A Gossip Algorithm based Clock Synchronization Scheme for Smart Grid Applications

The uprising interest in multi-agent based networked system, and the numerous number of applications in the distributed control of the smart grid leads us to address the problem of time synchronization in the smart grid. Utility companies look for new packet based time synchronization solutions with Global Positioning System (GPS) level accuracies beyond traditional packet methods such as Network Time Proto- col (NTP). However GPS based solutions have poor reception in indoor environments and dense urban canyons as well as GPS antenna installation might be costly. Some smart grid nodes such as Phasor Measurement Units (PMUs), fault detection, Wide Area Measurement Systems (WAMS) etc., requires synchronous accuracy as low as 1 ms. On the other hand, 1 sec accuracy is acceptable in management information domain. Acknowledging this, in this study, we introduce gossip algorithm based clock synchronization method among network entities from the decision control and communication point of view. Our method synchronizes clock within dense network with a bandwidth limited environment. Our technique has been tested in different kinds of network topologies- complete, star and random geometric network and demonstrated satisfactory performance

Occupational exposure explains the higher COVID-19 deaths amongst the Bangladeshi and Pakistani ethnic groups in the United Kingdom

Occupational exposure explains the higher COVID-19 deaths amongst the Bangladeshi and Pakistani ethnic groups in the United Kingdom Parvez I. Haris Faculty of Health and Life Sciences, De Montfort University, Leicester, United Kingdom, E-Mail: [email protected] COVID-19 mortality data from the UK office of National Statistics (ONS) reveals that the Bangladeshi and Pakistani communities were not only adversely affected during the first and second waves but also showed the largest increase in mortality in the second wave. In the second wave, there was a 60% reduction for black Africans (men and women) but a dramatic increase by 124% and 97% for men and women from Pakistani ethnicity, respectively. As yet, this alarming increase in deaths during the second wave has not been explained although multiple factors are likely to have been responsible. The Bangladeshi and Pakistani ethnic groups suffered economically due to the lockdown as a large proportion of the people from these communities’ own restaurants and takeaways and also work in this sector. To support this badly affected sector, a “eat out to help out” scheme was introduced by the government with the price of meals discounted by 50%. This was a great incentive for the businesses and the community to generate income and also for the public to enjoy meals at discounted prices during the summer of 2020. During the period of the scheme, long queues were seen outside restaurants throughout the country, especially in areas with a high concentration of Bangladeshis and Pakistanis. People from these ethnicities have the highest percentage of people working in the sector that was most directly connected to the “eat out to help out” scheme. According to the ONS data, over 30% of Bangladeshis and Pakistanis work in the distribution, hotels and restaurants sector. This is two-fold higher compared to the Black ethnic group and it is also higher than any other ethnic groups. Furthermore, the Bangladeshis and Pakistanis have the highest percentage of people (17.8%) working in the transport and communication sector compared to the Black ethnic group (11.1%). This category of workers, especially taxi and mini-cab drivers, would have been more active during the “eat out to help out” scheme taking customers to and from restaurants. Small kitchens in restaurants and fast-food outlets were packed with staff serving unusually high number customers taking advantage of heavily discounted meals. Wearing masks, at least properly with the nose and mouth fully covered, in a hot kitchen environment, during busy periods and over several hours of continuous work, is unlikely to have been easy. Social distancing in a kitchen environment is virtually impossible due to space limitation and the need to move around. Furthermore, the ventilation systems in kitchens vary widely and may not have been adequate enough to eliminate virus-laden water droplets exhaled by the restaurant workers. Exposure of virus between workers and customers is likely to have been higher during the “eat out to help out scheme” compared to other periods. All of this may have created an ideal environment for the transmission of the virus between restaurant workers and customers and thereafter being transmitted to family members and others in the community. In the UK, 43.9% of the Black ethnic group work in the public administration, education and health sectors. In contrast, 25.2% of Bangladeshis and Pakistanis work in this sector. The decrease in COVID-19 deaths amongst the Black ethnic groups (both Black African and Black Caribbean) during the second wave is probably due to the fact that a greater percentage of them work in the more well-regulated and financially well supported sectors such as the NHS and education sectors, where risk assessment and adherence to COVID-19 health and safety measures were strongly implemented, especially after the first wave. In contrast, small businesses such as restaurants, which many Bangladeshi and Pakistanis either own and/or work in, may not have sufficient resources for implementing strict health and safety measures such as social distancing, for example in a small kitchen with 5-6 people working in close contact to each other for many hours for 6-7 days a week. This difference in employment environment of Blacks, compared to Bangladeshis and Pakistanis, may explain why the COVID-19 mortality decreased for the Blacks in the second wave but increased for Bangladeshis and Pakistanis. Taxi and mini-cab drivers were badly affected by COVID-19. During the “eat out to help out” this sector will have been very busy taking passengers to and from restaurants. Thus a combination of working in restaurants and driving taxis may explain the higher mortality from COVID-19 in Bangladeshi and Pakistanis and this increased substantially in the second wave due to higher activity in these sectors caused by the “eat out to help out” incentive. To conclude, the key factor responsible for the higher COVID-19 deaths in the Bangladeshi and Pakistani communities is due to higher risk of exposure to the virus as they have higher percentage of people working in restaurants, takeaways and driving taxis and mini-cabs. The frequency and dose of exposure to the virus is likely to be high due to duration of time spent in overcrowded kitchens, taxis and mini-cabs. The well intentioned “eat out to help out” scheme turned out to be an opportunity for making more money for businesses and their staff as well as greater enjoyment for the customers but it created an ideal environment for exposure to COVID-19. Adequate risk assessment and necessary support is needed to protect the health and safety of workers and customers in restaurants, fast-food outlets and those working as taxi and mini-cab drivers. This is particularly urgent as prevention strategies, such as wearing of masks and social distancing, are lifted from 19 July 2021

The elephant in the room: is misuse of Eau de Cologne the missing link in the death of Napoleon ?

The elephant in the room: is misuse of Eau de Cologne the missing link in the death of Napoleon ? Parvez I. Haris Faculty of Health & Life Sciences, De Montfort University, The Gateway, Leicester, LE1 9BH, E-Mail: [email protected] Conspiracy theories about Napoleon Bonaparte’s death started immediately after his death on the 5th of May 1821. A publication in Nature suggested he was murdered by arsenic poisoning due to detection of high arsenic levels in his hair [1] although this was refuted by later research. The ‘elephant in the room’ is Napoleon’s misuse of Eau de Cologne that has not been discussed in terms of its toxic effects. He consumed 2-3 bottles daily. It was rubbed on his body, poured on his head, and he drank and inhaled it as medication. After his death, Napoleon’s body was washed with Eau de Cologne [2] which contains 2-5% essential oils from citrus fruits and other plants dissolved in alcohol. Essential oils can act as endocrine disruptors [3] and many of the symptoms displayed by Napoleon can be attributed to this, including him developing breasts and having a hairless body. His suffering from seizures and feeling cold all the time can also be attributed to endocrine disrupting effects of the essential oils. Many years of exposure to excessively high concentrations of essential oil may have led him to develop gastric cancer. There are studies linking essential oil and endocrine disrupting chemicals to gastrointestinal cancer. Eau de Cologne was a double-edged sword for Napoleon. Due to its high alcohol content, its antiseptic property protected him from bacterial and viral infections during his military campaigns but the endocrine disrupting property of essential oils caused changes in his physical appearance, leading to illness and eventually death. References: [1] Forshufvud, S., Smith, H. and Wassén, A., 1961. Arsenic content of Napoleon I's hair probably taken immediately after his death. Nature, 192(4798), pp.103-105. [2] Weider, B. and Hapgood, D., 1998. The murder of Napoleon. iUniverse., pp. 4 [3] Henley, D.V., Lipson, N., Korach, K.S. and Bloch, C.A., 2007. Prepubertal gynecomastia linked to lavender and tea tree oils. New England Journal of Medicine, 356(5), pp.479-485

A Spectrum Sharing based Metering Infrastructure for Smart Grid Utilizing LTE and WiFi

In advanced metering infrastructure (AMI) of smart grid, WiFi is an appropriate choice for its bidirectional communication requirement to transmit data to the billing center. But, WiFi functions in the free spectrum bands and LTE also requires to use the same free bands for its network expansion being licensed spectrum is limited and expansive. LTE and WiFi can operate simultaneously in the 3.5 GHz band (also known as citizen broadband radio service (CBRS)), which has large amount of free and clean spectrum. In this paper, we propose a smart grid metering infrastructure based on fixed duty cycled LTE and WiFi, where smart meters and its’ data collectors (known as Access Point) use WiFi and LTE, respectively, for transferring data. Under a system level simulation environment, we investigated the LTE-WiFi coexistence performance in CBRS band considering a time division duplexing (TDD)-LTE associated with FTP traffic, and IEEE 802.11n (WiFi). The simulation performance demonstrates a good neighborhood coexistence between WiFi and LTE, which makes it a potential communication solution for the AMI

Allozyme variation in four hatchery populations of Thai pangas, Pangasius hypophthalmus in Bogra, Bangladesh

Genetic variation of four hatchery stocks of Thai pangas, Pangasius hypophthalmu [sic] of Bogra region, Bangladesh was studied from 1 January 2002 to 31 December 2003. Muscle samples were collected for allozyme analysis from four (Bhai-Bhai, Jahangir, Belal and Bhai-Bon) different hatchery populations. For allozyme electrophoresis, eight enzymes were used and 11 loci viz. Adh-1*, Est-1*, GJpdh-1*, Gpi-1*, Gpi-2*, Jdhp-1*, Ldh-1*, Ldh-2*, Mdh-1*, Mdh-2*and Pgm* were identified, of which three loci (Est-1*, Gpi-2*, G3pdh-1 and Pgm*) were polymorphic in all the four populations. The mean proportion of polymorphic loci per population and the mean proportion of heterozygous loci per individual was 36.36% and 13.33, respectively for all the population studied. The highest variability measured by the mean number of alleles per locus was 1.545 in Bhai-Bon hatchery population. Based on Nei's (1972) genetic distance, the dendrogram (UPGMA) shows that four populations have made two clusters by D-value (D=0.043). Bhai-Bhai and Jahangir hatchery populations have made cluster-I, and Belal Uddin and Bhai-Bon hatchery populations formed cluster-II. Among the four populations, BhaiBhai and Jahangir hatchery populations were differentiated from each other by the D-value of 0.013, and Belal Uddin and Bhai-Bon populations were differentiated from each other by the D-value of 0.002, which suggests that the four populations may be fallen into the local population or race

Can a healthy “water cycle” in the body prevent or delay dementia ?

Several factors that have been shown to be beneficial for protection against Alzheimer’s disease and other type of dementia appears to have in common the enhancement of water movement in the body through a cycle of “water loss” and “water gain”. Factors that contribute to this “water loss” and “water gain” cycle include physical exercise, sleep, Mediterranean diet, coffee, green tea, sauna, diuretic medications, etc. There is a link with water in all of these factors. Physical exercise leads to loss of water through breathing and sweating. This loss is compensated by drinking water after exercise and often water is also consumed before exercise. Sleeping leads to greater water loss, compared to the awake state, due to abstinence from food and water. This causes mild dehydration leading to shrinking of cells which increases the volume of the interstitial space enhancing the clearance of wastes from the brain. Water is consumed after waking up and this leads to swelling of cells and this circadian rhythm of cell shrinking and cell swelling may act like a “pump” that enhances waste clearance from the body. The Mediterranean diet contains water-rich foods which is beneficial for hydration. Coffee and green tea contain caffeine that has diuretic properties which assists in removing water from the body. Taking sauna enhances water loss (sweating) which is followed by “water gain” (drinking of water). Research have shown that those who take the diuretic medication, bumetanide, have significantly lower prevalence of Alzheimer's disease. According to the arguments presented here, this is also due to removal of water from the body that enhances a healthy movement of water in the body. A daily cycle of healthy “water gain” and “water loss” through sleep, physical activity & diet may offer a strategy for prevention and treatment of dementia

We must not forget that 99% of the total number of molecules present in a living organism is water

The file attached to this record is the author's final version. The Publisher's final version can be found by following the DOI lin

Online power quality disturbance detection by support vector machine in smart meter

Power quality assessment is an important performance measurement in smart grids. Utility companies are interested in power quality monitoring even in the low level distribution side such as smart meters. Addressing this issue, in this study, we propose segregation of the power disturbance from regular values using one-class support vector machine (OCSVM). To precisely detect the power disturbances of a voltage wave, some practical wavelet filters are applied. Considering the unlimited types of waveform abnormalities, OCSVM is picked as a semi-supervised machine learning algorithm which needs to be trained solely on a relatively large sample of normal data. This model is able to automatically detect the existence of any types of disturbances in real time, even unknown types which are not available in the training time. In the case of existence, the disturbances are further classified into different types such as sag, swell, transients and unbalanced. Being light weighted and fast, the proposed technique can be integrated into smart grid devices such as smart meter in order to perform a real-time disturbance monitoring. The continuous monitoring of power quality in smart meters will give helpful insight for quality power transmission and management

Multivariate analysis of the effects of age, particle size and landfill depth on heavy metals pollution content of closed and active landfill precursors

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Multivariate analysis of a heavy metal pollution survey of closed and active landfill precursors was carried out in order to compare environmental risk levels in relation to age, particle size and depth of the precursors. Landfill precursors (77) were collected and analyzed for 15 USEPA toxic heavy metals using ICP-MS. Heavy metals concentrations in closed landfill precursors were significantly higher than those in the active landfill for 11 of 15 heavy metals investigated (closed landfill order: Fe > Al > Mn > Cu > Pb > Ba> Co > Cr > Ni > Cd > As > Se > Ti). Cluster analysis and correlation studies indicated the distribution of the metals was more influenced by landfill precursor size than by depth of the sample. Principal component analysis (PCA) showed that 10 of 15 of heavy metals of both landfill precursors were from similar anthropogenic sources. Heavy metals pollution indices (Igeo > 5, EF > 40 and CF > 7) of both active and closed landfill precursors exceeded limits in the order of Zn > Cd > Pb > Cu > Ag, indicating a major potential health risk influenced by age and particle size of precursor. Zn, Cd, Cu and Pb of both landfill precursors exceeded the USEPA set standard for assessment of human health risk for each of the metals (1×10 -4 to 1× 10-3). This study highlights the need for the integration of a clean-up process for precursors from both types of landfill to reduce possible environmental pollution during a reuse process