Clustering Process for Mixed Dataset Using Shortest Path Non Parameterised Technique

Clustering in mixed dataset is a dynamic research focus in data mining concepts. The predictable clustering algorithm related to be more supportive to only one kind of attribute not for the mixed data type. Hence, the traditional clustering techniques processed with mixed attributes either by converting the numerical data type to categorical type or categorical type to numerical data type. But, utmost of the clustering processes are improved by converting numerical attributes. This progression of grouping ends up with two boundaries, the earlier limitation is that conveying numerical values to all types of categorical data is simply difficult. On the other hand the later drawback lies in the parameterized clustering which needs number of clusters as response for grouping the datasets. To succeed over the limitations the clustering technique is organised by incorporating shortest path and non-parameterized clustering. The proposed work of Shortest path non parameterised Clustering technique, the input parameter (number of clusters) is discovered spontaneously and the data objects of the cluster are grouped that are at the shortest distance

GENETIC DIVERGENCE ANALYSIS FOR CERTAIN YIELD AND QUALITY TRAITS IN RICE (ORYZA SATIVA L.) GROWN IN IRRIGATED SALINE LOW LAND OF ANNAMALAINAGAR, SOUTH INDIA

Genetic diversity among twenty six genotypes of rice genotypes from four states of South Eastern Region of India was evaluated using Mahalanobis D2 statistic. The experimental materials were evaluated during Samba season (August- December) 2005 and 2006 at the Plant Breeding Farm (11o 24’ N latitude and 79o 44’ E longitude, + 5.79 m MSL), Annamalai University, Annamalainagar, Tamilnadu, South India. Based on 12 morphological and quality characters namely, days to first flower, productive tillers per plant, panicle length (cm), number of grains per panicle, 1000 grain weight (g), grain length (mm), grain breadth (mm), grain L/B ratio, kernel length (mm), kernel breadth (mm), kernel L/B ratio and grain yield per plant (g) these genotypes were grouped into 13 clusters. Cluster I with seven genotypes was the largest cluster followed by Cluster V with four genotypes. Clusters IV, VII, VIII, X, XI, XII and XIII were mono genotypic clusters. Genotypes from more than one place of origin were grouped in one cluster, and genotypes from one state were grouped in more than one cluster. Geographical origin was not found to be a good parameter of genetic divergence. Clusters VI, III, and XII exhibited high values for most of the characters. The intra cluster distance was maximum (D = 100.90) in cluster I. The maximum inter cluster distance (D2 = 8235.56) was recorded between clusters II and III. Cluster XII recorded highest mean value for grain yield per plant and lowest mean value for days to first flower. Number of grains per panicle (42.71%) followed by days to first flower (25.62%) contributed maximum to total divergence. Hybridization among genotypes AUR 4, Annamalai mutant ponmani, Karnool sona, Jeeraga samba, AUR 7 and PY 5 from clusters III, II, XII and IX which had maximum inter-cluster distances and desirable values for days to first flower, number of grains per panicle, kernel length, kernel breadth, 1000 grain weight and grain yield per plant is likely to produce heterotic combinations and wide variability is segregating generations

An update on prodrugs from natural products

AbstractA natural prodrug is a chemical compound or substance obtained from plants, microorganism, animal and marine sources. Natural products are small molecule source for Food and Drug Administration approved drugs and major sources for drug discovery. Most of the drugs for different ailment diseases undergo first pass metabolism, resulting in drug inactivation and the generation of toxic metabolites in body. Enormous numbers of prodrugs naturally present in plants, microorganism, animal and marine sources and those prodrugs undergoes chemical reaction to form non-toxic compounds. This review summarizes the list of prodrugs naturally present in the natural product

Tingkah laku kepimpinan masyarakat Semai dalam Novel Ludaad

Kepimpinan ditakrifkan sebagai tingkat kepimpinan seseorang pemimpin iaitu pemimpin yang bertahap rendah, pertengahan atau tinggi. Dalam pada itu, Orang Asli atau Orang Asal pula merujuk kepada sekelompok penduduk bumiputera yang terdapat di Semenanjung Malaysia iaitu memiliki kepelbagaian sifatnya sama ada dari sudut etnik dan tempat tinggalnya. Kajian ini adalah untuk melihat kepimpinan masyarakat Semai dalam novel ‘Ludaad’ karya Mahat A/L China. Kajian ini didasarkan kepada tingkah laku kepimpinan masyarakat Semai yang sering ditimbulkan oleh pengarang dalam karyanya berdasarkan kaca mata beliau sendiri sebagai orang Semai. Fokus kajian ini adalah untuk meneliti tingkah laku pemimpin dalam melaksanakan tugas-tugas sebagai ketua masyarakat bagi menyelesaikan konflik-konflik yang berlaku dalam kalangan masyarakat Semai. Selain itu, kajian ini juga melihat sejauh manakah faktor situasi mempengaruhi pemimpin dalam membuat keputusan berdasarkan tingkah laku yang diamalkan bagi mengatasi konflik yang berlaku. Kaedah yang digunakan adalah kaedah kepustakaan, menganalisis kandungan teks dan pengaplikasian Teori Laluan-Matlamat bagi menguatkan lagi hujah yang ingin disampaikan. Hasil kajian menunjukkan bahawa tingkah laku kepimpinan melalui watak Penghulu Busu menepati empat dasar yang ditetapkan dalam Teori Laluan-Matlamat. Rumusan daripada kajian ini menunjukkan bahawa Penghulu Busu mengamalkan tingkah laku yang berbeza berdasarkan faktor peribadi sebagai ketua yang dihormati dan faktor persekitaran berdasarkan ancaman orang asing

Climate fluctuations of tropical coupled system: The role of ocean dynamics

The tropical oceans have long been recognized as the most important region for large-scale ocean–atmosphere interactions, giving rise to coupled climate variations on several time scales. During the Tropical Ocean Global Atmosphere (TOGA) decade, the focus of much tropical ocean research was on understanding El Niño–related processes and on development of tropical ocean models capable of simulating and predicting El Niño. These studies led to an appreciation of the vital role the ocean plays in providing the memory for predicting El Niño and thus making seasonal climate prediction feasible. With the end of TOGA and the beginning of Climate Variability and Prediction (CLIVAR), the scope of climate variability and predictability studies has expanded from the tropical Pacific and ENSO-centric basis to the global domain. In this paper the progress that has been made in tropical ocean climate studies during the early years of CLIVAR is discussed. The discussion is divided geographically into three tropical ocean basins with an emphasis on the dynamical processes that are most relevant to the coupling between the atmosphere and oceans. For the tropical Pacific, the continuing effort to improve understanding of large- and small-scale dynamics for the purpose of extending the skill of ENSO prediction is assessed. This paper then goes beyond the time and space scales of El Niño and discusses recent research activities on the fundamental issue of the processes maintaining the tropical thermocline. This includes the study of subtropical cells (STCs) and ventilated thermocline processes, which are potentially important to the understanding of the low-frequency modulation of El Niño. For the tropical Atlantic, the dominant oceanic processes that interact with regional atmospheric feedbacks are examined as well as the remote influence from both the Pacific El Niño and extratropical climate fluctuations giving rise to multiple patterns of variability distinguished by season and location. The potential impact of Atlantic thermohaline circulation on tropical Atlantic variability (TAV) is also discussed. For the tropical Indian Ocean, local and remote mechanisms governing low-frequency sea surface temperature variations are examined. After reviewing the recent rapid progress in the understanding of coupled dynamics in the region, this study focuses on the active role of ocean dynamics in a seasonally locked east–west internal mode of variability, known as the Indian Ocean dipole (IOD). Influences of the IOD on climatic conditions in Asia, Australia, East Africa, and Europe are discussed. While the attempt throughout is to give a comprehensive overview of what is known about the role of the tropical oceans in climate, the fact of the matter is that much remains to be understood and explained. The complex nature of the tropical coupled phenomena and the interaction among them argue strongly for coordinated and sustained observations, as well as additional careful modeling investigations in order to further advance the current understanding of the role of tropical oceans in climate

Role of the Gulf Stream and Kuroshio–Oyashio systems in large-scale atmosphere–ocean interaction : a review

Author Posting. © American Meteorological Society, 2010. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Climate 23 (2010): 3249-3281, doi:10.1175/2010JCLI3343.1.Ocean–atmosphere interaction over the Northern Hemisphere western boundary current (WBC) regions (i.e., the Gulf Stream, Kuroshio, Oyashio, and their extensions) is reviewed with an emphasis on their role in basin-scale climate variability. SST anomalies exhibit considerable variance on interannual to decadal time scales in these regions. Low-frequency SST variability is primarily driven by basin-scale wind stress curl variability via the oceanic Rossby wave adjustment of the gyre-scale circulation that modulates the latitude and strength of the WBC-related oceanic fronts. Rectification of the variability by mesoscale eddies, reemergence of the anomalies from the preceding winter, and tropical remote forcing also play important roles in driving and maintaining the low-frequency variability in these regions. In the Gulf Stream region, interaction with the deep western boundary current also likely influences the low-frequency variability. Surface heat fluxes damp the low-frequency SST anomalies over the WBC regions; thus, heat fluxes originate with heat anomalies in the ocean and have the potential to drive the overlying atmospheric circulation. While recent observational studies demonstrate a local atmospheric boundary layer response to WBC changes, the latter’s influence on the large-scale atmospheric circulation is still unclear. Nevertheless, heat and moisture fluxes from the WBCs into the atmosphere influence the mean state of the atmospheric circulation, including anchoring the latitude of the storm tracks to the WBCs. Furthermore, many climate models suggest that the large-scale atmospheric response to SST anomalies driven by ocean dynamics in WBC regions can be important in generating decadal climate variability. As a step toward bridging climate model results and observations, the degree of realism of the WBC in current climate model simulations is assessed. Finally, outstanding issues concerning ocean–atmosphere interaction in WBC regions and its impact on climate variability are discussed.Funding for LT was provided by the NASA-sponsored Ocean Surface Topography Science Team, under Contract 1267196 with the University of Washington, administered by the Jet Propulsion Laboratory. HN was supported in part by the Grant-in-Aid 18204044 by the Japan Society for Promotion for Science (JSPS) and the Global Environment Research Fund (S-5) of the Japanese Ministry of Environment. YK was supported by the Kerr Endowed Fund and Penzance Endowed Fund

Effects of fluoxetine on functional outcomes after acute stroke (FOCUS): a pragmatic, double-blind, randomised, controlled trial

Background Results of small trials indicate that fluoxetine might improve functional outcomes after stroke. The FOCUS trial aimed to provide a precise estimate of these effects. Methods FOCUS was a pragmatic, multicentre, parallel group, double-blind, randomised, placebo-controlled trial done at 103 hospitals in the UK. Patients were eligible if they were aged 18 years or older, had a clinical stroke diagnosis, were enrolled and randomly assigned between 2 days and 15 days after onset, and had focal neurological deficits. Patients were randomly allocated fluoxetine 20 mg or matching placebo orally once daily for 6 months via a web-based system by use of a minimisation algorithm. The primary outcome was functional status, measured with the modified Rankin Scale (mRS), at 6 months. Patients, carers, health-care staff, and the trial team were masked to treatment allocation. Functional status was assessed at 6 months and 12 months after randomisation. Patients were analysed according to their treatment allocation. This trial is registered with the ISRCTN registry, number ISRCTN83290762. Findings Between Sept 10, 2012, and March 31, 2017, 3127 patients were recruited. 1564 patients were allocated fluoxetine and 1563 allocated placebo. mRS data at 6 months were available for 1553 (99·3%) patients in each treatment group. The distribution across mRS categories at 6 months was similar in the fluoxetine and placebo groups (common odds ratio adjusted for minimisation variables 0·951 [95% CI 0·839–1·079]; p=0·439). Patients allocated fluoxetine were less likely than those allocated placebo to develop new depression by 6 months (210 [13·43%] patients vs 269 [17·21%]; difference 3·78% [95% CI 1·26–6·30]; p=0·0033), but they had more bone fractures (45 [2·88%] vs 23 [1·47%]; difference 1·41% [95% CI 0·38–2·43]; p=0·0070). There were no significant differences in any other event at 6 or 12 months. Interpretation Fluoxetine 20 mg given daily for 6 months after acute stroke does not seem to improve functional outcomes. Although the treatment reduced the occurrence of depression, it increased the frequency of bone fractures. These results do not support the routine use of fluoxetine either for the prevention of post-stroke depression or to promote recovery of function. Funding UK Stroke Association and NIHR Health Technology Assessment Programme

International Consensus Statement on Rhinology and Allergy: Rhinosinusitis

Background: The 5 years since the publication of the first International Consensus Statement on Allergy and Rhinology: Rhinosinusitis (ICAR‐RS) has witnessed foundational progress in our understanding and treatment of rhinologic disease. These advances are reflected within the more than 40 new topics covered within the ICAR‐RS‐2021 as well as updates to the original 140 topics. This executive summary consolidates the evidence‐based findings of the document. Methods: ICAR‐RS presents over 180 topics in the forms of evidence‐based reviews with recommendations (EBRRs), evidence‐based reviews, and literature reviews. The highest grade structured recommendations of the EBRR sections are summarized in this executive summary. Results: ICAR‐RS‐2021 covers 22 topics regarding the medical management of RS, which are grade A/B and are presented in the executive summary. Additionally, 4 topics regarding the surgical management of RS are grade A/B and are presented in the executive summary. Finally, a comprehensive evidence‐based management algorithm is provided. Conclusion: This ICAR‐RS‐2021 executive summary provides a compilation of the evidence‐based recommendations for medical and surgical treatment of the most common forms of RS

GENETIC DIVERGENCE ANALYSIS FOR CERTAIN YIELD AND QUALITY TRAITS IN RICE (ORYZA SATIVA L.) GROWN IN IRRIGATED SALINE LOW LAND OF ANNAMALAINAGAR, SOUTH INDIA

Genetic diversity among twenty six genotypes of rice genotypes from four states of South Eastern Region of India was evaluated using Mahalanobis D2 statistic. The experimental materials were evaluated during Samba season (August- December) 2005 and 2006 at the Plant Breeding Farm (11o 24’ N latitude and 79o 44’ E longitude, + 5.79 m MSL), Annamalai University, Annamalainagar, Tamilnadu, South India. Based on 12 morphological and quality characters namely, days to first flower, productive tillers per plant, panicle length (cm), number of grains per panicle, 1000 grain weight (g), grain length (mm), grain breadth (mm), grain L/B ratio, kernel length (mm), kernel breadth (mm), kernel L/B ratio and grain yield per plant (g) these genotypes were grouped into 13 clusters. Cluster I with seven genotypes was the largest cluster followed by Cluster V with four genotypes. Clusters IV, VII, VIII, X, XI, XII and XIII were mono genotypic clusters. Genotypes from more than one place of origin were grouped in one cluster, and genotypes from one state were grouped in more than one cluster. Geographical origin was not found to be a good parameter of genetic divergence. Clusters VI, III, and XII exhibited high values for most of the characters. The intra cluster distance was maximum (D = 100.90) in cluster I. The maximum inter cluster distance (D2 = 8235.56) was recorded between clusters II and III. Cluster XII recorded highest mean value for grain yield per plant and lowest mean value for days to first flower. Number of grains per panicle (42.71%) followed by days to first flower (25.62%) contributed maximum to total divergence. Hybridization among genotypes AUR 4, Annamalai mutant ponmani, Karnool sona, Jeeraga samba, AUR 7 and PY 5 from clusters III, II, XII and IX which had maximum inter-cluster distances and desirable values for days to first flower, number of grains per panicle, kernel length, kernel breadth, 1000 grain weight and grain yield per plant is likely to produce heterotic combinations and wide variability is segregating generations