919 research outputs found
Egg parameters of the Red Wattled Lapwing (Vanellus indicus) in agricultural ecosystem of Punjab
The Red Wattled Lapwing is an important bird of the agro-ecosystem of the Punjab state, feeding on insects, seeds and nectar. The present study was carried out to gather information on the egg parameters (morphometry and its components), which is lacking for this species. The eggs were observed in the nest construct-ed in the agricultural fields of Punjab Agricultural University (PAU), Ludhiana, Punjab. Egg length, width and weight were measured using vernier caliper and portable weighing balance, respectively, in laboratory. The egg parameters like egg volume, specific gravity and shape index were also calculated. Weight of egg components (yolk, albumen and shell) were also measured using weighing balance. Results revealed that average values of egg breadth, length and shape index were: 30.05±0.331 (mm), 41.29±0.573 (mm) and 72.83±0.930, respectively. Whereas whole egg weight, albumen weight, yolk weight, shell weight, albumen percentage, yolk percentage, shell percentage, egg volume and specific gravity were 17.49±0.634(gm),7.17±0.374 (gm), 9.05±0.233 (gm), 1.26±0.070 (gm), 40.84±0.941 (%), 51.92±0.830 (%), 7.22±0.280 (%), 17.07±0.531(cm3) and 1.02±0.009 (gm/cm3), respectively. This study pro-vides important information that can help the avian taxonomists in species classification, as bird’s egg diverges widely in shape, volume, weight and percentage of albumen, yolk and shell. Therefore, we can use the egg parameters as additional information in bird systematic
Analysis of the skilled work force effect on the logistics performance index—case study from India
Solid-state diffusion reaction and formation of intermetallic compounds in the nickel-zirconium system
Chemical diffusion studies in the nickel-zirconium system are investigated in the temperature range of 1046 to 1213 K employing diffusion couples of pure nickel and pure zirconium. Electron microprobe and X-ray diffraction studies have been employed to investigate the formation of different compounds and to study their layer growth kinetics in the diffusion zone. It is observed that growth of each phase is controlled by the process of volume diffusion as the layer growth obeys the parabolic law. The activation energies for interdiffusion in NiZr and NiZr2, which are the dominant phases in the diffusion zone, are 119.0 ±13.4 and 103.0 ±25.0 kJ/ mole, respectively. The formation and stability of compounds over the temperature range have been discussed on the basis of existing thermodynamic and kinetic data
Transition Metal Chemistry of Oxime Containing Ligands: Part III-Complexes of Fe(II), Co(II) & Ni(II) with Pyridine-2-aldoxime & 6-Methylpyridine-2-aldoxime
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PIN10 Analysis of Risk Factors of Death In H1N1 Influenza Patients In a Tertiary Care Hospital
Fixing the BMS Frame of Numerical Relativity Waveforms
Understanding the Bondi-Metzner-Sachs (BMS) frame of the gravitational waves produced by numerical relativity is crucial for ensuring that analyses on such waveforms are performed properly. It is also important that models are built from waveforms in the same BMS frame. Up until now, however, the BMS frame of numerical waveforms has not been thoroughly examined, largely because the necessary tools have not existed. In this paper, we show how to analyze and map to a suitable BMS frame for numerical waveforms calculated with the Spectral Einstein Code (SpEC). However, the methods and tools that we present are general and can be applied to any numerical waveforms. We present an extensive study of 13 binary black hole systems that broadly span parameter space. From these simulations, we extract the strain and also the Weyl scalars using both SpECTRE's Cauchy-characteristic extraction module and also the standard extrapolation procedure with a displacement memory correction applied during post-processing. First, we show that the current center-of-mass correction used to map these waveforms to the center-of-mass frame is not as effective as previously thought. Consequently, we also develop an improved correction that utilizes asymptotic Poincar\'e charges instead of a Newtonian center-of-mass trajectory. Next, we map our waveforms to the post-Newtonian (PN) BMS frame using a PN strain waveform. This helps us find the unique BMS transformation that minimizes the norm of the difference between the numerical and PN strain waveforms during the early inspiral phase. We find that once the waveforms are mapped to the PN BMS frame, they can be hybridized with a PN strain waveform much more effectively than if one used any of the previous alignment schemes, which only utilize the Poincar\'e transformations
Adding Gravitational Memory to Waveform Catalogs using BMS Balance Laws
Accurate models of gravitational waves from merging binary black holes are crucial for detectors to measure events and extract new science. One important feature that is currently missing from the Simulating eXtreme Spacetimes (SXS) Collaboration's catalog of waveforms for merging black holes, and other waveform catalogs, is the gravitational memory effect: a persistent, physical change to spacetime that is induced by the passage of transient radiation. We find, however, that by exploiting the Bondi-Metzner-Sachs (BMS) balance laws, which come from the extended BMS transformations, we can correct the strain waveforms in the SXS catalog to include the missing displacement memory. Our results show that these corrected waveforms satisfy the BMS balance laws to a much higher degree of accuracy. Furthermore, we find that these corrected strain waveforms coincide especially well with the waveforms obtained from Cauchy-characteristic extraction (CCE) that already exhibit memory effects. These corrected strain waveforms also evade the transient junk effects that are currently present in CCE waveforms. Lastly, we make our code for computing these contributions to the BMS balance laws and memory publicly available as a part of the python package , thus enabling anyone to evaluate the expected memory effects and violation of the BMS balance laws
MGNREGA, power politics, and computerization in Andhra Pradesh
The link between e-governance and accountability of state administrations for service provision has been problematized in the literature to date. However, little is known about its application to anti-poverty programmes, of which public workfare schemes are an increasingly important subset. In this paper we fill the gap with a study of MGNREGA, India’s largest workfare scheme, as it is being computerized in the southern state of Andhra Pradesh. A state-level information system was devised to ensure transparency of transactions, and hence combat the illicit diversion of the programme’s funds to non-entitled recipients. But while doing so, the system carries a policy of centralization, which concentrates decision-making power in the hands of a limited set of actors rather than distributing it across the programme’s stakeholders. In particular the Field Assistants, appointed officials responsible for the village-level management of the scheme, have direct control on the information inputted in the system, which reinforces their position of authority rather than challenging it in favor of greater empowerment of wageseekers. Furthermore, wage payments are traced by the information system till they reach the disbursement agencies, but are prone to capture in the “last mile” where workers collect their salaries, which results in greater vulnerability for them. As a result, MGNREGA workers are constructed by the new information system as sheer beneficiaries rather than active participants in the programme, which concurs to crystallizing power structures rather than resulting in wageseekers’ empowerment. Lessons are drawn for other states currently computerizing their social safety nets
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