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Tata Power-DDL is in the business of electricity distribution over North and North West Delhi serving approximately 14 Lakhs consumers. New consumers are added each day, as a result the responsibility for handling outages and restoration of power in respective area are increasing day by day, in a scenario like this, for improving reliability, service levels and most importantly, increasing customer satisfaction there is need for technology adoption. One such technology is Outage Management System (OMS), it supports Tata Power-DDL’s network management and restoration process, providing dispatchers with the situational intelligence required to quickly assess critical inputs and variables to determine the best course of action to be taken. It helps optimize outage restoration by efficiently predicting the source and location of outages, based on multiple inputs such as customer call data and SCADA alarms. But in situation of disaster and heavy call rush this immobile technology itself is not enough for the functioning of a Utility, such events need operating technology that will perform when it is needed most. This is when comes the need for a mobile technology that will help the field crew handle the call rush by on the fly determination of the best crew to confirm outage and perform repair work in the field and same to be updated in real-time. This led to introduction of MERA-OMS (Mobile Electricity Restoration Application), which has helped in achieving productivity improvements through the reduction of voice dispatch time, route optimization, elimination of idle times and task optimization.

// Thibault Dupont 1, * , ShaoNing Yang 1, * , Jayeshkumar Patel 1 , Katerina Hatzi 1 , Alka Malik 1 , Wayne Tam 3 , Peter Martin 1 , John Leonard 1 , Ari Melnick 1, 2 , Leandro Cerchietti 1 1 Hematology and Oncology Division, Weill Cornell Medical College, New York, NY, USA 2 Pharmacology Department, Weill Cornell Medical College, New York, NY, USA 3 Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, USA * These authors have contributed equally to this work Correspondence to: Ari Melnick, e-mail: amm2014@med.cornell.edu Leandro Cerchietti, e-mail: Lec2010@med.cornell.edu Keywords: lymphoma, BCL6, BCL2, targeting, resistance Received: July 22, 2015 Accepted: November 21, 2015 Published: December 09, 2015 ABSTRACT The BCL6 oncogene plays a crucial role in sustaining diffuse large B-cell lymphomas (DLBCL) through transcriptional repression of key checkpoint genes. BCL6-targeted therapy kills lymphoma cells by releasing these checkpoints. However BCL6 also directly represses several DLBCL oncogenes such as BCL2 and BCL-XL that promote lymphoma survival. Herein we show that DLBCL cells that survive BCL6-targeted therapy induce a phenomenon of “oncogene-addiction switching” by reactivating BCL2-family dependent anti-apoptotic pathways. Thus, most DLBCL cells require concomitant inhibition of BCL6 and BCL2-family members for effective lymphoma killing. Moreover, in DLBCL cells initially resistant to BH3 mimetic drugs, BCL6 inhibition induces a newly developed reliance on anti-apoptotic BCL2-family members for survival that translates in acquired susceptibility to BH3 mimetic drugs ABT-737 and obatoclax. In germinal center B cell-like (GCB)-DLBCL cells, the proteasome inhibitor bortezomib and the NEDD inhibitor MLN4924 post-transcriptionally activated the BH3-only sensitizer NOXA thus counteracting the oncogenic switch to BCL2 induced by BCL6-targeting. Hence our study indicates that BCL6 inhibition induces an on-target feedback mechanism based on the activation of anti-apoptotic BH3 members. This oncogene-addition switching mechanism was harnessed to develop rational combinatorial therapies for GCB-DLBCL.

Database management systems (DBMS) have been widely used for storing and retrieving data. However, databases are often hard to use since their interface is quite rigid in cooperating with users. End user is required to issue SQL query to retrieve information from the database. Thus, a user cannot interact directly because of lack of knowledge about the SQL query form, thus is restricted to available application options. To provide the direct access of user on dataset, some unstructured query processor is required. The present work is an interface that will convert the unstructured text query to structured SQL query. It is an intelligent interface formation between the user and the dataset and defined in three main stages namely Descriptive Database Construction, Unstructured Query Filtration and Mapping Stage. The system provide the robustness in terms to handle the broader range of user queries and is be implemented in java environment on Enterprise Employee Database. General Terms Natural Language Processing, Natural Language Interface to Database.