rice accessions varied in growth duration (130 to 150 days), plant height (91.5 to 143.6 cm), morphological characteristics, and yield components. Grain yield of the black rice accessions ranged from 2.8 to 8.7 tons ha-1. The black rice accessions were classified into four groups based on their anthocyanin content: group I > 0.1% anthocyanin, group II 0.05%-0.1%, group III 0.001%-0.05%, and group IV < 0.001%. BR7 had the highest anthocyanin content (0.1438%), followed by BR5 (0.1317%). Anthocyanins with the strongest antioxidant activities were extracted from BR8, BR35, BR6, BR27, BR30, BR32, BR18, BR17, BR19, and BR1 with IC50 values less than 2 µg mL-1. Seven promising black rice accessions, namely BR1, BR14, BR17, BR25, BR30, BR34, and BR35, were selected for further research based on their high anthocyanin contents, and good grain yield and yield components.

Objective: This study aimed to measure nurses' self-perceived social support and identify associated factors at one Vietnamese provincial hospital in 2020. Methods: A cross-sectional study was implemented among clinical nurses of 22 treatment wards working at the hospital for over six months. Two hundred sixty-one nurses returned the self-reported questionnaires containing the Vietnamese 22-item Job Content Questionnaire and set of questions on personal and work characteristics. Descriptive analysis (frequency, mean, standard deviation), crude analysis (t-test and ANOVA), and multivariate linear regressions were conducted to describe the social support (i.e., supervisor' and co-worker's supports) and their associations with other factors at the significant level p less than 0.05. Results: The study achieved a relatively high response rate (82.1%). Social supports, including supervisor and co-worker's supports, were 24.04, 11.89, and 12.16, respectively. Multivariate Linear regressions showed an inverse association of job demand and positive correlation of job control with both supervisor and co-workers' support among participating nurses (p<0.01). Older nurses, nurses with fewer years of work experience or fixed-term contract reported more perceived support from their superiors (p<0.05). Conclusions: Nurses with different characteristics reported dissimilar perceived levels of social supports at work. Head nurses responsible for nursing management should encourage a supportive working environment where nurses can feel comfortable asking for and receive assistance from others. In addition, appropriate training would be helpful to increase nurses' recognition and usage of available resources at work.

Acrylamide is a toxic chemical formed in high temperature-processed foods (e.g., Potato snacks, instant noodle, etc.). Previous studied showed that acrylamide is a carcinogenic&nbsp;agent in human and animals. Evaluation of acrylamide contents in some processed starchy&nbsp;foods has been performed in order to investigate the presence of acrylamide in foods in&nbsp;Hanoi. This study is to validate a LC-MS/MS method for determination of acrylamide in&nbsp;food and to determine the acrylamide content in some processed starchy foods available in&nbsp;Hanoi, Vietnam. Samples of potato chips collected from food shops in Hanoi were tested.&nbsp;The acrylamide content was determined by high performance liquid chromatography-mass&nbsp;spectrometry. The method was validated for accuracy, precision, linearity, and recovery.&nbsp;The assay was linear over the entire range of calibration standards i.e., a concentration&nbsp;range from 1 ng/mL to 2500 ng/mL (r2 &gt;0.996). The precision and recoveries were obtained&nbsp;based on the AOAC guidelines. The lower limit of quantification of the analytical method&nbsp;of acrylamide was 24,82 ng/mL. The validated method was successfully applied to determine acrylamide in 28 samples of potato snacks. The content of acrylamide ranged from&nbsp;58.0 to 1829.6 mg/kg. Acrylamide was detected in all samples, nevertheless, the acrylamide&nbsp;content was lower than that from other studies published in 2009 in Europe. &nbsp;

&lt;p&gt;Selection of a suitable Global Climate Model (GCM) in hydrological research for basin-scale of monsoon affected regions under future climate projection scenarios is a great necessity. This study comprehensively evaluated the suitability of 25 available GCMs issued of &amp;#160;Coupled Model Intercomparison Project&amp;#160;6 (CMIP6) to choose the best performing GCMs in precipitation simulating skill over the whole main River Basin System in South Korea for the historical period of 1973&amp;#8211;2014. Bilinear interpolation method was used for mapping the grid resolution of the simulated GCMs precipitation and observed precipitation with a 0.125&lt;sup&gt;0&lt;/sup&gt; x 0.125&lt;sup&gt;0&lt;/sup&gt; resolution. Where, the observed monthly precipitation at 56 automated weather stations from 1973 to 2014 were derived from the Korea Meteorological Administration (KMA). Multi-Criteria Decision Making (MCDM) approach based on four spatial metrics, Cramer&amp;#8217;s V, Goodman-Kruskal (GK) Lambda, Mapcurves and TheilU were proposed to compare the simulated GCMs precipitation with the observed precipitation. To calculate the overall ranking of the GCMs and identify the best performing GCMs, this study applied Jenks Natural Break classification based on the Compromise Programming index. The results indicated that: 1) The GCMs performance was different with different spatial indices with the most suitable of GCMs ranking for each watershed. 2) The best performing GCMs well simulated the annual mean precipitation with a bias of less than 15% for southwestern watersheds and higher biases (30-50%) for remaining watersheds. 3) Majority of CMIP6 GCMs could be capture trends and the spatial distribution of annual, seasonal precipitation over South Korea. However, the result was also found that most GCMs underestimated summer precipitation and overestimated spring precipitation. Therefore, the selected GCMs with corrected biases can be usefully employed for analyzing future changes of hydrological pattern associated with climate change projections.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords: &lt;/strong&gt;Global Climate Models (GCMs), CMIP6, Bilinear interpolation, Multi-Criteria Decision Making, Jenks Natural Break classification.&lt;/p&gt;