Effect of nephroprotective Ficus dalhousiae bark extract on gentamicin induced with combination of benzoic acid nephrotoxicity in rats

Background: The Ficus dalhousiae plant (Anjeer family) is. Its important parts-leaves, stem, bark and root are. The current study is design to effect of Ficus dalhousiae bark extract on gentamicin (GM) induced with combination of benzoic acid (BA) nephrotoxicity in rats.Methods: In acute toxicity studies animals are fasted before being dosed; kept overnight. Depending on the time interval. The beginning dose will be chosen from one of four predetermined levels: 5, 50, 300, or 2000 mg/kg of body weight. The animals are evaluated for 4 and 48 hours. In nephroprotective studies we are taken 30 rats which will be divided into 5 groups. proceed group by group like-control with normal saline, BA (100 mg/kg/body weight, IP) daily, hydroalcoholic extract of Ficus dalhousiae (200 mg/kg/body weight, PO) and simultaneously administered GM (100 mg/kg/body weight, IP) daily for 9 days. And we are doing difference types of estimations, like-blood urea, uric acid and serum creatinine.Results: Ficus dalhousiae bark extract on BA action on serum creatinine and urea levels in rats given GM. When compared to control rats, eight days of GM treatment resulted in significantly higher serum creatinine and urea levels. However, BA pretreatments have significantly improved serum creatine and urea (p<0.001) to reduce GM-induced nephrotoxicity (p<0.01, resp.).Conclusions: Ficus dalhousiae has significant nephroprotective activity in nephroprotective studies, acute toxicity activity and various such type of estimations like- blood urea, uric acid and creatinine

Classification of resources in an e-library using machine learning algorithms

Library is the heart of a university and students spend a large amount of time in library in search of knowledge. The trend of reading resources in printed materials such as books, journals and other research publications is gradually changing. Since it is an uneasy and time-consuming process, students are interested in soft materials such as e-journals, e books and other web based resources. Nowadays, in a library most of the resources in digital form are stored without any classification. They are not categorized or utilized by the users since it does not have any proper way to access or find appropriate material when the users' queries applied. Even though there are a lot of manual ways to access text based materials or resources in a library, they cannot be applied to the digital resources since it needs some kind of text mining and machine learning. This project addresses this issue through a closed domain question answering system for a resource pool in an e-library. As the initial step, the project uses a narrowed down search space by processing the abstracts of the resources. More than 300 abstracts are extracted along with their title and pre-processed. 75% of the data are used as training sets and the remaining are used for testing. Different machine learning techniques such as classification and clustering are applied with this large collection of textual data using Weikato Environment of Knowledge Analysis (WEKA) and their performance metrics and error rates were compared. The most suitable machine learning technique and the mode of testing for the textual data were selected and applied for training models as the solution for the classification problem of the electronic resources

Induction of Labour by Extra-Amniotic Saline infusion in Women having Previous One Cesarean Section

Background: To determine the efficacy of labor induction by extra-amniotic saline infusion in women having previous one lower segment cesarean section. Method: All women, fulfilling inclusion criteria, were selected for study. In lithotomy position, Foley’s catheter no.16 was passed in the cervical canal extra amniotically and 30 ml sterile water was injected to inflate the balloon. Then 0.9 % normal saline at 40 ml/hour injected into the extra-amniotic space. Results: The successful cervical ripening was 74.8% (49/66). The number of women delivered vaginally within 24 hours of insertion of Foley’s catheter were 56.1% (37/66). The rate of uterine rupture was 1.5% (1/66). Thus extra-amniotic saline infusion through trans-cervical was an effective method for induction of labour in women having previous one lower segment cesarean section was 56.1% (37/66). Conclusion: Extra-amniotic saline infusion is an effective method for labor induction in women having previous one lower segment cesarean section. Keywords: Induction, labour, caesarean section, extra-amniotic saline infusion, Bishop score etc

Interaction pattern for the complex of B-DNAFullerene compounds with a set of known replication proteins using docking study

Fullerenes have attracted considerable attention due to their unique chemical structure and potential applications which has opened wide venues for possible human exposure to various fullerene types. Therefore, in depth knowledge of how fullerene may interfere with various cellular processes becomes quite imperative. The present study was designed to investigate how the presence of fullerene affect the binding of DNA with different enzymes involved in replication process. Different fullerenes were first docked with DNA and then binding scores of different enzymes was analyzed with fullerene docked DNA. C30, C40 & C50 once docked with DNA, reduced the binding score of primase, whereas no significant change in the binding score was observed with the helicase, ssb protein, dna pol δ, dna pol ɛ, ligase, DNA clamp, and topoisomerases. On the contrast, the binding score of RPA14 decreases in fluctuating manner while interacting with increasing molecular weight of fullerene bound single-stranded DNA complex. The study revealed the affect of fullerene family interacting with DNA on the binding pattern of enzymes involved in replication process. Study suggests that the presence of most of fullerenes may not affect the activity of these enzymes necessary for replication process whereas C30, C40 & C50 may disrupt the activity of primase, (strating point for DNA polymerase) its docking score decreases from 13820 to 10702

Association of central obesity with risk factors for cardiovascular disease in North Indian population: A case - control study

Background: Central obesity is a leading cause of insulin resistance, type 2 diabetes mellitus, dyslipidemia, and Cardiovascular Disease (CVD). Central obesity may act as an independent predictor for CVD. Aim and Objectives: To study the correlation of central obesity among obese patients with the risk factors for CVD. Material and Methods: In this case-control study, 50 non-obese and 50 obese subjects aged between 30-70 years were enrolled. Biochemical parameters: Fasting Blood Sugar (FBS), Glycated Hemoglobin (HbA1c), Total Cholesterol (TC), Triglyceride (TG), High-Density Lipoprotein-Cholesterol (HDL-C) and Low-Density Lipoprotein-Cholesterol (LDL-C) were estimated along with Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP), Body Mass Index (BMI) and Waist Circumference (WC). Value of p less than 0.05 was considered statistically significant. Results: Mean of FBS, HbA1c, TC, TG, LDL-C, SBP, DBP, BMI, and WC were significantly raised in obese compared to non-obese (p<0.01). However, the mean of HDL-C was significantly low in obese compared to non-obese (p<0.01). A significant positive correlation was found between age and WC (r=0.426, p<0.01), TC and TG (r=0.628, p<0.01), TC and LDL-C (r=0.934, p<0.01), TG and LDL-C (r=0.647, p<0.01) among obese. However, a significant negative correlation was found between TC and HDL-C (r=-0.453, p<0.01), TG and HDL-C (r=-0.323, p<0.05), and HDL-C and LDL-C (r=-0.510, p<0.01) among obese. Linear regression analysis model was found significant. Conclusion: Result showed that WC is an independent predictive marker for CVD. Further study is needed in larger sample to strengthen the hypothesis

Unmanned Aerial Vehicle (UAV) “Drones” using Machine Learning

Unmanned aerial vehicle decision-making issues are increasingly being addressed using reinforcement learning (RL) (UAVs). The current advances in RL-based algorithms for UAV applications, encompassing both single-agent and swarm scenarios, are thoroughly reviewed in this work. First, the basic concepts of RL and its variants are introduced, followed by an overview of the state-of-the[1]art RL algorithms that have been applied to UAV navigation, path planning, and obstacle avoidance. The study then examines real-time learning concerns, model selection, and exploration-exploitation trade-offs, as well as challenges and potential for employing RL in UAV systems. In order to further the use of RL in UAVs, future research initiatives are also suggested. They include creating hybrid methods that integrate RL with other methodologies and incorporating human feedback and domain expertise into the learning process. Overall, this work demonstrates the potential of this approach to improve the autonomy, adaptability, and resilience of UAV systems and serves as a significant resource for researchers and those interested in applying RL to UAVs

VITAMIN D RECEPTOR GENE BSM1 POLYMORPHISM AND RISK OF BREAST CANCER

Breast cancer is a leading cause of death among women, around the world. It is a multifactorial disease involving genetic and environmental factors. Vitamin D is known to modulate biological processes like immune response, bone metabolism, cell growth regulation. The protective actions of vitamin D in cancer development are only sparsely understood, however, evidence shows that vitamin D participates in cell growth regulation, apoptosis and cell differentiation. It has also been implicated in the suppression of cancer cell invasion, angiogenesis and metastasis. The cellular effects of Vitamin D are mediated via Vitamin D receptor (VDR), which is a member of the nuclear receptor superfamily and a key mediator in the vitamin D pathway. VDR is expressed in the breast tissue, and the involvement of (VDR) polymorphisms in breast cancer etiology has long been a topic of interest. Several studies have suggested an association between VDR gene polymorphisms and risk of breast cancer. This study aims to investigate the distribution frequency and association of VDR Bsm1 polymorphisms in North Indian breast cancer patients. In this study, 125 breast cancer patients and 125 healthy individuals were enrolled. The prevalence of Bsm1 alleles and the genotype frequencies in patients with breast cancer was similar to that in the normal population. Our data indicated no significant differences between the patients and control subjects. No significant association was observed between VDR Bsm1 polymorphism and risk of breast cancer occurrence