Constraint-based Query Distribution Framework for an Integrated Global Schema

Distributed heterogeneous data sources need to be queried uniformly using global schema. Query on global schema is reformulated so that it can be executed on local data sources. Constraints in global schema and mappings are used for source selection, query optimization,and querying partitioned and replicated data sources. The provided system is all XML-based which poses query in XML form, transforms, and integrates local results in an XML document. Contributions include the use of constraints in our existing global schema which help in source selection and query optimization, and a global query distribution framework for querying distributed heterogeneous data sources.Comment: The Proceedings of the 13th INMIC 2009), Dec. 14-15, 2009, Islamabad, Pakistan. Pages 1 - 6 Print ISBN: 978-1-4244-4872-2 INSPEC Accession Number: 11072575 Date of Current Version : 15 January 201

Thermal, electrochemical and mechanical properties of shape memory alloy developed by a conventional processing route

A Cu based shape memory alloy (Cu-Al-Ni) having a composition 83% Cu, 14% Al, 3% Ni, was developed and studied to determine the shape memory effect. Powder of Cu, Al and Ni was melted in a pit furnace at about 15500C, and casted alloy was heat treated at 8500C for a period of 50 minutes followed by water quenching. Microstructure characterization of alloy (Cu-Al-Ni) was carried out to determine the pre-quenched (cast structure) and quenched martensitic structure. The microstructure analysis of developed samples showed needle like structure of quenched martensite after heat treatment. It has a very good resemblance with structure of casted shape memory alloy obtained from the vacuum induction process. The Vickers hardness test was also performed. Quenched microstructure with improved hardness than pre-quenched structure was observed.Keywords: Shape Memory Alloy, Microstructure, Mechanical Propertie

Research Collaboration Influence Analysis Using Dynamic Co-authorship and Citation Networks

Collaborative research is increasing in terms of publications, skills, and formal interactions, which certainly makes it the hotspot in both academia and the industrial sector. Knowing the factors and behavior of dynamic collaboration network provides insights that helps in improving the researcher’s profile and coordinator’s productivity of research. Despite rapid developments in the research collaboration process with various outcomes, its validity is still difficult to address. Existing approaches have used bibliometric network analysis with different aspects to understand collaboration patterns that measure the quality of their corresponding relationships. At this point in time, we would like to investigate an efficient method to outline the credibility of findings in publication—author relations. In this research, we propose a new collaboration method to analyze the structure of research articles using four types of graphs for discerning authors’ influence. We apply different combinations of network relationships and bibliometric analysis on the G-index parameter to disclose their interrelated differences. Our model is designed to find the dynamic indicators of co-authored collaboration with an influence on the author’s behavior in terms of change in research area/interest. In the research we investigate the dynamic relations in an academic field using metadata of openly available articles and collaborating international authors in interrelated areas/domains. Based on filtered evidence of relationship networks and their statistical results, the research shows an increment in productivity and better influence over time

From Conventional to State-of-the-Art IoT Access Control Models

open access articleThe advent in Online Social Networks (OSN) and Internet of Things (IoT) has created a new world of collaboration and communication between people and devices. The domain of internet of things uses billions of devices (ranging from tiny sensors to macro scale devices) that continuously produce and exchange huge amounts of data with people and applications. Similarly, more than a billion people are connected through social networking sites to collaborate and share their knowledge. The applications of IoT such as smart health, smart city, social networking, video surveillance and vehicular communication are quickly evolving people’s daily lives. These applications provide accurate, information-rich and personalized services to the users. However, providing personalized information comes at the cost of accessing private information of users such as their location, social relationship details, health information and daily activities. When the information is accessible online, there is always a chance that it can be used maliciously by unauthorized entities. Therefore, an effective access control mechanism must be employed to ensure the security and privacy of entities using OSN and IoT services. Access control refers to a process which can restrict user’s access to data and resources. It enforces access rules to grant authorized users an access to resources and prevent others. This survey examines the increasing literature on access control for traditional models in general, and for OSN and IoT in specific. Challenges and problems related to access control mechanisms are explored to facilitate the adoption of access control solutions in OSN and IoT scenarios. The survey provides a review of the requirements for access control enforcement, discusses several security issues in access control, and elaborates underlying principles and limitations of famous access control models. We evaluate the feasibility of current access control models for OSN and IoT and provide the future development direction of access control for the sam

Ferula asafoetida Linn. is effective for early functional recovery following mechanically induced insult to the sciatic nerve of a mouse model

Purpose: To evaluate the effect of Ferula asafoetida (oleo gum resin powder) on sensory and motor functions retrieval on an induced sciatic nerve injury in a mouse model.Methods: A mechanical crush was inserted in the sciatic nerve of all the experimental mice after acclimatization. The mice were allocated to four groups; one normal chow group (control, n = 7) and three Ferula asafoetida chow groups (each n = 7) of different doses (50, 100 and 200 mg/kg). Muscle grip strength, muscle mass, and sciatic functional index were measured to evaluate the motor function regain, while sensory function regain was assessed by hot plate test. Oxidative stress and glycemic levels were measured by biochemical assays.Results: The findings of this study indicate that Ferula asafoetida 200 mg/kg has a highly significant (p≤ 0.001) ameliorating effect in terms of improved grip strength (77.7 ± 5.4 % for 200 mg/kg vs. 46 ± 5.1 % for control), reversal of SFI towards normal ( -34 ± 8.1 for 200 mg/kg group vs. –61 ± 6.1 for control), decrease in paw withdrawal latency (7.10 ± 0.06 s for 200 mg/kg group vs. 15 ± 0.5 s for control) on day 12 post-injury, as well as restoration of skeletal muscle mass towards normal. Interestingly, F. asafoetida chow 50 mg/kg and 100 mg/kg groups also impacted significant (p < 0.01) improvement in the ameliorative effect. However, the differences among all treatment groups in ameliorating recovery were not significant (p > 0.05). Moreover, comparatively improved (p < 0.0001) total antioxidant capacity along with reduced total oxidant status (p = 0.01) in the Ferula asafoetida chow (200 mg/kg) group, indicate the antioxidative effect of this plant. Furthermore, the treated mice (200 mg/kg) also expressedan improved glycemic level (p = 0.0005).Conclusion: Ferula asafoetida supplementation helps to accelerate both sensory and motor function retrieval following sciatic nerve injury. This  improvement is thought to be correlated with the antioxidant capacity of the plant. However, further investigations are required to identify the therapeutic principles responsible for the observed actions. Keywords: Sciatic nerve injury, Ferula asafoetida, Function recovery, Oxidative stress, Biochemical analysi

Parental depressive symptoms, children’s emotional and behavioural problems, and parents’ expressed emotion - Critical and positive comments

This longitudinal study examined whether mothers' and fathers' depressive symptoms predict, independently and interactively, children's emotional and behavioural problems. It also examined bi-directional associations between parents' expressed emotion constituents (parents' child-directed positive and critical comments) and children's emotional and behavioural problems. At time 1, the sample consisted of 160 families in which 50 mothers and 40 fathers had depression according to the Structured Clinical Interview for DSM-IV. Children's mean age at Time 1 was 3.9 years (SD = 0.8). Families (n = 106) were followed up approximately 16 months later (Time 2). Expressed emotion constituents were assessed using the Preschool Five Minute Speech Sample. In total, 144 mothers and 158 fathers at Time 1 and 93 mothers and 105 fathers at Time 2 provided speech samples. Fathers' depressive symptoms were concurrently associated with more child emotional problems when mothers had higher levels of depressive symptoms. When controlling for important confounders (children's gender, baseline problems, mothers' depressive symptoms and parents' education and age), fathers' depressive symptoms independently predicted higher levels of emotional and behavioural problems in their children over time. There was limited evidence for a bi-directional relationship between fathers' positive comments and change in children's behavioural problems over time. Unexpectedly, there were no bi-directional associations between parents' critical comments and children's outcomes. We conclude that the study provides evidence to support a whole family approach to prevention and intervention strategies for children's mental health and parental depression

Trackable CEMB-Klean Cotton Transgenic Technology: Affordable Climate Neutral Agri-biotech Industrialization for Developing Countries

Background: Transgenic technology reflects the incorporation of novel useful traits in crop plants like cotton for economic benefits by overcoming the problems including insects’ pests and weeds in special. The present study is the success story of the continuous effort of CEMB team started back in the 1990s.Methods: This study includes characterization of a large number of Bacillus thuringiensis (Bt) strains taken from local soil and subjected to direct transformation of isolated BT genes into local cotton cultivars. Protocols for transformation into cotton plants were optimized and validated by the development of double gene codon optimized (Cry1Ac and Cry2A) transgenic cotton varieties.Results: The resulting GMOs in the form of CEMB-33, CA-12, CEMB-66 have been approved by Punjab Seed Council in 2013 and 2016 respectively. Double Bt and weedicide resistant cotton harboring CEMB-Modified and codon optimized cp4EPSPS (GTGene). These varieties can tolerate glyphosate spray @ 1900ml per acre without the appearance of necrotic spots/shedding and complete removal of all surrounding weeds in the cotton field is a significant advance to boost cotton production without spending much on insecticides and herbicides.Conclusion: In the current report, two unique sets of primers which amplify 1.1 Kb for CEMB-double Bt genes and 660 bp product for CEMB-Modified cp4EPSPS (GTGene) were tested. CEMB cotton variety CKC-01 is specially designed as low cost and easy to use by local farmer’s technology has the potential to revolutionize the cotton growing culture of the country.Keywords: Event detection; Bt Cotton; CEMB transgenic technology; GTGen

National guidelines for the diagnosis and treatment of hilar cholangiocarcinoma

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