187,449 research outputs found
Kalyani
No full text‘Kalyani’ is a Melakarta raga in the southern Indian musical system, from which the main theme of this piece derives. Fragments of the raga are heard in various guises throughout the work, sometimes presented aggressively in a percussive context, at other times in a more serene and melancholy manner.</p
Seasonal fluctuation in primary production in relation to the physicochemical parameters of two weed-infested ponds of Kalyani, West Bengal
No full textKalyani lake (P sub(1)), a weed infested recreational water body and a weed chocked derelict water body (P sub(2)) in the heart of Kalyani city of West Bengal were studied for a period of one year for their primary productivity and other physicochemical parameters. Very low primary productivity (GPP=360-1237mg C m super(-2) d super(-1); NPP=157-787 mg C m super(-2) d super(-1)) was recorded in P sub(2) in spite of having a high concentration of nutrients (PO sub(4)–P=0.052-0.260mg l super(- 1); NO sub(3)-N=0.110-0.412mg l super(-1)). On the other hand, moderate primary productivity (GPP=1687-3195mg C m super(-2) d super(-1); NPP=900-2700mg C m super(-2) d super(-1)) was found in P sub(1) with comparatively low range of nutrients (P0 sub(4)-P =0.010-0.058mg l super(-1); NO sub(3)-N=0.032-0.118mg l super(-1)). After studying the other physicochemical parameters (temperature, transparency, dissolved oxygen, free carbon dioxide, pH, alkalinity and macrophytic biomass), it was found that the overall hydro-biological conditions of the weed-chocked derelict water body (P sub(2)) is not congenial for biological production as compared to Kalyani Lake (P sub(1)). Kalyani Lake may be used for fish culture with proper management practices
Seasonal fluctuation in primary production in relation to the physicochemical parameters of two weed-infested ponds of Kalyani, West Bengal
No full textKalyani lake (P sub(1)), a weed infested recreational water body and a weed chocked derelict water body (P sub(2)) in the heart of Kalyani city of West Bengal were studied for a period of one year for their primary productivity and other physicochemical parameters. Very low primary productivity (GPP=360-1237mg C m super(-2) d super(-1); NPP=157-787 mg C m super(-2) d super(-1)) was recorded in P sub(2) in spite of having a high concentration of nutrients (PO sub(4)–P=0.052-0.260mg l super(- 1); NO sub(3)-N=0.110-0.412mg l super(-1)). On the other hand, moderate primary productivity (GPP=1687-3195mg C m super(-2) d super(-1); NPP=900-2700mg C m super(-2) d super(-1)) was found in P sub(1) with comparatively low range of nutrients (P0 sub(4)-P =0.010-0.058mg l super(-1); NO sub(3)-N=0.032-0.118mg l super(-1)). After studying the other physicochemical parameters (temperature, transparency, dissolved oxygen, free carbon dioxide, pH, alkalinity and macrophytic biomass), it was found that the overall hydro-biological conditions of the weed-chocked derelict water body (P sub(2)) is not congenial for biological production as compared to Kalyani Lake (P sub(1)). Kalyani Lake may be used for fish culture with proper management practices
Event calculus to support temporal reasoning in a clinical domain
No full textThis work concerns temporal aspects of a knowledge based system which holds information on patients as they progress through their treatment in a vascular surgery department. Representing and using knowledge about temporal relationships so as to provide decision support to a historical knowledge base of patient data is investigated. Event Calculus, in first order classical logic augmented with negation by failure, provides an effective framework for reasoning about time. From Kowalski and Sergot's original Event Calculus we arrive at a simple and flexible framework which can be used as a temporal support in a medical knowledge based system. We show how Event Calculus can be used to describe a simple model of the clinical pathway in vascular surgery. Patient information in the medical record is formalised in a structural framework to suit the Event Calculus. Medical knowledge about investigation and treatment options is added to the model so that the resulting system can recommend the options which are appropriate at any particular time. It is shown how these recommendations provide decision support by recommending what should be done next, and when to re-evaluate measurements that become unreliable. It is argued that there are advantages to be gained by adopting a general temporal reasoning framework because it can be extended to support various medical and administrative tasks. The extensions available to the Event Calculus, further its suitability as a temporal reasoning framework in the medical domain. A prototype system, essentially a research workbench over a realistic domain, is built using Prolog to illustrate the temporal reasoning capabilities provided by the Event Calculus framework. Using case studies it is demonstrated how the prototype system fulfils the decision support abilities we aimed to achieve in the knowledge base.</p
Accelerating iterative solvers via a two-dimensional minimum residual technique
No full textThis paper deals with speeding up the convergence of a class of two-step iterative methods for solving linear systems of equations. To implement the acceleration technique, the residual norm associated with computed approximations for each sub-iterate is minimized over a certain two-dimensional subspace. Convergence properties of the proposed method are studied in detail. The approach is further developed to solve (regularized) normal equations arising from the discretization of ill-posed problems. The results of numerical experiments are reported to illustrate the performance of exact and inexact variants of the method on several test problems from different application areas
sj-docx-1-dhj-10.1177_20552076231207203 - Supplemental material for Firefly-SVM predictive model for breast cancer subgroup classification with clinicopathological parameters
No full textSupplemental material, sj-docx-1-dhj-10.1177_20552076231207203 for Firefly-SVM predictive model for breast
cancer subgroup classification with clinicopathological parameters by Suvobrata Sarkar and Kalyani Mali in DIGITAL HEALTH</p
Use of Library Resources in University Libraries by the Students A Survey with University of Kalyani
No full text
This study is based on the InformaSeeking behavior of the Students at the University of Kalyani. The primary data was collected through a questionnaire of 60 students of the University of Kalyani. This study reveals that guidance in the use of library resources and s(Jrvic8s is necessary to help students to meet their information requirements. Found that journals, textbooks, and lecture notes are the most popular sources of information for the student's course. Recommends that the latest edition of textbooks and reference materials should be added to the library connection. Suggests that the CD-ROM databases of journals archives and reference books are added and users should also be guided to use the resources of the library.</p
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Effects of Macronutrients on Seed Quality and Profitability Analysis of Sunflower Production in Northwest Pakistan
No full textPotassium (K) and phosphorus (P) application to sunflower (Helianthus annus L.) reduced cost of production, increased seed oil and protein concentration, yield and net returns on the K and P deficient soils in Northwest Pakistan. Field experiment was conducted at the New Developmental Research Farm of NWFP (North West Frontier Province) Agricultural University Peshawar, Pakistan during summer 2006. The experiment was carried out in a randomized complete block design with split plot arrangements using three replications. Six levels of K (0, 25, 50, 75, 100 and 125 kg ha-1) were kept in main plots while four levels of P (0, 45, 90 and 135 kg ha-1) were kept in sub-plots. Increase in K and P levels enhanced seed oil concentration, on the other hand, increase in P level increased seed protein concentration but increase in K level decreased seed protein concentration. Both oil and protein yields per unit area increased significantly with increase in K and P levels. The increase in oil and protein yields of sunflower was mainly attributed to the improvement in yield components and significant increase in seed yield. The highest net returns of Rs. 25268 (grain yield basis) and Rs. 31274 (oil yield basis) was obtained from those plots that received a combination of 100 kg K + 45 kg P ha-1. Application of 100 kg K ha-1 + 45 kg P ha-1 was therefore, recommended for profitable sunflower production in the agro-climatic conditions in Northwest Pakistan.sunflower, potassium, phosphorus, oil, protein, economic analysis, Northwest Pakistan, Farm Management, International Development, International Relations/Trade, Production Economics, Productivity Analysis,
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