Volume 11 | Issue 2 |

 Abstract

Toona ciliata Roem. Var. ciliata is a timber tree that is used in the production of timber, ornamental sculpture, tanning leather, dye to colour silk, and many more things. It is a member of the Meliaceae family. It has 15 species, which are mostly found in tropical areas. Cedrela toona roxb is another name for it. It is also widely used as folk medicine for fever, ringworm, menstrual disturbances, cancer, ulcers, dysentery, leprosy, and as an astringent, expectorant, tonic, anthelmintic, and aphrodisiac. Due to the presence of toonacilin, siderin, deoxycedrelone, leucoanthocyanidin, deoxycedrelone, sesquiterpene, limonoids (toonaciliatins), and many more phytoconstituents, researchers have proven many pharmacological activities like anti-diabetic, anti-feedant, anti-oxidant, anti-inflammatory, etc. Toona ciliata's phytochemistry and pharmacology are thoroughly examined in this review in an effort to suggest areas for further study.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Toona Ciliata, Cedrela Roxb, Meliaceace

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ayurveda is the oldest life science. Ayurveda believes that our bodies, like all universal substances, are made up of Pancha Mahabuta (the five basic elements). In this Panchabhautika Sharira, various processes are continuously going on leading to the loss of various elements. To replace it, you need to consume appropriate ahara (food). Acharya Charaka states that the body is the result of food and Agni (the element responsible for digestion) plays an important role in the proper digestion and metabolism of Akhara (food). Ayurveda's Ahara pak also indicates relevance to contemporary texts. This hypothesis emerged millennia ago after extensive research that has confirmed its scientific status today.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aahara,Agni,Ayurveda

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diabetes mellitus is a metabolic condition characterized by persistently elevated blood glucose levels (DM). Hyperglycemia, the medical term for abnormally high blood glucose levels, is a hallmark of diabetes mellitus. Diabetes mellitus (DM) develops from a combination of hereditary and environmental factors that lead to immune system dysfunction and insulin resistance. Factors that increase the likelihood that you may get diabetes include having a high body mass index or having a first-degree relative who has the disease (BMI) The global prevalence of obesity has risen as a result of poor dietary practices and an increase in sugar intake. Statistics all throughout the globe are showing the effects. The global prevalence of diabetes is increasing, with an estimated 1.6 million people having the disease by the year 2025. Diabetic microvascular problems, such as diabetic foot, may be prevented with early diagnosis and appropriate treatment, hence voluntary and automated procedures for detecting DM are crucial. Alternatively, foot thermography is a potential technology because it enables viewing of thermal patterns, patterns that are changed due to shear and friction associated with lower limb neuropathy. For the purpose of synthesizing thermal images of the foot, we use the usage of categorization indices such as the Thermal Change Index (TCI). In light of these considerations, in this investigation we use deep convolutional neural networks, using 12 distinct data augmentation approaches, to identify DM patients based on foot thermography alone.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep Learning, Diabetic Foot Ulcer(DFU), Thermography,AlexNet, KNN, DefNet

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A leader is good when his presence is felt; A leader is better when his absence is felt; and the leader is the best one neither his presence nor his absence matter.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

The School Heads have a number of work load consisting extra - curricular activities and official work

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Ebola Virus Disease (EVD) also known for hemorrhagic fever initially seen in the democratic republic of Congo. Endemic to Africa the outbreaks are recorded in six other countries. The fruit bat is considered to be the natural host for the Ebola virus disease. The Ebola virus transmit through the close contact with blood and body ?uids of infected person. The Ebola virus replicate through their own genetic material insert in DNA of host cell and hijack all cellular progresses. The incubation period of Ebola virus is between 6 to 16 days. The symptoms of Ebola virus is diagnosed by the several ways, symptoms of Ebola virus disease includes the high onset of fever, headache in early phase, vomiting, diarrhoea and possible progression to hemorrhagic fever rash and at last phase multi organ failure. The infected person should stay in isolation and quarantine. The anti-viral therapy for EVD, immunotherapies, vaccines are some ways to treat the Ebola virus.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ebola virus, outbreaks, Ebola hemorrhagic fever, treatment

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A descriptive study was conducted to assess the level of knowledge and attitude regarding the management of learning disabilities and its management in children among the primary school teachers and to find out the association between knowledge and attitude regarding learning disabilities and its management with sociodemographic variablesMethod: A descriptive study was conducted among 60 primary school teachers from selected school in Bangalore using purposive sampling technique. A self-structured questionnaire with socio demographic data, knowledge and attitude regarding the management of learning disabilities and its management in children was given. Data was collected, analyzed and interpreted using descriptive and inferential statistics. Results: The study results showed that majority 56.67% primary school teachers are having inadequate level of knowledge ,68.3% of primary school teachers are having moderately favourable attitude and there is an association between knowledge and attitude regarding learning disabilities and its management in children among primary school teachers with sociodemographic variables and is partially accepted at + 0.05 level Conclusion: Based on the study results on the knowledge and attitude regarding the management of learning disabilities and its management in children among the primary school teachers will be used as basic data to identify the learning disability in its early stage and give interventions to provide high quality education and care .

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Knowledge, Attitude, Primary School Teachers, Learning Disability.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Course evaluation, communicative english, pilot project, ECS

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women Entrepreneurs, Motivational factors, Flourishing, Challenges faced by women entrepreneur

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

We developed a convolutional neural network (CNN) to convert front-facing camera data straight from raw pixels to steering commands. This end-to-end strategy turned out to be unexpectedly effective. The machine learns to drive in traffic on local roads with or without lane markings, on motorways, and with the least amount of training data from people. By using simply the human steering angle as the training signal, the system automatically picks up internal representations of the necessary processing stages, such as spotting useful road elements. For instance, we never expressly trained it to recognize the outline of a road. Our end-to-end approach simultaneously optimizes all processing steps in contrast to explicit decomposition of the problem, such as lane marking detection, path planning, and control. We contend that doing so will eventually result in bigger systems and better performance. The internal components will self-optimize to maximize system performance rather than improving intermediate criteria chosen by humans, such as lane detection, leading to better performance. It makes sense that these criteria be chosen for simplicity of human interpretation, but this does not imply that they will always result in the best system performance. Because the system learns to solve the problem with the fewest amount of processing steps possible, smaller networks are made possible. For training, we used an NVIDIA Dev Box and Torch 7, and for navigation, we used an NVIDIA DRIVETM PX self-driving car computer running Torch 7.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep Learning, CNN, Computer Vision, Self Driving, Cameras, Autonomous Automobile

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The recent days, entrepreneurship is in limelight. As we know, entrepreneurship directly influences the economy, the standard of living as well as innovation, it is the core element of civilization. Entrepreneurship deals with the employment generation, so the growing economy gets boosted through entrepreneurship. But there are certain basic challenges occurred in the field of entrepreneurship. In this paper, we focused on these challenges and discussed, how moonlighting is effective to overcome these challenges.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Entrepreneurship, Challenges of entrepreneurship, Moonlighting.

  License

Creative Commons Attribution 4.0 and The Open Definition