High-Gain Observer–Based Sliding Mode Control of Multimotor Drive Systems

Multimotor drive systems have been widely used in many modern industries. It is a nonlinear, multi-input, multi-output (MIMO) and strong-coupling complicated system, including the effect of friction, elastic, and backlash. The control law for this drive system much depends on the determining of the tension. However, it is hard to obtain this tension in practice by using a load cell or a pressure meter due to the accuracy of sensors or external disturbance. In order to solve this problem, a high-gain observer is proposed to estimate the state variables in this drive system, such as speeds and tension. An emerging proposed technique in the control law is the use of high-gain observers together with adaptive sliding mode control scheme to obtain a separation principle for the stabilization of whole system. The theory analysis and simulation results point out the good effectiveness of the proposed output feedback for the drive system

Application of Kalman Filter and Breeding Ensemble Technique to Forecast the Tropical Cyclone Activity

Tropical cyclone (TC) is one of the major meteorology disasters, as they lead to deaths, destroy the infrastructure and the environment. Therefore, how to improve the predictability of TC’s activities, such as formation, track, and intensity, is very important and is considered an important task for current operational predicting TC centers in many countries. However, predicting TC’s activities has remained a big challenge for meteorologists due to our incomplete understanding of the multiscale interaction of TCs with the ambient environment and the limitation of numerical weather forecast tools. Hence, this chapter will exhibit some techniques to improve the ability to predict the formation and track of TCs using an ensemble prediction system. Particularly, the Local Ensemble Transform Kalman Filter (LETKF) scheme and its implementation in the WRF Model, as well as the Vortex tracking method that has been applied for the forecast of TCs formation, will be presented in subSection 1. Application of Breeding Ensemble to Tropical Cyclone Track Forecasts using the Regional Atmospheric Modeling System (RAMS) model will be introduced in subSection 2

X-Swarm: The Upcoming Swarm Worm

With the rapid growth of technology in the digital landscape, cybercriminals attempt to utilize new and sophisticated techniques to autonomous and increase the speed and scale of their attacks. Meanwhile, the Dark Web infrastructures such as Tor, plays a crucial role in the criminal underground, especially for malware developers' communities. It is logical to expect that the malicious actors would utilize the combination of these techniques in shortcoming time. To better understand the upcoming threat, in this manuscript, we investigate the design and mitigation of such malware. Accordingly, we introduce X-sWarm, which will be the next generation of resilient, stealthy malware that leverages the intelligent technique and the darknet infrastructures. Furthermore, we show that with the self-healing network mechanism, X-sWarm can achieve a low diameter and a low degree and be robust to partitioning under node removal. More importantly, we suggest the mitigation technique that neutralizes the nodes of the proposed worm

Gene Family Abundance Visualization based on Feature Selection Combined Deep Learning to Improve Disease Diagnosis

Advancements in machine learning in general and in deep learning in particular have achieved great success in numerous fields. For personalized medicine approaches, frameworks derived from learning algorithms play an important role in supporting scientists to investigate and explore novel data sources such as metagenomic data to develop and examine methodologies to improve human healthcare. Some challenges when processing this data type include its very high dimensionality and the complexity of diseases. Metagenomic data that include gene families often have millions of features. This leads to a further increase of complexity in processing and requires a huge amount of time for computation. In this study, we propose a method combining feature selection using perceptron weight-based filters and synthetic image generation to leverage deep-learning advancements in order to predict various diseases based on gene family abundance data. An experiment was conducted using gene family datasets of five diseases, i.e. liver cirrhosis, obesity, inflammatory bowel diseases, type 2 diabetes, and colorectal cancer. The proposed method provides not only visualization for gene family abundance data but also achieved a promising performance level

Pragmatic economic valuation of adaptation risk and responses across scales Case study in Vietnam

Vietnam is one of the countries particularly vulnerable to climate change. Increased temperatures, increased salinity intrusion due to sea-level rise and altering precipitation patterns significantly affect livelihood options of smallholder farmers, resulting in losses in agricultural production. These impacts are projected to become increasingly severe, hence, adaptation to climate change and sensitivity needs to be assessed and adaptation measures taken. This study provides a vulnerability assessment based on the results for exposure, sensitivity and adaptive capacity. This includes present and projected future climatic conditions and hazards, crop suitability analyses and socioeconomic assessments on a district scale. In addition, a case study is presented focusing on the two provinces of Tra Vinh and Ben Tre, identified as highly vulnerable in the Mekong Delta area. The case study shows opportunities, economic trade-offs and barriers of adoption of climate-smart agriculture (CSA) practices to adapt to progressive climate change

Consumers’ raw poultry washing practices: A cross-sectional and observational study in eight Southeast Asian countries

Consumers are recommended not to wash raw poultry before cooking since this practice increases risks of cross contamination with foodborne pathogens. However previous studies had identified that consumers were unaware of this incorrect behaviour. This study aims to assess consumers' self-reported and observed raw poultry washing practices in Southeast Asian (SEA) countries. A mixed method design was employed, with data collected via a cross-sectional survey across eight SEA countries, observational studies and semi-structured interviews conducted in Indonesia and Malaysia. Ninety-six percent (n = 2009) of surveyed participants reported that they washed raw poultry at home. Participants from Laos and Philippines, older, married and low-income participants reported washing raw poultry more frequently. The main reasons for washing raw poultry were to remove dirt, slime, blood or feathers and the act of washing makes them feel safer. Participants from Cambodia (OR = 2.855, p < 0.001), Indonesia (OR = 3.208, p < 0.001), Laos (OR = 3.012, p < 0.05), Malaysia (OR = 2.003, p < 0.05) and Thailand (OR = 2.148, p < 0.001) were 2.00–3.21 times more confident about not washing raw poultry upon understanding the rationale that washing does not reduce microbial load. Participants who purchased from supermarkets (OR = 1.785, p < 0.05) were significantly more confident about not washing raw poultry compared to other sources of raw poultry. Our observation study identified various cross contamination pathways including lack of hand hygiene practices, inadequate cleaning and sanitation procedures, and cross contamination of raw poultry and washed water to surrounding areas. Semi-structured interviews revealed that participants preferred to wash raw poultry due to the lack of cleanliness of raw poultry purchased from traditional markets and the act is ingrained in their cultural practice. Due to consumers' preference for freshly slaughtered poultry and perceived cleanliness of raw poultry purchased from traditional markets, hand hygiene practices during and after handling raw poultry and cleaning of kitchen sinks and surrounding areas with soap should be emphasised. Targeted food safety messages and educational campaigns suited to local cultural differences should be conducted. This study presents the first empirical findings on consumers’ raw poultry washing practices in eight SEA countries. Practical implications and further recommendations are provided

Spatiotemporal evolution of SARS-CoV-2 Alpha and Delta variants during large nationwide outbreak of COVID-19, Vietnam, 2021

We analyzed 1,303 SARS-CoV-2 whole-genome sequences from Vietnam, and found the Alpha and Delta variants were responsible for a large nationwide outbreak of COVID-19 in 2021. The Delta variant was confined to the AY.57 lineage and caused >1.7 million infections and >32,000 deaths. Viral transmission was strongly affected by nonpharmaceutical interventions

The influence of human genetic variation on early transcriptional responses and protective immunity following immunization with Rotarix vaccine in infants in Ho Chi Minh City in Vietnam : a study protocol for an open single-arm interventional trial [awaiting peer review]

Background: Rotavirus (RoV) remains the leading cause of acute gastroenteritis in infants and children aged under five years in both high- and low-middle-income countries (LMICs). In LMICs, RoV infections are associated with substantial mortality. Two RoV vaccines (Rotarix and Rotateq) are widely available for use in infants, both of which have been shown to be highly efficacious in Europe and North America. However, for unknown reasons, these RoV vaccines have markedly lower efficacy in LMICs. We hypothesize that poor RoV vaccine efficacy across in certain regions may be associated with genetic heritability or gene expression in the human host. Methods/design: We designed an open-label single-arm interventional trial with the Rotarix RoV vaccine to identify genetic and transcriptomic markers associated with generating a protective immune response against RoV. Overall, 1,000 infants will be recruited prior to Expanded Program on Immunization (EPI) vaccinations at two months of age and vaccinated with oral Rotarix vaccine at two and three months, after which the infants will be followed-up for diarrheal disease until 18 months of age. Blood sampling for genetics, transcriptomics, and immunological analysis will be conducted before each Rotarix vaccination, 2-3 days post-vaccination, and at each follow-up visit (i.e. 6, 12 and 18 months of age). Stool samples will be collected during each diarrheal episode to identify RoV infection. The primary outcome will be Rotarix vaccine failure events (i.e. symptomatic RoV infection despite vaccination), secondary outcomes will be antibody responses and genotypic characterization of the infection virus in Rotarix failure events. Discussion: This study will be the largest and best powered study of its kind to be conducted to date in infants, and will be critical for our understanding of RoV immunity, human genetics in the Vietnam population, and mechanisms determining RoV vaccine-mediated protection. Registration: ClinicalTrials.gov, ID: NCT03587389. Registered on 16 July 2018

LEED Certification: The Difference Between Version 3 and Version 4

This bachelor’s thesis aimed to provide extensive comparisons between two versions of a popular green building certification LEED: LEED v3 and LEED v4. The project was implemented because of a lack of universal comparison between the two versions, in addition to the detached categories of the older version LEED v3. The purpose was to eliminate all confusion of the certification, while offering a complete package of information about the latest and sole version till date. The study method included a literature research to combine all official documentations into one easy-to-read paper. The audience of the thesis consists of new people who would like to study LEED, experienced people used to the older version of LEED, and all people in between. Overall, the thesis established that the current LEED v4 offers much better guidance than the older version. It also adds and updates an amount of credits that account for nearly 90 percent of the total points. However, many credits raise the standards, so it is now harder for projects to achieve similar points as they would have achieved with LEED v3. All in all, LEED v4 is the only possible version to choose for new projects at the moment