Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
23,354
result(s) for
"LE, T. C"
Sort by:
حيوانات في الحروب
هذا الكتاب مخصص للأطفال يستهدف الطفولة المبكرة وتعمل علي اسثمار الطفل في بناء المهارات المختلفة المرتبطة بالخيال والابتكار وقوة الشخصية والبحث عن حلول إبداعية ويستمد الطفل الكثير من العلم والمعرفة والمعلومات من المنهج السلوكي التربوي رائع يعلم الطفل كيف يستخلص من مشكلاته وكيف يبني شخصيته بشكل مميز ويعطي المربي حلولا لحل مشكلات أبنه تعنيه عن تجاوز الأزمة وإنهائها.
Book
The potential for REDD+ to reduce forest degradation in Vietnam
Natural forests in Vietnam have experienced rapid declines in the last 70 years, as a result of degradation from logging and conversion of natural forests to timber and rubber plantations. Degradation of natural forests leads to loss of biodiversity and ecosystem services, impacting the livelihoods of surrounding communities. Efforts to address ongoing loss of natural forests, through mechanisms such as Reduced Emissions from Deforestation and Degradation (REDD+), require an understanding of the links between forest degradation and the livelihoods of local communities, which have rarely been studied in Vietnam. We combined information from livelihood surveys, remote sensing and forest inventories around a protected natural forest area in North Central Vietnam. For forest-adjacent communities, we found natural forests contributed an average of 28% of total household income with plantation forests contributing an additional 15%. Although officially prohibited, logging contributed more than half of the total income derived from natural forests. Analysis of Landsat images over the period 1990 to 2014 combined with forest inventory data, demonstrates selective logging was leading to ongoing degradation of natural forests resulting in loss of 3.3 ± 0.8 Mg biomass ha−1 yr−1 across the protected area. This is equivalent to 1.5% yr−1 of total forest biomass, with rates as high as 3% yr−1 in degraded and easily accessible parts of the protected area. We estimate that preventing illegal logging would incur local opportunity costs of USD $4.10 ± 0.90 per Mg CO2, similar to previous estimates for tropical forest protected areas and substantially less than the opportunity costs in timber or agricultural concessions. Our analysis suggests activities to reduce forest degradation in protected areas are likely to be financially viable through Vietnam's REDD+ program.
Journal Article
The protective effect of green space on heat-related respiratory hospitalization among children under 5 years of age in Hanoi, Vietnam
Combined effects of global warming and rapid urbanization replace green spaces with urban facilities. Children in urban areas are at a higher risk of heat-related adverse health effects. Our study aimed to examine the protective effect of urban green space on heat-related respiratory hospitalization among children under 5 years of age in Hanoi, the capital city of Vietnam. We estimated district-specific meteorological conditions from 2010 to 2014 by using a dynamic downscaling approach with a fine-resolution numerical climate model. The green space in each district was calculated using satellite data. The attributable fraction of heat-related respiratory hospitalization was estimated using a two-stage model, including a distributed lag non-linear model (DLNM) coupled with multivariate meta-analysis. The association between heat-related respiratory hospitalization and green spaces at the district level was explored using a linear regression model. The central districts were more crowded and hotter, with less green spaces than the outer districts. At temperatures > 34 °C (extreme heat threshold), the hospitalizations in the central districts increased significantly; however, in the outer districts, the hospitalization rate was insignificant. On average, extreme heat attributed 0.33% to citywide hospitalization, 0.35% in the center, and 0.32% in the outer region. Every 1% increase in the green space fraction will reduce heat-related respiratory hospitalization risk by 3.8%. Heat significantly increased the risk of respiratory hospitalization among children under 5 years in Hanoi, Vietnam. These findings are valuable for authorities to consider strategies to protect children’s health against the effects of heat, including increasing green space.
Journal Article
Deep Learning for Fully Automatic Tumor Segmentation on Serially Acquired Dynamic Contrast-Enhanced MRI Images of Triple-Negative Breast Cancer
Accurate tumor segmentation is required for quantitative image analyses, which are increasingly used for evaluation of tumors. We developed a fully automated and high-performance segmentation model of triple-negative breast cancer using a self-configurable deep learning framework and a large set of dynamic contrast-enhanced MRI images acquired serially over the patients’ treatment course. Among all models, the top-performing one that was trained with the images across different time points of a treatment course yielded a Dice similarity coefficient of 93% and a sensitivity of 96% on baseline images. The top-performing model also produced accurate tumor size measurements, which is valuable for practical clinical applications.
Journal Article
Secondhand smoke in public places in Vietnam: An assessment 5 years after implementation of the tobacco control law
ObjectivesThis study quantified the secondhand smoke (SHS) concentration in a sample of public places in Vietnam to determine changes in SHS levels 5 years after a public smoking ban was implemented.MethodsTwo monitoring campaigns, one in 2013 (before the tobacco control law was implemented) and another in 2018 (5 years after the implementation of the law) were conducted in around 30 restaurants, cafeterias and coffee shops in major cities of Vietnam. Concentrations of PM2.5, as an indicator of SHS, were measured by portable particulate matter monitors (TSI SidePak AM510 and Air Visual Pro).ResultsThe geometric mean PM2.5 concentration of all monitored venues was 87.7 µg/m3 (83.7–91.9) in the first campaign and 55.2 µg/m3 (53.7–56.7) in the second campaign. Pairwise comparison showed the PM2.5 concentrations in the smoking observed area was triple and double those in the non-smoking area and the outdoor environment. After adjusting for sampling locations and times, the SHS concentration 5 years after the implementation of the tobacco control law reduced roughly 45%.ConclusionThe study results indicate an improvement in air quality in public places in Vietnam via both the reduction in PM2.5 levels and the number of people observed smoking. However, greater enforcement of the free-smoke legislation is needed to eliminate SHS in public places in Vietnam.
Journal Article
Race Recognition Using Deep Convolutional Neural Networks
Race recognition (RR), which has many applications such as in surveillance systems, image/video understanding, analysis, etc., is a difficult problem to solve completely. To contribute towards solving that problem, this article investigates using a deep learning model. An efficient Race Recognition Framework (RRF) is proposed that includes information collector (IC), face detection and preprocessing (FD&P), and RR modules. For the RR module, this study proposes two independent models. The first model is RR using a deep convolutional neural network (CNN) (the RR-CNN model). The second model (the RR-VGG model) is a fine-tuning model for RR based on VGG, the famous trained model for object recognition. In order to examine the performance of our proposed framework, we perform an experiment on our dataset named VNFaces, composed specifically of images collected from Facebook pages of Vietnamese people, to compare the accuracy between RR-CNN and RR-VGG. The experimental results show that for the VNFaces dataset, the RR-VGG model with augmented input images yields the best accuracy at 88.87% while RR-CNN, an independent and lightweight model, yields 88.64% accuracy. The extension experiments conducted prove that our proposed models could be applied to other race dataset problems such as Japanese, Chinese, or Brazilian with over 90% accuracy; the fine-tuning RR-VGG model achieved the best accuracy and is recommended for most scenarios.
Journal Article
A hybrid framework for smile detection in class imbalance scenarios
In this study, we consider the problem of smile detection in both an imbalanced data scenario, in which the number of smile images is in the minority compared with the number of neutral images, and a balanced data scenario. We first propose a smile detection model using a convolutional neural network (SD-CNN) to improve the performance in the balanced data scenario, and then a hybrid deep learning framework (HF-SD) that uses a modification of the SD-CNN model to learn and then extracts the features from dataset. These extracted features are then used to train an extreme gradient boosting approach to handle the imbalanced problem. An experiment shows that the proposed model has impressive discriminative ability for smile detection, in both balanced and imbalanced data scenarios, compared with existing approaches. HF-SD yields an accuracy of 93.6% and outperforms the state-of-the-art approaches for the original GENK14K database in the balanced data scenario. The results of the second experiment show that HF-SD also achieves better AUCs (area under the receiver operating characteristic curve) compared with the state-of-the-art methods for smile detection in an imbalanced data scenario with different balancing ratios.
Journal Article
Price transmission in shrimp production in Vietnam
Under the trade international integration, vertical price transmission in agri-food export supply chains is an essential issue that needs attention. This study analyses the price transmission from export prices to farm-gate prices of the black-tiger shrimp and white-leg shrimp production in Vietnam. Monthly price series of black-tiger shrimp and white-leg shrimp were collected from January 2015 to October 2020, from the Department of Aquaculture of Ca Mau, Soc Trang, Kien Giang, Ben Tre provinces; Vietnam Association of Seafood Exporters and Producers, and Vietnam market analysis and forecast joint stock company. The Johansen cointegration test, the Toda-Yamamoto Granger causality test, the Engle-Granger’s two-stage estimation, and the asymmetric error correction model using the Houck and Ward approach were applied. The results showed a long-term relationship between the farm-gate prices and export prices for both black-tiger shrimp and white-leg shrimp. The export prices were the price leader. In the long run, the price transmission from export prices to farm-gate prices in both black-tiger shrimp and white-leg shrimp was incomplete; however, the white-leg shrimp’s price transmission was noticeably better than black-tiger shrimp’s. In the short run, there was no statistically significant effect of export prices on farm-gate prices of black-tiger shrimp; while the price transmission of white-leg shrimp was significant but relatively slow rate. The price transmission for black-tiger shrimp and white-leg shrimp was symmetric in the short run and the long run. The findings of this study are useful for farmers in developing production and business strategy. Symmetric price transmission in both the short run and the long run is a positive signal for farmers to invest in sustainable production approaches and to meet stringent standard requirements of the export market.
Journal Article
Evaluate and propose solutions for sustainable development of water resources in coastal areas of Binh Thuan province, Vietnam
Binh Thuan province has a coastline of about 192 km, the coastline connecting with the surrounding space to create the coastal ecosystem. This is an important area for the socio-economic development of Binh Thuan province. However, in the process of development, some existing problems have been revealed, limiting the manifestation of unsustainability, especially the use of water resources. Research results show that, at present, Binh Thuan province has 188 mining and mineral processing enterprises, which not only consume a lot of water but also pollute the environment and exhaust water resources of Binh Thuan province. In order to reduce water shortage in Binh Thuan province, it is necessary to have specific and strict solutions to improve water efficiency. On the basis of monitoring data and the help of Seawat model, the study has determined coastal water reserves of Binh Thuan province, thereby determining the amount of water to be safely exploited. These data have been integrated with the RCP4.5 scenario and forecast for the years 2030, 2060 and 2090. From there, we propose some solutions to overcome water shortage, serving sustainable development. coastal water resources of Binh Thuan province.
Journal Article
Evaluation of the dynamical characteristics of fluid flow caused by collapse of a non-spherical near-surface bubble
The paper is devoted to numerical study of the influence of the initial shape of a vapor bubble on the surface impact of the water jet emerging due to the bubble collapse. This problem is relevant to spreading of high-temperature melt under a layer of subcooled water. The vapor bubbles formed on the melt-water interface, upon complete penetration in water, are condensing rapidly to produce high-velocity water micro-jets directed towards the melt. Impact of these jets causes upward melt splashing. Superposition of these processes forms a dynamic layer where melt is mixed with water; the presence of this premixed layer can be a pre-requisite for steam explosion. In this work, numerical modelling by the boundary element method is performed for the collapse of a bubble of an oblate spheroid. It is shown that the water jets generated in this process possess the impulse comparable to that generated by a collapsing spherical vapour bubble of the same volume. By the numerical simulations and subsequent estimates it is obtained that collapse of non-spherical bubbles near the melt-water interface produces melt splashes of the height of few centimetres, which is sufficient for the occurrence of steam explosions.
Journal Article