64 research outputs found
Synthesis and structural characterization of m-terphenyl Schiff base ligands and their aluminum complexes
No full text2,4,6-Triphenylbenzaldehyde 1 undergoes a condensation reaction with 2-aminophenol to give N-(2′,4′,6′-triphenylbenzylidene)-2-iminophenol (TPIP) 2. The imine 2 can be reduced with NaBH4 in ethanol to form N-(2′,4′,6′-triphenylbenzyl)-2-aminophenol (TPAP) 3. Addition of trimethylaluminum to 2 or 3 results in the formation of the complexes TPIP-AlMe2·AlMe3 (4) or TPAP-AlMe2 (5). Compounds 2, 3, and 4 have been crystallographically characterized. [ABSTRACT FROM AUTHOR]Peer reviewedFinal article publishedSchiff basesN,O ligandsaluminumm-terphenylX-ray crystallograph
Scheduling Strategies for Event-Triggered Control Using Timed Game Automata Over CAN Networks
No full textModern times have seen an increasing use of networked control systems, in which plants and controllers may not necessarily have a direct link but instead be connected through a network, thereby closing control loops over multiple nodes.The system may also be spread out spatially over a large area, and thus the associated network delays could greatly hamper control performance, potentially affecting the closed-loop stability of the system. In such scenarios, event-triggered control approaches could greatly reduce network congestionby allowing a means for the controllers to send control loop computation packets over the network only when required, in an event-driven manner, rather than through periodic transmissions. However, in practice, the number of parallel channels is limited compared to the number of controllers and hence the transmission of packets needs to be scheduled carefully to avoid network conflicts. This thesis explores using a network of timed (game) automata composed of models representing a networked control system’s control loops and its communication network. This reduces the scheduling problem of transmission of control loop computations to one of creating strategies using known algorithms, with the objective being to avoid network conflicts brought about by simultaneous transmissions. Furthermore, the proposed automata models also aim to reduce the conservatism of generated scheduling strategies by allowing the control loops a bounded number of retransmission attempts to send packets over the network in case it is already occupied. The concept is finally demonstrated in practice using simulated plants and controllers distributed over multiple machines connected via a physical CAN network.Electrical Engineering | Embedded System
Slow pace of antileishmanial drug development
No full textAbstractThe protozoan parasiteLeishmaniais endemic in large parts of the world which causes leishmaniasis. Its visceral form is fatal if not treated and is caused mostly byLeishmania donovani,Leishmania infantumandLeishmania chagasi. Given the difficulties linked to vector (sandfly) control and the lack of an effective vaccine, the control of leishmaniasis relies mostly on chemotherapy. Unfortunately, the prevalence of parasites becoming resistant to the first-line drug pentavalent antimony (SbV) is increasing worldwide. Few alternative drugs are available that includes amphotericin B, pentamidine and miltefosine (oral). Already, decreases in efficacy, resistance and toxicity have been noted against these drugs. Dry antileishmanial pipeline further indicates the slow pace of drug discovery in this field where resistance as a major barrier. Full understanding of the genetic and molecular basis of the parasite is lagging. Since leishmaniasis is a neglected disease and occurs predominantly in the developing world largely, therefore, it is unaddressed. The pharma industry argues that development of the new drug is too costly and risky to invest in low return neglected diseases is very high. Research is also needed to identify new and effective drug targets. The lack of drug research and development for neglected diseases will require some new strategies. We have discussed the various cause of slow pace of antileishmanial drug discovery in this review to pay attention of researchers and also take the public and private initiative to make the process fast for new antileishmanial drug development.</jats:p
Genetically modified live attenuated vaccine: A potential strategy to combat visceral leishmaniasis
No full textDNA-based microarray studies in visceral leishmaniasis: identification of biomarkers for diagnostic, prognostic and drug target for treatment
No full textImpact of Hazardous Waste Material on Environment and Their Management Strategies
No full textHazardous waste has emerged as an issue of major concern that has negative impact both on human health as well as on the environment. Hazardous and infectious agents are handled in daily routine in biomedical laboratories. Their effects are increasing continuously in the environment. Hazardous waste includes solid, liquid, sharp and pathological waste. Workers in hospitals and health care, agricultural and fishing occupations are at particular risk of exposure to hazardous biological agents. Recently, more systematic and strict steps have taken by the Indian government regarding the public concern to prevent the proliferation of hazardous waste and its improper disposal. However, management of waste are still not well promoted. So, to intercept the build-up of biohazards into the environment, waste from biohazardous operations must be disposed or treated appropriately in a special way and it also intends to create awareness amongst the personnel involved in these sectors to develop and implement hazardous waste management and mitigation strategies. </jats:p
Correlation Review of Classification Algorithm Using Data Mining Tool: WEKA, Rapidminer, Tanagra, Orange and Knime
No full textAbstractThis paper conducts a correlation review of classification algorithm using some free available data mining and knowledge discovery tools such as WEKA, Rapid miner, Tanagra, Orange and Knime. The accuracy of classification algorithm like Decision tree, Decision Stump, K-Nearest Neighbor and Naïve Bayes algorithm have been compared using all five tools. Indian Liver Patient DataSet is used for testing the Classification algorithm in order to classify the people with and without Liver disorder
Mesh migration into stomach following diaphragmatic hernia repair: a rare complication
No full textMesh erosion and migration are considered the gravest of complications of mesh repairs. To the best of our knowledge, mesh erosion and migration into the stomach following a mesh repair of adult diaphragmatic hernia has yet to be reported in the literature. A case of mesh eroding into the stomach, after a prosthetic repair of an adult diaphragmatic hernia, is presented here because of its rarity
Migracja siatki do światła żołądka po zabiegu plastyki przepukliny przeponowej: rzadkie powikłanie
No full textErozję i migrację siatki uważa się za najpoważniejsze powikłanie po operacji plastyki przepukliny. Według naszej wiedzy, do tej pory w literaturze nie opisywano przypadku penetracji i migracji siatki do światła żołądka po zabiegu plastyki przepukliny przeponowej. W niniejszej pracy przedstawiliśmy przypadek penetracji sieci i jej migracji do żołądka po zabiegu plastyki przepukliny przeponowej u osoby dorosłej ze względu na rzadkość tego powikłania
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