ETHNOMEDICINAL PLANTS USED BY RAJGOND TRIBES OF HALADKERI VILLAGE IN BIDAR DISTRICT, KARNATAKA, INDIA

Objective: Present work deals with the studies on Ethnomedicinal plants used by Rajgond Tribes of Haladkeri village in Bidar District, Karnataka, IndiaMethods: Field trips were conducted from March to December, 2014 to collect the information on the medicinal plants used in the treatment of different ailments by Rajgond Tribe using the methodology suggested by Jain and Goel.Results: A total of 12 Vaidyas or healers were interviewed and 60 ethno medicinal plants species belonging to 37 families were recorded along with their scientific names, vernacular names, botanical family, parts used and their ethno medicinal significance.Conclusion: Rajgond Tribe of Haladkeri Village in Bidar District is far away from modern medicine even in 21st Century and is known for their unique way of life and disease management. As the majority of people in modern days is much conscious about their health and aware of the side effects of modern drugs, such study of ethnic drugs may turn a useful base in finding out new drug molecules

CONCEPTUAL STUDY OF FORMATION OF BLOOD CELLS FROM TISSUE NUTRITIONAL LAWS WITH ITS CLINICAL IMPACT- AN AYURVEDIC PERSPECTIVE

Rakta Dhatu is the main source for life longevity and survival of human beings. Formation of Rakta Dhatu is a continuous process. The heterologous food after the action of bio-energies (Agni) in digestion phase is converting into homologous form. Agni-bala (strength of bio-energies) are main helping hand for 2nd Dhatu i.e. Rakta Dhatu (blood cells) in the metabolic action of the body. Further the bio-energies works with changing need of the essence part as absorption and metabolism are started so that generation of tissues (Dhatus) occurs smoothly in the body. The Dhatu Siddhanta (tissue forming laws) in which theories of tissue formation and tissue differentiation were mentioned. The Ahara Rasa (Productive essence part) with the help of different bio-energies in different areas in body helps to produce tissues (Dhatus). To understand how the tissues are formed it is necessary here to understand the logics of Ayurvedic concepts or Siddhanta that proves the formation of Dhatu from Ahara Rasa. The modern science explains the formation of blood cells in embryonic stage by the help mesenchymal cells. The applied aspect of this work is to prevent disorders before their manifestations occurs in the human body. Various diseases that occur due to many causative agents are like- food/Ahara or Agni-Bala (strength of bio-energies), getting poor food digestion or metabolism. On the Ahara ground many different type of etio-pathogenis are aroused due to malfunctioned food or due to malabsorption (Dhatuagnivikriti) that may leads to Dhatuagninasana (metabolic dysfunction). To understand deeply we have to go step by step the physiological ground of food digestion, its laws and how the blood tissues are formed from the sciences, applied aspects of Dhatu Nirmana and its vitiated factors

Prospective observational study to evaluate the pattern of adverse drug events in cancer patients receiving anti-cancer agents in a tertiary care hospital

Background: Adverse drug reactions (ADRs) associated with the use of anticancer drugs are a worldwide problem and cannot be overlooked. They range from nausea, vomiting or any other mild reaction to severe myelosuppression. The study was planned to evaluate the pattern of adverse drug events to anti-cancer agents in a tertiary care hospital.Methods: This observational prospective study was carried out in a tertiary care hospital from 1st January 2011 to 31st December 2011. A total of 213 patients who fulfilled the inclusion criteria were enrolled in the study. Out of them, 8 patients were withdrawn from the study as they subsequently underwent radiotherapy. The adverse events observed during the treatment were noted and analyzed by using applicable statistics.Results: Out of 205 patients, 98 were males and 107 were females. Breast cancer was the commonest type of cancer evident. A total 523 anti-cancer drugs were prescribed for the patients with alkylating agents being the most common. 635 adverse events (ADRs) were observed in patients with vomiting and nausea as the most common adverse drug reactions (ADREs). Majority of the ADRs (89%) had a latent onset (occurring 2 or more days after exposure to the drug). Few events were serious in nature (9%); fatal events were uncommon (0.31%). WHO causality was ‘possible’ for 94% of the events. ADRs were more frequently observed in females in the age group of 46-60 years; mood swings were significantly higher in women, while vomiting was found to be significantly common in men.Conclusions: The study showed that chemotherapy has a high potential to cause ADRs. Thus, there is a need for vigilant ADR monitoring to prevent morbidity and mortality due to ADRs

Online Crime Fraud Detection System

Due to dramatically increased usage of internet we are proposing our system online. Crimeidentification should be in such a way that the crime measures get reduced in society. Crime identification is the very crucial stage nowadays. Hence we are trying to propose a new web application, to ease of access, by the views of Police and Public. In this paper, not only we are having the crime identification system but also we are going to add some more features like fraud detection system of Government Identity Proof, Home owner’s renter’s verification. We are trying to implement this application at district level under consideration of Crime measures and process of crime registration. After successful implementation, we will try to make it worldwide. DOI: 10.17762/ijritcc2321-8169.16044

Study of histopathological patterns of endometrium in abnormal uterine bleeding

Background: Abnormal uterine bleeding (AUB) is the commonest presenting symptom in gynaecology out- patient department. Endometrial sampling could be effectively used as the first diagnostic step in AUB. This study was done to evaluate histopathology of endometrium for identifying the endometrial causes of AUB. And also, to observe the incidence of various endometrial pathology in different age groups presenting with abnormal uterine bleeding.Methods: A one-year prospective study conducted in the department of obstetrics and gynaecologist in A. J. institute of medical sciences and research centre which included 200 cases of clinically diagnosed AUB patients. Histopathological examination of endometrial biopsies specimens was done, followed by clinical correlation.Results: The most common age group presenting with AUB was 41-50 years (43.84%). The commonest pattern in these patients was normal cycling endometrium (42.32%). The commonest pathology irrespective of the age group was disordered proliferative pattern (26.15%). Other causes identified atrophic endometrium (11.5%), benign endometrial polyp (5.38%), endometrial hyperplasia (5.41%), carcinomas (0.79%) and chronic endometritis (1.54%).Conclusions: The knowledge of endometrial pattern in a case of AUB helps to decide a plan of management. Endometrial sampling plays a very important role in management of AUB, especially in the age group of more than 40 years; i.e., the peri and post-menopausal age groups, where incidence of malignant or pre malignant conditions was noted to be the highest

Microwave-Assisted Alkali Delignification Coupled with Non-Ionic Surfactant Effect on the Fermentable Sugar Yield from Agricultural Residues of Cassava

Cassava stem, leaves and peel are agricultural residues generated as waste biomass during the cultivation and processing of cassava. The potential of these biomasses as feedstock for ethanol production depends on the effective deconstruction via pretreatment and saccharification. The effect of alkaline hydrogen peroxide (AHP) treatment on microwave (MW)-irradiated or steam-exposed aqueous slurry was compared with MW-irradiation (300 W) of alkali slurry in delignifying the biomass and degrading the polysaccharides. Cellulose was degraded to a higher extent than hemicellulose in the AHP treatments. The steam-exposed and AHP pretreated residues on saccharification with Cellic (Cellulase complex) alone or Cellic along with Tween 20 resulted in high conversion of carbohydrate to reducing sugars (RS) in leaves (64-70%) and peel (74- 78%), with slightly lower conversion in stem. MW-irradiation of alkali slurry (5 min.) followed by Tween 20 supplemented saccharification was a better strategy degrading cellulose and hemicellulose to very high extent. Tween 20 supplementation was beneficial in enhancing the RS release from the biomasses even when Cellic dosage was halved. Ultrastructural studies indicated the disappearance of starch granules from stem and peel samples after MW-irradiation and saccharification, while fragmented cellulose fibers were visible in leaf samples. The study showed that MW-assisted alkali pretreatment followed by saccharification with Cellic in presence of Tween 20 was very effective in releasing maximum sugars from these biomasses

Deep Learning Techniques in Radar Emitter Identification

In the field of electronic warfare (EW), one of the crucial roles of electronic intelligence is the identification of radar signals. In an operational environment, it is very essential to identify radar emitters whether friend or foe so that appropriate radar countermeasures can be taken against them. With the electromagnetic environment becoming increasingly complex and the diversity of signal features, radar emitter identification with high recognition accuracy has become a significantly challenging task. Traditional radar identification methods have shown some limitations in this complex electromagnetic scenario. Several radar classification and identification methods based on artificial neural networks have emerged with the emergence of artificial neural networks, notably deep learning approaches. Machine learning and deep learning algorithms are now frequently utilized to extract various types of information from radar signals more accurately and robustly. This paper illustrates the use of Deep Neural Networks (DNN) in radar applications for emitter classification and identification. Since deep learning approaches are capable of accurately classifying complicated patterns in radar signals, they have demonstrated significant promise for identifying radar emitters. By offering a thorough literature analysis of deep learning-based methodologies, the study intends to assist researchers and practitioners in better understanding the application of deep learning techniques to challenges related to the classification and identification of radar emitters. The study demonstrates that DNN can be used successfully in applications for radar classification and identification.   &nbsp

An eyeshot on Kshudra Dhanya in Ayurveda

Kshudra Danya is a group of small seeded cereals used as human food since ages. They are popular by the name millets. As Millets are packed with nutrients, they have numerous health benefits. Ayurveda has a distinguished explanation of Kshudra Danya (millets) with their specific qualities and effects, based on which their indications and contraindications can be elicited. This analysis may help in understanding the right usage of Kshudra Danya (millets) to avail their complete health benefits