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result(s) for
"Rajammal, P"
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ACTIVITIES OF POLICE IN THE FREEDOM MOVEMENT WITH SPECIAL REFERENCE TO MADRAS PROVINCE
2022
The aim of this article is to understand the activities of police in the freedom movement with special reference to Madras province. Lord Curzon, the Viceroy and Governor General appointed to National Police Commission in July, 1902 under the Presidentship of A.H.L. Fraser. The Inspector General of Police, Madras Presidency, H.A. Stuart, was appointed the Secretary of the Commission. The report of the Commission was approved in 1904. Some important decisions of the Government of India are Deputy Inspectors General to be police officers, promoted from the Superintendents of Police. Officers of the superior Police service, the Asst. Superintendents of Police, should be recruited from the Europeans in England, but trained in India. Inspectors should be made 90% by promotion and placed at par with Tahsildars. Sub Inspectors (SIs) should be mainly recruited directly, percentage of promotion of Head Constables to SIs should be fixed, Sub Inspectors should be trained in Provincial centres and paid on par with Naib Tahsildars. Constables should be locally recruited and trained at Central Schools in each province, their pay should be increased. Each province should have a CID and the officer heading the CID should also head the Railway Police and Each Province should have a regular Police and an armed reserve, but there should not be any separate recruitment for each the constabulary should perform both the functions.
Journal Article
Secured Optimal Path to Identify the Networking Model using Cold Chain Logistics in Hospital Environment
by
Rema Devi, S.
,
Pandia Rajammal, P.
,
Karthika, P.
in
Algorithms
,
Ant colony optimization
,
Artificial Intelligence (AI)
2022
Logistics refers to moving commodities from one location to another, typically from a manufacturing facility to a client. A logistics network is a collection of activities that include product creation, production, and distribution. Chain of custody Logistics are items that must be carried chilled from the manufacturing facility to the customer. Because of work with logistics networks, a secure networking model is required. This post will look at an intelligent secured networking model for determining the best route for cold chain logistics to a hospital setting. The best and shortest path between points A and B is found using the optimal pathfinder. It also takes traffic and transportation costs into account. Medicines and vaccines that must store at a specific temperature are part of the cold chain logistics for the hospital environment. As a result, path optimization is more important in cold chain logistics than in other types of logistics in the hospital environment. The Bee-Ant Optimization Algorithm (BAOA) is proposed in this study to perform intelligent transportation to a healthcare setting. The suggested approach is compared to the Ant Colony Optimization (ACO), Bee Colony Optimization (BCO), and Neural Network Model algorithms already in use. According to the data, the proposed algorithm has a 98.83% accuracy rate for delivering logistics to the hospital environment.
Journal Article
REPORTS FROM AROUND THE WORLD: ASIA AND PACIFIC
1989
\"The Asian and Pacific Development Centre (APDC) was established in July, 1980. It is an autonomous, regional institution designed to provide a practical response to the developmental problems faced by countries of the region and to assist them, through the study and analysis of development options, in formulating appropriate development strategies, policies and programmes ...\"
Magazine Article
A Novel Method for Survival Prediction of Hepatocellular Carcinoma Using Feature-Selection Techniques
by
Sekar, Kavithra
,
Muthusamy, Suresh
,
Gomaa, Ibrahim Abd Elatif
in
Accuracy
,
Algorithms
,
Classification
2022
The World Health Organization (WHO) predicted that 10 million people would have died of cancer by 2020. According to recent studies, liver cancer is the most prevalent cancer worldwide. Hepatocellular carcinoma (HCC) is the leading cause of early-stage liver cancer. However, HCC occurs most frequently in patients with chronic liver conditions (such as cirrhosis). Therefore, it is important to predict liver cancer more explicitly by using machine learning. This study examines the survival prediction of a dataset of HCC based on three strategies. Originally, missing values are estimated using mean, mode, and k-Nearest Neighbor (k-NN). We then compare the different select features using the wrapper and embedded methods. The embedded method employs Least Absolute Shrinkage and Selection Operator (LASSO) and ridge regression in conjunction with Logistic Regression (LR). In the wrapper method, gradient boosting and random forests eliminate features recursively. Classification algorithms for predicting results include k-NN, Random Forest (RF), and Logistic Regression. The experimental results indicate that Recursive Feature Elimination with Gradient Boosting (RFE-GB) produces better results, with a 96.66% accuracy rate and a 95.66% F1-score.
Journal Article
Assessment of groundwater quality in Kanyakumari district, Tamil Nadu, using ionic chemistry
Saline or alkali water also constitutes an important source of irrigation for agricultural production. A study was undertaken at the block level to evaluate major ion chemistry and suitability of water for irrigation purpose in Kanyakumari district, Tamil Nadu, India. A total of 215 groundwater samples were collected and analysed for major ions and the analytical data were interpreted according to established guidelines. The spatial map shows that calcium (Ca2+) is the most dominant cation with bicarbonate
(
HCO
3
−
)
and chloride (Cl⁻) as the dominant anions. The abundance of cations follows the order Ca > Mg > Na > K and that of anions HCO₃ > Cl > SO₄. The distribution of water samples in different water quality classes based on pH, EC, residual sodium carbonate and sodium adsorption ratio reveals good-quality underground irrigation water in most of the blocks, except Tholavai. In Thucklay, 100% of the groundwater can be used, whereas 89.7% can be used in Rajakamangalam, 81.25% in Munchirai, 80.95% in Thiruvattar and 73.7% in Kuruthencode. The Thovalai block had saline water (73.68%) and marginally saline water (26.32%). Saline water was found in about 25% of the area in the district and in situ rainwater conservation for leaching of salts accumulated through saline water irrigation is an important technology. Thus, farmers need to be trained regarding these aspects. Such areas require adequate drainage and also introduction of salt-tolerant crops.
Journal Article
Detection of Y STR markers of male fetal dna in maternal circulation
2007
Background: Circulating fetal cells and cell free DNA in the maternal
blood has been shown to help in prenatal diagnosis of genetic disorders
without relying on invasive procedures leading to significant risk of
pregnancy loss. Aim: The current study was undertaken to detect the
male fetal population using Y STR markers DYS 19, DYS 385 and DYS 392
and also to study the extent of persistence of fetal DNA in the mother
following delivery. Materials and Methods: Blinded study was conducted
on 50 mothers delivering male and female babies. Cellular and cell free
DNA was extracted from maternal and fetal cord blood and amplified for
Y STR markers by PCR. Results: The amplification sensitivity of Y
specific STR, DYS19 was 100% (22/22) in the male fetal DNA samples. The
incidence of other STRs, i.e., DYS385 and DYS392 were 91% (20/22) each.
Analysis of results revealed that thirteen of the twenty six women had
detectable male fetal DNA at the time of delivery. However fetal DNA
was not detectable twenty four hours after delivery. Conclusion:
Preliminary results show that the separation of fetal cell-free DNA in
the maternal circulation is a good low-cost approach for the future
development of novel strategies to provide non-invasive techniques for
early prenatal diagnosis.
Journal Article