Assessing Water Charges under Changing Institutional Irrigation Management in Pakistan: A Methodological Framework

The Government of Pakistan has opted for institutional reforms for canal irrigation system of the country with a view to undertaking efficient operation and maintenance of the system and improving cost recovery. In the new reforms, the Farmers’ Organisations will manage distributaries and minors and pay the cost of upstream water in full. The complex hierarchy of the system poses serious challenges for working out the cost of water delivery for various channels. The paper presents a methodological framework for assessing the recoverable O&M costs from the farmers benefiting from an irrigation network. Hakra 4-R Distributary in the Eastern Sadiqia Canal serves as an illustration. The methodology shows how the beneficiary farmers can share the costs of the system. Simple methods are provided for working out water rates on the basis of volume of water received, commanded area, and duration of the irrigation turn. Out of the three methods, the area-based and time-based water rates have comparative advantage over the volumetric water rates owing to the resource endowments of the farmers

Novel Stimuli-Responsive Pectin-PVP-Functionalized Clay Based Smart Hydrogels for Drug Delivery and Controlled Release Application

Stimuli-responsive drug delivery systems are urgently required for injectable site-specific delivery and release of drugs in a controlled manner. For this purpose, we developed novel pH-sensitive, biodegradable, and antimicrobial hydrogels from bio-macromolecule pectin, polyvinylpyrrolidone (PVP), 3-aminopropyl (diethoxy)methyl silane (3-APDEMS), and sepiolite clay via blending and solution casting technique. The purified sepiolite (40 um) was functionalized with 3-APDEMS crosslinker (ex-situ modification) followed by hydrogels fabrication. FTIR and SEM confirmed crosslinked structural integrity and rod-like morphology of hydrogels respectively. The swelling properties of hydrogels could be controlled by varying the concentration of modified clay in pectin/PVP blends. Moreover, the decrease in pH increased the swelling of hydrogels indicating the pH-responsiveness of hydrogels. All hydrogels were degraded after 21 days in phosphate buffer saline pH 7.4 (human blood pH). In-vitro cytotoxicity against 3T3 mouse fibroblast cell line analysis confirmed cytocompatibility of all hydrogels. Ceftriaxone sodium (CTX-S) was selected as a model drug. The release profile of the hydrogel showed 91.82% release in PBS for 2 h in a consistent and controlled manner. The chemical structure of the drug remained intact during and after release confirmed through UV-Visible spectroscopy. Overall, these hydrogels could be used as potential scaffolds for future biomedical applications

Heuristic Modeling and 3D Stereoscopic Visualization of a Chlamydomonas reinhardtii Cell

The structural modeling and representation of cells is a complex task as different microscopic, spectroscopic and other information resources have to be combined to achieve a three-dimensional representation with high accuracy. Moreover, to provide an appropriate spatial representation of the cell, a stereoscopic 3D (S3D) visualization is favorable. In this work, a structural cell model is created by combining information from various light microscopic and electron microscopic images as well as from publication-related data. At the mesoscopic level each cell component is presented with special structural and visual properties; at the molecular level a cell membrane composition and the underlying modeling method are discussed; and structural information is correlated with those at the functional level (represented by simplified energy-producing metabolic pathways). The organism used as an example is the unicellular Chlamydomonas reinhardtii, which might be important in future alternative energy production processes. Based on the 3D model, an educative S3D animation was created which was shown at conferences. The complete workflow was accomplished by using the open source 3D modeling software Blender. The discussed project including the animation is available from: http://Cm5.CELLmicrocosmos.or

BrAPI-an application programming interface for plant breeding applications

Motivation: Modern genomic breeding methods rely heavily on very large amounts of phenotyping and genotyping data, presenting new challenges in effective data management and integration. Recently, the size and complexity of datasets have increased significantly, with the result that data are often stored on multiple systems. As analyses of interest increasingly require aggregation of datasets from diverse sources, data exchange between disparate systems becomes a challenge. Results: To facilitate interoperability among breeding applications, we present the public plant Breeding Application Programming Interface (BrAPI). BrAPI is a standardized web service API specification. The development of BrAPI is a collaborative, community-based initiative involving a growing global community of over a hundred participants representing several dozen institutions and companies. Development of such a standard is recognized as critical to a number of important large breeding system initiatives as a foundational technology. The focus of the first version of the API is on providing services for connecting systems and retrieving basic breeding data including germplasm, study, observation, and marker data. A number of BrAPI-enabled applications, termed BrAPPs, have been written, that take advantage of the emerging support of BrAPI by many databases

Web-based hybrid-dimensional Visualization and Exploration of Cytological Localization Scenarios

Kovanci G, Ghaffar M, Sommer B. Web-based hybrid-dimensional Visualization and Exploration of Cytological Localization Scenarios. Journal of Integrative Bioinformatics. 2016;13(4): 298.The CELLmicrocosmos 4.2 PathwayIntegration (CmPI) is a tool which provides hybrid-dimensional visualization and analysis of intracellular protein and gene localizations in the context of a virtual 3D environment. This tool is developed based on Java/Java3D/JOGL and provides a standalone application compatible to all relevant operating systems. However, it requires Java and the local installation of the software. Here we present the prototype of an alternative web-based visualization approach, using Three. js and D3. js. In this way it is possible to visualize and explore CmPI-generated localization scenarios including networks mapped to 3D cell components by just providing a URL to a collaboration partner. This publication describes the integration of the different technologies - Three. js, D3. js and PHP - as well as an application case: a localization scenario of the citrate cycle. The CmPI web viewer is available at: http://CmPIweb.CELLmicrocosmos.org

Web-based hybrid-dimensional Visualization and Exploration of Cytological Localization Scenarios

The CELLmicrocosmos 4.2 PathwayIntegration (CmPI) is a tool which provides hybriddimensional visualization and analysis of intracellular protein and gene localizations in the context of a virtual 3D environment. This tool is developed based on Java/Java3D/JOGL and provides a standalone application compatible to all relevant operating systems. However, it requires Java and the local installation of the software. Here we present the prototype of an alternative web-based visualization approach, using Three.js and D3.js. In this way it is possible to visualize and explore CmPI-generated localization scenarios including networks mapped to 3D cell components by just providing a URL to a collaboration partner. This publication describes the integration of the different technologies - Three.js, D3.js and PHP - as well as an application case: a localization scenario of the citrate cycle. The CmPI web viewer is available at: http://CmPIweb.CELLmicrocosmos.org

Frequency of nutritional rickets in children admitted with severe pneumonia

OBJECTIVE: To determine the frequency of nutritional rickets in children hospitalized with severe pneumonia. METHOD: This study was carried out at the department of paediatric medicine at National Institute of Child Health Karachi. It is a case series done over a period of six months from 15th November 2008 to 15th may 2009. Patients admitted (n=137) with severe pneumonia were included in the study and were investigated for presence of rickets with serum calcium, phosphorus and alkaline phosphatase. Those having low to normal calcium low phosphorus and raised alkaline phosphatase were labeled as having rickets. All data collected were entered on Performa. Children with familial, vitamin D dependent/resistant rickets, secondary rickets, and cerebral palsy or on anti convulsant therapy were excluded from this study. RESULTS: Out of 137 patients, with severe pneumonia, 83 were male and 54 female. Frequency of nutritional rickets in children with severe pneumonia was observed in 101(74%) cases. Rickets was more common in 2 to 12 months of age, i.e., 79.8% (67/84) and in those children who were breast fed (85.3% vs. 40%). Frequency was higher in those children who were not exposed to sunlight. CONCLUSION: Pneumonia is a very common presentation of rickets. This study suggests that rickets may be more common in children who are breast fed and those who have less exposure to sunlight

Prediction of Heart Disease using Artificial Neural Network

Heart disease is increasing rapidly due to number of reasons. If we predict cardiac arrest (dangerous conditions of heart) in the early stages, it will be very helpful to cured this disease. Although doctors and health centres collect data daily, but mostly are not using machine learning and pattern matching techniques to extract the knowledge that can be very useful in prediction. Bioinformatics is the real world application of machine learning to extract patterns from the datasets using several data mining techniques. In this research paper, data and attributes are taken from the UCI repository. Attribute extraction is very effective in mining information for the prediction. By utilizing this, various patterns can be derived to predict the heart disease earlier. In this paper, we enlighten the number of techniques in Artificial Neural Network (ANN). The accuracy is calculated and visualized such as ANN gives 94.7% but with Principle Component Analysis (PCA) accuracy rate improve to 97.7%