Characterization of arsenic-resistant endophytic Priestia megaterium R2.5.2 isolated from ferns in an arsenic-contaminated multi-metal mine in Vietnam

Bioremediation is a biological process to remove or neutralize environmental pollutants. This study was carried out to investing at the efficacy of arsenic resistant endophytic bacteria isolated from Pteris vittata, Pityrogramma calomelanos, Blenchum orientale, and Nephrolepis exaltata, which grow in a highly arsenic (As) contamination mining site in Vietnam. Their segmented roots, stems, and leaves were homogenized separately and inoculated on LB agar plates containing 5mM As(III) and As(V). A total of 31 arsenic resistant endophytic strains were selected, in which strain R2.5.2 isolated from the root of P. calomelanos had the highest arsenic resistant capability. Strain R2.5.2 tolerated up to 320 mM and 160 mM of arsenate and arsenite, respectively. The strain developed well on a media of 0.1 5% NaCl, at 20-40ºC and pH 5 9, and actively utilized most of the sugar sources. It had a high IAA biosynthesis capacity with an average concentration of 19.14 mg/L, tolerated to 0.5-16 mM concentration of Ag+, Hg2+, Co2+, Ni2+, Cu2+, Cr4+, and reduced As(V). Based on 16s rDNA, R2.5.2 was identified as Priestia megaterium. The ars C gene coding for arsenate reductase catalyzing reduction of As(V) was successfully amplified in P. megaterium R2.5.2.  The selected strain may have potential use for bioremediation practice

RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement

Breast cancer is a significant public health concern and early detection is critical for triaging high risk patients. Sequential screening mammograms can provide important spatiotemporal information about changes in breast tissue over time. In this study, we propose a deep learning architecture called RADIFUSION that utilizes sequential mammograms and incorporates a linear image attention mechanism, radiomic features, a new gating mechanism to combine different mammographic views, and bilateral asymmetry-based finetuning for breast cancer risk assessment. We evaluate our model on a screening dataset called Cohort of Screen-Aged Women (CSAW) dataset. Based on results obtained on the independent testing set consisting of 1,749 women, our approach achieved superior performance compared to other state-of-the-art models with area under the receiver operating characteristic curves (AUCs) of 0.905, 0.872 and 0.866 in the three respective metrics of 1-year AUC, 2-year AUC and > 2-year AUC. Our study highlights the importance of incorporating various deep learning mechanisms, such as image attention, radiomic features, gating mechanism, and bilateral asymmetry-based fine-tuning, to improve the accuracy of breast cancer risk assessment. We also demonstrate that our model's performance was enhanced by leveraging spatiotemporal information from sequential mammograms. Our findings suggest that RADIFUSION can provide clinicians with a powerful tool for breast cancer risk assessment.Comment: v

Chemical profile and antibacterial activity of acetone extract of Homalomena cochinchinensis Engl. (Araceae)

Homalomena cochinchinensis Engl. is a rare species which is found in Southern China, Cambodia, Laos and Vietnam and its chemical constituents and bioactivity have not been determined yet. In this study, we identified 32 and 38 compounds in acetone extracts of H. cochinchinensis aerial part and rhizome, respectively via gas chromatography mass spectrometry (GC/MS). The main constituents of acetone extract of the aerial part were 3-((4Z,7Z)-Heptadeca-4,7-dien-1-yl)phenol (18.73%); cis-9,cis-12-Octadecadienoic acid (12.04%); linolenic acid (11.08%); n-Hexadecanoic acid (10.13%); (Z)-3-(Heptadec-10-en-1-yl)phenol (7.09%); ?-Sitosterol (5.58%) and linalool (5.56%). On the other hand, acetone extract of rhizome contained linalool (28.42%); 1,2,3-Propanetriol, 1-acetate (10.13%); 3-((4Z,7Z)-Heptadeca-4,7-dien-1-yl)phenol (5.28%); 3-Buten-2-one, 3-methyl-4-(1,3,3-trimethyl-7-oxabicyclo[4.1.0]heptan-1-yl)- (5.28%) and 4-(2,6,6-Trimethyl-cyclohex-1-enyl)-butyric acid (4.54%). Furthermore, this study has also proved the antibacterial activity of acetone extracts from the aerial part and the rhizome of this species for the first time using disk diffusion method. The results showed that the extract of the aerial part could inhibit the growth of 5 out of a total 6 bacterial strains, including Bacillus cereus, Escherichia coli, Pseudomonas aeruginosa, Salmonella enteritidis and Staphylococcus aureus; while the susceptible strains to the rhizome extract were 5 strains, such as B. cereus, E. coli, P. aeruginosa, Salmonella typhimurium and S. aureus. The findings suggest the further application of this species in pharmacology and medicine

NGHIÊN CỨU ĐA DẠNG DI TRUYỀN TẬP ĐOÀN CÁC GIỐNG SẮN (Manihot esculenta Crantz) DỰA VÀO ĐA HÌNH TRÌNH TỰ GEN GBSS1

GBSS1 gene regulates the biosynthesis of starch in cassava, Manihot esculenta Crantz, and its allelic diversity relates to variation in their starch production. In this research, genetic diversity of the recent conserved cassava germplast was estimated based on DNA polymorphism of a targeted fragment on GPSS1 gene of 14 representatives selected from 44 cassava varieties, whose genetic diversity was previously determined with SSR markers. The results from analyses of boostrap values on Neighbor Joining tree, of genetic indice from DNAsp 4.10.9 software, and of typical mutated points of 612bp-fragments on GBSS1 gene of the studied varieties revealed high genetic diversity and were in agreement to previous analyses with SSR markers. All 14 varieties were separated into 3 clusters on Neighbor Joining tree, in accordance with the variation in tuber-starch percentage and fresh root yield between groups. All three groups showed high genetic diversity with 53-99% of bootstrap values, high genetic differentiation (Kst=0.74, χ2=28; P=0.036), high number of allele (A=9) and high allenic diversity (Ad=0.91). The varieties of each group had 2-5 typical alleles. Results of this study could be applied for estimation of effectiveness of cassava germplast conservation. Together with the relevant SSR markers, the typical alleles of GBSS1 gene of different groups could be used as additional markers for selection and breeding of cassava with high starch yield in their tubers. GBSS1 (Granule bound starch synthase 1) là gen điều khiển sinh tổng hợp tinh bột ở cây sắn (Manihot esculenta Crantz) và đa dạng alen của gen phản ánh đa dạng về năng suất và chất lượng tinh bột. Trong nghiên cứu này đa dạng di truyền của tập đoàn giống sắn đang lưu giữ được đánh giá dựa vào đa hình trình tự ADN dọc đoạn đích trên gen GBSS1 của 14 giống đại diện trong 44 giống sắn đã đươc đánh giá bằng chỉ thị SSR. Kết quả phân tích dựa vào giá trị bootstrap trên cây phát sinh chủng loại theo phương pháp Neighbor Joining, dựa vào hệ số di truyền trên phần mềm DNAsp4.10.9 và dựa vào đột biến điểm dọc đoạn đích 612bp trên gen GBSS1 của các giống sắn nghiên cứu đều phản ánh đa dạng di truyền cao và phù hợp với kết quả đánh giá bằng chỉ thị SSR. Các giống sắn được phân thành 3 nhánh tách biệt trên cây phát sinh chủng loại theo tỷ lệ tinh bột và năng suất củ tươi trung bình đặc trưng của từng nhóm. Giữa các nhóm có giá trị bootstrap từ 53-99% và khác biệt di truyền tin cậy (Kst= 0,74, χ2=28; P=0,036) với số lượng alen (A=9) và đa dạng alen (Ad =0,91) cao. Mỗi nhóm sắn có 2-5 alen đặc trưng. Kết quả nghiên cứu có thể áp dụng để đánh giá hiệu quả công tác lưu giữ nguồn gen các giống sắn. Các alen đặc trưng của từng nhóm có thể sử dụng kết hợp với chỉ thị SSR liên quan làm cơ sở để chọn lọc hiệu quả các dòng sắn có tỷ lệ tinh bột cao

Teaching practicum: The impacts on classroom management skills of novice lecturers

This research investigates the perspectives of the novice lecturers in the Faculty of English Language Teacher Education (FELTE) regarding Teaching Practicum’s impacts on their classroom management skills. Using survey research, data was gathered through questionnaires distributed among the whole population of 29 participants, followed by semi-structured interviews to gain a deeper insight into participants’ experience. The study’s results showed that novice lecturers generally made considerable progress in classroom management skills, especially in attention-drawing and response encouragement, creation of a motivating environment as well as physical and emotional interactions with students. On the other hand, it was discovered that inadequate duration and inappropriate timing generally impeded novice lecturers’ gains during their Teaching Practicum. However, some challenges related to supervisor and school choice turned out to be significant factors from which participants could derive considerable benefits, which is opposed to previous research. At the end of the study, some recommendations were suggested for future research on this topic

The Impact of Social Presence in the Web Interface on Customer's Purchase Intention toward Online Stores: The Case of Vietnam

Abstract To date the expansion of information systems in the wa

An Exploration into the Benefits of the CLIP model for Lifelog Retrieval

In this paper, we attempt to fine-tune the CLIP (Contrastive Language-Image Pre-Training) model on the Lifelog Question Answering dataset (LLQA) to investigate retrieval performance of the fine-tuned model over the zero-shot baseline model. We train the model adopting a weight space ensembling approach using a modified loss function to take into account the differences in our dataset (LLQA) when compared with the dataset the CLIP model was originally pretrained on. We further evaluate our fine-tuned model using visual as well as multimodal queries on multiple retrieval tasks, demonstrating improved performance over the zero-shot baseline model

Safety and efficacy of fluoxetine on functional outcome after acute stroke (AFFINITY): a randomised, double-blind, placebo-controlled trial

Background Trials of fluoxetine for recovery after stroke report conflicting results. The Assessment oF FluoxetINe In sTroke recoverY (AFFINITY) trial aimed to show if daily oral fluoxetine for 6 months after stroke improves functional outcome in an ethnically diverse population. Methods AFFINITY was a randomised, parallel-group, double-blind, placebo-controlled trial done in 43 hospital stroke units in Australia (n=29), New Zealand (four), and Vietnam (ten). Eligible patients were adults (aged ≥18 years) with a clinical diagnosis of acute stroke in the previous 2–15 days, brain imaging consistent with ischaemic or haemorrhagic stroke, and a persisting neurological deficit that produced a modified Rankin Scale (mRS) score of 1 or more. Patients were randomly assigned 1:1 via a web-based system using a minimisation algorithm to once daily, oral fluoxetine 20 mg capsules or matching placebo for 6 months. Patients, carers, investigators, and outcome assessors were masked to the treatment allocation. The primary outcome was functional status, measured by the mRS, at 6 months. The primary analysis was an ordinal logistic regression of the mRS at 6 months, adjusted for minimisation variables. Primary and safety analyses were done according to the patient's treatment allocation. The trial is registered with the Australian New Zealand Clinical Trials Registry, ACTRN12611000774921. Findings Between Jan 11, 2013, and June 30, 2019, 1280 patients were recruited in Australia (n=532), New Zealand (n=42), and Vietnam (n=706), of whom 642 were randomly assigned to fluoxetine and 638 were randomly assigned to placebo. Mean duration of trial treatment was 167 days (SD 48·1). At 6 months, mRS data were available in 624 (97%) patients in the fluoxetine group and 632 (99%) in the placebo group. The distribution of mRS categories was similar in the fluoxetine and placebo groups (adjusted common odds ratio 0·94, 95% CI 0·76–1·15; p=0·53). Compared with patients in the placebo group, patients in the fluoxetine group had more falls (20 [3%] vs seven [1%]; p=0·018), bone fractures (19 [3%] vs six [1%]; p=0·014), and epileptic seizures (ten [2%] vs two [<1%]; p=0·038) at 6 months. Interpretation Oral fluoxetine 20 mg daily for 6 months after acute stroke did not improve functional outcome and increased the risk of falls, bone fractures, and epileptic seizures. These results do not support the use of fluoxetine to improve functional outcome after stroke

Breast cancer associations with mammographic density defined by higher pixel brightness thresholds

© 2017 Dr Tuong Linh NguyenMammographic density has conventionally been defined as the area of the mammographic image of the breast that is white or bright, and is presumed to reflect differing amounts of fibroglandular breast tissues and fatty tissue. The current gold standard measurement of this concept has been using the computer-assisted thresholding program called CUMULUS. I call these measures Cumulus. For women of the same age and body mass index (BMI), Cumulus measures of mammographic density have been well established to be a risk factor for breast cancer. Multiple case-control studies nested within cohorts of women attending mammographic screening services have found that Cumulus measures of mammographic density at baseline predict subsequent risk of developing breast cancer. I found that, by using the CUMULUS software but defining mammographic density at successively higher pixel intensity thresholds than the conventional measures (I call these measures Altocumulus and Cirrocumulus), gave better predictors of breast cancer risk. I did this for both Korean women and Australian women. I also found that, after fitting Altocumulus and/or Cirrocumulus, the Cumulus measures were no longer predictive of risk. The relative abilities of these measures to predict breast cancer were then studied: (a) for Caucasian women in Australia (Chapter 3 and Chapter 6) and for Asian women in South Korea (Chapter 4–5 and Chapter 7); (b) by breast cancer subtypes – invasive breast cancer versus DCIS (Chapter 7); (c) by modes of detection – interval cancer versus screen-detected cancer (Chapter 6); (d) for screen-film mammography (Chapter 3 and Chapter 6) and full-field digital mammography (Chapter 4, Chapter 5 and Chapter 7); (e) by study design, setting and analysis methodology – case–control (Chapter 3 to Chapter 5 and Chapter 7) and case–control nested in a cohort (Chapter 6), using conditional logistic regression (Chapter 4 to Chapter 7) and unconditional logistic regression adjusted for age-group by matching (Chapter 3); (f) by age at diagnosis – early-onset with mean less than 50 years (Chapter 3, Chapter 5 and Chapter 7) and late-onset with mean greater than 50 years (Chapter 4) or around 60 years (Chapter 6); (g) by visual measurement (Cumulus, Altocumulus and Cirrocumulus) versus automated measurement (LIBRA, Chapter 5); (h) and for digital mammography, by manufacturer – General Electric versus Hologic (Chapter 5). Typically Cirrocumulus, or a combination of Cirrocumulus and/or Altocumulus, performed best in predicting breast cancer risk, especially when measured from digital mammography in Korean women using the Hologic system. Interval cancers and ductal carcinoma in situ, which are influenced by masking, were best predicted by Cumulus as a percentage of the breast area, unadjusted for BMI. This suggests that the mammographically bright regions might be more aetiologically important for breast cancer risk, with implications for epidemiological, biological, clinical, and genomic research and translation, especially for younger women and for early–onset disease, for Western and Asian women. There are important implications: (i) using ‘mammographic density’ to better predict women, even at younger age, for interventions or target screening (personalized screening), (ii) predicting risk as well as masking from mammography, especially digital mammography, (iii) better prediction of having highly dense breast for women at high risk that improve better protocols could, should be devised