How different are students and their learning styles?

Introduction: Students, like anybody else differ from each other. As students they differ in their preferred mode of learning, i.e. their preferred modes in gathering, organizing and thinking about information. A recent classification proposed by Neil Fleming and associates state that students learning styles can be divided into Visual/graphic, Aural, Read/write and Kinesthetic types, VARK.Aim: The aim of the recent study is to investigate learning styles among dental students in two different dental colleges of India.Method: The VARK-questionnaire contains 15 multiple-choice- questions with four possibilities to select an answer. Each possibility represents one of the four modes of perception. But, one can select more than one answer to each question, which is necessary for the identification of poly modal modes of perception and learning. This is also a psychometric problem when trying to state a measure of the reliability of the questionnaire. The VARK-questionnaire was distributed among 200 students and was collected back. This sample size represents 100% response rate from the students in the class and is markedly above the level required to make conclusions about student preferences for receiving and processing information. The students spent about 10 minutes in an ordinary lesson to fill in the questionnaire. Students register number and name were used in the study and there was no blinding practiced.Study Design: Questionnaire based clinical studyResults: The responses from the students in our University where classified into multi-modal (VARK), tri-modal (VRK, VAK, VAR, ARK), bi-modal (VR, VA, VK, RK) and uni-modal (V, A, R.K) categories. Results showed that subjects had a higher preference for multimodal learning.Conclusion: We conclude that students in our set up prefer multimodal and more of Kinesthetic of learning. To meet their needs, a variation in teaching, learning and examination must be implemented. If not, these students with a high kinesthetic preference for perception and learning may be at the losing end

Skills Learning in Robot-Assisted Surgery Is Benefited by Task-Specific Augmented Feedback

Background: Providing augmented visual feedback is one way to enhance robot-assisted surgery (RAS) training. However, it is unclear whether task specificity should be considered when applying augmented visual feedback. Methods: Twenty-two novice users of the da Vinci Surgical System underwent testing and training in 3 tasks: simple task, bimanual carrying (BC); intermediate task, needle passing (NP); and complex task, suture tying (ST). Pretraining (PRE), training, and posttraining (POST) trials were performed during the first session. Retention trials were performed 2 weeks later (RET). Participants were randomly assigned to 1 of 4 feedback training groups: relative phase (RP), speed, grip force, and video feedback groups. Performance measures were time to task completion (TTC), total distance traveled (D), speed (S), curvature, relative phase, and grip force (F). Results: Significant interaction for TTC and curvature showed that the RP feedback training improved temporal measures of complex ST task compared to simple BC task. Speed feedback training significantly improved the performance in simple BC task in terms of TTC, D, S, curvature, and F even after retention. There was also a lesser long-term effect of speed feedback training on complex ST task. Grip force feedback training resulted in significantly greater improvements in TTC and curvature for complex ST task. For the video feedback training group, the improvements in most of the outcome measures were evident only after RET. Conclusions: Task-specific augmented feedback is beneficial to RAS skills learning. Particularly, the RP and grip force feedback could be useful for training complex tasks

EFFECT OF TOBACCO EXTRACT ON STREPTOCOCCUS MUTANS: POSSIBLE ROLE IN MODULATING CARCINOGENESIS

Objective: Tobacco use in the smoking or smokeless form is the most common form of substance abuse recorded in the world. Not only does tobacco influence carcinogenesis but also modifies the oral microflora. The aim of our study was to assess the growth pattern of Streptococcus mutans under the influence of cigarette extract.Methods: Pure stock culture of S. mutans was grown in brain heart infusion broth mixed with three concentrations of aqueous cigarette extract. Quantification of the S. mutans colonies was performed in Mitis Salivarius Agar subculture. Biofilm assessment was also performed to find the adherent property of microorganisms.Statistical Analysis used: One-way ANOVA was used to compare the effect of cigarette extract on growth and biofilm formation of S. mutans. Results: There was increase in the colony counts with increasing concentration of cigarette extract (p<0.001). There was an observable trend noted in the biofilm assay.Conclusion: The colony growth is positively influenced by the cigarette additives (sugars and sweeteners), carbon dioxide environment, and biofilm modification. The altered flora with higher S. mutans may be linked with the higher salivary acetaldehyde production which promotes carcinogenesis. The flora may be protective by production of antitumorigenic or antimutagenic compounds. The balance between the carcinogenic and anticarcinogenic signals produced by tobacco and microflora influences the outcome of the disease

IR2Vec: LLVM IR based Scalable Program Embeddings

We propose IR2Vec, a Concise and Scalable encoding infrastructure to represent programs as a distributed embedding in continuous space. This distributed embedding is obtained by combining representation learning methods with flow information to capture the syntax as well as the semantics of the input programs. As our infrastructure is based on the Intermediate Representation (IR) of the source code, obtained embeddings are both language and machine independent. The entities of the IR are modeled as relationships, and their representations are learned to form a seed embedding vocabulary. Using this infrastructure, we propose two incremental encodings:Symbolic and Flow-Aware. Symbolic encodings are obtained from the seed embedding vocabulary, and Flow-Aware encodings are obtained by augmenting the Symbolic encodings with the flow information. We show the effectiveness of our methodology on two optimization tasks (Heterogeneous device mapping and Thread coarsening). Our way of representing the programs enables us to use non-sequential models resulting in orders of magnitude of faster training time. Both the encodings generated by IR2Vec outperform the existing methods in both the tasks, even while using simple machine learning models. In particular, our results improve or match the state-of-the-art speedup in 11/14 benchmark-suites in the device mapping task across two platforms and 53/68 benchmarks in the Thread coarsening task across four different platforms. When compared to the other methods, our embeddings are more scalable, is non-data-hungry, and has betterOut-Of-Vocabulary (OOV) characteristics.Comment: Accepted in ACM TAC

Role of an Agro Technique for the Development of Medicinal Plant: Shalparni

Vrikshayurveda a classical science of botanical field, this science deals with growth and development of plants. This science mainly suggests uses of Kunapa jala and Pancha gavya for the high productivity of crops. This concept works around organic farming for effective plant growth. Vrikshayurvedha mentioned Kunapajala as organic liquid manure which is a fermentation product and acts as plant nutrients. There are two types of Kunapajala mainly in practices viz; herbal and non-herbal which is prepared according to the procedures described in Vrikshayurvedha. Considering importance of this we planned a study to investigate role of Vrikshayurvedha concept for the development of medicinal plant; Shalparni. Present study investigated role of Kunapajala in the growth and % yield of plant Shalparni. This study observed that Kunapajala treatment offered best response with respect to root yield and soil physico-chemical parameters. Kunapajala increased plant yield quantitatively as well as qualitatively

Cajanus platycarpus (Benth.) Maesen as the donor of new pigeonpea cytoplasmic male sterile (CMS) system

Cajanus platycarpus, a distantly related wild species, was successfully crossed with cultivated pigeonpea using embryo rescue and tissue culture techniques. Advance generation lines showed a range of desirable characters including cytoplasmic male sterility. A range of pigeonpea cultivars restored fertility and was maintained by a few lines including cultivar ICPL 85010. Clasmogamous flowers were observed in the male sterile lines. In such flowers anthers did not form di-adlephous bundle. Cytological analysis revealed that meiosis proceeded normally till the tetrad stage in those anthers with pollen grains. After which many of the pollen grains turned sterile. In the anthers with pollen grains, dehiscence was not observed, thus creating functional sterility. In many other anthers, pollen mother cells (PMCs) were not formed at all, giving rise to sepalous anthers. In conclusion two mechanisms of male sterility existed, one was premeiotic, where PMCs did not form and in the second, although PMCs gave rise to pollen grains, they were either partially or totally sterile accompanied by nondehiscence of anther wall