Foreign Direct Investment and Labour: The Case of Indian Manufacturing

This paper makes an attempt to evaluate the employment and wage effects of FDI in Indian manufacturing. The findings suggest that foreign firms do not have any adverse effects on the manufacturing employment in India as compared to their domestic counterparts while they significantly pay relatively higher to their workers. Therefore this study tends to imply that labour in fact had benefited from foreign investment in India.FDI; Labour; Wages; Employment

Analysis of ECG signal for Detection of Cardiac Arrhythmias

Electrocardiogram (ECG), a noninvasive technique is used as a primary diagnostic tool for cardiovascular diseases. A cleaned ECG signal provides necessary information about the electrophysiology of the heart diseases and ischemic changes that may occur. It provides valuable information about the functional aspects of the heart and cardiovascular system. The objective of the thesis is to automatic detection of cardiac arrhythmias in ECG signal. Recently developed digital signal processing and pattern reorganization technique is used in this thesis for detection of cardiac arrhythmias. The detection of cardiac arrhythmias in the ECG signal consists of following stages: detection of QRS complex in ECG signal; feature extraction from detected QRS complexes; classification of beats using extracted feature set from QRS complexes. In turn automatic classification of heartbeats represents the automatic detection of cardiac arrhythmias in ECG signal. Hence, in this thesis, we developed the automatic algorithms for classification of heartbeats to detect cardiac arrhythmias in ECG signal. QRS complex detection is the first step towards automatic detection of cardiac arrhythmias in ECG signal. A novel algorithm for accurate detection of QRS complex in ECG signal is proposed in chapter 2 of this thesis. The detection of QRS complex from continuous ECG signal is computed using autocorrelation and Hilbert transform based technique. The first differential of the ECG signal and its Hilbert transformed is used to locate the R-peaks in the ECG waveform. The autocorrelation based method is used to find out the period of one cardiac cycle in ECG signal. The advantage of proposed method is to minimize the large peak of P-wave and T-wave, which helps to identify the R-peaks more accurately. Massachusetts Institute of Technology Beth Israel Hospital (MIT-BIH) arrhythmias database has been used for performance analysis. The experimental result shows that the proposed method shows better performance as compared to the other two established techniques like Pan-Tompkins (PT) method and the technique which uses the difference operation method (DOM). For detection of cardiac arrhythmias, the extracted features in the ECG signal will be input to the classifier. The extracted features contain both morphological and temporal features of each heartbeat in the ECG signal. Twenty six dimension feature vector is extracted for each heartbeat in the ECG signal which consist of four temporal features, three heartbeat interval features, ten QRS morphology features and nine T-wave morphology features. Automatic classification of cardiac arrhythmias is necessary for clinical diagnosis of heart disease. Many researchers recommended Association for the Advancement of Medical Instrumentation (AAMI) standard for automatic classification of heartbeats into following five beats: normal beat (N), supraventricular ectopic beat (S), ventricular ectopic beat (V), fusion beat (F) and unknown beat (Q). The beat classifier system is adopted in this thesis by first training a local-classifier using the annotated beats and combines this with the global-classifier to produce an adopted classification system. The Multilayer perceptron back propagation (MLP-BP) neural network and radial basis function (RBF) neural network are used to classify the cardiac arrhythmias. Several experiments are performed on the test dataset and it is observed that MLP-BP neural network classifies ECG beats better as compared to RBF neural network

Foreign Direct Investment and Labour: The Case of Indian Manufacturing

This paper makes an attempt to evaluate the employment and wage effects of FDI in Indian manufacturing. The findings suggest that foreign firms do not have any adverse effects on the manufacturing employment in India as compared to their domestic counterparts while they significantly pay relatively higher to their workers. Therefore this study tends to imply that labour in fact had benefited from foreign investment in India

Interpreting the Demand for Koshala State in Orissa: Development versus Underdevelopment

This paper examines the rising demand for Koshala state in Orissa and looks for factors responsible for it. It found that the issue of underdevelopment and state apathy-cum-failures in addressing the same has been the single most important factor contributed for the demand for Koshala state. The study prescribes suitable policies for Orissa government to adopt to contain the demand for this new state

Interpreting the Demand for Koshala State in Orissa: Development versus Underdevelopment

This paper examines the rising demand for Koshala state in Orissa and looks for factors responsible for it. It found that the issue of underdevelopment and state apathy-cum-failures in addressing the same has been the single most important factor contributed for the demand for Koshala state. The study prescribes suitable policies for Orissa government to adopt to contain the demand for this new state

A Pan-India, Knowledge, Attitudes and Practices (KAP) Study of Healthcare Practitioners in India Regarding Immunomodulatory Role of Vitamin D Supplementation in COVID-19

Introduction: Vitamin D has immunomodulatory effects and vitamin D deficiency has been associated with autoimmune responses and increased risk of infections. Vitamin D-mediated antimicrobial and anti-inflammatory responses play an effective role in the prevention of various respiratory tract infections including coronavirus disease 2019 (COVID-19). Aims and objective: To evaluate the therapeutic role of vitamin D via immunomodulation in COVID-19 through a Knowledge, Attitudes and Practices (KAP) study of pan India healthcare practitioners (HCPs) to arrive at a common consensus statement regarding dosage and duration of vitamin D for immune-modulatory function. Methods: A pan-India, online, questionnaire-based, KAP survey was conducted on vitamin D and its role in immunomodulation in COVID-19 from April 2021 to January 2022 followed by polling obtained from 2,338 HCPs through round table meetings (RTMs). Results: Approximately 64% of HCPs considered the use of vitamin D in COVID-19 patients for various reasons including prevention of illness, reduced ICU stay, reduction in morbidity and mortality along with decrease in the levels of inflammatory markers in COVID-19 patients. For the dosage regime, 47% of HCPs preferred vitamin D 60,000 IUweekly while 45% of HCPs preferred both 60,000 IU weekly and 2,000 IU daily dose for boosting immune system in their patients. Conclusion: The panel agreed that vitamin D levels of 40 ng/mL and above appear to confer better immune-protective response to several infections including COVID-19

Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019

Background: Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated mortality, years lived with disability, years of life lost, disability-adjusted life years (DALYs), prevalence, and incidence of CRDs, i.e. chronic obstructive pulmonary disease (COPD), asthma, pneumoconiosis, interstitial lung disease and pulmonary sarcoidosis, and other CRDs, from 1990 to 2019 by sex, age, region, and Socio-demographic Index (SDI) in 204 countries and territories. Deaths and DALYs from CRDs attributable to each risk factor were estimated according to relative risks, risk exposure, and the theoretical minimum risk exposure level input. Findings: In 2019, CRDs were the third leading cause of death responsible for 4.0 million deaths (95% uncertainty interval 3.6–4.3) with a prevalence of 454.6 million cases (417.4–499.1) globally. While the total deaths and prevalence of CRDs have increased by 28.5% and 39.8%, the age-standardised rates have dropped by 41.7% and 16.9% from 1990 to 2019, respectively. COPD, with 212.3 million (200.4–225.1) prevalent cases, was the primary cause of deaths from CRDs, accounting for 3.3 million (2.9–3.6) deaths. With 262.4 million (224.1–309.5) prevalent cases, asthma had the highest prevalence among CRDs. The age-standardised rates of all burden measures of COPD, asthma, and pneumoconiosis have reduced globally from 1990 to 2019. Nevertheless, the age-standardised rates of incidence and prevalence of interstitial lung disease and pulmonary sarcoidosis have increased throughout this period. Low- and low-middle SDI countries had the highest age-standardised death and DALYs rates while the high SDI quintile had the highest prevalence rate of CRDs. The highest deaths and DALYs from CRDs were attributed to smoking globally, followed by air pollution and occupational risks. Non-optimal temperature and high body-mass index were additional risk factors for COPD and asthma, respectively. Interpretation: Albeit the age-standardised prevalence, death, and DALYs rates of CRDs have decreased, they still cause a substantial burden and deaths worldwide. The high death and DALYs rates in low and low-middle SDI countries highlights the urgent need for improved preventive, diagnostic, and therapeutic measures. Global strategies for tobacco control, enhancing air quality, reducing occupational hazards, and fostering clean cooking fuels are crucial steps in reducing the burden of CRDs, especially in low- and lower-middle income countries

The global burden of cancer attributable to risk factors, 2010-19 : a systematic analysis for the Global Burden of Disease Study 2019

Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Peer reviewe