Improving quality of life, emotional states and medical compliance in recipients of kidney transplants

Quality of Life (QOL) amongst transplant patients has become an issue as a means to optimize the use of scarce resources and improve outcome. The relationship between QOL, medical compliance, psychosocial states and QOL is presented as follows: Patient empowerment: Patient empowerment and compliance with medications in patients who experienced late acute rejection, was assessed using the Long-term Medication Behaviour Scale (LTMBS-scale). We demonstrated a relationship between late acute rejection and low confidence in taking medication and items relating to physical and psychological symptoms. Effect of psychotherapeutic program on emotional states after kidney transplantation: Recurring emotional states as recalled by patients during psychotherapy sessions (e.g. loss of QOL) were analysed and used to formulate effective group and individual psychotherapy intervention. The Beck Depression Inventory (BDI) was utilised as a measure of change before, during and after treatment. There was significant improvement in psychological states after therapy contemplated as follows, (i) fear of rejection, (ii) feelings of paradoxical loss (iii) psychological integration of the transplant. Randomised controlled study to determine the efficacy of individual or group psychotherapy amongst kidney transplant patients: Analysis of group and individual psychotherapy in recipients of kidney transplants versus control patients was conducted. Improvement appeared to be more significant in the individual therapy compared to group therapy (p= 0.01). In both the individual and group therapy arm, lowering of scores was progressive and sustained (p=O.OI). However, individual therapy resulted in the lowest BDI scores at the end of treatment period. Coming to terms with the 'imagined past': After a successful transplant, patients may present with feelings of paradoxical loss (e.g. grief or low mood). We propose that paradoxical loss should be considered in terms of an imagined past (loss of life goals which have never been actualised as a result of chronic illness). Feelings of loss present an obstacle to a good QOL after transplantation as low mood may lead to ambivalence and subsequently to non-compliance

Experimental evaluation of rock-bed filtration model

ผลงานวิชาการคณาจารย์มหาวิทยาลัยเทคโนโลยีสุรนาร

Comparative review of solid waste disposal in some asia cities

ผลงานวิชาการคณาจารย์มหาวิทยาลัยเทคโนโลยีสุรนาร

Diurnal variations of plankton diversity and physico-chemical characteristics of Rewalsar Wetland, Himachal Pradesh, India

The contemporary examination signifies diurnal variations in various physico-chemical parameters of Rewalsar wetland during summer and winter. Fluctuations in the intensity and duration of solar radiations, temperature, photosynthesis, respiration and decomposition were the major factor responsible for diel fluctuations in the physico-chemical factors. Water temperature showed increment from 24.82°C to 29.20°C in June and from 9.15°C to 12.95°C in January. Minimum and maximum values of temperature were recorded at 06.30 hrs and 14.30 hrs respectively. Secchi disc transparency was low in the wetland due to abundance of phytoplankton. It ranged from 0.00-121.00 cm during summer and 0.00-131.00 cm during winter. Oxygen percentage saturation values were minimum (summer 26% and in winter 58%) in the morning at 06.30 hrs and reached maximum (70% in summer and 100% in winter) in the afternoon at 14.30 hrs. Free carbon dioxide was present only at 06.30 a.m. in winter. The pH of water remained alkaline and increased from 10.30 hrs to 14.30 hrs, thereafter it decreased again. Carbonates were present only in January (0.00-5.80 mg L–1). Bicarbonates were 132.52-152.50 mg L–1 in June and 92.35-121.23 mg L–1 in January. The values for chloride, hardness and electrical conductance were higher during summer as compared to winter. Total hardness showed fluctuations from 163.45 to 181.24 mg L–1 in summer and 121.45 to 140.72 mg L–1 in winter, chloride. Phytoplankton were composed of members of Bacillariophyceae, Chlorophyceae, Cyanophyceae, Euglenophyceae and Cryptophyceae. Phytoplankton showed up movements during day time and down movement after sunset. Zooplankton were composed of Rotifera, Cladocera and Copepoda. They showed up migration during night hours and down migration during day

GRAPHiQL: A graph intuitive query language for relational databases

Graph analytics is becoming increasingly popular, driving many important business applications from social network analysis to machine learning. Since most graph data is collected in a relational database, it seems natural to attempt to perform graph analytics within the relational environment. However, SQL, the query language for relational databases, makes it difficult to express graph analytics operations. This is because SQL requires programmers to think in terms of tables and joins, rather than the more natural representation of graphs as collections of nodes and edges. As a result, even relatively simple graph operations can require very complex SQL queries. In this paper, we present GRAPHiQL, an intuitive query language for graph analytics, which allows developers to reason in terms of nodes and edges. GRAPHiQL provides key graph constructs such as looping, recursion, and neighborhood operations. At runtime, GRAPHiQL compiles graph programs into efficient SQL queries that can run on any relational database. We demonstrate the applicability of GRAPHiQL on several applications and compare the performance of GRAPHiQL queries with those of Apache Giraph (a popular `vertex centric' graph programming language)

A study on incremental mining of frequent patterns

Data generated from both the offline and online sources are incremental in nature. Changes in the underlying database occur due to the incremental data. Mining frequent patterns are costly in changing databases, since it requires scanning the database from the start. Thus, mining of growing databases has been a great concern. To mine the growing databases, a new Data Mining technique called Incremental Mining has emerged. The Incremental Mining uses previous mining result to get the desired knowledge by reducing mining costs in terms of time and space. This state of the art paper focuses on Incremental Mining approaches and identifies suitable approaches which are the need of real world problem.Keywords: Data Mining, Frequent Pattern, Incremental Mining, Frequent Pattern Minung, High Utility Mining, Constraint Mining

A review of challenges from increasing renewable generation in the Indian Power Sector: Way forward for Electricity (Amendment) Bill 2020

About 70% of India’s current energy mix comprises of coal, and the increase in generation from renewable (RE) sources is affecting the health of the power system. We investigated this effect through the lens of asset utilisation, cost and the social disruption caused by accelerating RE into the Indian Power System. Our review-driven analysis revealed that increasing RE generation is pushing the coal plants to operate in low-loading conditions, causing heightened wear and tear of the plant as they are not suitable for flexible operation. The novel analysis of social disruption due to market parity between RE and coal-based generation presented a holistic view of the political economy of Indian Power System. We found that transition from coal to RE may have extended socio-political ramifications that can potentially disrupt the national economy at an unprecedented scale. Policy implications outlined by our study for the draft Electricity (Amendment) Bill 2020 include scoping a socio-technical framework which supports just energy transition through better financial support mechanisms for flexible operation of coal plants. Focusing on clean-up over shut-down of coal plants and facilitating investments in battery storage technologies and cross-border electricity trade as RE and conventional fuel reach market parity. Bill and Melinda Gates Foundation [OPP1144] and Energy Transition Small Grant by Isaac Newton Trus