402 research outputs found

    Effects of pre-processing and postprocessing on the watershed transform

    Get PDF

    Text Categorization based on Associative Classification

    Get PDF
    Text mining is an emerging technology that can be used to augment existing data in corporate databases by making unstructured text data available for analysis. The incredible increase in online documents, which has been mostly due to the expanding internet, has renewed the interest in automated document classification and data mining. The demand for text classification to aid the analysis and management of text is increasing. Text is cheap, but information, in the form of knowing what classes a text belongs to, is expensive. Text classification is the process of classifying documents into predefined categories based on their content. Automatic classification of text can provide this information at low cost, but the classifiers themselves must be built with expensive human effort, or trained from texts which have themselves been manually classified. Both classification and association rule mining are indispensable to practical applications. For association rule mining, the target of discovery is not pre-determined, while for classification rule mining there is one and only one predetermined target. Thus, great savings and conveniences to the user could result if the two mining techniques can somehow be integrated. In this paper, such an integrated framework, called associative classification is used for text categorization The algorithm presented here for text classification uses words as features , to derive feature set from preclassified text documents. The concept of Naïve Bayes classifier is then used on derived features for final classification

    Identification of critical residues in loop E in the 5-HT(3AS)R binding site

    Get PDF
    BACKGROUND: The serotonin type 3 receptor (5-HT(3)R) is a member of a superfamily of ligand gated ion channels. All members of this family share a large degree of sequence homology and presumably significant structural similarity. A large number of studies have explored the structure-function relationships of members of this family, particularly the nicotinic and GABA receptors. This information can be utilized to gain additional insights into specific structural and functional features of other receptors in this family. RESULTS: Thirteen amino acids in the mouse 5-HT(3AS)R that correspond to the putative E binding loop of the nicotinic α7 receptor were chosen for mutagenesis. Due to the presence of a highly conserved glycine in this region, it has been suggested that this binding loop is comprised of a hairpin turn and may form a portion of the ligand-binding site in this ion channel family. Mutation of the conserved glycine (G147) to alanine eliminated binding of the 5-HT(3)R antagonist [(3)H]granisetron. Three tyrosine residues (Y140, Y142 and Y152) also significantly altered the binding of 5-HT(3)R ligands. Mutations in neighboring residues had little or no effect on binding of these ligands to the 5-HT(3AS)R. CONCLUSION: Our data supports a role for the putative E-loop region of the 5-HT(3)R in the binding of 5-HT, mCPBG, d-tc and lerisetron. 5-HT and mCPBG interact with Y142, d-tc with Y140 and lerisetron with both Y142 and Y152. Our data also provides support for the hypothesis that this region of the receptor is present in a loop structure

    Diurnal variation of phytoplankton community in the coastal waters of South Andaman Island with special emphasis on bloom forming species

    Get PDF
    1383-1397Species composition, abundance and distribution of phytoplankton dynamics were studied from the coastal waters of South Andaman Islands during December 2015 to February 2016. Physico-chemical parameters and phytoplankton species composition were observed during the study. Environmental parameters such as surface water temperature - 33ºC (r=0.96; pppp-1) were recorded. A total of 82 species under 50 genera of phytoplanktons were recorded belonging to Bacillariophyceae, Dinophyceae, Cyanophyceae and Silicoflagellate groups. Diatoms were represented by 68 species belonging to 40 genera, Dinoflagellates were represented by 12 species belonging to 8 genera, and 1 species belonging to a genera Cyanophyceae and Silicoflagellate were observed. Among the diatoms, Coscinodiscus centralis, Rhizosolenia alata, R. imbricata, Bacteriastrum furcatum, Leptocylindrus danicus, Odentella sinensis, Pleurosigma sp., Skeletonema costatum and Thalassionema nitzschioides and among the dinoflagellates, Ceratium furca, Prorocentrum micans, P. divergens and Pyrophacus sp. were the most prevalent diatoms and dinoflagellates encountered in the samples. The population density fluctuated between in the range of 53-63034 cells.mL-1. The highest population density was recorded in January at (St.1) Chatham bay due to the blooming of diatom R. imbricata (63000 cells.mL-1), were observed. Moreover, increase in water temperature and salinity was also found to be an influencing co-factor that had contributed to the algal bloom

    A case study on Dusta Vrana (Non Healing Varicose Ulcer)

    Get PDF
    Any kind of destruction / break / rupture / discontinuity of body tissue/part of the body is called Vrana. Vrana which doesn’t heal in its natural course of healing time is said to be Dusta Vrana along with other pathological manifestations further. Acharya Susruta explains, when a person  does not have control over his indriya’s and  follows Apathyaja ahaar ,vihar with untimely treated wound  leads to severe vitiation of Doshas forming Dushta Vrana. In classics it’s been widely explained about the chikitsa of   Vrana. Considering clinical features of dusta vrana and cause here the correlated with Non healing varicose ulcer. The Chronic non healing ulcer are the ulcers that have failed to progress through a time. Sequence of repair, or one that proceeds through the wound healing process without restoring anatomic and functional results

    A comparative study of structural and electronic properties of transition metal compounds of ThCr2Si2 type

    Get PDF
    The electronic structures of transition metal compounds of ThCr2Si2 type were studied by means of self-consistent TB-LMTO (Tight Binding Linear Muffin Tin Orbital) band structure calculations. The structural parameters such as lattice constant, space group number, nuclear charge are used to operate TB-LMTO method. And different bonding interactions in transition metal compounds (SrTh2P2, SrRu2P2, LaRu2P2) are analyzed and their dependence on the electron count are discussed in terms of formal substitution of elements. Particularly the evolution of interlayer bonding between nonmetal atoms by changing the transition metal is examined in more detail

    Effect of Nitya Virechana in Hypercholesterolemia - A Case Report

    Get PDF
    Cholesterol is circulating lipid, part of cell membranes used for synthesis of steroid hormones, bile salts and vitamin D. It is derived from diet as well as synthesized within the body in liver which is essential for proper functioning of the body. The fat tissue mixed with Ama is imbalanced cholesterol. This is responsible for altered quality of fat tissue and cholesterol. It creates number of pathological conditions affecting multiple systems including IHDs, Strokes etc. High cholesterol raises risk for Cardiac ailments like cardiac arrest etc. Nitya Virechana can be planned in Alpa Bala Rogi to eliminate excessive aggravated Doshas (in Bahu Doshavastha) in small quantity on daily basis. Nitya Virechana in Hriswa / Madhyama Matra without any Purvakarma helps for Koshtha Shuddhi, Srotoshodhana (reducing Margavarodha) and Agni Vriddhi, controls further progression of disease. In present case study the patient was said to be healthy before 2 years. He gradually gained weight overtime. Since last 3 months he had complained of fatigue with exertional dyspnoea. Nitya Virechana helped patient in many aspects within two months

    Dinacharya - Holistic approach towards heathy life

    Get PDF
    Ayurveda is not only a medical science but also it’s complete science of life. It not only gives importance to cure of various health ailments but also preventive measures. The Dinacharya is one among them. The word Dinacharya comprises two words. The Dina and the Charya. The Dina means Day / Daily, whereas the Charya means Activity / regimens / movements. Dinacharya means daily regimen or conduct. Dinacharya play an important role to attain Purusharthas (Dharma, Artha, Kama and Moksha). Dinacharya covers all the activities that man can perform spontaneously, deliberately which results both physical and mental fitness. The daily regimen also explains the various duties and is divided into two types viz; day regimen and the night regimen. The present study reveals the daily regimens, their types and methods according to various Ayurvedic texts. Dinacharya comprises of waking up in the early morning, praising God, Drinking water early morning after waking up, Mala Mutravisarjana, Cleaning of teeth, Tongue scraping, Cleaning of face, Mouth gargling, Application of collyrium, Nasal medication, Medicated smoking, oiling of head, physical exercise, Bath, Proper dressing, Smearing body with perfume, Proper food intake, Chewing of betal leaves, Attending prescribed profession, Achamana, Sandhyavandana, Ratribhojana, and finally Proper sleep

    Comparison of ANN Backpropagation Algorithm and Random Forest Regression in Predicting the Number of New Students

    Get PDF
    Higher education institutions are educational units located at a higher level after high school or vocational school. Catholic University Darma Cendika Surabaya (UKDC) faces challenges in managing the admission of new students due to variations in the number of prospective students applying to each department, which is also influenced by changing trends in interests and job needs in Indonesia. The use of Artificial Neural Network with Backpropagation and Random Forest Regression algorithms for comparing the prediction of new student admissions in the following year will be beneficial for the administration of Catholic University Darma Cendika Surabaya (UKDC) to gain a clearer understanding of the dynamics of admissions and to support decision making in the future development of the university. The predicted number of students joining Catholic University Darma Cendika Surabaya  (UKDC) in the 2024 period using Artificial Neural Network is 219 students with a Mean Squared Error (MSE) of 0,1046 and Root Mean Square Error (RMSE) of 0,32

    Peer Support on A College Campus at An Indian University

    Get PDF
    Young adults experience an increased risk of developing mental health problems as they transition from school life to university life. This is also the period of life where the peer group plays a significant role in their decisions. We describe this process of co-creating a peer support (PS) program in a residential university setting in India. The collaborative design process is described from a baseline felt need assessment to selecting and training student peer support volunteers (PSVs). The ongoing implementation and design of the program were informed by design thinking by the university staff and PSVs.The survey conducted among the first-year students of a University in South India revealed that the students were predominantly focused on difficulties in social interactions, lack of adequate mental health services, and issues related to help-seeking. This guided the content and skill development of the PSVs. The PSVs used reflective learning as the program was being implemented to identify the lacunae in the training and implementation of the PS program. They were able to provide constructive feedback and implement the changes.The PS program is an example of a low-intensity intervention that provides contextual support to students in an academic setting. This program also highlights task-sharing that is more acceptable to the youth and, therefore, more sustainable. A co-design and iterative process will give the youth-focused program a greater reach, reduce stigma, and improve help-seeking for mental health issues. This also helps create appropriate referrals for a higher level of care. This program description does not include a formal evaluation of the impact of the same, which could guide future work. Keywords: Peer Support, Academic settings, Stigma reduction, Youth Empowerment DOI: 10.7176/JEP/14-23-06 Publication date:August 31st 202
    corecore