Estimation and Determinants of Chronic Poverty in India : An Alternative Approach

The paper conceptualizes chronic poverty by using the spaces of income and nutrition and estimates its incidence among states and social groups. It also aims to improve our understanding of the determinant of chronic poverty by considering economic, demographic and social factors. It attempts to answer the following questions : How important a determinant of chronic poverty is household income? What factors inhibit escape from chronic poverty? How different are the other poor from chronic poor? The analysis uses the unit level NSS and NFHS data.Chrinic Poverty, India

Estimation and determinants of chronic poverty in India: An Alternative approach

The paper conceptualizes chronic poverty by using the spaces of income and nutrition and estimates its incidence among states and social groups. It also aims to improve our understanding of the determinant of chronic poverty by considering economic, demographic and social factors. It attempts to answer the following questions: How important a determinant of chronic poverty is household income? What factors inhibit escape from chronic poverty? How different are the other poor from chronic poor? The analysis uses the unit level NSS and NFHS data.

Node activity based trust and reputation estimation approach for secure and QoS routing in MANET

Achieving safe and secure communication in MANETs is a key challenge due to its dynamic nature. A number of security studies disclose that reputation management systems are able to be effectual with less overhead. The reputation of a node is calculated by using automated assessment algorithms depend on predefined trust scheme. This paper proposes a Node Activity-based Trust and Reputation estimation (NA-TRE) approach for the security and QoS routing in MANET. NA-TRE aims to find trust estimation and reputation of a node. The NA-TRE approach monitors the activity changes, packet forwarding or dropping in a node to find the status of the node. The various activities of a node like Normal State (NS), Resource Limitation State (RS) and Malicious State (MS) are monitored. This status of a node is helpful in computing trust and reputation. In this paper NA-TRE approach compared with existing protocols AODV, FACE and TMS to evaluate the efficiency of MANET. The experiment results show that 20% increasing of throughput, 10% decrease of overhead and end to end delay

Discosiella Sydow and Discosiellina gen. nov.

Discosiella cylindrospora H. and P. Sydow, the type species of the genus Discosiella H. and P. Sydow, is redescribed from a study of type material. It is concluded that the conidial appendages of this fungus are mucoid in nature, a fact not mentioned by the Sydows in their diagnosis and description. The diagnosis of Discosiella is suitably emended. From the original description of D. longiciliata Agnihothrudu, supplemented by a study of the type material of this species, it is concluded that it cannot be retained in the genus Discosiella as emended in this paper and is now accommodated in a new genus Discosiellina as D. longiciliata (Agnihothrudu) comb. nov

Stochastic Model and Computational Measures of Batch Process Queuing System with Hetero Multiservers

Multiprocessor system models at present are very important and widely used in modelling transaction processing systems, communication networks, mobile networks, and flexible machine shops with groups of machines. Heterogeneous processors system with one main server and several identical servers are studied. In this paper, reconfiguration and rebooting delays are considered to study the performance measures for both bounded and unbounded system. Numerical results are presented for various performability parameters

The dynamics and control of large flexible space structures-V

A general survey of the progress made in the areas of mathematical modelling of the system dynamics, structural analysis, development of control algorithms, and simulation of environmental disturbances is presented. The use of graph theory techniques is employed to examine the effects of inherent damping associated with LSST systems on the number and locations of the required control actuators. A mathematical model of the forces and moments induced on a flexible orbiting beam due to solar radiation pressure is developed and typical steady state open loop responses obtained for the case when rotations and vibrations are limited to occur within the orbit plane. A preliminary controls analysis based on a truncated (13 mode) finite element model of the 122m. Hoop/Column antenna indicates that a minimum of six appropriately placed actuators is required for controllability. An algorithm to evaluate the coefficients which describe coupling between the rigid rotational and flexible modes and also intramodal coupling was developed and numerical evaluation based on the finite element model of Hoop/Column system is currently in progress

Giant-cell tumors of bone in South India

Giant-cell tumors of bone are rare or uncommon. Dodge reported that giant-cell tumor is rare in Ugandan Africans, but Hadley and associates and Rockwell and Small noted that giant-cell tumor of bone is comparatively common in South India. In this paper we give an account of the general prevalence of giant-cell tumors of bone in our part of South India

FACTORIAL STUDIES ON ENHANCEMENT OF DISSOLUTION RATE AND FORMULATION OF ACECLOFENAC TABLETS EMPLOYING Î’CDAND KOLLIPHOR HS15

Aceclofenac is an effective anti inflammatory and analgesic drug. It belongs to class II under Biopharmaceutical classification system and exhibit low and variable oral bioavailability due to its poor solubility. It is practically insoluble in water and aqueous fluids and its oral absorption is dissolution rate limited. It needs enhancement in solubility and dissolution rate for improvement of its oral bioavailability and therapeutic efficacy. The objective of the present study is to enhance the dissolution rate and formulation development of aceclofenac tablets with fast dissolution characteristics employing βCD and Kolliphor HS15, a non ionic surfactant. The individual and combined effects of βCD (factor A) and Kolliphor HS15 (factor B) on the dissolution rate of aceclofenac from solid inclusion complexes and their tablets were evaluated in a series of 22 factorial experiments. The feasibility of formulating aceclofenac - βCD-Kolliphor HS15 inclusion complexes into tablets with fast dissolution rate characteristics was also investigated. Kolliphor HS15 has not been investigated earlier for this purpose. The individual and combined effects of βCD and Kolliphor HS15 in enhancing the dissolution rate and dissolution efficiency of aceclofenac from solid inclusion complexes and their tablets were highly significant (P < 0.01). The dissolution of aceclofenac was rapid and higher in the case of aceclofenac- βCD and aceclofenac- βCD - Kolliphor HS15 complexes prepared when compared to aceclofenac pure drug. β CD alone gave a 8.66 fold increase and in combination with Kolliphor HS15 it gave 9.85 fold increase in the dissolution rate of (K1) of aceclofenac. Aceclofenac –βCD – Kolliphor HS15 inclusion complexes could be formulated into compressed tablets by wet granulation method and the resulting tablets also gave rapid and higher dissolution of aceclofenac. Aceclofenac tablets formulated with βCD and Kolliphor HS15 individually gave 4.75 and 6.1 fold increase in the dissolution rate and those containing drug - βCD -Kolliphor HS15 complex gave much higher enhancement (21.35 fold) in the dissolution rate when compared to tablets formulated with aceclofenac pure drug. Combination of βCD and Kolliphor HS15 gave much higher enhancement in the dissolution rate of aceclofenac tablets than is possible with them individually. A combination of βCD with Kolliphor HS15 is recommended to enhance the dissolution rate in the formulation development of aceclofenac tablets with fast dissolution rate characteristics

Statistical Analysis and Deep Learning Associated Modeling for Early stage Detection of Carinoma

The high death rate and overall complexity of the cancer epidemic is a global health crisis. Progress in cancer prediction based on gene expression has increased in light of the speedy advancement using modern high-throughput sequencing methods and a wide range of machine learning techniques, bringing insights into efficient and precise treatment decision-making. Therefore, it is of significant interest to create machine learning systems that accurately identify cancer patients and healthy people. Although several classification systems have been applied to cancer prediction, no single strategy has proven superior. This research shows how to apply deep learning to an optimization method that uses numerous machine learning models. Statistical analysis has helped us choose informative genes, and we've been feeding those to five different categorization models. The results from the five different classifiers are ensembled in the next step using a deep learning technique. The three most common types of adenocarcinoma are those of the lungs, stomach, and breasts. The suggested deep learning-based inter-ensembles model was tested with deep learning-based algorithms on Carcinoma data. The results of the tests show that relative to using only one set of classifiers or the simple consensus algorithm, it improves the precision of cancer prognosis in every analyzed carcinoma dataset. The suggested deep learning-based inter-ensemble approach is demonstrated to be reliable and efficient for cancer diagnosis by entirely using diverse classifiers