scholarly journals Identification of Carbon Monoxide Levels

With ever rising emission of pollutant gases from different sources like factories, auto mobiles and power, it is a subject of emerging concerns that some strong measures are required to monitor and control these pollutant. Breathing of these gases may cause serious harmful effects to anyone. In these gases, Carbon Monoxide (CO) is often called "Silent Killer" as being colour-less, odour-less and poisonous, it is undetectable by humans. When inhaled it, it deprives blood stream of oxygen and suffocates its victim. In this paper we are proposing a simple system to monitor Carbon Monoxide (CO). Carbon Monoxide (CO) detectors are used to detect CO. This paper also discusses analysis of amount of these CO based a data set from Kaggle and prediction of possible amount of CO in air using regression. The prediction accuracy which is measured as RMSE is 0.17766.

2018 ◽  
Vol 17 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Shakhawat Chowdhury

Abstract Desalinated seawater is the major source of drinking water in many countries. During desalination, several activities including pretreatment, desalination, stabilization, mixing, storage and distribution are performed. Few disinfectants are used during these activities to control the biofouling agents and microbiological regrowth. The reactions between the disinfectants and natural organic matter (NOM), bromide and iodide form disinfection by-products (DBPs) in product water. The product water is stabilized and mixed with treated freshwater (e.g., groundwater) to meet the domestic water demands. The DBPs in desalinated and blend water are an issue due to their possible cancer and non-cancer risks to humans. In this paper, formation and distribution of DBPs in different steps of desalination and water distribution systems prior to reaching the consumer tap were reviewed. The variability of DBPs among different sources and desalination processes was explained. The toxicities of DBPs were compared and the strategies to control DBPs in desalinated water were proposed. Several research directions were identified to achieve comprehensive control on DBPs in desalinated water, which are likely to protect humans from the adverse consequences of DBPs.


2021 ◽  
Vol 59 (1) ◽  
pp. 1-20
Author(s):  
Cédric Jourde ◽  
Marie Brossier ◽  
Muriel Gomez-Perez

ABSTRACTThis article analyses how the state in Senegal has managed the hajj since the liberalisation era in the early 2000s. Although the essence of the hajj is religious, it is also deeply political and requires that the state manages complex relations with pilgrims, religious leaders, private travel agencies, politicians and Saudi authorities. This article argues that three inter-related imperatives structure the conduct of the Senegalese state: a security imperative, a legitimation imperative, and a clientelistic imperative. Security concerns lead the state to monitor and control pilgrims travelling to Mecca. Legitimation is seen in the collaborative relations with Sûfi orders and in the framing of the hajj organisation as a ‘public service’. Finally, given the magnitude of financial and symbolic resources attached to the hajj, clientelistic relations are constitutive of state officials’ actions. Overall, despite the post-2000 liberalisation of the hajj, the state has maintained its role as a gatekeeper, regulator and supervisor.


Genetics ◽  
2021 ◽  
Author(s):  
Marco Lopez-Cruz ◽  
Gustavo de los Campos

Abstract Genomic prediction uses DNA sequences and phenotypes to predict genetic values. In homogeneous populations, theory indicates that the accuracy of genomic prediction increases with sample size. However, differences in allele frequencies and in linkage disequilibrium patterns can lead to heterogeneity in SNP effects. In this context, calibrating genomic predictions using a large, potentially heterogeneous, training data set may not lead to optimal prediction accuracy. Some studies tried to address this sample size/homogeneity trade-off using training set optimization algorithms; however, this approach assumes that a single training data set is optimum for all individuals in the prediction set. Here, we propose an approach that identifies, for each individual in the prediction set, a subset from the training data (i.e., a set of support points) from which predictions are derived. The methodology that we propose is a Sparse Selection Index (SSI) that integrates Selection Index methodology with sparsity-inducing techniques commonly used for high-dimensional regression. The sparsity of the resulting index is controlled by a regularization parameter (λ); the G-BLUP (the prediction method most commonly used in plant and animal breeding) appears as a special case which happens when λ = 0. In this study, we present the methodology and demonstrate (using two wheat data sets with phenotypes collected in ten different environments) that the SSI can achieve significant (anywhere between 5-10%) gains in prediction accuracy relative to the G-BLUP.


Synthesis ◽  
2021 ◽  
Author(s):  
Zheng-Yang Gu ◽  
Yang Wu ◽  
Feng Jin ◽  
Bao Xiaoguang ◽  
Ji-Bao Xia

An atom- and step-economic intermolecular multi-component palladium-catalyzed C–H amidation of alkenes with carbon monoxide and organic azides has been developed for the synthesis of alkenyl amides. The reaction proceeds efficiently without an ortho-directing group on the alkene substrates. Nontoxic dinitrogen is generated as the sole by-product. Computational studies and control experiments have revealed that the reaction takes place via an unexpected mechanism by tandem palladium catalysis.


2019 ◽  
Vol 28 (e1) ◽  
pp. e37-e42 ◽  
Author(s):  
Wasim Maziak ◽  
Ziyad Ben Taleb ◽  
Mohammad Ebrahimi Kalan ◽  
Thomas Eissenberg ◽  
James Thrasher ◽  
...  

ObjectivesThis study examined the effect of pictorial health warning labels (HWLs) on the waterpipe (WP) device on smokers’ experience, puffing behaviour, harm perception and exposure to respiratory toxicants.MethodsThirty WP smokers completed two 45 min ad libitum smoking sessions (WP without HWL vs WP with HWL) in a crossover design study. Exhaled carbon monoxide (eCO) was measured before and after each smoking session. Puff topography was recorded throughout the smoking session, and participants completed survey questionnaires assessing subjective smoking experiences and harm perception.ResultsSignificant differences were observed in eCO levels between the two study conditions, with lower levels of eCO boost recorded following smoking the WP fitted with HWL (16 ppm) compared with WP without HWL (22.7 ppm). Participants had more puffs, shorter interpuff intervals and a higher total puff volume during smoking the WP without HWL relative to WP with HWL (p values <0.05). We documented enhanced reports of satisfaction, taste and puff liking following smoking the WP without HWL compared with the WP with HWL. WP harm perception was significantly higher among participants after smoking the WP with HWL compared with WP without HWL.ConclusionThis pilot study shows that placing HWL on the WP device is effective in reducing WP smoker’s positive experiences, puffing parameters and exposure to carbon monoxide. HWLs lead also to more appreciation of WP harmful effects, making them a promising regulatory approach for addressing the spread of WP smoking among young adults in the USA.


2011 ◽  
Vol 20 (07) ◽  
pp. 1211-1230 ◽  
Author(s):  
HYUN SANG CHO ◽  
TAKEKAZU KATO ◽  
TATSUYA YAMAZAKI ◽  
MINSOO HAHN

The home network is one of the emerging areas from the last century. However, the growth of the home network market is stationary at present. This paper describes the limitations of the home network system and the requirements for overcoming the current limitations. Also described is a new home network service system known as COWS and its easy installation and scalable operation. COWS consists of power consumption monitor and control devices along with a service server that is a complementary combination of Open Service Gateway initiative (OSGi) and web services. A home network system has a dynamic, heterogeneous, distributed, and scalable topology. Service Oriented Architecture (SOA) has been proposed as a solution that satisfies the requirement of a home network, and OSGi and web services are two successful SOA-based frameworks. An included service server has a flexible architecture that consists of a core and extendable service packages. A power consumption monitor and control function provides useful context information for activity-based context-aware services and optimizes the power consumption. The system can be installed easily into existing and new houses to solve the current barrier of the popularization of home network services.


2014 ◽  
Vol 556-562 ◽  
pp. 3219-3222
Author(s):  
Shan Shan Li ◽  
Peng Wang ◽  
Xu Han ◽  
Jin Feng Liu ◽  
Xiao Gang Zhou

The supercavitation weapon is a new concept weapon moving at a high speed underwater, which is devised applying the characteristic of supercavitation reducing the resistance of water, and it may be widely used in the future. The present ventilating system has many shortcomings, such as less automation and numerous data cannot be measured and recorded timely. In this paper, the automatic monitor and control ventilating system of supercavitation water-tunnel was developed using configuration software and PLC. All parameters can be measured, recorded and displayed automatically via using of the system. It has many advantages such as higher automation, convenience, and easy maintenance.


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