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In this article, we propose a reconceptualization of the principles and parameters (P&P) framework. We argue that in lieu of discrete parameter values, a parameter value exists on a gradient plane that encodes a learner's confidence that a particular parametric structure licenses the utterances in the learner's linguistic input. Crucially, this gradient parameter hypothesis obviates the need for default parameter values. Default parameter values can be put to use effectively from the perspective of linguistic learnability but are lacking in terms of empirical and theoretical consistency. We present findings from a computational implementation of a gradient P&P learner. The findings suggest that the gradient parameter hypothesis provides the basis for a viable alternative to existing computational models of language acquisition in the classic P&P paradigm. We close with a brief discussion of how a gradient parameter space offers a path to address shortcomings that have been attributed to the P&P framework.

Oilseeds are one of the most important determinants of India's agricultural economy, next only to cereals and pulses. The selfsufficiently in oilseed obtained during the early 1990s could not be sustained sufficiently. Despite, being the fourth largest oilseed crop-producing nation in the world, India is also one of the largest importers of vegetable oils. This study appraises t he relationship between price and non-price factors to understand the behaviour of major oilseeds (mustard/rapeseed and groundnut) cultivated in India from 1997-98 to 2019-2020. Supply response is the responsiveness of supply, which can be identified using production response to different determining factors. Mustard/rapeseed and groundnut are the oilseeds that are mainly produced in India. This study specifically attempted to quantify the relationship between oilseed production and different factors, such as annual rainfall, annual temperature, yield, and revenue difference for both crops. The findings suggested that yield and revenue difference of mustard with wheat are the most determining factors for mustard production, whereas annual rainfall, the temperature during the growing season, and revenue difference between groundnut with rice and soyabean are the most significant determinants of groundnut's production response. Crop equivalent productivity further validated that groundnut competed and outperformed the two promising crops (soybean and paddy). The trend analysis (1997-98 to 2019-2020) also indicated that wheat was the dominant crop over mustard from 1997-98 to 2013-14. Afterwards, i.e., from 2014-15 to 2019-20, mustard surpassed wheat productivity (on equivalent terms) and outperformed cereal. [ABSTRACT FROM AUTHOR]

Maize, being a nutritious and multipurpose crop requires proper nutrition (N, P, and K) and standardization of sowing time to enhance productivity and profitability under changing climate scenario. Therefore, a field experiment was conducted during monsoon season of 2021 and 2022 at agricultural farm, Lovely Professional University, Punjab, in split plot design with four fertilizer levels (125, 100, 75, and 50% recommended dose of fertilizers; RDF) in main plots and four sowing dates (15 and 30 of June and July) in subplots, replicated thrice. Maize sown on 30 June and fertilized with 125% RDF ensured higher growth attributes throughout crop growth. Besides, comparatively greater yield attributes as well as grain yield (8.22 t ha−1), stover yield (11.86 t ha−1), and harvest index (40.9%) were observed from that treatment combination, and it also recorded higher quality protein and nutrient uptakes but less residual soil fertility. Maize grown on 30 July under application of 50% RDF was the poorest yielder. Further, production economics and energy analysis showed similar trend and indicated that maize grown on 30 June under application of 125% RDF recorded maximum gross return (₹168275 ha−1), net return (₹109565 ha−1), and benefit-cost ratio (2.87) as well as energy output (269084 MJ ha−1) and net energy gain (250750.3 MJ ha−1). [ABSTRACT FROM AUTHOR]

This paper presents a broadband miniaturized Fabry–Perot cavity resonator antenna (CRA) made of novel electromagnetic bandgap (EBG) superstrate as partially reflecting surface (PRS) and reactive impedance surface (RIS) backed rectangular patch antenna. To the best of the authors' knowledge, the proposed EBG exhibits the highest stopband bandwidth (BW) with a bandgap existing between 7.37 and 12.4 GHz (50.9%). Frequency-selective property of the EBG is utilized under plane wave incidence to demonstrate it as PRS superstrate in CRA antenna. The cavity is excited with a rectangular microstrip antenna which is made of two dielectric substrates with an additional RIS layer sandwiched between them. The RIS provides wideband impedance matching of the primary feed antenna. A 7 × 7 array of the EBG superstrate is loaded over the patch antenna having an overall lateral dimension of only 45 × 45 mm2 or 1.62 λ 0 × 1.62 λ 0 where λ 0 is the free space wavelength at the center frequency of 10.8 GHz. The proposed Fabry–Perot CRA (FP-CRA) achieves gain enhancement of 6.59 dB as compared with the reference antenna and has a 10 dB return loss BW of 23.79% from 10.07 to 12.79 GHz. A prototype of the FP-CRA is fabricated and experimentally tested with single and dual layers of EBG superstrate. Measured results show BWs of 21.5 and 24.8% for the two cases with peak realized gain of 12.05 and 14.3 dBi, respectively. Later a four-element antenna array with corporate feeding is designed as the primary feed of the CRA. The simulation result shows a flat gain of >13 dBi with gain variation <1.2 dB over the impedance BW of 13.2%. [ABSTRACT FROM AUTHOR]