-The proper handling and disposal of Bio-medical waste (BMW) is very imperative. There are well defined set of rules for handling BMW worldwide. Unfortunately, laxity and lack of adequate training and awareness, in execution of these rules leads to staid health and environment apprehension. In this research paper, awareness about bio-medical waste (BMW) management rules among health care personnel of some important health care facilities in Agra is evaluated. In the present study, health care facilities are categorized into four strata i.e. apex Government hospitals, Government and non Government first level referral units (FRU), private health care facilities and corporate health care facilities. Random sampling technique is adopted at all the four different strata mentioned above to have a representative sample. After random sampling technique, total fourteen health care facilities from all strata are taken up. Periodical visits were made to analyze awareness about bio-medical waste management among health care personnel of all the fourteen health care facilities. To make it all embracing and systematic, a written appraisal tool in the form of different questionnaires was prepared for various categories of working personnel in the hospital/nursing home. To increase the sample size best efforts were made to collect data from maximum number of working personnel and their views and sincere suggestions regarding waste management were noted down. The results obtained pointed towards lack of knowledge and awareness towards legislations on bio-medical waste management even among qualified hospital personnel. As a consequence there is inappropriate practice of BMW handling and management, thus exposing themselves and general public to health and environment hazards.

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In this work we address the problem of short-term load forecasting. We propose a generalization of the linear statespace model where the evolution of the state and the observation matrices is unknown. The proposed blind Kalman filter algorithm proceeds via alternating the estimation of these unknown matrices and the inference of the state, within the framework of expectation-maximization. A mini-batch processing strategy is introduced to allow on-the-fly forecasting. The experimental results show that the proposed method outperforms the state-ofthe-art techniques by a considerable margin, both on load profile estimation and peak load forecast problems.

An analysis of electronic polarizabilities, interionic potentials, and equilibrium geometries for 20 alkali–halide dimers such as Na2Cl2 is presented. The electronic polarizabilities of ions in dimers have been calculated by taking account of the electrostatic potential due to neighboring ions within the Seitz–Ruffa energy level analysis. The polarizabilities thus obtained for dimers are then used to evaluate the magnitudes of polarization energies and van der Waals dipole–dipole energies. For describing the overlap repulsive potential we have adopted two forms: (i) the revised version of the Born–Mayer potential and (ii) the Harrison form for the overlap repulsive energy. These potentials have been used to obtain the binding energies of monomers as well as dimers, spectroscopic constants of monomers, equilibrium geometries of dimers, and dimerization energies. The results have been discussed and compared with available experimental data.

Chickpea establishes symbiotic association with Mesorhizobium to fulfill its nitrogen (N) requirement. Integrating chickpea rhizosphere with potential native mesorhizobia and other plant growth promoting microorganisms can contribute multiple benefits to plants. The present investigation was undertaken to study interactions among Piriformospora indica (PI) with potential plant growth promoting rhizobacteria (PGPR) viz. Pseudomonas argentinensis (LPGPR1), Pseudomonas sp. (LPGPR2) along with national check Pseudomons sp. (LK884) and Mesorhizobium cicer (LGR33, MR) to examine the synergistic effect of consortium for improving growth, symbiotic efficiency, nutrient acquisition and yield in two chickpea (Cicer arietinum L.) varieties viz. desi PBG1 and kabuli BG1053. In-vitro, seed germination with consortium MR+PI+LPGPR1 was the best compatible treatment followed by MR + PI + LK884 and MR + PI + LPGPR2. Significant improvement in the growth, symbiotic parameters and grain yield was observed with MR +PI+ LPGPR1 and MR+PI+LK884 treatments. Significantly high chlorophyll and leghaemoglobin content was recorded with MR+PI+LPGPR1 (1.57 and 1.64 mg g ). Data revealed significant increase in total nitrogen (N) and phosphorus (P) content of shoot with MR+PI+LPGPR1 by 1.2 and 1.5 fold, respectively over MR alone treatment. On the basis of overall mean, MR+PI+ LPGPR1 significantly improved the yield by 8.2 % over Mesorhizobium alone application. It seems from foregoing study that tripartite combination of different microorganisms can be explored as biofertilizer for improvement in chickpea productivity.