A comparative study on strength improvementand CBR properties of NIT hostel area soil by using calcium carbide residue and fly ash.

The main objective of this experimental study is to improve the properties of the soil by adding the waste material which can cause environmental pollution. Calcium Carbide Residue and Fly Ash mixture which are waste product of acetylene gas factories and steel plant respectively has been selected to add in the soil sample in different ratios. The soil properties with and without adding of waste materials (Calcium Carbide residue and Fly Ash ) have been studied. An attempt has been made to use these waste material for improving the strength and CBR values of soil which will also prove environment friendly. Thus , from this experimental study will help in reduction of pollution and improvement of soil strength

CEO overconfidence and dividend policy

We develop a model of the effect of CEO overconfidence on dividend policy and empirically examine many of its predictions. Consistent with our main prediction, we find that the level of dividend payout is lower in firms managed by overconfident CEOs. We document that this reduction in dividends associated with CEO overconfidence is greater in firms with lower growth opportunities, lower cash flow, and greater information asymmetry. We also show that the magnitude of the positive market reaction to a dividend-increase announcement is lower for firms managed by overconfident CEOs. Our overall results are consistent with the predictions of our model.Chief executive officers ; Dividends

Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks

Emerging 5G systems will need to efficiently support both enhanced mobile broadband traffic (eMBB) and ultra-low-latency communications (URLLC) traffic. In these systems, time is divided into slots which are further sub-divided into minislots. From a scheduling perspective, eMBB resource allocations occur at slot boundaries, whereas to reduce latency URLLC traffic is pre-emptively overlapped at the minislot timescale, resulting in selective superposition/puncturing of eMBB allocations. This approach enables minimal URLLC latency at a potential rate loss to eMBB traffic. We study joint eMBB and URLLC schedulers for such systems, with the dual objectives of maximizing utility for eMBB traffic while immediately satisfying URLLC demands. For a linear rate loss model (loss to eMBB is linear in the amount of URLLC superposition/puncturing), we derive an optimal joint scheduler. Somewhat counter-intuitively, our results show that our dual objectives can be met by an iterative gradient scheduler for eMBB traffic that anticipates the expected loss from URLLC traffic, along with an URLLC demand scheduler that is oblivious to eMBB channel states, utility functions and allocation decisions of the eMBB scheduler. Next we consider a more general class of (convex/threshold) loss models and study optimal online joint eMBB/URLLC schedulers within the broad class of channel state dependent but minislot-homogeneous policies. A key observation is that unlike the linear rate loss model, for the convex and threshold rate loss models, optimal eMBB and URLLC scheduling decisions do not de-couple and joint optimization is necessary to satisfy the dual objectives. We validate the characteristics and benefits of our schedulers via simulation