Do the Environmental Approval Conditions Enable the Best Practice EIA Follow-up and Hence Strengthen the EIA System? An Indian Case Study Analysis

The environmental approval for a project is generally granted with a set of terms and conditions to the project proponent. The environmental clearance (EC) letters for 33 infrastructure projects were examined for the relevance, adequacy, and enforceability of the EC conditions. Using the basic tenets of the EIA process, it is found that the long list of irrelevant, inadequate, and unenforceable conditions is greenwash and unsuited for best practice EIA follow-up, hence meeting the EIA objectives. The conditions should be directed at measuring the environmental performance of the project to catalyze achieving sustainability targets. The conditions for stringent supervision and frequent inspection of the site activities in the construction phase could help ensure the implementation of the proposed mitigation measures for infrastructure projects. A comprehensive environmental impact assessment framework may use the principles of the ABC analysis to prioritize the properly specified EC conditions, resource allocation, and stakeholder engagement for the best practice EIA follow-up and hence strengthen the EIA system

A new astrophysical solution to the Too Big To Fail problem - Insights from the MoRIA simulations

We test whether advanced galaxy models and analysis techniques of simulations can alleviate the Too Big To Fail problem (TBTF) for late-type galaxies, which states that isolated dwarf galaxy kinematics imply that dwarfs live in lower-mass halos than is expected in a {\Lambda}CDM universe. Furthermore, we want to explain this apparent tension between theory and observations. To do this, we use the MoRIA suite of dwarf galaxy simulations to investigate whether observational effects are involved in TBTF for late-type field dwarf galaxies. To this end, we create synthetic radio data cubes of the simulated MoRIA galaxies and analyse their HI kinematics as if they were real, observed galaxies. We find that for low-mass galaxies, the circular velocity profile inferred from the HI kinematics often underestimates the true circular velocity profile, as derived directly from the enclosed mass. Fitting the HI kinematics of MoRIA dwarfs with a theoretical halo profile results in a systematic underestimate of the mass of their host halos. We attribute this effect to the fact that the interstellar medium of a low-mass late-type dwarf is continuously stirred by supernova explosions into a vertically puffed-up, turbulent state to the extent that the rotation velocity of the gas is simply no longer a good tracer of the underlying gravitational force field. If this holds true for real dwarf galaxies as well, it implies that they inhabit more massive dark matter halos than would be inferred from their kinematics, solving TBTF for late-type field dwarf galaxies.Comment: 21 pages, 21 figures. Accepted for publication in A&A. Corrected certain values in Table

Solid Fuel rich Propellant Development for use in a Ramjet to Propel an Artillery Shell

This study describes the development of a fuel-rich propellant to be used in a solid fuel ramjet to provide active propulsion to a 155 mm artillery shell. Fuel-rich propellants consisting of aluminum, ammonium perchlorate and hydroxyl terminated polybutadiene were developed and their ballistic properties were measured to choose the appropriate fuel for the ramjet application. The attempts made were to enhance the burn rates of the propellant to provide required burn rates at lowest possible pressures in primary combustor of the ramjet. The propellant selection was done with reference of working time period of the base bleed unit, to calculate the required burn rate and corresponding pressure in primary combustor. It was observed that the fuel rich propellant of composition 35% ammonium perchlorate with 1 % Iron oxide embedded on it, 30 % mechanically activated aluminum with 10% polytetrafluoroethylene, and 25 % HTPB was found suitable for the above application. This provided the higher burn rates among all developed propellants with high pressure index of 0.58. This makes it suitable for the ramjet requiring higher burn rates at lower possible primary chamber pressures. The Young’s modulus and tensile strength of this propellant was measured to be 1.73 MPa and 0.24 MPa, respectively

Initiation of Blended Learning through Kannada Wikipedia, Issues and Challenges - A Case Study

Globalization has brought about a lot of technological changes in the field of Higher Education Digital Learning is one among them In many Academic Institutions the medium of Instruction is English so it continued to be the Language for the Technology enabled Teaching and Learning as well When Knowledge Creation and Dissemination happen only through English the Vernacular languages get marginalized A not exposed to English section of society also gets marginalized Each civilization has its own knowledge traditions Due to Colonialism and other reasons there is a break in this knowledge tradition and it becomes sectarian Even though most of the held researches prove the existence of a local system of Knowledge Production Preservation and Dissemination in the vernacular languages these already marginalized sections have not built their knowledge tradition on a par with the one of English The Knowledge Acquisition through English and vernacular languages go hand in hand but there is still a gap It is the responsibility of the Academics to narrow this gap and to bring in the marginalized sections of the society to be the realm of knowledge Wikipedia a revolutionary and democratic source of knowledge has embarked upon creating and strengthening the Vernacular Knowledge Tradition by involving the higher educational institutions Wikipedia has taken up the responsibility of making available a pile of social and cultural data to the younger generation and the public at large through the vernacular languages in a digital for

A microcomputer based traffic evacuation modeling system for emergency planning application

Vehicular evacuation is one of the major and often preferred protective action options available for emergency management in a real or anticipated disaster. Computer simulation models of evacuation traffic flow are used to estimate the time required for the affected populations to evacuate to safer areas, to evaluate effectiveness of vehicular evacuations as a protective action option. and to develop comprehensive evacuation plans when required. Following a review of the past efforts to simulate traffic flow during emergency evacuations, an overview of the key features in Version 2.0 of the Oak Ridge Evacuation Modeling System (OREMS) are presented in this paper. OREMS is a microcomputer-based model developed to simulate traffic flow during regional emergency evacuations. OREMS integrates a state-of-the-art dynamic traffic flow and simulation model with advanced data editing and output display programs operating under a MS-Windows environment

Sclerotinia rot of rapeseed mustard: A comprehensive review

Indian mustard [Brassica juncea (L.) Czern & Coss.] is one of the major oilseed crops cultivated in India and around the world. It is extensively grown traditionally as a pure crop as well as intercrop (mixed crop) in marginal and sub-marginal soils in the eastern, northern and north western states of India. Cool and moist climate of winter months is the major factor for luxuriant growth and productivity of mustard in these states. Despite considerable increase in productivity and production, a wide gap exists between yield potential and yield realized at farmer’s field, which is largely due to biotic and abiotic stresses. The destructive diseases of rapeseed-mustard include those caused by fungi, bacteria, viruses and phytoplasma. Among them, Sclerotinia stem rot is the most serious fungal disease that causes maximum damage in Indian mustard. This paper reviews the research and development of Sclerotinia rot in rapeseed-mustard during the past years in relation to pathogen taxonomy, biology, epidemiology, disease cycle and management. The paper also attempts to present future outlook and strategy for Sclerotinia rot of rapeseed mustard research

Structure–property relationships of ‘safe’ aromatic oil based passenger car tire tread rubber compounds

In this study, the effect of Treated Distillate Aromatic Extract (TDAE) was investigated in medium styrene/high vinyl solution styrene butadiene rubber (S-SBR) and high cis-polybutadiene rubber (BR). Three properties were evaluated: (i) molecular structure (polarity/aromaticity), (ii) molecular weight and (iii) chemical reactivity of the TDAE oil. The fore-mentioned properties of the oil allow the prediction of its behavior in a rubber compound. It was known from literature that the addition of oil causes a shift in the glass transition temperature (Tg) of the compound [2]. Therefore, the study was focused on the variation in the α-relaxation process or Tg of a rubber compound upon addition of TDAE. The conventional techniques for determination of Tg such as Differential Scanning Calorimetry (DSC) and Dynamic Mechanical Analysis (DMA) as well as more sophisticated relaxation studies using Broadband Dielectric Spectroscopy (BDS) were used to characterize the TDAE-extended S-SBR and BR compounds. Theoretical prediction of the Tg of TDAE-extended compounds was obtained based on the Fox equation for miscible mixtures. Ultimately, the theoretical predictions were correlated with experimental findings

Computational identification of strain-, species- and genus-specific proteins

BACKGROUND: The identification of unique proteins at different taxonomic levels has both scientific and practical value. Strain-, species- and genus-specific proteins can provide insight into the criteria that define an organism and its relationship with close relatives. Such proteins can also serve as taxon-specific diagnostic targets. DESCRIPTION: A pipeline using a combination of computational and manual analyses of BLAST results was developed to identify strain-, species-, and genus-specific proteins and to catalog the closest sequenced relative for each protein in a proteome. Proteins encoded by a given strain are preliminarily considered to be unique if BLAST, using a comprehensive protein database, fails to retrieve (with an e-value better than 0.001) any protein not encoded by the query strain, species or genus (for strain-, species- and genus-specific proteins respectively), or if BLAST, using the best hit as the query (reverse BLAST), does not retrieve the initial query protein. Results are manually inspected for homology if the initial query is retrieved in the reverse BLAST but is not the best hit. Sequences unlikely to retrieve homologs using the default BLOSUM62 matrix (usually short sequences) are re-tested using the PAM30 matrix, thereby increasing the number of retrieved homologs and increasing the stringency of the search for unique proteins. The above protocol was used to examine several food- and water-borne pathogens. We find that the reverse BLAST step filters out about 22% of proteins with homologs that would otherwise be considered unique at the genus and species levels. Analysis of the annotations of unique proteins reveals that many are remnants of prophage proteins, or may be involved in virulence. The data generated from this study can be accessed and further evaluated from the CUPID (Core and Unique Protein Identification) system web site (updated semi-annually) at . CONCLUSION: CUPID provides a set of proteins specific to a genus, species or a strain, and identifies the most closely related organism

Effect of Aromatic Oil on Phase Dynamics of S-SBR/BR Blends fro Passenger Car Tire Treads

Even though S-SBR/BR blends are commonly used for passenger car tire treads, little is known about the phase dynamics arising from the local morphological heterogeneities. The present study aims at developing the understanding of: (i) the influence of aromatic oil on the dynamics of the individual phases in S-SBR/BR (50/50) blend, and (ii) the partition of the aromatic oil in either phase.\ud S-SBR/BR (50/50) blends with varying concentrations of aromatic oil (0/10/20 phr) were studied. Conventional techniques for the determination of Tg (glass transition temperature or α-relaxation process), such as Differential Scanning Calorimetry (DSC) and Dynamic Mechanical Analysis (DMA) were of limited use for fulfilling the goal of the present study. Therefore, Broadband Dielectric Spectroscopy (BDS), a more sensitive technique to study the α-relaxation process was employed. It was possible to de-convolute the dielectric loss (ε") peak of the vulcanized blends into two super-positioned relaxation processes, α' and α (in increasing order of frequency), which were attributed to the S-SBR and BR phases, respectively. The distinct effective Tg’s (Tgeff) of the S-SBR and BR phases varied with the amount of aromatic oil added. Tgeff of the BR phase was close to the Tg of virgin BR, whereas Tgeff of the S-SBR phase was close to the blend average Tg. This is in accordance with the model for phase dynamics of miscible blends by Lodge and McLeish (2000). With this a deeper insight into the dynamic heterogeneity of traditional S-SBR/BR (50/50) blends is obtained

Integration of Blockchain and Lean Six Sigma approach for operational excellence: A proposed model

Purpose This study aims to explore the potential application of blockchain technology in Lean Six Sigma (LSS) project through a proposed blockchain-LSS (BLSS) model. The proposed model can tackle real-time problems in information sharing, transparency and traceability in every stage of the LSS project. Design/methodology/approach The scoping review approach is used to develop the integrated model of the BLSS approach for operational excellence. The proposed model is validated through expert’s input, which is collected by a questionnaire survey method. Findings The prime function of the proposed BLSS model is the information sharing among the project team and real-time monitoring, transparency, traceability and immutability in the Define-Measure-Analyze-Improve-Control phase. The proposed model also consists the information about the role of blockchain features at each phase of the LSS project. The project team and industry employees can trace the success of the project at every moment, resulting in trust buildup and the elimination of fake data. Moreover, there would be no disputes among various sections/shops of the plant and employees to share the real information. Practical implications This paper provides guidelines to practitioners and managers for integrating the LSS approach and blockchain. The blockchain helps managers and practitioners in better data traceability and transparency, monitoring of data as well as more sustainable LSS project management. Originality/value To the best of the authors’ knowledge, this is the first research attempt that developed an integrated model of blockchain and LSS approach to maintaining the immutable records of assets in projects and targeted Industry 4.0