Quenching and generation of random states in a kicked Ising model

The kicked Ising model with both a pulsed transverse and a continuous longitudinal field is studied numerically. Starting from a large transverse field and a state that is nearly an eigenstate, the pulsed transverse field is quenched with a simultaneous enhancement of the longitudinal field. The generation of multipartite entanglement is observed along with a phenomenon akin to quantum resonance when the entanglement does not evolve for certain values of the pulse duration. Away from the resonance, the longitudinal field can drive the entanglement to near maximum values that is shown to agree well with those of random states. Further evidence is presented that the time evolved states obtained do have some statistical properties of such random states. For contrast the case when the fields have a steady value is also discussed.Comment: 7 pages, 7 figure

Machine Learning based Forecasting Systems for Worldwide International Tourists Arrival

The international tourist movement has overgrown in recent decades, and travelers are considered a significant source of income to the tourism economy. When tourists visit a place, they spend considerable money on their enjoyment, travel, and hotel accommodations. In this research, tourist data from 2010 to 2020 have been extracted and extended with depth analysis of different dimensions to identify valuable features. This research attempts to use machine learning regression techniques such as Support Vector Regression (SVR) and Random Forest Regression (RFR) to forecast and predict worldwide international tourist arrivals and achieved forecasting accuracy using SVR is 99.4% and using RFR is 84.7%. The study also analyzed the forecasting deadlock condition after covid-19 in the sudden drop of international visitors due to lockdown enforcement by all countries.N/

Understanding Environmental and Social Reasons Towards Abnormal Menstruation Cycle in Indian Women

The human female reproductive system is by far the most complex biological system, abnormal menstruation cycles is directly associated with type 2 diabetes and they have shown to be associated with cardiovascular disorders as well. The underlying reasons for abnormal menstruation cycle in Indian women is just not stress, birth control pills and or disease symptoms but signs of social and environmental factors are clearly evident now in form or traditional societal practices. This paper aims to understand the abnormal behavior of the menstruation cycle in Indian women

Influence of Contagious versus Noncontagious Product Groupings on Consumer Preferences

This article studies the influence of product groupings on consumer preferences. Specifically, it is proposed that when each product in two groups has an equal chance of a gain, consumers prefer to choose from a group that appears more contagious (e.g., products arranged close together, similarly, or symmetrically). However, when each product in two groups has an equal chance of a loss, consumers prefer to choose from a group that appears less contagious (e.g., products arranged apart, dissimilarly, or asymmetrically). Across three experiments, the effect is demonstrated, and contagion theory is used to explicate the underlying process. (c) 2008 by JOURNAL OF CONSUMER RESEARCH, Inc..

How Language Shapes Prejudice Against Women: An Examination Across 45 World Languages

Language provides an ever-present context for our cognitions and has the ability to shape them. Languages across the world can be gendered (language in which the form of noun, verb, or pronoun is presented as female or male) versus genderless. In an ongoing debate, one stream of research suggests that gendered languages are more likely to display gender prejudice than genderless languages. However, another stream of research suggests that language does not have the ability to shape gender prejudice. In this research, we contribute to the debate by using a Natural Language Processing (NLP) method which captures the meaning of a word from the context in which it occurs. Using text data from Wikipedia and the Common Crawl project (which contains text from billions of publicly facing websites) across 45 world languages, covering the majority of the world’s population, we test for gender prejudice in gendered and genderless languages. We find that gender prejudice occurs more in gendered rather than genderless languages. Moreover, we examine whether genderedness of language influences the stereotypic dimensions of warmth and competence utilizing the same NLP method

Thinking Outside the Euclidean Box: Riemannian Geometry and Inter-Temporal Decision-Making

<div><p>Inter-temporal decisions involves assigning values to various payoffs occurring at different temporal distances. Past research has used different approaches to study these decisions made by humans and animals. For instance, considering that people discount future payoffs at a constant rate (e.g., exponential discounting) or at variable rate (e.g., hyperbolic discounting). In this research, we question the widely assumed, but seldom questioned, notion across many of the existing approaches that the decision space, where the decision-maker perceives time and monetary payoffs, is a Euclidean space. By relaxing the rigid assumption of Euclidean space, we propose that the decision space is a more flexible Riemannian space of Constant Negative Curvature. We test our proposal by deriving a discount function, which uses the distance in the Negative Curvature space instead of Euclidean temporal distance. The distance function includes both perceived values of time as well as money, unlike past work which has considered just time. By doing so we are able to explain many of the empirical findings in inter-temporal decision-making literature. We provide converging evidence for our proposal by estimating the curvature of the decision space utilizing manifold learning algorithm and showing that the characteristics (i.e., metric properties) of the decision space resembles those of the Negative Curvature space rather than the Euclidean space. We conclude by presenting new theoretical predictions derived from our proposal and implications for how non-normative behavior is defined.</p></div