Simulation of Chlorine Decay in Water Distribution Networks Using EPANET – Case Study

Deterioration of water quality in distribution networks has a great impact on human health and public acceptance of tap water reaching them. Residual chlorine should be maintained through network pipes to prevent contamination and microbial regrowth. This paper investigates the ability of EPANET 2.0, a free software developed by United States Environment Protection Agency (USEPA), to simulate residual chlorine decay through water networks, taking water-age analyses into consideration, and assesses the feasibility of using it as a measuring and controlling tool to estimate and predict chlorine concentration at different water network points. A study was performed on drinking water network of 6th of October city, where field measurements were done, while data required as program inputs were taken from the daily records of the 6th of October and El-Shaikh Zayed WTPs. The network model was calibrated to minimize error in program results. Errors were evaluated using statistical analyses. The calculated concentrations by the calibrated model were very close to the actual concentrations measured in field at different sampling points for different sampling days. Moreover, EPANET showed that for the water network concerned in this study, chlorine concentrations at network extremities did not recede 0.5 mg/l, the minimum allowable limit established in the Egyptian Code of Practice (ECP), even for those points having water age greater than 24 hours. Keywords: chlorine decay, water quality, water distribution networks, EPANET, water-ag

Using NICENET in language classrooms at the Universiti Utara Malaysia, Malaysia

This study looks at various aspects of the Internet Classroom Assistant (ICA) called the NICENET in teaching English at the Universiti Utara Malaysia (UUM), Malaysia. It surveys students’ reaction towards the use of NICENET in facilitating students’ language learning process. The results of this study revealed that the NICENET is able to reduce the language barriers and increasing students’ motivation in language learning. NICENET is found to be a useful tool for enhancing students’ writing ability. It provides opportunitiess for students to pose messages and allow conferencing among student and teachers. The instructor found that the NICENET to be a useful tool for monitoring students’ writing and provide the necessary measures for helping students to be good language learners

The use of mesenchymal stromal cells in treatment of lung disorders

The therapeutic use of mesenchymal stromal cells (MSCs) represents a promising alternative clinical strategy for treating acute and chronic lung disorders. Several pre-clinical reports demonstrated that MSCs can secrete multiple paracrine factors and that their immunomodulatory properties can support endothelial and epithelial regeneration, modulate the inflammatory cascade, and protect lungs from damage. The effects of MSC transplantation into patients suffering from lung diseases should be fully evaluated through careful assessment of safety and associated risks, which is a prerequisite for translation of pre-clinical research into clinical practise. In this article we summarise the current status of pre-clinical research and review initial MSC-based clinical trials for treating lung injuries and lung disorders

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic

POLLUTION CONTROL AND WASTE MINIMIZATION OF CHEMICAL PRODUCTS INDUSTRY A Case Study of Polymers Production Industry

A bench scale model and treatability study was developed for chemical product “Polymers ” industry to study the analysis of waste discharge. The main objective of this study is management and control of liquid and solid wastes in the industry in order to protect the environment and to gain benefits as much as possible from the wasted materials and identify opportunities for introducing pollution prevention measures and best method for waste minimization as cleaner production system. The study is taking into account all types of waste production including wastewater and solid waste during the production processes activities. The main raw materials used in the industry are naphthalene, Conc. Sulfuric acid, Formaldehyde, Sodium Hydroxide, Calcium Oxide, Sodium meta Bisulfate, oil. The main product of the industry is sulfated naphthalene formaldehyde which used as a super plasticizer material to achieve improved concrete properties. The chemicals used during the manufacturing processes are very toxic, hazardous and has severe impact on the environment and health of the workers. The liquid waste was found to be extremely soluble in water and very hardly biodegraded

DYNAMIC MODELING OF THE ACTIVATED SLUDGE PROCESS FOR REAL TIME MONITORING AND CONTROL

In this paper, a dynamic model of the activated sludge process is formulated. The model is implemented in a modular hierarchical structure. Different biological reactions for COD removal, nitrification and denitrification are arranged in cascade and are active depending on the operation conditions. The implementation suits real time monitoring and control of the process. The implementation is configured to a very large plant to study its possible control strategies

Figurative Language in Malay to English Translation: An Analysis of the 2015 UniMAP VC's Keynote Speech

Translating figurative language involves more than just replacing the figurative language with its equivalent in the target language. Therefore, it is not surprising for the translation of figurative language to have its own set of challenges. Problems the translator faces in translating the Malay Figurative Language into English include complexities in understanding, interpreting and recreating the Figurative language that are unique in the Source Language (SL) culture; which have to be explained and described in Target Language (TL) where such practices and customs are non - existent. Secondly, the Source Text (ST) figurative language may appear in a variety of types and have a distinct denotative and connotative meaning and reference; most often, it is difficult to find an equivalent which totally matches the original meaning or concept. This particular paper analyses the translation of figurative language extracted from UniMAP's Vice Chancellor Keynote Speech in 2015. Findings reveal that the three categories of figurative language identified were namely idioms, metaphors and similes. Translation strategies used are either not translated, paraphrased or translated with a similar meaning but in different form

Figurative Language in Malay to English Translation: An Analysis of the 2015 UniMAP VC's Keynote Speech

Translating figurative language involves more than just replacing the figurative language with its equivalent in the target language. Therefore, it is not surprising for the translation of figurative language to have its own set of challenges. Problems the translator faces in translating the Malay Figurative Language into English include complexities in understanding, interpreting and recreating the Figurative language that are unique in the Source Language (SL) culture; which have to be explained and described in Target Language (TL) where such practices and customs are non - existent. Secondly, the Source Text (ST) figurative language may appear in a variety of types and have a distinct denotative and connotative meaning and reference; most often, it is difficult to find an equivalent which totally matches the original meaning or concept. This particular paper analyses the translation of figurative language extracted from UniMAP's Vice Chancellor Keynote Speech in 2015. Findings reveal that the three categories of figurative language identified were namely idioms, metaphors and similes. Translation strategies used are either not translated, paraphrased or translated with a similar meaning but in different form

Redirecting pantoprazole as a metallo-beta-lactamase inhibitor in carbapenem-resistant Klebsiella pneumoniae

The development of resistance to carbapenems in Klebsiella pneumoniae due to the production of metallo-β-lactamases (MBLs) is a critical public health problem because carbapenems are the last-resort drugs used for treating severe infections of extended-spectrum β-lactamases (ESBLs) producing K. pneumoniae. Restoring the activity of carbapenems by the inhibition of metallo-β-lactamases is a valuable approach to combat carbapenem resistance. In this study, two well-characterized clinical multidrug and carbapenem-resistant K. pneumoniae isolates were used. The sub-inhibitory concentrations of pantoprazole and the well-reported metallo-β-lactamase inhibitor captopril inhibited the hydrolytic activities of metallo-β-lactamases, with pantoprazole having more inhibiting activities. Both drugs, when used in combination with meropenem, exhibited synergistic activities. Pantoprazole could also downregulate the expression of the metallo-β-lactamase genes blaNDM and blaVIM. A docking study revealed that pantoprazole could bind to and chelate zinc ions of New Delhi and Verona integron-encoded MBL (VIM) enzymes with higher affinity than the control drug captopril and with comparable affinity to the natural ligand meropenem, indicating the significant inhibitory activity of pantoprazole against metallo-β-lactamases. In conclusion, pantoprazole can be used in combination with meropenem as a new strategy for treating serious infections caused by metallo-β-lactamases producing K. pneumoniae