Hiding Underneath - Our Oppression, Identity and Gender

The Project Hiding Underneath - Our Oppression, Identity and Gender ” aims to explore the themes of awakening society to respect gender and identity issues. Through the interviews, compositions, story/ poem, paintings and visual, based on self-therapy, rediscover who I am, and awaken from a part of my life spent hiding and covering my gender identity as a result of gender-related physical and mental abuse. I want to make society aware of mistreatment because of gender identity and inspire people to respect and learn it.https://remix.berklee.edu/graduate-studies-global-jazz/1092/thumbnail.jp

THREE ESSAYS ON FERTILITY BEHAVIOR AND DOMESTIC VIOLENCE

This dissertation contains three distinct papers on fertility behavior and domestic violence. Chapter one examines the effectiveness of the policy on fertility, proportion of male children, and female infant mortality. We utilize data from the fourth round of the National Family Health Survey (2015-2016) and use propensity score matching models to examine whether the policy influences household fertility behavior. First, fertility behavior of women residing in the policy states who married before the mandate are compared to those who married after the mandate implementation. Second, fertility behavior of women residing in the policy states are compared to those living in non-policy states. While the policy is found to lower the number of children in a household, there is no significant change in the proportion of male children in a household or in female infant mortality. However, pre-policy absence of a male child is positively and statistically significantly associated with excess fertility.Chapter two examines inconsistencies between an individual’s expectations regarding an ideal number of children and their current desire for children. The results show that societal influence does affect an individual’s fertility decision-making process and that knowledge of modern contraceptive methods has a significant impact on both spouses’ inconsistency between ideal and current desire for children. Inconsistency is significantly associated with number of children and proportion of male children in family. However, causal pathways between inconsistency and fertility outcomes may not be established using cross-sectional data and when implementing OLS estimation.Chapter three studies the causal effect of acceptance of domestic violence on actual physical and sexual abuse incidence. Both spouses’ attitudes toward the issue are analyzed. Results indicate that both husband and wife’s attitudes toward the issue are positively and significantly associated with domestic violence incidence. However, results from the IV estimation indicates only wife’s attitude have positive causal effect on husband’s abuse behavior in rural area. I also find that there is a high rate of cross generational transmission of attitudes towards domestic violence from results of the first stage regressions of the IV probit model. The results are in general consistent across different income and caste and religion groups

NRPA: Neural Recommendation with Personalized Attention

Existing review-based recommendation methods usually use the same model to learn the representations of all users/items from reviews posted by users towards items. However, different users have different preference and different items have different characteristics. Thus, the same word or similar reviews may have different informativeness for different users and items. In this paper we propose a neural recommendation approach with personalized attention to learn personalized representations of users and items from reviews. We use a review encoder to learn representations of reviews from words, and a user/item encoder to learn representations of users or items from reviews. We propose a personalized attention model, and apply it to both review and user/item encoders to select different important words and reviews for different users/items. Experiments on five datasets validate our approach can effectively improve the performance of neural recommendation.Comment: 4 pages, 4 figure

Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID). In this paper, we provide a comprehensive review of state-of-the-art Hetero-ReID methods that address the challenge of inter-modality discrepancies. According to the application scenario, we classify the methods into four categories -- low-resolution, infrared, sketch, and text. We begin with an introduction of ReID, and make a comparison between Homogeneous ReID (Homo-ReID) and Hetero-ReID tasks. Then, we describe and compare existing datasets for performing evaluations, and survey the models that have been widely employed in Hetero-ReID. We also summarize and compare the representative approaches from two perspectives, i.e., the application scenario and the learning pipeline. We conclude by a discussion of some future research directions. Follow-up updates are avaible at: https://github.com/lightChaserX/Awesome-Hetero-reIDComment: Accepted by IJCAI 2020. Project url: https://github.com/lightChaserX/Awesome-Hetero-reI

Different Regular Black Holes: Geodesic Structures of Test Particles

This paper investigates the metric of previously proposed regular black holes, calculates their effective potentials, and plots the curves of the effective potentials. By determining the conserved quantities, the dynamical equations for particles and photons near the black hole are derived. The analysis encompasses timelike and null geodesics in different spacetimes, including bound geodesics, unstable circular geodesics, stable circular geodesics, and escape geodesics. The findings are presented through figures and tables. Furthermore, the bound geodesics of the four regular black hole spacetimes are analyzed, examining the average distance of particle orbits from the center of the event horizon, the precession behavior of the perihelion, and the probability of particles appearing inside the outer event horizon during motion. Based on these analyses, a general formula is proposed, which yields the existing metrics when specific parameter values are chosen. The impact of parameter variations on the effective potential and geodesics is then computed using this new formula.Comment: 23 pages, 13 figure

Effects of Phi and σ∗\sigma^{*}-meson on properties of hyperon stars including Δ\Delta resonance

In this work, we study the properties of neutron stars using the linear Relativistic Mean-Field (RMF) theory and consider multiple degrees of freedom inside neutron stars, including hyperons and $\Delta$ resonances. We investigate different coupling parameters $x_{\sigma \Delta}$ between $\Delta$ resonances and nucleons and compare the differences between neutron stars with and without strange mesons $\sigma^*$ and $\phi$. These effects include particle number distributions, equations of state (EOS), mass-radius relations, and tidal deformabilities. To overcome the "hyperon puzzle," we employ the $\sigma-cut$ scheme to obtain neutron stars with masses up to $2M_{\odot}$. We find that strange mesons appear at around 3$\rho_0$ and reduce the critical density of baryons in the high-density region. With increasing coupling parameter $x_{\sigma \Delta}$, the $\Delta$ resonances suppress hyperons, leading to a shift of the critical density towards lower values. The early appearance of $\Delta$ resonances may play a crucial role in the stability of neutron stars. Strange mesons soften the EOS slightly, while $\Delta$ resonances predominantly soften the EOS in the low-density region. By calculating tidal deformabilities and comparing with astronomical observation GW170817, we find that the inclusion of $\Delta$ resonances decreases the radius of neutron stars.Comment: 10 pages, 9 figure

Occurrence and Control of Soybean Aphid, Aphis glycines Matsumura

The soybean aphid, Aphis glycines Matsumura, is one of the most important pests of soybean. The A. glycines outbreak in 1998 followed another aphid outbreak after 1989, which caused enormous economic losses. The aphid infested areas exceeded 200 thousand mu, and the soybean yields decreased by 20%. Among aphid infested areas, 78 thousand mu were severely infested with a yield loss of 46%. More than 3,000 mu had no yield at all.Originating text in Chinese.Citation: Wu, Xiaobing, Ni, Wenjun, Liu, Peijing. (1999). Occurrence and Control of Soybean Aphid, Aphis glycines Matsumura. How Peasants Can Increase Wealth, 6, 20