Phytotoxic characterization of various fractions of Launaea procumbens

Allelopathic screening of various fractions of Launaea procumbens, collected from Wah Cantt (Punjab) Pakistan, was conceded to identify potent allelopathic fraction for future phytochemical analyses. For this purpose, radish root inhibition method was used to test allelopathic potential. Two different concentrations of 100 ppm and 1000 ppm of Launaea procumbens were used in this study. Methanolic and ethyl acetate fraction potently inhibited root and radical growth; comparative to other fractions, it might be due to the presence of bioactive allelochemicals. Based on this screening, both of these fractions were recommended for future bioassay guided isolation of allelochemicals.Key words: Launaea procumbens, radish seeds, root inhibition, Launaea procumbens methanolic fraction

A realistic path loss model for real-time communication in the urban grid environment for Vehicular Ad hoc Networks

Wireless signal transmission is influenced by environmental effects. These effects have also been challenging for Vehicular Ad hoc Network (VANET) in real-time communication. More specifically, in an urban environment, with high mobility among vehicles, a vehicle’s status from the transmitter can instantly trigger from line of sight to non-line of sight, which may cause loss of real-time communication. In order to overcome this, a deterministic signal propagation model is required, which has less complexity and more feasibility of implementation. Hence, we propose a realistic path loss model which adopts ray tracing technique for VANET in a grid urban environment with less computational complexity. To evaluate the model, it is applied to a vehicular simulation scenario. The results obtained are compared with different path loss models in the same scenario based on path loss value and application layer performance analysis. The proposed path loss model provides higher loss value in dB compared to other models. Nevertheless, the performance of vehicle-vehicle communication, which is evaluated by the packet delivery ratio with different vehicle transmitter density verifies improvement in real-time vehicle-vehicle communication. In conclusion, we present a realistic path loss model that improves vehicle-vehicle wireless real-time communication in the grid urban environment

Speaking “religion” through a gender code: The discursive power and gendered-racial implications of the religious label

Drawing on the scholarship of Critical Religion, this article shows how the modern category “religion” operates through a gender code which upholds its discursive power and enables the production of religious—and therefore racial—hierarchies. Specifically, it argues that mentioning religion automatically makes gender present in discourse. Acknowledging religion as an inherently gendered category in this way gives further insight into the discursive power and functioning of the religious label. With the example of the Westphalian production of the “myth of religious violence” and the employment of “religion” in colonial contexts, I demonstrate how a gender code upholds and enables the discursive power of religion. Religion is both gendered (as part of the Western public/private binary) and gendering (in colonial contexts vis-à-vis non-Christian, non-White religions). Acknowledging the multiple ways in which religion is gendered and gendering, then, has important bearings on the analysis of religion’s racializing function which is upheld and aided by the gender code through which religion is spoken

Identification and characterization of the Bcl-2- associated athanogene (BAG) protein family in rice

The Bcl-2-associated athanogene (BAG) proteins are involved in the regulation of Hsp70/HSC70 in animals. There are six BAG genes in human that encode nine isoforms with different subcellular locations. Arabidopsis thaliana is reported to contain seven BAG proteins. We searched BAG proteins in Oryza sativa using profile-sequence (Pfam) and profile-profile (FFAS) algorithms and found six homologs. The BAG protein family in O. sativa can be grouped into two classes based on the presence of other conserved domains. Class I consists of four OsBAG genes (1 to 4) containing an additional ubiquitin-like domain, structurally similar to the human BAG1 proteins and might be BAG1 orthologs in plants. Class II consists of two OsBAG genes (5 and 6) containing calmodulin-binding domain. Multiple sequence alignment and structural models of O. sativa BAG proteins showed conservation of surface charge (except OsBAG5) and critical residues for the binding of BAG domain to Hsp70 nucleotide binding domain (NB). Meta analysis of microarray data showed that OsBAG genes are up or down regulated under different stresses (biotic and abiotic). Data obtained from real-time PCR of OsBAG genes under heat stress showed that maximum induction in the expression of all the genes occurred after one hour exposure to heat stress, while reduction in the expression was observed in the following time course and ultimately returned to the basal level at 24 h treatment. These results suggest that OsBAG genes might play important role at the onset of heat stress. A further detailed study may explore the exact function of the members of this gene family and help to make understanding of programmed cell death (PCD) mechanism in plants.Key words: Rice, ubiquitin-like domain, nucleotide-binding domain, real-time PCR

A hierarchy of effective teaching and learning to acquire competence in evidenced-based medicine

BACKGROUND: A variety of methods exists for teaching and learning evidence-based medicine (EBM). However, there is much debate about the effectiveness of various EBM teaching and learning activities, resulting in a lack of consensus as to what methods constitute the best educational practice. There is a need for a clear hierarchy of educational activities to effectively impart and acquire competence in EBM skills. This paper develops such a hierarchy based on current empirical and theoretical evidence. DISCUSSION: EBM requires that health care decisions be based on the best available valid and relevant evidence. To achieve this, teachers delivering EBM curricula need to inculcate amongst learners the skills to gain, assess, apply, integrate and communicate new knowledge in clinical decision-making. Empirical and theoretical evidence suggests that there is a hierarchy of teaching and learning activities in terms of their educational effectiveness: Level 1, interactive and clinically integrated activities; Level 2(a), interactive but classroom based activities; Level 2(b), didactic but clinically integrated activities; and Level 3, didactic, classroom or standalone teaching. SUMMARY: All health care professionals need to understand and implement the principles of EBM to improve care of their patients. Interactive and clinically integrated teaching and learning activities provide the basis for the best educational practice in this field

Risk-Averse Matchings over Uncertain Graph Databases

A large number of applications such as querying sensor networks, and analyzing protein-protein interaction (PPI) networks, rely on mining uncertain graph and hypergraph databases. In this work we study the following problem: given an uncertain, weighted (hyper)graph, how can we efficiently find a (hyper)matching with high expected reward, and low risk? This problem naturally arises in the context of several important applications, such as online dating, kidney exchanges, and team formation. We introduce a novel formulation for finding matchings with maximum expected reward and bounded risk under a general model of uncertain weighted (hyper)graphs that we introduce in this work. Our model generalizes probabilistic models used in prior work, and captures both continuous and discrete probability distributions, thus allowing to handle privacy related applications that inject appropriately distributed noise to (hyper)edge weights. Given that our optimization problem is NP-hard, we turn our attention to designing efficient approximation algorithms. For the case of uncertain weighted graphs, we provide a $\frac{1}{3}$-approximation algorithm, and a $\frac{1}{5}$-approximation algorithm with near optimal run time. For the case of uncertain weighted hypergraphs, we provide a $\Omega(\frac{1}{k})$-approximation algorithm, where $k$ is the rank of the hypergraph (i.e., any hyperedge includes at most $k$ nodes), that runs in almost (modulo log factors) linear time. We complement our theoretical results by testing our approximation algorithms on a wide variety of synthetic experiments, where we observe in a controlled setting interesting findings on the trade-off between reward, and risk. We also provide an application of our formulation for providing recommendations of teams that are likely to collaborate, and have high impact.Comment: 25 page

Determinants of Increasing Trend of Self-Medication in a Pakistani Community

Purpose: To determine the major reasons, sources, diseases and drugs responsible for increasing trend of self-medication.Method: A community-based cross-sectional survey was carried out in the district of Faisalabad in Pakistan. Respondents (1488) were classified on the basis of age, sex, education, lifestyle and their economical level. A questionnaire was distributed among the sample population to collect data.Results: Majority of respondents involved in self-medication were aged between 15 and 20 years. Family members (N = 717, 48 %) were considered the major source of information for self-medicated drugs. Lack of time (N = 504, 37 %) while economic issues (N = 485, 33 %) were the major reasons for self-medication. Medical stores were the source of drug purchase by 1087 (73 %) respondents. Headache (N = 772, 52 %) and fever (N = 600, 40 %) were the main indications for self-medication while 694 respondents reported that they engage in single-dose self-medication. Paracetamol (N = 689, 46 %), other analgesics (N = 488, 33 %),  non-steroidal anti-inflammatory (N = 680, 46 %) were reported to be used frequently for self-medication.Conclusion: Self-medication is prevalent in the Pakistani community due to easy access to over the counter (OTC) and prescription-only medicines  (POM). This may lead to untoward effects in consumers of the products. Special interventions by relevant regulatory agencies regarding the sale of the drugs are therefore required.Keywords: Self-medication, OTC drugs, Pharmacist

Categorical Dimensions of Human Odor Descriptor Space Revealed by Non-Negative Matrix Factorization

In contrast to most other sensory modalities, the basic perceptual dimensions of olfaction remain unclear. Here, we use non-negative matrix factorization (NMF) – a dimensionality reduction technique – to uncover structure in a panel of odor profiles, with each odor defined as a point in multi-dimensional descriptor space. The properties of NMF are favorable for the analysis of such lexical and perceptual data, and lead to a high-dimensional account of odor space. We further provide evidence that odor dimensions apply categorically. That is, odor space is not occupied homogenously, but rather in a discrete and intrinsically clustered manner. We discuss the potential implications of these results for the neural coding of odors, as well as for developing classifiers on larger datasets that may be useful for predicting perceptual qualities from chemical structures