Leveraging social networking for talent management:an exploratory study of Indian firms

Utilizing the social capital and social network theories, this research explores and highlights how social networking has been strategically utilized as an effective tool by organizations for employer branding and innovative talent acquisition strategies in India. Qualitative data from 78 semistructured interviews with human resources (HR) professionals of information technology (IT), information technology-enabled services (ITeS), and talent acquisition organizations confirm the growing utilization of social networking sites (SNSs) as part of the organizational HR strategy for employer branding and talent sourcing, acquisition and retention, and reinforcing stronger relationship with their employees. The study contributes to the fields of talent management and social networks and has several key implications for practitioners regarding the usefulness of SNSs to organizational branding, talent management, and retention

Near real-time determination of earthquake source parameters for tsunami early warning from geodetic observations

Exemplifying the tsunami source immediately after an earthquake is the most critical component of tsunami early warning, as not every earthquake generates a tsunami. After a major under sea earthquake, it is very important to determine whether or not it has actually triggered the deadly wave. The near real-time observations from near field networks such as strong motion and Global Positioning System (GPS) allows rapid determination of fault geometry. Here we present a complete processing chain of Indian Tsunami Early Warning System (ITEWS), starting from acquisition of geodetic raw data, processing, inversion and simulating the situation as it would be at warning center during any major earthquake. We determine the earthquake moment magnitude and generate the centroid moment tensor solution using a novel approach which are the key elements for tsunami early warning. Though the well established seismic monitoring network, numerical modeling and dissemination system are currently capable to provide tsunami warnings to most of the countries in and around the Indian Ocean, the study highlights the critical role of geodetic observations in determination of tsunami source for high-quality forecasting

Privacy Preserving and Information Security Forensics Brokering

Abstract Information brokering systems (IBSs) connect many organizations via a brokering overlay network, in which the data brokers has responsibility for routing decision for each client queries on behalf of client involvement, based upon the queries details provided by client the routing takes place to the requested data servers, this service ensures less burden on clients in routing and searching process. Information Brokers are also an important target to the attacker and Information Brokers individual takes all responsible in brokering process of IBSs, also many existing IBSs assume that information brokers are trusted thus only adopt server-side access control for data confidentiality. Also privacy of data location and data consumer are important and can still be inferred from metadata exchanged within the IBS. Here a novel approach to preserve privacy of multiple stakeholders involved called Privacy Preserving Information Brokering having two countermeasure schemes namely "automaton segmentation" and "query segment encryption".

Successful monitoring of the 11 April 2012 tsunami off the coast of Sumatra by Indian Tsunami Early Warning Centre

The Indian Tsunami Early Warning Centre (ITEWC) in Hyderabad monitored the 11 April 2012 tsunami off the coast of Sumatra, which was generated by a shallow strike-slip earthquake and it largest aftershock of magnitude Mw (mB) 8.5 and 8.2 respectively, that occurred inside the subducting slab of the Indian plate. The earthquake generated a small ocean-wide tsunami that has been recorded by various tide gauges and tsunami buoys located in the Indian Ocean region. ITEWC detected the earthquake within 3 min 52 s and issued six advisories (bulletins) according to its Standard Operating Procedure. The ITEWC performed well during the event, and avoided false alarms and unnecessary public evacuations, especially in the mainland part of India region

Performance of the tsunami forecast system for the Indian Ocean

The Indian Tsunami Early Warning System (ITEWS) at the Indian National Centre for Ocean Information Services, Hyderabad, is responsible for issuing tsunami bulletins in India. The tsunami centre oper- ates on a 24×7 basis and monitors seismological sta- tions, bottom pressure recorders and tidal stations throughout the Indian Ocean to evaluate potentially tsunamigenic earthquakes and disseminating tsunami bulletins. The end-to-end capabilities of this warning system have been well proven during all the tsunami- genic earthquakes that occurred since September 2007. Comparison of the earthquake parameters estimated by ITEWS with other international seismological agencies suggests that the system is performing well and has achieved the target set up by the Inter- governmental Oceanographic Commission

Differential cross section measurements for the production of a W boson in association with jets in proton–proton collisions at √s = 7 TeV

Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb[superscript −1]. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph + pythia and sherpa, and to next-to-leading-order calculations from BlackHat + sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.United States. Dept. of EnergyNational Science Foundation (U.S.)Alfred P. Sloan Foundatio