Learning Difficulties Among Dental Students- A Cross Sectional Study

Background: Learning difficulties also known as the learning disabilities are the conditions that impact on an individual’s ability to gain knowledge and skills. The common problem faced by dental students is learning subjects and doing practicals. Though many studies have been done on learning disabilities, this study gives detailed information on the problems faced by dental students. The main aim of this study is to create awareness on the difficulties faced by the dental students in learning the subjects and in doing practicals. An online survey was conducted among dental students to evaluate the learning difficulties. The study population are the 1st year dental students with a sample size of 100. 10 questions were circulated to the participants through an online survey link. Later the datas was analysed and made into pie charts. From this study, when asked about learning difficulties, the majority of the result shows that they have difficulty in learning that is nearly 75% and the rest felt easier. Nearly half of the students who feel difficulty in learning are trying to overcome their difficulty. From this survey, it was evident that most of the students have difficulty in learning dentistry. This study creates awareness among the students about the benefits and importance of overcoming the difficulty in learning

Mutational Analysis of residue V408 of LEDGE/p75

Lens Epithelium Derived Growth Factor (LEDGF/p75) is a human transcriptional co-activator and a dominant cellular binding partner of HIV-1 Integrase (IN). LEDGF/p75 tethers IN to the host chromatin aiding in formation of proviral DNA. This study involves generation of site directed mutations of Valine residue at position 408 and analyzing the effect of mutation upon interaction with IN. Previously characterized mutations L368A and D366A have been generated for serving as controls in pull-down analysis. The binding affinity of V408 and L368 mutants will be characterized by pull down analysis

APOPTOTIC INDUCTION POTENTIALS OF BACOPA MONERI AGAINST ORAL CANCER CELL LINE

Aim: To assess the apoptotic induction potentials of Bacopa monnieri against oral cancer cell.Objective: This research is done to find the apoptotic induction potentials of B. monnieri against oral cancer cell line.Background: The apoptosis is a process of programed cell death that occurs in multicellular organisms. Biochemical events lead to characteristic cellchanges and death. The initiation of apoptosis is tightly regulated by activation mechanisms, because once apoptosis has begun, it inevitably leadsto the death of the cell. The two best-understood activation mechanisms are the intrinsic pathway (also called the mitochondrial pathway) and theextrinsic pathway.Methods: The apoptotic induction potential of B. monnieri was studied on KB cell line by investigating the activation of caspase 3 and caspase 9.Reason: Oral cancer is a growing concern due to the changes in lifestyle. The treatment for this disease has been degraded the patient's health bycausing various side effects. An effective treatment for the long run is necessary. Usable of herbal plants can serve to be a possible and very effective remedy.Results: Apoptotic induction potentials of B. monnieri against oral cancer cell line were studied.Conclusion: Caspase 3 and caspase 9 was activated thus proving the apoptotic potential of B. monnieri.Keywords: Bacopa monnieri, oral cancer, apoptotic induction

Mutational Analysis of residue V408 of LEDGE/p75

Lens Epithelium Derived Growth Factor (LEDGF/p75) is a human transcriptional co-activator and a dominant cellular binding partner of HIV-1 Integrase (IN). LEDGF/p75 tethers IN to the host chromatin aiding in formation of proviral DNA. This study involves generation of site directed mutations of Valine residue at position 408 and analyzing the effect of mutation upon interaction with IN. Previously characterized mutations L368A and D366A have been generated for serving as controls in pull-down analysis. The binding affinity of V408 and L368 mutants will be characterized by pull down analysis

IN VITRO ANTIOXIDANT AND ANTICANCER ACTIVITY OF ULVA LACTUCA L.USING MOLT-3 CELL LINE

Objective: The aim of the present investigation was to determine the in vitro antioxidant and anticancer activity of the ethanol extract of Ulva lactuca L. Methods: The present study was to investigate the antioxidant and anticancer activity of U. lactuca L. The extract of U. lactuca L. was extracted by ethanol and subject to analysis. An in vitro antioxidant activity of the ethanol extract of U. lactuca L. was performed by 1, 1-diphenyl-2-picrylhydrazyl free radical scavenging assay. Simultaneously anticancer activity was also performed using blood cancer (MOLT-3) cell line, and the species showed a strong selective cell proliferation inhibition of the cancer cell line. Results: The scavenging activity was measured and determined to be 78.5%. This might be due to high polyphenolic compounds and flavonoid contents of the extract, which showed maximum growth inhibition of 74.4%. Conclusion: Thus, the study concludes that the constituents of seaweeds can act as potent in treating various diseases and can be used as an alternative for therapeutic treatment

Literature Review on IOT Based Smart Security and Monitoring Devices for Agriculture

A smart way of automating farming process can be called as Smart Agriculture. By implying an automated system it possible to eliminate threats to the crops by reducing the human intervention. The major emphasize will be on providing favorable atmosphere for plants. These agricultural automated systems will help in managing and maintain safe environment especially the agricultural areas. Environment real time monitoring is an important factor in smart farming. Graphical User Interface based software will be provided to control the hardware system and the system will be entirely isolated environment, equipped with sensors like temperature sensor, humidity sensor. The controllers will be managed by a master station which will communicate with the human interactive software. The system will provide smart interface to the farmers. This smart system can increase the level of production than the current scenario. This system will realize smart solution for agriculture and efficientlysolve the issues related to farmers. The environment will not be the barrier for production and growth of any plant and can overcome the problem of scarcity of farming production

MEDICINAL VALUES OF PUTRANJIVA ROXBURGHII-A REVIEW

The evolving economic concerns and the depletion of natural sources motivate the researchers to look for various alternatives. We started utilizing the bio resources like bio-diesel that is substituted over Petro-diesel. As the needs increasing day by day, it is our responsibility to not to deplete all the resources available now and hence not making the future generation in a great risk. So the idea is to find new sources that we can utilize and to also try to utilize the natural resources around us in a useful manner. In a recent trend, there are more technologies available for utilizing bio-resources in an effective manner. One such kind of bio-resource we can utilize is Putranjiva roxburghii. The ultimate aim of this review paper is to create a limelight on the medicinal values of Putranjiva plant. This current study explains the research works done so far with Putranjiva plant in a detailed manner and also to create awareness on growing Putranjiva plant all over the world. The plant material can be utilized as Anti-oxidant, febrifuge and for anti-inflammatory activities, as biofuel, as an herbal preservative, as an Antioxidant agent and as Trypsin inhibitor. The commercial, as well as medicinal values of Putranjiva, are so attractive, that encourages the authors to write a review over this excellent plant material

Finding the Link Between Cyberbullying and Suicidal Behavior Among School Going Adolescents

Background: Studies have shown that cyberbullying or online bullying has increased the risk of suicidal thoughts and suicidal behaviours. Although suicide or suicidal behaviours are not directly related to cyberbullying it can be said that cyberbullying increases depression rates and feelings of isolation which end up in suicidal calls. This research aims to understand the nexus between cyberbullying and suicidal behaviour. Methods and materials: A self-administered and anonymous online questionnaire was used to survey 410 higher secondary school adolescents aged 16 to 18 and the data analysis has been carried out by statistical analysis with the help of IBM-SPSS software of version 22.  Results: The findings of the results have revealed that cyberbullying was more prevalent among the respondents than cyber victimization. There was a small fraction of the population that said that they had undergone suicidal behaviour due to cyberbullying. Between text messaging and multimedia messaging, the best platform for cyberbullying was multimedia messaging. The reason behind this was its usage around the world, its popularity, and its ease. Teenagers over the age of 17 years have reported the highest percentage share for suicide rates and most of them were female. Conclusion: It can be concluded that cyber bullying is a threat to those girls who is currently studying in 11th standard and or age 17 years whose parents are separated or not living together

Skin Cancer Classification using Deep Learning

According to world health organization skin cancer is the one of the most common cancer types in the world. The abnormal growth of skin cells most often develops on the skin when exposed to the sun and occurs when there is a mutation in the DNA of skin cells, it begins at the top of the skin. More than five million people are affected by skin cancer each year. The proposed method aim at analyzing and detecting the significant class of skin cancer variant such as Melanoma, Basal cell Carcinoma, Nevus. Melanoma is the most dangerous form of skin cancer when compared to the other types. In this paper we have developed a webapp that could differentiate skin cancer. The data set has been taken from ISIC and the model is trained using Gcollab. The proposed work has used convolution neural network (CNN) as algorithm for deep learning as it has higher accuracy and flask is used to develop the web app and the class of cancer is classified based on historical data of dermoscopic images

Phytochemical, physicochemical, TLC, minerals analysis and in-vitro antioxidant activity of ethanolic extract of leaves of Heldigardia populifolia

The aim of present study was to investigate the preliminary phytochemical, physicochemical, TLC, minerals analysis and In-vitro antioxidant activity of leaves of ethanolic extract of Heldigardia populifolia. The preliminary phytochemical screening of ethanolic extract showed the presence of triterpenoids, flavonoids, glycosides, sterols, steroids, phenols, carbohydrates and saponins. The composition of minerals found in the leaf powder was within the permissible limits. TLC analysis of ethanol extract showed the five spots which indicate the presence of five phytoconstituents. The extractive value of ethanol was high than acetone. Ash values were within the limits. The in-vitro antioxidant activity of ethanolic extract increased with increasing the concentration. The ethanolic extract in all the concentration showed the significant antioxidant activity