We have performed a systematic semi-empirical and ab initio van der Waals study to investigate the bonding mechanism of benzene (C6H6), triazine (C3N3H3) and borazine (B3N3H6) adsorbed on graphene and a single boron nitride (BN) sheet. The two semi-empirical approaches used to include the van der Waals (vdW) interactions in our density functional theory (DFT) calculations suggest that the strength of the molecule–surface interaction corresponds to a strong physisorption with no net charge transfer between the molecules and the corresponding substrates. This observation is strengthened by the use of first-principles non-local correlation vdW-DF functionals which provide a sound physical basis to include vdW interactions in DFT calculations. In particular we have employed two flavors of vdW-DF functionals which enabled us to determine the role of the non-local correlation effects in the molecule–surface bonding mechanism which cannot be assessed by using only semi-empirical vdW methods. Our study also reveals that the strength of the molecule–surface interaction can be influenced by the electronegativity of the B, C and N atoms.

This paper explores the link of the ethnic hatred and violence during football games in Bosnia and Herzegovina. Bosnia and Herzegovina went though destructive war (1992-1995) which involved armed conflict between three ethnic groups’ i. e. Bosniaks, dominantly Muslims, Serbs, dominantly Orthodox and Croats, dominantly Catholics. The war left behind around 100.000 casualties, and large number of displaced person. Behind the human casualties and destruction of property and infrastructure, hatred between ethnic groups can be considered as one destructive of the consequences of the war. Sports events in such a social environment are the trigger, the reason of the ethnically motivated violence. Policing football violence in ethnically complex environment is a great challenge for police force in Bosnia and Herzegovina.

Introduction: The haemostatic system can be significantly altered by haematological malignancies and their treatment. Abnormal haemostatic values can be detected in about 50% of advanced disease and these underlie the characteristic thrombotic and haemorrhagic diasthesis seen in these patients. Haemostatic indices in Philadelphia Positive and Negative Chronic Granulocytic Leukaemia Patients were investigated to determine their clinical relevance and possible association. Patients and Methods: Fifteen newly diagnosed Philadelphia positive (ph+ve) and 11 Philadelphia negative (ph-ve) CGL patients were studied longitudinally along with 20 healthy controls. Baseline blood samples were collected and analysed before commencing first cycle chemotherapy and after each successive cycle up to sixth cycle .Samples were analysed for haemoglobin concentration (Hb), leucocytes count (WBC), platelet count (PLT), prothrombin time (PT), activated partial thromboplastin time (APTT), plasma fibrinogen (PFC), and euglobulin lysis time (ELT) using standard techniques. Results were analysed statistically using Student’s t-test. Probability values <0.05 were significant. Results: Ph-ve CGL patients had significantly higher baseline levels of PFC and ELT compared to Ph+ve patients (P < 0.05). Ph+ve CGL patients with complete remission had a significantly lower baseline level of PFC compared to those without remission (P < 0.05). There were no significant changes in PFC and ELT in both groups after the 4th cycle of chemotherapy (P > 0.05). Conclusion: Philadelphia negativity may be a potential risk factor for increased thrombotic tendencies in CGL patients. PFC may be a useful predictive marker of haemostatic activation in these patients.

Addressing dynamics and notifications in the Semantic Web realm has recently become an important area of research. Run time data is continuously generated by multiple social networks, sensor networks, various on-line services and so forth. How to get advantage of this continuously arriving data events remains a challenge --that is, how to integrate heterogeneous event streams, combine them with background knowledge e.g., an ontology, and perform event processing and stream reasoning. In this paper we describe ETALIS --a system which enables specification and monitoring of changes in near real time. Changes can be specified as complex event patterns, and ETALIS can detect them in real time. Moreover the system can perform reasoning over streaming events with respect to background knowledge. ETALIS implements two languages for specification of event patterns: ETALIS Language for Events, and Event Processing SPARQL. ETALIS has various applicabilities in capturing changes in semantic networks, broadcasting notifications to interested parties, and creating further changes based on processing of the temporal, static, or slowly evolving knowledge.