EFFECT OF DRYING METHODS ON PROXIMATE COMPOSITION AND PHYTOCHEMICAL CONTENT OF SESBANIA GRANDIFLORA LEAVES

The leaves of Sesbania grandiflora (L.) Poir, family Fabaceae, is a rich source of nutritional and phytochemical properties. This study was conducted in Yezin Agricultural University, Nay Pyi Taw, Myanmar. The treatments were fresh, shade and oven drying. The aim of the research was to investigate the influence of two drying methods (shade drying and oven drying) on proximate composition and phytochemical content of S. grandiflora (L.) Poir leaves. The results showed that shade-dried samples had the highest crude protein, crude ash, and carbohydrate while oven-dried samples had the highest crude fiber and crude fat content. Alkaloids, flavonoids, tannins, saponins, and terpenoids were found in the sample in all treatments. Antioxidant activity and vitamin C content were the highest in fresh samples and total phenol content was the highest in shade-dried samples. Thus, S. grandiflora is a good source of phytochemical and could be utilised for health promoting food item

Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs

Deep Learning as a Service (DLaaS) stands as a promising solution for cloud-based inference applications. In this setting, the cloud has a pre-learned model whereas the user has samples on which she wants to run the model. The biggest concern with DLaaS is user privacy if the input samples are sensitive data. We provide here an efficient privacy-preserving system by employing high-end technologies such as Fully Homomorphic Encryption (FHE), Convolutional Neural Networks (CNNs) and Graphics Processing Units (GPUs). FHE, with its widely-known feature of computing on encrypted data, empowers a wide range of privacy-concerned applications. This comes at high cost as it requires enormous computing power. In this paper, we show how to accelerate the performance of running CNNs on encrypted data with GPUs. We evaluated two CNNs to classify homomorphically the MNIST and CIFAR-10 datasets. Our solution achieved a sufficient security level (> 80 bit) and reasonable classification accuracy (99%) and (77.55%) for MNIST and CIFAR-10, respectively. In terms of latency, we could classify an image in 5.16 seconds and 304.43 seconds for MNIST and CIFAR-10, respectively. Our system can also classify a batch of images (> 8,000) without extra overhead

Multi-GPU design and performance evaluation of homomorphic encryption on GPU clusters

We present a multi-GPU design, implementation and performance evaluation of the Halevi-Polyakov-Shoup (HPS) variant of the Fan-Vercauteren (FV) levelled Fully Homomorphic Encryption (FHE) scheme. Our design follows a data parallelism approach and uses partitioning methods to distribute the workload in FV primitives evenly across available GPUs. The design is put to address space and runtime requirements of FHE computations. It is also suitable for distributed-memory architectures, and includes efficient GPU-to-GPU data exchange protocols. Moreover, it is user-friendly as user intervention is not required for task decomposition, scheduling or load balancing. We implement and evaluate the performance of our design on two homogeneous and heterogeneous NVIDIA GPU clusters: K80, and a customized P100. We also provide a comparison with a recent shared-memory-based multi-core CPU implementation using two homomorphic circuits as workloads: vector addition and multiplication. Moreover, we use our multi-GPU Levelled-FHE to implement the inference circuit of two Convolutional Neural Networks (CNNs) to perform homomorphically image classification on encrypted images from the MNIST and CIFAR - 10 datasets. Our implementation provides 1 to 3 orders of magnitude speedup compared with the CPU implementation on vector operations. In terms of scalability, our design shows reasonable scalability curves when the GPUs are fully connected.This work is supported by A*STAR under its RIE2020 Advanced Manufacturing and Engineering (AME) Programmtic Programme (Award A19E3b0099).Peer ReviewedPostprint (author's final draft

Formation of nanodiamonds at near-ambient conditions via microplasma dissociation of ethanol vapour

Clusters of diamond-phase carbon, known as nanodiamonds, exhibit novel mechanical, optical and biological properties that have elicited interest for a wide range of technological applications. Although diamond is predicted to be more stable than graphite at the nanoscale, extreme environments are typically used to produce nanodiamonds. Here we show that nanodiamonds can be stably formed in the gas phase at atmospheric pressure and neutral gas temperatures \u3c100 °C by dissociation of ethanol vapour in a novel microplasma process. Addition of hydrogen gas to the process allows in flight purification by selective etching of the non-diamond carbon and stabilization of the nanodiamonds. The nanodiamond particles are predominantly between 2 and 5 nm in diameter, and exhibit cubic diamond, n-diamond and lonsdaleite crystal structures, similar to nanodiamonds recovered from meteoritic residues. These results may help explain the origin of nanodiamonds in the cosmos, and offer a simple and inexpensive route for the production of high-purity nanodiamonds

Perceived Barriers to Regular Class Attendance of BCommH Students in University of Community Health, Magway

Education is essential not only for every citizen to survive in dignity but also for nation building. In any education settings, students’ regular class attendance plays a vital role for obtaining good academic achievements. A cross-sectional analytic study was conducted among BCommH students (n=410) of University of Community Health, Magway from October to December 2017 using a mixed method with objectives of exploring their perceived barriers of regular class attendance and possible solutions. Data collected by pretested semi-structured questionnaires were entered into computers and analysed by SPSS software version 18.0 with a significant level of 0.05. Qualitative data were assessed by content analysis. Significant findings related to irregular class attendance were level of previous class [OR = 3.08 (95% CI: 1.6 – 5.91) (p < 0.005)], monthly financial aid from family of MMK 100,000 or more [OR = 2.24 (95% CI: 1.29 – 3.86) (p = 0.003)], travelling pattern to and from campus by other means [OR = 7.76 (95% CI: 2.13 – 28.21) (p < 0.005)] and lunch taking pattern in week days [OR = 1.91 (95% CI: 1.13 – 3.23) (p < 0.025)]. Among the perceived barriers most of students (82.2%) stated illness as a barrier followed by being busy with preparation for examinations (46.4%), getting up late from bed in the morning (41.1%) and lecture room with high indoor temperature (40.5%). In in-depth interviews, students mentioned the reasons of missing classes as weakness in teaching system, their socio-behavioral factors and poor class room conditions. In conclusion the present study unearthed the various perceived barriers and these barriers should be removed by appropriate means including intensive oversight of faculty and staff on the students, reinforced with introduction of time management concepts into curriculum and making teaching learning environment more friendly to and happy for students, leading to more regular attendance among the students finally to achieve their high academic grades

The burden of dengue, source reduction measures, and serotype patterns in Myanmar, 2011 to 2015-R2.

BACKGROUND: Myanmar is currently classified as a high burden dengue country in the Asian Pacific region. The Myanmar vector-borne diseases control (VBDC) program has collected data on dengue and source reduction measures since 1970, and there is a pressing need to collate, analyze, and interpret this information. The aim of this study was to describe the burden of hospital-based dengue disease, dengue control measures, and serotype patterns in Myanmar between 2011 and 2015. METHODS: This was a cross-sectional study using annual records from the Dengue Fever/Dengue Hemorrhagic Fever Prevention and Control Project in Myanmar. RESULTS: Between 2011 and 2015, there were a total of 89,832 cases and 393 deaths in hospitals, with 97% of cases being in children. In 2013 and 2015, there was an increased number of cases, respectively at 21,942 and 42,913, while during the other 3 years, numbers ranged from 4738 to 13,806. The distribution of dengue deaths each year mirrored the distribution of cases. Most cases (84%) occurred in the wet season and 54% occurred in the delta/lowlands. Case fatality rate (CFR) was highest in 2014 at 7 per 1000 dengue cases, while in the other years, it ranged from 3 to 5 per 1000 cases. High CFR per 1000 were also observed in infants < 1 year (CFR = 8), adults ≥ 15 years (CFR = 7), those with disease severity grade IV (CFR = 17), and those residing in hilly regions (CFR = 9). Implementation and coverage of dengue source reduction measures, including larval control, space spraying, and health education, all increased between 2012 and 2015, although there was low coverage of these interventions in households and schools and for water containers. In the 2013 outbreak, dengue virus serotype 1 predominated, while in the 2015 outbreak, serotypes 1, 2, and 4 were those mainly in circulation. CONCLUSION: Dengue is a serious public health disease burden in Myanmar. More attention is needed to improve monitoring, recording, and reporting of cases, deaths, and vector control activities, and more investment is needed for programmatic research

Genetic polymorphism of merozoite surface protein-1 and merozoite surface protein-2 in Plasmodium falciparum field isolates from Myanmar

<p>Abstract</p> <p>Background</p> <p>Merozoite surface protein-1 (MSP-1) and MSP-2 of <it>Plasmodium falciparum </it>are potential vaccine candidate antigens for malaria vaccine development. However, extensive genetic polymorphism of the antigens in field isolates of <it>P. falciparum </it>represents a major obstacle for the development of an effective vaccine. In this study, genetic polymorphism of MSP-1 and MSP-2 among <it>P. falciparum </it>field isolates from Myanmar was analysed.</p> <p>Methods</p> <p>A total of 63 <it>P. falciparum </it>infected blood samples, which were collected from patients attending a regional hospital in Mandalay Division, Myanmar, were used in this study. The regions flanking the highly polymorphic characters, block 2 for MSP-1 and block 3 for MSP-2, were genotyped by allele-specific nested-PCR to analyse the population diversity of the parasite. Sequence analysis of the polymorphic regions of MSP-1 and MSP-2 was also conducted to identify allelic diversity in the parasite population.</p> <p>Results</p> <p>Diverse allelic polymorphism of MSP-1 and MSP-2 was identified in <it>P. falciparum </it>isolates from Myanmar and most of the infections were determined to be mixed infections. Sequence analysis of MSP-1 block 2 revealed that 14 different alleles for MSP-1 (5 for K1 type and 9 for MAD20 type) were identified. For MSP-2 block 3, a total of 22 alleles (7 for FC27 type and 15 for 3D7 type) were identified.</p> <p>Conclusion</p> <p>Extensive genetic polymorphism with diverse allele types was identified in MSP-1 and MSP-2 in <it>P. falciparum </it>field isolates from Myanmar. A high level of mixed infections was also observed, as was a high degree of multiplicity of infection.</p

Genetic diversity of toxigenic Vibrio cholerae O1 from Sabah, Malaysia 2015

Background Cholera is an important health problem in Sabah, a Malaysian state in northern Borneo; however, Vibrio cholerae in Sabah have never been characterized. Since 2002, serogroup O1 strains having the traits of both classical and El Tor biotype, designated as atypical El Tor biotype, have been increasingly reported as the cause of cholera worldwide. These variants are believed to produce clinically more severe disease like classical strains. Purpose The purpose of this study is to investigate the genetic diversity of V. cholerae in Sabah and whether V. cholerae in Sabah belong to atypical El Tor biotype. Methods ERIC-PCR, a DNA fingerprinting method for bacterial pathogens based on the enterobacterial repetitive intergenic consensus sequence, was used to study the genetic diversity of 65 clinical V. cholerae O1 isolates from 3 districts (Kudat, Beluran, Sandakan) in Sabah and one environmental isolate from coastal sea water in Kudat district. In addition, we studied the biotype-specific genetic traits in these isolates to establish their biotype. Results Different fingerprint patterns were seen in isolates from these three districts but one of the patterns was seen in more than one district. Clinical isolates and environmental isolate have different patterns. In addition, Sabah isolates harbor genetic traits specific to both classical biotype (ctxB-1, rstRCla) and El Tor biotype (rstRET, rstC, tcpAET, rtxC, VC2346). Conclusion This study revealed that V. cholerae in Sabah were genetically diverse and were atypical El Tor strains. Fingerprint patterns of these isolates will be useful in tracing the origin of this pathogen in the future