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This paper examines the timing of one‐time fluctuations in births subsequent to the 1918 influenza pandemic in Madras (now Chennai), India. After seasonally decomposing key demographic aggregates, we identified abrupt one‐time fluctuations in excess births, deaths, and infant deaths. We found a contemporaneous spike in excess deaths and infant deaths and a 40‐week lag between the spike in deaths and a subsequent deficit in births. The results suggest that India experienced the same kind of short‐term postpandemic "baby bust" that was observed in the United States and other countries. Identifying the mechanisms underlying this widespread phenomenon remains an open question and an important topic for future research. [ABSTRACT FROM AUTHOR]

In India, water contamination is a serious environmental issue. Untreated sewage is typically the main cause of water contamination in India. Protecting water quality for sustainable livelihoods and poverty reduction becomes a greatest challenge with the technological change and population growth. Measurement of Water Quantity and Real Time Monitoring becomes mandate to advance the water stewardship. In this paper, to keep track of the quality, smart water quality monitoring system(Ph, temperature, turbidity) and analysing of water quantity (flow or level) based on IOT is proposed for the study area of Okkiyam Maduvu, watershed in Chennai. This system is implemented using various sensors to measure the water quality like Ph, temperature, turbidity sensor and for analysing water water quantity used flow or level sensors. All these sensors are controlled by using the microcontroller - Arduino ESP32. This proposed system is placed in the study area Okkiyam Maduvu watershed to monitor water quality and quantity and visualized those sensed data using the IOT platform through Blynk App. This helps to know the water level and its quality of Okkiyam Maduvu watershed and it helps to take necessary precaution if the water quality is reduced and its level raised beyond the level. [ABSTRACT FROM AUTHOR]

Air is one of the most fundamental constituents for the sustenance of life on earth. The meteorological, traffic factors, consumption of nonrenewable energy sources, and industrial parameters are steadily increasing air pollution. These factors affect the welfare and prosperity of life on earth; therefore, the nature of air quality in our environment needs to be monitored continuously. The Air Quality Index (AQI), which indicates air quality, is influenced by several individual factors such as the accumulation of NO2, CO, O3, PM2.5, SO2, and PM10. This research paper aims to predict and forecast the AQI with Machine Learning (ML) techniques, namely linear regression and time series analysis. Primarily, Multilinear Regression (MLR) model, supervised machine learning, is developed to predict AQI. NO2, Ozone(O2), PM 2.5, and SO2 sensor output collected from Central Pollution Control Board (CPCB), Chennai region, India, fed as input features and optimized AQI calculated from sensor's output set as a target to train the regression model. The obtained model parameters are validated with new and unseen sensor output. The Key Performance Indices (KPI) like coefficient of determination, root mean square error, and mean absolute error were calculated to validate the model accuracy. The K-cross-fold validation for testing data of MLR was obtained as around 92%. Secondly, the Auto-Regressive Integrated Moving Average (ARIMA) time series model is applied to forecast the AQI. The obtained model parameters were validated with unseen data with a timestamp. The forecasted AQI value of the next 15 days lies in a 95 % confidence interval zone. The model accuracy of test data was obtained as more than 80%. [ABSTRACT FROM AUTHOR]

This paper reports the development of a public transport trip planner to help the urban traveller in planning and preparing for his commute using public transportation in the city. A Genetic Algorithm (GA) approach that handles realtime Global Positioning Systems (GPS) data from buses of the Metropolitan Transport Corporation (MTC) in Chennai City (India) has been used to develop the planner. The GA has been shown to provide good solutions within the problem's computation time constraints. The developed trip planner has been implemented for static network data first and subsequently extended to use real-time data. The "walk mode" and Chennai Mass Rapid Transit System (MRTS) have also been included in the geospatial database to extend the route-planner's capabilities. The algorithm has subsequently been segmented to speed up the prediction process. In addition, a temporal cache has also been introduced during implementation, to handle multiple queries generated simultaneously. The results showed that there is promise for scalability and citywide implementation for the proposed real-time route-planner. The uncertainty and poor service quality perceived with public transport bus services in India could potentially be mitigated by further developments in the route-planner introduced in this paper. [ABSTRACT FROM AUTHOR]

Energy is an efficient source in the present world and it is very significant. Huge building systems such as luxury hotels, commercial complex, malls and educational institutes require chiller plants for air-conditioning purpose in their premises. In this paper, a case analysis on energy savings and efficiency improvement of a chiller plant is done for a luxury hotel building located at Chennai, Tamil Nadu, India. The building consists of carrier make 2 Nos. 633 kW/180 TR and 1 No. 1185 kW/337 TR water cooled chillers. The chiller plant system at the site consumes up to 43% of the facility's annual energy cost. To increase the energy savings and efficiency of existing system and to achieve a lower number on the Specific Power Consumption (SPC), the existing chiller plant is retrofitted with 1 No. 879 kW/250 TR Premium efficiency chiller and an energy analysis is done by simulating the proposed chiller using Chiller Plant Automation (CPA) software and by understanding the energy usage of the chiller as per the site operating load and weather conditions. With the change in chiller, the system efficiency of the hotel increased by 40% and the energy consumption reduced to 38%. [ABSTRACT FROM AUTHOR]

William J. Niblock (WJN), an Assistant Surgeon at the Madras General Hospital (MGH), published a paper 'Cancer in India' (2 pages of text and 3 pages of tables) in the Indian Medical Gazette in 1902. He appears to have been a popular surgeon in Madras who surgically treated mouth cancers, testicular filariasis, and calcareous stones in the liver, gall bladder, and kidney. His 'Cancer in India' article is a compilation of numerical data of different cancers recorded in MGH from 1892 to 1901 mostly, and from 1896 to 1901 occasionally. In this article, WJN refers to cancers of different internal organs and external parts. He attributes the mouth cancers to constant chewing of 'betel' (the betel quid), which he explains as giving rise to leukoplakia, forerunner of buccal carcinoma. He supplies many, easily comparable, paired tables. These tables are made of raw numbers about the diverse human populations living in Madras, such as the Indians (Hindus and Muslims), Europeans, and Eurasians (Anglo-Indians) extracted from the 10-year records of MGH. None of the tables has been analyzed statistically. Nevertheless, he supplies the total numbers of admissions into MGH, which serve usefully as denominators in this study; occasionally, he presents data as percentages. Despite the lack of parametric statistical analysis, WJN's article, written in 1902, impresses as a useful contribution, because it provides a cross-sectional view of cancer incidence in Madras, particularly in defiance of Saldanha's supposition that cancers do not manifest in dark-skinned people, such as Indians. [ABSTRACT FROM AUTHOR]

This paper discusses about the results of a short term monitoring study of sea coast contaminated with oil spill. Collision of two oil-cargo ships, namely BW Maple and MT Dawn Kanchipuram near the Ennore Port, Chennai had released an approximately 200 tonnes of heavy fuel oil. We analyzed four different oil spill samples collected from Chennai beaches for different time intervals (1st, 3rd, 6th, 10th day of oil spill) from 1 km away from the source of the off shore spill location. The physicochemical characteristics of spilled oil sludge, concentration of total petroleum hydrocarbons (TPH) and polycyclic aromatic hydrocarbons (PAHs) present in the spilled oil were investigated. The variations in pH, moisture content and volatile hydrocarbon content, viscosity and density of the spilled oil were in the range of 7 ± 0.2, 255–575 g/kg, 118 to 850 PaS and 1.04 to 0.98 g/cm3 respectively. Elemental analysis showed that C, H, N and S were in the range of 9.9–13.3 (%), 0.63 to 1.76 (%), 1.88 to 1.02 (%) and 0.29 to 0.27 (%) respectively. Analysis of oil spill samples using gas chromatography and mass spectrometry (GCMS) shows the presence of recalcitrant and hazardous PAHs such as fluoranthene and pyrene. Ocean sediments were collected at different locations along the coast line from Ennore to Cooum after 60 days of oil spill and analyzed for TPH in GCMS. The results showed that the residual concentrations of TPH varied from 0.19 to 3.43 mg/g. The presence of heavy PAHs, which are highly toxic and recalcitrant, could pose a severe threat to the marine environment and ecology.The long term effects of these compounds were unexplored on marine environment. This environmental monitoring study gives an overview about the post oil spill activities and steps taken to remediate the sludge along the coastline. Image 1 • This study highlights the immediate fate and characteristics of the Chennai oil spill over a short period. • Total petroleum hydrocarbon concentration increased from third day to sixth day and then stabilized. • Viscosity of the spilled oil increased eight times from day1 to day 10 after the oil spill. • Priority pollutants such as Fluoranthene and pyrene were identified in beach sediments using GC-MS. [ABSTRACT FROM AUTHOR]

Cancer is known to be one of the leading causes of mortality in the world. There were about 14.1 million incidences and 8.2 million deaths due to cancer globally. In terms of mouth cancer Age Standardized Rate is 4.0 per 100000 populations worldwide and 7.2 per 100000 populations in India. In Chennai, mouth cancer burden has significantly increased over the past decade irrespective of geographical region. In this paper, the mouth cancer incidence is used to analyze the spatial distribution for high risk and low risk areas of different zones in Chennai by gender for the period of 2004-2013. The aim of this study is to fit a Poisson Gamma model and to explore the Empirical Bayesian and frequentist approach for disease mapping of mouth cancer incidence for Chennai zones by sex. The results of the estimates reveal that the empirical Bayesian estimate is more stable than the conventional frequentist estimates. [ABSTRACT FROM AUTHOR]

This paper explores beauty ideals prevalent among young women in Chennai, India. It is part of a larger project that contributes to the emerging scholarship around women's experiences in the rapidly changing landscape of urban India, with a focus on young female rural to urban migrants living in the city of Chennai (their destination). Drawing on findings from an ethnographic study of women living in hostel accommodation conducted in 2015 and 2016, I consider the talk, observations, and beauty practices of the research participants. In particular, I explore the ways in which 'lighter' skin colour is privileged as more desirable and how participants both reproduce and contest this construction. The discussion here delves into the obsessive aspiration for lighter skin, its gendered dimensions, and its reflection in online spaces. [ABSTRACT FROM AUTHOR]

Shrimp trawling represents an important fishing métier in South India, generating high levels of employment and economic value. It is also a contested métier, ostensibly contributing to environmental degradation and social inequality. This paper investigates the job satisfaction of crew members (captains and workers) on board the shrimp trawlers of Chennai (former Madras). Research took place in 2007 and 2008 (N = 137). Results suggest a general satisfaction with being in the fishery. However, a little over three-fifths of fishers said they would be willing to change fishing métier and about one-half said they would leave the occupation. About one-half also said they would not advise a young person to enter the occupation. The tendency to move away from the fishery is argued to reflect a growing pessimism about the future of the shrimp trawl fisheries, but also an increasing awareness of other economic opportunities. [ABSTRACT FROM AUTHOR]

Link performance functions commonly used for traffic assignment are often based on Volume Delay Functions (VDF) developed for homogeneous traffic. However, VDFs relating stream speed to the volume of traffic based on homogeneous lane-based traffic are not adequate for traffic assignment in developing countries due to the heterogeneous nature of traffic that is characterized by a mix of a wide range of vehicle classes with significant differences in static and dynamic characteristics and an imperfect lane discipline. Unfortunately, the use of VDFs similar to those for homogeneous traffic flow situations imposes strong restrictions considering two respects: 1) travel times at path and link levels can be obtained for an aggregated stream but not for individual vehicle types; 2) the effect of varying composition and asymmetric interactions is captured only to a limited extent by converting all vehicles into equivalent Passenger Car Unit (PCU). Hence, this paper proposes the development of VDFs specific to different classes of heterogeneous traffic, as it is more realistic in traffic assignment than the use of the same VDF for all classes of vehicles in a link. This study is aimed at developing models to determine the speed of each vehicle class as a function of flow and composition for six lane roads with heterogeneous traffic based on data obtained from Chennai city, India. Heterogeneity in this study mainly refers to differences in vehicle types (two-wheeler, car, bus, etc.) participating in mixed traffic. To develop multiple user class VDFs, the speed and flow of each vehicle class for a wide range of traffic flow conditions need to be recorded. As this is not possible using field measurements, an established micro-simulation model (HETEROSIM) is used for determining speeds for each vehicle type by systematically varying the volume and composition levels over a range of values that represent relevant and practical traffic conditions observed in six lane divided roads in Chennai city. The proposed delay functions are different from standard single user class VDFs in three key respects: first, they enable more realistic behaviour by modelling differences in class wise speeds at a given volume and composition level; second, they allow for capturing asymmetric interactions of different vehicle types on an average speed of a given vehicle class. Finally, speed-flow relationships for each class are also allowed to vary across volume levels which enable the representation of differential interactions at different levels of congestion in mixed traffic. The need for homogenizing the volumes in terms of a single class is obviated. The models significantly outperformed single class VDFs in both calibration and validation datasets. Further, the proposed models are used for analyzing heterogeneous traffic characteristics. Empirical evidence of asymmetric interactions and the impact of composition on classwise performance are also found and quantified. Finally, two applications of the proposed models are demonstrated for the level of service analysis of different classes and impact analysis of excluding some classes. The proposed models may have applications such as determining class wise road user costs and performance measures (e.g. emissions) that depend on class-specific speeds. [ABSTRACT FROM AUTHOR]

This paper analyzes the 1977 Tamil-language Honeymoon Couple, written by Crazy Mohan for comedian Kathadi Ramamurthy, as a typical play that illustrates the basic content as well as structural and aesthetic characteristics of the sabha theatre genre. This work exhibits the major traits that in my analysis constitute the genre: patronage by sabhas, with their middle-class, usually Brahmin, audience base; a central theme concerning marriage alliances and/or married life; scripted witty dialogue with a thin plot and one-liner jokes, often including language jokes that code-switch between Tamil and English; a socially conservative message; and an "amateur aesthetic" that involves minimal sets, costumes, and lighting, and two-hour evening or weekend matinee performances. The reading of Kathadi Ramamurthy's Honeymoon Couple illustrates the flamboyant quotidian nature of the pure comedy plays that focus on fast-paced dialogue filled with jokes, puns, and allusions, and works from that humor to a deeper understanding of middle-class Tamil Brahmin culture. Kristen Rudisill is an assistant professor in the Department of Popular Culture and affiliated faculty with the Asian Studies Program at Bowling Green State University. She earned her PhD in Asian studies from the University of Texas at Austin. She is currently working on a book manuscript about the sabha theatre in Chennai as well as a book of translations of sabha plays. Her new project concerns Tamil film dance competitions. [ABSTRACT FROM AUTHOR]

Unlabelled: Background: During 2001-2007, the National Institute of Epidemiology (NIE), Chennai, Tamil Nadu, India admitted 80 trainees in its two-year Field Epidemiology Training Programme (FETP). We evaluated the first seven years of the programme to identify strengths and weaknesses.Methods: We identified core components of the programme and broke them down into input, process, output and outcome. We developed critical indicators to reflect the logic model. We reviewed documents including fieldwork reports, abstracts listed in proceedings and papers published in Medline-indexed journals. We conducted an anonymous online survey of the graduates to collect information on self-perceived competencies, learning activities, field assignments, supervision, curriculum, relevance to career goals, strengths and weaknesses.Results: Of the 80 students recruited during 2001-2007, 69 (86%) acquired seven core competencies (epidemiology, surveillance, outbreaks, research, human subjects protection, communication and management) and graduated through completion of at least six field assignments. The faculty-to-student ratio ranged between 0.4 and 0.12 (expected: 0.25). The curriculum was continuously adapted with all resources available on-line. Fieldwork led to the production of 158 scientific communications presented at international meetings and to 29 manuscripts accepted in indexed, peer-reviewed journals. The online survey showed that while most graduates acquired competencies, unmet needs persisted in laboratory sciences, data analysis tools and faculty-to-student ratio.Conclusions: NIE adapted the international FETP model to India. However, further efforts are required to scale up the programme and to develop career tracks for field epidemiologists in the country. [ABSTRACT FROM AUTHOR]

Abstract: In India the emissions rate and fuel consumption of intra-city buses are estimated using the European driving cycles, which don’t represent Indian driving conditions and in-use operation of vehicles. This leads to underestimation or overestimation of emissions and fuel consumption. In this context, this paper offers some insight into the driving characteristics of intra-city buses using a Global Positioning System. The study has revealed that irrespective of road type and time of travel, a higher percentage of time is spent in idle mode. This is primarily due to alighting and boarding of passengers at regular intervals and fixed delays caused by traffic lights. More than 90 percent of trips have an average speed of less than 30 km h−1. This study has also developed an intra-city bus driving cycle for Chennai and compared it with some well-known international driving cycles. It has revealed that Chennai has unique driving characteristics and, therefore, it may not be appropriate to adopt a driving cycle of another country or city. [Copyright &y& Elsevier]

Abstract: This paper presents different types of premature failures observed during full-scale testing of Transmission line towers at Tower Testing and Research Station, Structural Engineering Research Centre, Chennai. Failures that have been observed during testing are studied and the reasons are discussed in detail. The effect of non-triangulated hip bracing pattern and isolated hip bracings connected to elevation redundants in ‘K’ and ‘X’ braced panels, on tower behaviour are studied. The tower members are modeled using beam-column and plate elements. Different types of failures are modeled using finite element software and the analytical results and the test results are compared with various codal provisions. The non-linear finite element analysis program NE-NASTRAN has been used to model the elasto-plastic behaviour of towers. Importance of secondary member design and connection detail in overall performance of the tower was studied. Non-linear finite element analysis is useful in understanding the system behaviour and for prediction of failure pattern and ultimate load. Based on the test results the importance of studying the failures is highlighted. The need for testing of transmission line towers is emphasized. [Copyright &y& Elsevier]

Abstract: The newly constructed port in 2001 at Ennore, on the southeast coast of India near Chennai, with breakwaters on either side (north and south) has been causing large-scale changes in nearshore morphology. Beach profiles and shoreline positions along 25 km coastline of Ennore were measured at regular intervals during 2001–06 to understand the sediment transport patterns in the region. At the same time the results of wave hind-casting and wave transformation modeling were incorporated in LITDRIFT model to compute the sediment transport rates along Ennore coast. The model results are compared with the sediment transport values obtained from beach profile measurements. The performance of the model at different locations within the study area with variable wave conditions has been examined. The annual net sediment loss (−) versus accumulation (+) were estimated for two smaller study areas (cells) containing ten regularly spaced beach profiles numbered from north to south, BP1-5 in cell I and BP6-10 in cell II. For the cell I region, which is protected by the Ennore shoals and where human interference is minimum, the annual net sediment supply is +0.02×106 m3 as obtained from beach profile measurements while the model gave a value of +0.014×106 m3. For the cell II region where there is large human intervention by way of Ennore port development and breakwater construction, the annual net sediment movement as obtained by the beach measurements is −0.14×106 m3 while the model gave a value of −0.154×106 m3. It is found that the performance of the model is satisfactory and the model may be used successfully to study sediment dynamics along any coastline provided one has detailed understanding of the coastline orientation, nearshore topography, cross-shore bathymetry and prevailing annual wave climate. Based on the sediment transport data and beach profile measurements the beach and shoreline changes for transect locations BP-1 to BP-10 are also critically examined in this paper. [Copyright &y& Elsevier]

The north Chennai coast, on the east coast of India, experiences severe erosion caused by waves, and an area of the beach about 600 m wide has eroded over the past 120 years. To protect the seafront, natural stones were dumped by government agencies along the coast for a distance of about 6 km, and in the process, a short beach pocket 400 m long was left unprotected for various reasons. Because the property of a chemical factory located in this 400-m stretch of beach pocket suffered damage caused by erosion, and because the need for a wide beachfront was stressed by local fishermen, an alternative method of protecting the beach was suggested. The proposal involved construction of an S-type rubble sea wall about 100 m long on the southern end of the beach pocket. This paper discusses the numerical model studies conducted to determine the configuration of the S-type rubble sea wall and its effectiveness in beach protection. The model studies suggested a length of projection of 14 m with a radius of curvature of 310 m for the S-type sea wall to achieve the desired performance. Field studies conducted on the 40-m-wide and 400-m-long beach pocket with the 100-m-long S-type sea wall indicate that the sea wall is effective in protecting the beach. [ABSTRACT FROM AUTHOR]