City without a migrant?

‘City without a migrant’ is an oxymoron to imagine of a city in the entire world where there is not a single migrant who is residing within its boundaries. This paper attempts to contribute to the body of urban studies by looking into the relationship between migrants and city, analyzing the inclusive and exclusive perspectives and probing questions whether migrants have deteriorated the conditions of the cities or they have contributed (by extending their ‘cheap’ labour) in the vertical and horizontal expansion of the cities. The paper is divided into four sections. The first section looks into the relationship between cities and migrants from the inclusive and exclusive perspectives. The second section looks at the relationship between migrants and urbanization. The third section looks into the insider-outsider paradigm that is constructed to distinguish between the local and the migrants and how the migrants negotiate their identity in Guwahati, one of the largest urbanized cities in North-East India. The fourth section analyzes policies that are framed in the context of India for migrants and the way migrants are reflected in the policies. The paper is an attempt to show that flow of people and goods have existed since time immemorial. Though in recent times  flow of people into the city cannot simply be summed up in terms of ‘push and pull’ but there are several factors at work like globalization, urbanization, industrialization, capacity to aspire and find a new way of life which leads to the migration of people to the cities. The paper tries to bring out the positive side of migration to the cities highlighting the stereotypes and labelling process which a migrant has to undergo to promote the urbanization of cities

Query Reformulation: Data Integration Approach to Multi Domain Query Answering System

Data integration gives the user with a unified view of all heterogeneous data sources. The basic service provided by data integration is query processing. Whatever query posed to the system is being given to global schema which has to reformulate to sub queries that are to be posed to the local sources. Reformulation is being accomplished by mapping between global and local sources by Global-as-View (GAV), Local-as-view (LAV) and Global-local-as-view (GLAV) approach. When a query involves multiple domains, it is difficult to extract information in case of general service engines

Pattern of referral and management of oro-dental problems in patients with cancer: a retrospective study

Background: General dentistry care is of paramount importance in maintaining oral hygiene of cancer patients. Methods: The data of patients registered at the dental wing in a tertiary care cancer center for one year period (2013) was used for the present analysis. All the cases were retrospectively analyzed for the pattern of referral, diagnosis of different oro-dental conditions, and different interventions done for the various oro-dental conditions.Results: A total of 798 patients were referred from various oncology wings for management of oro-dental problems, 50.1% patients were referred from head and neck oncology, 31% were from radiation department, 6.2% patients were from medical oncology and palliative care department each, 4% patients were from gynecologic oncology, and 2.5% patients were from screening wing. Acute gingivitis (62%) in pre treatment and mucositis (28%) in post treatment were major symptoms and signs for referral. 47% patients were managed with tooth extraction, grinding was done on 23%, scaling were done on 12.5%, desensitization was done on 8.7% patients, filling was done on 2.5% patients, prosthesis fitting in 2.5% patients, root canal treatment in 2.2% patients, and post surgical obturator fittings in 0.75% patients. Conclusion: Majority of cancer patients were referred for oro-dental care from head and neck oncology department with head and neck cancers and extraction of tooth pre radiotherapy and chemotherapy remains an important part of oro-dental care in cancer patients.

Primary cutaneous tuberculosis associated with reactive cervical lymphadenopathy: a case report

Tuberculosis (TB) is a mycobacterial infection that most frequently occurs due to infection with Mycobacterium tuberculosis, an acid-fast bacillus. Cutaneous lesions are relatively uncommon manifestations of TB, occurring in only 1 to 2 percent of all infected patients.  Cutaneous tuberculosis can be acquired either exogenously or endogenously .We present here a case of primary cutaneous tuberculosis with reactive cervical lymphadenopathy.  A high index of suspicion is necessary for prompt diagnosis and treatment

Utility of telemedicine in COVID-19 pandemic: our experience at a tertiary cancer center in North East India

Background: Telemedicine is a very useful tool of communication between the doctor and the patient. The aim of this study was to find out the utility of telemedicine during the lockdown period of COVID-19 pandemic in North East India.Methods: It is a cross sectional study among the cancer patients at our center on follow up or ongoing treatment and analysis of all the data acquired from telephonic conversation with our patients from 30th March, 2020 to 3rd May, 2020. Have contacted 4181 patients during this period over phone. All phone calls were done by respective department doctors.Results: From the demographic data, we get that 35.4% of patients were at good physical condition, 3.5% with poor general condition, 11.6% patients having ongoing treatment in our institute, 21.1% patients expired, 0.9% patients have nonmalignant diagnosis, 1.4% patients left the institute due to various reasons. Analyzed this data with brain storming sessions amongst the COVID-19 task force doctors and tried to find out solutions of each problem.Conclusions: Telemedicine cannot replace conventional method of in person treatment, but it proved to be a useful tool during the COVID-19 pandemic for patient follow up and treatment of cancer patients

Peroxisome Proliferator-Activated Receptors Alpha, Beta, and Gamma mRNA and Protein Expression in Human Fetal Tissues

Peroxisome proliferator-activated receptors (PPARs) regulate lipid and glucose homeostasis, are targets of pharmaceuticals, and are also activated by environmental contaminants. Almost nothing is known about expression of PPARs during human fetal development. This study examines expression of PPARα, β, and γ mRNA and protein in human fetal tissues. With increasing fetal age, mRNA expression of PPARα and β increased in liver, but PPARβ decreased in heart and intestine, and PPARγ decreased in adrenal. Adult and fetal mean expression of PPARα, β, and γ mRNA did not differ in intestine, but expression was lower in fetal stomach and heart. PPARα and β mRNA in kidney and spleen, and PPARγ mRNA in lung and adrenal were lower in fetal versus adult. PPARγ in liver and PPARβ mRNA in thymus were higher in fetal versus adult. PPARα protein increased with fetal age in intestine and decreased in lung, kidney, and adrenal. PPARβ protein in adrenal and PPARγ in kidney decreased with fetal age. This study provides new information on expression of PPAR subtypes during human development and will be important in evaluating the potential for the developing human to respond to PPAR environmental or pharmaceutical agonists

A Hybridized Forecasting Model for Metal Commodity Prices: An Empirical Model Evaluation

Appropriate decision on perfect commodity prediction under market’s constant fluctuations intensifies the need for efficient methods. The main objective of this study is to apply different optimization algorithms such as conventional particle swarm optimization (PSO), bat algorithm (BAT) and ant colony optimization (ACO) algorithms on back propagation neural network (BPNN) to enhance the accuracy of prediction and minimize the error. In this paper, a model has been proposed for volatility forecasting using PSO algorithm to train the BPNN and predict the commodities’ closing price. The proposed PSO-BPNN model is considered as best forecasting model compared to BPNN, BAT-BPNN and ACO-BPNN. The experiment has been carried out upon five publicly available metal datasets (gold, silver, lead, aluminium, and copper) to forecast the price return volatility of those five metals challenging the effectiveness. Here, three technical indicators and four filters, such as; moving average convergence/divergence (MACD), williams %R (W%), bollinger (B), least mean squares (LMS), finite impulse response (FIR), Kalmanand recursive least square (RLS) have been applied for providing an additional degree of freedom to train and test the classifiers. From the experimental result analysis it has been found that the proposed PSO-BPNN produces promising output while comparing with BPNN, BAT-BPNN and ACO-BPNN

A Hybridized Forecasting Model for Metal Commodity Prices: An Empirical Model Evaluation

945-950Appropriate decision on perfect commodity prediction under market’s constant fluctuations intensifies the need for efficient methods. The main objective of this study is to apply different optimization algorithms such as conventional particle swarm optimization (PSO), bat algorithm (BAT) and ant colony optimization (ACO) algorithms on back propagation neural network (BPNN) to enhance the accuracy of prediction and minimize the error. In this paper, a model has been proposed for volatility forecasting using PSO algorithm to train the BPNN and predict the commodities’ closing price. The proposed PSO-BPNN model is considered as best forecasting model compared to BPNN, BAT-BPNN and ACO-BPNN. The experiment has been carried out upon five publicly available metal datasets (gold, silver, lead, aluminium, and copper) to forecast the price return volatility of those five metals challenging the effectiveness. Here, three technical indicators and four filters, such as; moving average convergence/divergence (MACD), williams %R (W%), bollinger (B), least mean squares (LMS), finite impulse response (FIR), Kalmanand recursive least square (RLS) have been applied for providing an additional degree of freedom to train and test the classifiers. From the experimental result analysis it has been found that the proposed PSO-BPNN produces promising output while comparing with BPNN, BAT-BPNN and ACO-BPNN