7,820 research outputs found
Electronic absorption spectrum and decay kinetics of the benzyl radical in solution
No full textDuring studies of the transient optical spectra of the intermediates produced in the flash photolysis of various substituted aromatic compounds in aqueous solution (L. J. Mittal, J. P. M., and E. H., unpublished work), in addition to the characteristic spectrum of the benzyl radical with λmax at 318 nm and at â^¼307 nm we observed a strong absorption at wavelengths below 290 nm
Counting Basic-Irreducible Factors Mod p^k in Deterministic Poly-Time and p-Adic Applications
No full textFinding an irreducible factor, of a polynomial f(x) modulo a prime p, is not known to be in deterministic polynomial time. Though there is such a classical algorithm that counts the number of irreducible factors of f mod p. We can ask the same question modulo prime-powers p^k. The irreducible factors of f mod p^k blow up exponentially in number; making it hard to describe them. Can we count those irreducible factors mod p^k that remain irreducible mod p? These are called basic-irreducible. A simple example is in f=x^2+px mod p^2; it has p many basic-irreducible factors. Also note that, x^2+p mod p^2 is irreducible but not basic-irreducible!
We give an algorithm to count the number of basic-irreducible factors of f mod p^k in deterministic poly(deg(f),k log p)-time. This solves the open questions posed in (Cheng et al, ANTS'18 & Kopp et al, Math.Comp.'19). In particular, we are counting roots mod p^k; which gives the first deterministic poly-time algorithm to compute Igusa zeta function of f. Also, our algorithm efficiently partitions the set of all basic-irreducible factors (possibly exponential) into merely deg(f)-many disjoint sets, using a compact tree data structure and split ideals
Can Horticulture be a Success Story For India?
No full textIndia is the second largest producer of fruits and vegetables in the world after China. Since the 1980s, the international trade in fruits and vegetables has expanded rapidly. The number of commodities as well as the number of varieties produced and traded have increased manifold during the past 25 years. There is an overall increase in the demand for fruits and vegetables for consumption both in the fresh and the processed form. Also there is a wide diversification in production pattern globally. Income in this sector is increasing which is indeed driving the supply. In spite of being one of the largest producers of fruits and vegetables in the world, the export competitiveness among the Indian producers remains low. But with new marketing initiatives, the post-harvest losses and the wastage due to poor infrastructure facilities, such as storage and transportation, have been reduced to a considerable extent. Yet a lot needs to be done in this sector. In an effort to overcome some of the problems associated with this sector, the case study of the successful SAFAL Market is presented in the paper. The study has observed a shift in cropping pattern in favour of horticulture in India in the past one-and-a-half decades. Analysis of the economic feasibility of this shift away from cereals to fruits and vegetable shows that its economically viable and beneficial to shift towards horticulture production, but this diversification needs to be planned in a systematic manner. Certain strategies and policies are also suggested in this regards. The study confirms the changing consumption patterns and diversification, along with the outlook for the next 15-20 years in the light of shortage of supply to increased domestic demand. The major exports from India are mango, grapes, orange, apple, banana, mosambi, onion, potato, tomato and pumpkins. The major share of Indias exports of fresh fruits and vegetables go to Bangladesh, Nepal, UAE, UK and Malaysia. The supply constraints, yield gaps and huge logistic costs affect our competitive and comparative advantage in world trade market. In this study the nominal protection coefficient and revealed comparative advantage are computed to check on the existing status. Study also identifies the potential states for the fruits and vegetables, for which India is globally competitive and has comparative advantage in production. These states should be targeted for enhancing the export potential of the country. The potential competing countries are also identified. Lessons from other developing countries focus on the growth of the horticulture sector through increased participation of small and marginal farmers in an organized manner and farmers being trained with entrepreneurial skills.Horticulture, Cost Benefit Ratio, competitiveness, Comparative Advantage, SAFAL Market
Responsible ML Datasets
No full textIn this study, we discuss the importance of Responsible Machine Learning Datasets through the lens of fairness, privacy, and regulatory compliance and present a large audit of Computer Vision datasets. The audit is conducted through evaluation of the proposed responsible rubric. After surveying over 100 datasets, our detailed analysis of 60 distinct datasets highlights a universal susceptibility to fairness, privacy, and regulatory compliance issues.
Please cite the paper below.
Mittal, Surbhi, Kartik Thakral, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton Ferrer, Tal Hassner. "On Responsible Machine Learning Datasets Emphasizing Fairness Privacy and Regulatory Norms with Examples in Biometrics and Healthcare." Nature Machine Intelligence (2024).
@article{mittal2024responsible,
title={On Responsible Machine Learning Datasets Emphasizing Fairness Privacy and Regulatory Norms with Examples in Biometrics and Healthcare},
author={Mittal, Surbhi, and Thakral, Kartik and Singh, Richa and Vatsa, Mayank and Glaser, Tamar and Ferrer, Cristian Canton and Hassner, Tal},
journal={Nature Machine Intelligence},
year={2024},
publisher={Nature Publishing Group UK London}
Responsible ML Datasets
No full textIn this study, we discuss the importance of Responsible Machine Learning Datasets through the lens of fairness, privacy, and regulatory compliance and present a large audit of Computer Vision datasets. The audit is conducted through evaluation of the proposed responsible rubric. After surveying over 100 datasets, our detailed analysis of 60 distinct datasets highlights a universal susceptibility to fairness, privacy, and regulatory compliance issues.
Please cite the paper below.
Mittal, Surbhi, Kartik Thakral, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton Ferrer, Tal Hassner. "On Responsible Machine Learning Datasets Emphasizing Fairness Privacy and Regulatory Norms with Examples in Biometrics and Healthcare." Nature Machine Intelligence (2024).
@article{mittal2024responsible,
title={On Responsible Machine Learning Datasets Emphasizing Fairness Privacy and Regulatory Norms with Examples in Biometrics and Healthcare},
author={Mittal, Surbhi, and Thakral, Kartik and Singh, Richa and Vatsa, Mayank and Glaser, Tamar and Ferrer, Cristian Canton and Hassner, Tal},
journal={Nature Machine Intelligence},
year={2024},
publisher={Nature Publishing Group UK London}
Managing sustainability in luxury industry to pursue circular economy strategies
No full textSustainable luxury research has received growing attention in the most recent years as it requires firms and supply chains to design circular business models and strategies to tackle environmental, financial, and social issues. However, previous research still falls short to deepen how luxury firms design and manage sustainable supply chain practices according to the circular principles. This paper adopts bibliometric and network analysis to evaluate a sample of 747 papers published over the last 35 years. The descriptive statistics and science mapping approaches utilizing cocitation analysis were performed with VOSviewer software to contribute to the ongoing development of sustainability in luxury research with the aim to develop a systemic framework for circular supply chain and offer a comprehensive overview on the topic. The main findings of this paper will help academicians and practitioners to improve the body of knowledge on the topic and provide an overview of promising future research avenues
Effect of Electrolytes and Hydrocarbons on the Cloud Point Transition of C12E8 Solutions
No full text
Agricultural Productivity Trends in India: Sustainability Issues
No full textThe sustainability issue of the crop productivity is fast emerging. The post-Green Revolution phase is characterized by high input-use and decelerating total factor productivity growth (TFPG). The agricultural productivity attained during the 1980s has not been sustained during the 1990s and has posed a challenge for the researchers to shift the production function upward by improving the technology index. It calls for an examination of issues related to the trends in the agricultural productivity, particularly with reference to individual crops grown in the major states of India. Temporal and spatial variations of TFPG for major crops of India have also been examined.Agricultural and Food Policy,
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