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The computational model proposed in this work uses the data's of COVID-19 cases in India. From the analysis, it can be observed that the proposed immunity model decides the recovery rate of COVID −19 patients; moreover, the recovery rate does not depend on the age of the patients. These analytic models can be used by public health professionals, hospital administrators and epidemiologists for strategic decision-making to enhance health requirements based on various demographic and social factors of those affected by the pandemic. Mobile-based computational model can be used to compute the travel history of the affected people by accessing the near geographical maps of the path traveled.

In this paper, the authors developed a pediatric and geriatric person’s immunity network-based mobile computational model for COVID-19 patients. As the computational model is hard to analyze mathematically, the authors simplified the computational model as general COVID-19 infected people, the computational immunity model. The model proposed in this work used the data's of COVID-19 cases in India.

This study proposes a pediatric and geriatric people immunity network model for COVID- 19 patients. For the analysis part, the data's on COVID-19 cases in India was used. In this model, the authors have taken two sets of people (pediatric and geriatric), both are facing common symptoms such as fever, cough and myalgia. From the analysis, it was observed and also proved that the immunity level of patients decides the recovery rate of COVID-19 patients and the age of COVID-19 patients has no significant influence on the recovery rate of the patient.

COVID-19 has created a global health crisis that has had a deep impact on the way we perceive our world and our everyday lives. Not only the rate of contagion and patterns of transmission threatens our sense of agency, but the safety measures put in place to contain the spread of the virus also require social distancing. The novel model in this work focus on the Indian scenario and thereby may help Indian health organizations for future planning and organization. The factors model in this work such as age, immunity level, recovery rate can be used by machine leaning models for predicting other useful outcomes.

The authors consider parallel four-state tandem open queueing network. The queue capacity is infinite. Passenger arrival rate is Poisson distribution and service rate is exponential distribution. The queue is constructed in the form of tandem queue, and each and every queue of tandem queue is single server (M/M/1) queue. In tandem queue, passengers will leave the system once they receive service from both the states. The purpose of this paper is to provide performance analysis for four-state tandem open queue network, and a governing equation is formulated with the help of transition diagram. Using Burke theorem, the authors formulated equation for average number of passenger in the system, average waiting time of passenger in the system, average number of passenger in the queue and average waiting time of passenger in the queue.

This paper used Burke’s theorem.

In this paper, performance analysis is done for parallel four-state tandem open queueing network and performance measure solved using Burkes theorem formula. K. Sreekanth et al. has done performance analysis for single tandem queue with three states. In this paper, the authors have done performance analysis for two tandem queues parallel with four states. This four-state tandem open queueing network is suitable for real world applications. This paper can extend for more number of service states and multi-server states according to the application, and in such case, the authors have to prove and explain with numerical examples. This analysis is more useful for the applications such as airports, railway stations, bus-stands and banks.

In this paper, parallel four-state tandem open queueing network and performance measure has been solved using Burke’s theorem formula.

Atmospheric corrosion of mild steel, copper and zinc was studied in SO₂ environment under dynamic flow conditions by weight loss measurements, and their corrosion prevention by the use of volatile corrosion inhibitors such as cyclohexylamine (CHA) and dicyclohexylamine (DCHA) is discussed. These studies assume importance as SO₂ is one of the dominant pollutants in the atmosphere and more so in industrial belts affecting the stability of metal articles to a greater extent.

This chapter sheds light on the ‘country of origin’ concept. The author contends that this concept is composed of micro- and macro-components. He argues that the tourists’ hedonic and monetary gratifications are derived from the travel experiences. Therefore, the country-of-origin image (COI) can have an impact on the destination’s brand extension. In this light, this contribution examines the relationship among COI, overall brand equity and brand extension. The author implies that the hedonic and monetary values can have a moderating effect on the impact of COI and on destination brand extension.

Hydroxy terminated polyesters were prepared by the reaction of tetrabromophthalic, phthalic, and maleic anhydrides with polyethylene glycol via melt condensation technique. They were characterized by hydroxy number, and intrinsic viscosity measurements. Also, the fire retardancy of polyesters was evaluated as varnish films on plywood strips. The polyesters were reacted with excess toluene ‐2, 4‐ diisocyanate to yeild isocyanate terminated prepolymers which were subsequently reacted with 5, 5‐ dihydroxymethyl‐2‐trichloro‐methyl‐1,3‐ dioxane or ethelene diamine. These polymers were characterized by Ir and ¹H NMR spectra, viscosity measurements, and thermogravimetric analysis.

The purpose of this study is to estimate the cost of seismic resilience of identified vulnerable lifeline public buildings in earthquake-prone Himalayan province of Uttarakhand in India.

Built area of the identified vulnerable lifeline buildings together with prevalent rate of construction has been considered for assessing the cost of seismic resilience while improvised rapid visual screening (RVS) technique, better suited to the built environment in the region, has been used for assessing seismic vulnerability.

Investment of US$250.08m is assessed as being required for ensuring seismic safety of 56.3, 62.1, 52.9, 64.6, 71.9 and 61.7% surveyed buildings, respectively, of fire and emergency services, police, health, education, local administration and other departments that are to become non-functional after an earthquake and result in a major socio-political turmoil. A total amount of US$467.71m is estimated as being required for making all the buildings of these departments seismically resilient.

Actual investment estimates and reconstruction/retrofitting plans have to be prepared after detailed investigations as RVS technique only provides a preliminary estimate and helps in prioritising buildings for detailed investigations.

This study is intended to provide a snapshot of the state of seismic vulnerability together with the financial resources required for corrective measures. This is to help the authorities in planning phased mobilisation of financial and technical resources for making the built environment seismically resilient.

This study is to bring forth awareness on this important issue and consequent public opinion in favour of safety of public facilities to ensure allocation of appropriate financial resources together with changes in techno-legal regime for the cause of earthquake safety. At the same time, this study is to motivate masses to voluntarily assess safety of their neighbourhood and undertake corrective measures.

This study is based on primary data collected by the authors.

The purpose of this paper is to make people aware of organic corrosion inhibitors.

As it is a literature review paper, no specific method is used.

It has been found that plant extracts and oils show inhibition efficiency up to 98 percent, so it is certain that plant extracts and oils are effective corrosion inhibitors and can be successfully used at the industrial level.

Plant extracts and oils are also found to be non‐toxic, highly efficient, renewable and cheap. But less effort has been given towards the identification of which compound is active in the extract.

The paper shows detailed account of the inhibitors obtained from plants, which are used as natural corrosion inhibitors.

The purpose of this paper is to present an assessment of the potential tsunamigenic seismic hazard to Sri Lanka from all active subduction zones in the Indian Ocean Basin.

The assessment was based on previous studies as well as past seismicity of the subducion zones concerned.

Accordingly, four seismic zones capable of generating teletsunamis that could reach Sri Lanka have been identified, namely, Northern Andaman‐Myanmar, Northern Sumatra‐Andaman and Southern Sumatra in the Sunda trench and Makran in the Northern Arabian Sea. Moreover, plausible worst‐case earthquake scenarios and respective fault parameters for each of these seismic zones have been recommended.

However, other potential tsunami sources such as seismic activity in the near‐field, submarine landslides and volcanic eruptions have not been considered.

Numerical simulations of tsunami propagation have been carried out for each of the four scenarios in order to assess the potential impact along the coastline of Sri Lanka. Such information relating to the spatial distribution of the likely tsunami amplitudes and arrival times for Sri Lanka would help authorities responsible for evacuation to make a better judgment as to the level of threat in different areas along the coastline, and act accordingly, if a large earthquake were to occur in any of the subduction zones in the Indian Ocean.

In the absence of comprehensive probabilistic assessments of the tsunami hazard to Sri Lanka, this paper's recommendations would provide the necessary framework for the development of deterministic tsunami hazard maps for the shoreline of Sri Lanka.

This study aims to examine the impact of green marketing adoption on non-profitable organizations’ performance in Jordan.

A structured questionnaire was developed to collect the needed data and test the developed hypotheses to investigate the impact of green marketing adoption on non-profitable organizations’ performance. The data was collected using a self-administered questionnaire distributed to 183 respondents in non-profitable organizations operating in Jordan.

The findings indicate that the extent of green marketing adoption by profitable organizations in Jordan is relatively moderate. They also confirm that the corporate performance of non-profitable organizations is positively associated with the extent of adoption of green marketing dimensions, particularly environmental and social responsibility aspects.

Reviewing the existing literature revealed that similar studies had not previously been undertaken in Jordan as a developing country.