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245 results on '"He, YingHua"'

1. Leveraging Uncertainties to Infer Preferences: Robust Analysis of School Choice

Author

Che, Yeon-Koo, Hahm, Dong Woo, and He, YingHua

Subjects
Economics - General Economics
Abstract

Inferring applicant preferences is fundamental in many analyses of school-choice data. Application mistakes make this task challenging. We propose a novel approach to deal with the mistakes in a deferred-acceptance matching environment. The key insight is that the uncertainties faced by applicants, e.g., due to tie-breaking lotteries, render some mistakes costly, allowing us to reliably infer relevant preferences. Our approach extracts all information on preferences robustly to payoff-insignificant mistakes. We apply it to school-choice data from Staten Island, NYC. Counterfactual analysis suggests that we underestimate the effects of proposed desegregation reforms when applicants' mistakes are not accounted for in preference inference and estimation.

Published
2023

2. Stable Matching with Mistaken Agents

Author

Artemov, Georgy, Che, Yeon-Koo, and He, YingHua

Subjects
Economics - Theoretical Economics, Economics - Econometrics
Abstract

Motivated by growing evidence of agents' mistakes in strategically simple environments, we propose a solution concept -- robust equilibrium -- that requires only an asymptotically optimal behavior. We use it to study large random matching markets operated by the applicant-proposing Deferred Acceptance (DA). Although truth-telling is a dominant strategy, almost all applicants may be non-truthful in robust equilibrium; however, the outcome must be arbitrarily close to the stable matching. Our results imply that one can assume truthful agents to study DA outcomes, theoretically or counterfactually. However, to estimate the preferences of mistaken agents, one should assume stable matching but not truth-telling.

Published
2022
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3. Decentralizing Centralized Matching Markets: Implications from Early Offers in University Admissions

Author

Grenet, Julien, He, YingHua, and Kübler, Dorothea

Subjects
Economics - General Economics, Economics - Theoretical Economics
Abstract

The matching literature often recommends market centralization under the assumption that agents know their own preferences and that their preferences are fixed. We find counterevidence to this assumption in a quasi-experiment. In Germany's university admissions, a clearinghouse implements the early stages of the Gale-Shapley algorithm in real time. We show that early offers made in this decentralized phase, although not more desirable, are accepted more often than later ones. These results, together with survey evidence and a theoretical model, are consistent with students' costly learning about universities. We propose a hybrid mechanism to combine the advantages of decentralization and centralization. Published at The Journal of Political Economy under a new title, ``Preference Discovery in University Admissions: The Case for Dynamic Multioffer Mechanisms,'' available at https://doi.org/10.1086/718983 (Open Access).

Published
2021
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4. Identification and Estimation in Many-to-one Two-sided Matching without Transfers

Author

He, YingHua, Sinha, Shruti, and Sun, Xiaoting

Subjects
Economics - Econometrics, Economics - General Economics
Abstract

In a setting of many-to-one two-sided matching with non-transferable utilities, e.g., college admissions, we study conditions under which preferences of both sides are identified with data on one single market. Regardless of whether the market is centralized or decentralized, assuming that the observed matching is stable, we show nonparametric identification of preferences of both sides under certain exclusion restrictions. To take our results to the data, we use Monte Carlo simulations to evaluate different estimators, including the ones that are directly constructed from the identification. We find that a parametric Bayesian approach with a Gibbs sampler works well in realistically sized problems. Finally, we illustrate our methodology in decentralized admissions to public and private schools in Chile and conduct a counterfactual analysis of an affirmative action policy.

Published
2021

14. Multi-objective automatic optimization of crystallography beamline based on NSGA-II

Author

ZHANG Ding, WU Yingfeng, HE Yinghua, LIU Ke, WANG Qisheng, and HE Jianhua

Subjects
macromolecular x-ray crystallography, nsga-ii, multi-objective optimization, pareto set, Nuclear engineering. Atomic power, TK9001-9401
Abstract

BackgroundThe beam quality determined by the beamline status greatly affects the experimental results of macromolecular X-ray crystallography (MX). At present, the optimization of the crystallography beamline of Shanghai Synchrotron Radiation Facility (SSRF) is manually operated by the beamline staffs, which is time-consuming and laborious. X-ray diffractive (XRD) beamline of SSRF realized single-objective automatic optimization of flux based on differential evolution, but this scheme still has certain limitations for MX beamline.PurposeThis study aims to design and implement an automatic optimization procedure based on non-dominated sorting genetic algorithm-II (NSGA-II) on the crystallography beamline system.MethodsFirstly, based on NSGA-II, a multi-objective automatic optimization model of the beamline was established. Then, an automatic optimization procedure was designed and implemented by using Python for the beamline system. Finally, this optimization procedure was tested on BL10U2 of SSRF to optimize the beam flux and position by adjusting the beamline optical components.ResultsThe test results show that the automatic optimization can find the correct optimization objectives Pareto set with two optimized measures of beam flux and beam position within 30 min, and the optimization efficiency is greatly improved when compared with that of manual or previous optimization.ConclusionsNSGA-II based automatic optimization procedure simplifies the optical optimization of beamline and improves the operation efficiency of the crystallography beamlines at SSRF.

Published
2021
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18. Preclinical optimization of a broad-spectrum anti-bladder cancer tri-drug regimen via the Feedback System Control (FSC) platform.

Author

Liu, Qi, Zhang, Cheng, Ding, Xianting, Deng, Hui, Zhang, Daming, Cui, Wei, Xu, Hongwei, Wang, Yingwei, Xu, Wanhai, Lv, Lei, Zhang, Hongyu, He, Yinghua, Wu, Qiong, Szyf, Moshe, Ho, Chih-Ming, and Zhu, Jingde

Subjects
Cell Line, Tumor, Animals, Humans, Mice, Disease Models, Animal, Antineoplastic Agents, Antineoplastic Combined Chemotherapy Protocols, Drug Therapy, Combination, Tumor Burden, Drug Evaluation, Preclinical, Xenograft Model Antitumor Assays, Signal Transduction, Cell Survival, Drug Resistance, Neoplasm, Models, Theoretical, Urinary Bladder Neoplasms, Cancer, Breast Cancer, Biotechnology, Urologic Diseases, 5.1 Pharmaceuticals, Cell Line, Tumor, Disease Models, Animal, Drug Therapy, Combination, Drug Evaluation, Preclinical, Drug Resistance, Neoplasm, Models, Theoretical, Biochemistry and Cell Biology, Other Physical Sciences
Abstract

Therapeutic outcomes of combination chemotherapy have not significantly advanced during the past decades. This has been attributed to the formidable challenges of optimizing drug combinations. Testing a matrix of all possible combinations of doses and agents in a single cell line is unfeasible due to the virtually infinite number of possibilities. We utilized the Feedback System Control (FSC) platform, a phenotype oriented approach to test 100 options among 15,625 possible combinations in four rounds of assaying to identify an optimal tri-drug combination in eight distinct chemoresistant bladder cancer cell lines. This combination killed between 82.86% and 99.52% of BCa cells, but only 47.47% of the immortalized benign bladder epithelial cells. Preclinical in vivo verification revealed its markedly enhanced anti-tumor efficacy as compared to its bi- or mono-drug components in cell line-derived tumor xenografts. The collective response of these pathways to component drugs was both cell type- and drug type specific. However, the entire spectrum of pathways triggered by the tri-drug regimen was similar in all four cancer cell lines, explaining its broad spectrum killing of BCa lines, which did not occur with its component drugs. Our findings here suggest that the FSC platform holds promise for optimization of anti-cancer combination chemotherapy.

Published
2015

20. Identification and Estimation in Many‐to‐One Two‐Sided Matching Without Transfers.

Author

He, YingHua, Sinha, Shruti, and Sun, Xiaoting

Subjects
AFFIRMATIVE action programs in education, UNIVERSITY & college admission, MONTE Carlo method, GIBBS sampling, AFFIRMATIVE action programs, PRIVATE schools
Abstract

In a setting of many‐to‐one two‐sided matching with nontransferable utilities, for example, college admissions, we study conditions under which preferences of both sides are identified with data on one single market. Regardless of whether the market is centralized or decentralized, assuming that the observed matching is stable, we show nonparametric identification of preferences of both sides under certain exclusion restrictions. To take our results to the data, we use Monte Carlo simulations to evaluate different estimators, including the ones that are directly constructed from the identification. We find that a parametric Bayesian approach with a Gibbs sampler works well in realistically sized problems. Finally, we illustrate our methodology in decentralized admissions to public and private schools in Chile and conduct a counterfactual analysis of an affirmative action policy. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Baseline urine pH is related to effective urine alkalization by short-term alkaline water supplementation: data from a self-controlled study in healthy Chinese volunteers following a systematic review and meta-analysis of literature

Author

Zhang, Guanghan, Deng, Tuo, Deng, Ruiqi, Sun, Xinyuan, He, Yinghua, and Liu, Zezhen

Subjects
Reproductive Medicine, Urology, Original Article
Abstract

BACKGROUND: The outcomes of urine alkalization with alkaline water supplementation vary greatly across studies and therefore remain inconclusive, probably arising from differences in study design, ethnic group, and source of alkaline water, which needs further clarification. With a systematic review of literature, followed by an empirical observation among healthy Chinese volunteers, we aimed to investigate the outcomes of urine alkalization with alkaline water vs. daily drinking water, and whether these outcomes are intersected by certain factors such as gender and body mass index (BMI). METHODS: We conducted a literature search of related studies on alkaline water supplementation and urine pH using the PubMed, Embase, Medline and Cochrane Library databases. The publication bias was assessed with inverted funnel plotting. Chi-square-based Q-test and I(2)-statistic test were used to examine the data heterogeneity. The studies were evaluated for quality using the Cochrane risk of bias tool or Newcastle-Ottawa Scale (NOS). The meta-analysis was followed by a study in healthy volunteers. As per protocol, all subjects remained on regular drinking water for one week and were switched to alkaline water for the next week. Urine pH was measured thrice daily and averaged. The mean urine pH values in the first and second weeks were compared for all subjects. Alkalization gains in urine pH (AGU-pH) was computed to determine the outcome of alkaline water supplementation in relation to baseline urine pH. RESULTS: Our systematic review of literature yielded limited data about the effect of alkaline water on urine pH. Despite an increase in urine pH after supplementation of alkaline water as indicated by the random-effect model, a high heterogeneity across the included studies (I(2)=94%, P

Published
2022
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29. Supplementary Table 4 from DNA Methylation-Mediated Repression of miR-886-3p Predicts Poor Outcome of Human Small Cell Lung Cancer

Author

Cao, Jianzhong, primary, Song, Yongmei, primary, Bi, Nan, primary, Shen, Jie, primary, Liu, Wenyang, primary, Fan, Jing, primary, Sun, Guogui, primary, Tong, Tong, primary, He, Jie, primary, Shi, Yuankai, primary, Zhang, Xun, primary, Lu, Ning, primary, He, Yinghua, primary, Zhang, Hongyu, primary, Ma, Kelong, primary, Luo, Xiaoying, primary, Lv, Lei, primary, Deng, Hui, primary, Cheng, Jing, primary, Zhu, Jingde, primary, Wang, Luhua, primary, and Zhan, Qimin, primary

Published
2023
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30. Data from DNA Methylation-Mediated Repression of miR-886-3p Predicts Poor Outcome of Human Small Cell Lung Cancer

Author

Cao, Jianzhong, primary, Song, Yongmei, primary, Bi, Nan, primary, Shen, Jie, primary, Liu, Wenyang, primary, Fan, Jing, primary, Sun, Guogui, primary, Tong, Tong, primary, He, Jie, primary, Shi, Yuankai, primary, Zhang, Xun, primary, Lu, Ning, primary, He, Yinghua, primary, Zhang, Hongyu, primary, Ma, Kelong, primary, Luo, Xiaoying, primary, Lv, Lei, primary, Deng, Hui, primary, Cheng, Jing, primary, Zhu, Jingde, primary, Wang, Luhua, primary, and Zhan, Qimin, primary

Published
2023
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31. Supplementary Figure 4 from DNA Methylation-Mediated Repression of miR-886-3p Predicts Poor Outcome of Human Small Cell Lung Cancer

Author

Cao, Jianzhong, primary, Song, Yongmei, primary, Bi, Nan, primary, Shen, Jie, primary, Liu, Wenyang, primary, Fan, Jing, primary, Sun, Guogui, primary, Tong, Tong, primary, He, Jie, primary, Shi, Yuankai, primary, Zhang, Xun, primary, Lu, Ning, primary, He, Yinghua, primary, Zhang, Hongyu, primary, Ma, Kelong, primary, Luo, Xiaoying, primary, Lv, Lei, primary, Deng, Hui, primary, Cheng, Jing, primary, Zhu, Jingde, primary, Wang, Luhua, primary, and Zhan, Qimin, primary

Published
2023
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32. Supplementary Table 1 from DNA Methylation-Mediated Repression of miR-886-3p Predicts Poor Outcome of Human Small Cell Lung Cancer

Author

Cao, Jianzhong, primary, Song, Yongmei, primary, Bi, Nan, primary, Shen, Jie, primary, Liu, Wenyang, primary, Fan, Jing, primary, Sun, Guogui, primary, Tong, Tong, primary, He, Jie, primary, Shi, Yuankai, primary, Zhang, Xun, primary, Lu, Ning, primary, He, Yinghua, primary, Zhang, Hongyu, primary, Ma, Kelong, primary, Luo, Xiaoying, primary, Lv, Lei, primary, Deng, Hui, primary, Cheng, Jing, primary, Zhu, Jingde, primary, Wang, Luhua, primary, and Zhan, Qimin, primary

Published
2023
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33. Supplementary Figure Legend from DNA Methylation-Mediated Repression of miR-886-3p Predicts Poor Outcome of Human Small Cell Lung Cancer

Author

Cao, Jianzhong, primary, Song, Yongmei, primary, Bi, Nan, primary, Shen, Jie, primary, Liu, Wenyang, primary, Fan, Jing, primary, Sun, Guogui, primary, Tong, Tong, primary, He, Jie, primary, Shi, Yuankai, primary, Zhang, Xun, primary, Lu, Ning, primary, He, Yinghua, primary, Zhang, Hongyu, primary, Ma, Kelong, primary, Luo, Xiaoying, primary, Lv, Lei, primary, Deng, Hui, primary, Cheng, Jing, primary, Zhu, Jingde, primary, Wang, Luhua, primary, and Zhan, Qimin, primary

Published
2023
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34. Supplementary Table 2 from DNA Methylation-Mediated Repression of miR-886-3p Predicts Poor Outcome of Human Small Cell Lung Cancer

Author

Cao, Jianzhong, primary, Song, Yongmei, primary, Bi, Nan, primary, Shen, Jie, primary, Liu, Wenyang, primary, Fan, Jing, primary, Sun, Guogui, primary, Tong, Tong, primary, He, Jie, primary, Shi, Yuankai, primary, Zhang, Xun, primary, Lu, Ning, primary, He, Yinghua, primary, Zhang, Hongyu, primary, Ma, Kelong, primary, Luo, Xiaoying, primary, Lv, Lei, primary, Deng, Hui, primary, Cheng, Jing, primary, Zhu, Jingde, primary, Wang, Luhua, primary, and Zhan, Qimin, primary

Published
2023
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35. Supplementary Table 3 from DNA Methylation-Mediated Repression of miR-886-3p Predicts Poor Outcome of Human Small Cell Lung Cancer

Author

Cao, Jianzhong, primary, Song, Yongmei, primary, Bi, Nan, primary, Shen, Jie, primary, Liu, Wenyang, primary, Fan, Jing, primary, Sun, Guogui, primary, Tong, Tong, primary, He, Jie, primary, Shi, Yuankai, primary, Zhang, Xun, primary, Lu, Ning, primary, He, Yinghua, primary, Zhang, Hongyu, primary, Ma, Kelong, primary, Luo, Xiaoying, primary, Lv, Lei, primary, Deng, Hui, primary, Cheng, Jing, primary, Zhu, Jingde, primary, Wang, Luhua, primary, and Zhan, Qimin, primary

Published
2023
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36. Supplementary Figure 5 from DNA Methylation-Mediated Repression of miR-886-3p Predicts Poor Outcome of Human Small Cell Lung Cancer

Author

Cao, Jianzhong, primary, Song, Yongmei, primary, Bi, Nan, primary, Shen, Jie, primary, Liu, Wenyang, primary, Fan, Jing, primary, Sun, Guogui, primary, Tong, Tong, primary, He, Jie, primary, Shi, Yuankai, primary, Zhang, Xun, primary, Lu, Ning, primary, He, Yinghua, primary, Zhang, Hongyu, primary, Ma, Kelong, primary, Luo, Xiaoying, primary, Lv, Lei, primary, Deng, Hui, primary, Cheng, Jing, primary, Zhu, Jingde, primary, Wang, Luhua, primary, and Zhan, Qimin, primary

Published
2023
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37. Supplementary Figure 2 from DNA Methylation-Mediated Repression of miR-886-3p Predicts Poor Outcome of Human Small Cell Lung Cancer

Author

Cao, Jianzhong, primary, Song, Yongmei, primary, Bi, Nan, primary, Shen, Jie, primary, Liu, Wenyang, primary, Fan, Jing, primary, Sun, Guogui, primary, Tong, Tong, primary, He, Jie, primary, Shi, Yuankai, primary, Zhang, Xun, primary, Lu, Ning, primary, He, Yinghua, primary, Zhang, Hongyu, primary, Ma, Kelong, primary, Luo, Xiaoying, primary, Lv, Lei, primary, Deng, Hui, primary, Cheng, Jing, primary, Zhu, Jingde, primary, Wang, Luhua, primary, and Zhan, Qimin, primary

Published
2023
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42. Essays on Public Policies

Author

He, Yinghua

Abstract

Many public school choice programs use centralized mechanisms to match students with schools in absence of market-clearing prices. Among them, the Boston mechanism is one of the most widely used. It is well-known that truth-telling may not be optimal under the Boston mechanism, which raises the concern that the mechanism may create a disadvantage to parents who do not strategize or do not. strategize well. Using a data set from Beijing, the first chapter investigates parents' strategic behaviors under the Boston mechanism and its welfare implications. School choice is modeled as a simultaneous game with parents' preferences being private information. I derive restrictions on parents' behavior under various assumptions on their ability to predict others' behavior, and the model is estimated using simulated maximum likelihood. The results suggest that parents' sophistication is heterogeneous; when parents have a greater incentive to behave strategically, they pay more attention to uncertainty and strategize better. There is no robust evidence that wealthier and/or more educated parents strategize better. If the Boston mechanism is replaced by the Deferred-Acceptance mechanism under which truth-telling is always optimal, the majority of the sophisticated parents who always play a best response are worse off. This kind of reform benefits half of the naive parents who are always truth-telling under the Boston mechanism, while it also hurts about 20% of them. The second paper studies the problem of matching students (agents) with schools (objects) in a more general setting. In the case of one-sided matching where schools have no preferences/priorities over students, Hylland and Zeckhauser (1979) proposes the Competitive Equilibrium from Equal Incomes (CEEI) mechanism which elicits students' cardinal preferences and creates a pseudo-market. The mechanism produces random assignments that are envy-free and ex ante efficient if students are truth-telling. Although it is not strategy-proof in general, I show that the incentive to deviate from truth-telling by any student vanishes when the market becomes large, given that all other students are telling the truth. The mechanism is then generalized to the case of school choice where each school has a weak priority ordering over students. The asymptotic incentive properties still hold, while its envy-freeness and ex ante efficiency are satisfied under the constraints of schools' priorities. The CEEI mechanism is also compared with the Boston mechanism which can be viewed as an approximation of the decentralized CEEI mechanism. Under certain conditions, the two mechanisms produce the same assignment. Moreover, I provide several practical procedures to use the Boston mechanism to achieve/approximate the CEEI random assignment and resolve it into deterministic assignments. Compared with other popular mechanisms, such as the random priority, probabilistic serial, deferred-acceptance, and top-trading-cycles mechanisms, the CEEI mechanism has more desirable features in general. The third chapter investigates if shared housing is a way to reduce homelessness. Most single adults share housing with other adults, and living alone is considerably more expensive than living with someone else. Yet policies that discourage shared housing for formerly homeless people or people at risk of becoming homeless are common, and those that encourage it are rare. This would be understandable if such housing adversely affected its users in some way. This chapter asks whether shared housing produces adverse effects. The provisional answer is no. For the most part, whether a person lives alone or shares housing seems to make no difference to the outcomes we studied although shared housing is associated with reduced psychotic symptomology. The chapter uses data from ACCESS, a 5-year, 18-site demonstration project with over 6,000 formerly homeless individuals as participants. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2011

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