Institution profile

Chukyo University

Academic institutionasia · jp
Official website
Research library5linked papers
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Selected work

Representative Papers

Plug-in Optimization Method for Penalty Parameters in Nonparametric GMANOVA model

Sep 30, 2026

This study addresses the challenges of overfitting induced by basis function expansion and penalty parameter selection in nonparametric GMANOVA models. To this end, a plug-in optimization approach is introduced into the generalized ridge regression estimation framework. By extending this specific plug-in method to the nonparametric GMANOVA setting for the first time, the proposed approach enables efficient computation of penalty parameters and simplifies the algorithm, significantly reducing iterative computational costs. Numerical experiments demonstrate that the method effectively mitigates overfitting and enhances estimation stability. Overall, this work provides a novel avenue for nonparametric multivariate analysis that combines theoretical rigor with computational efficiency.

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Price Responses of Rwandan Tungsten Exports under Conflict Minerals Regulation

Aug 09, 2026

This study investigates how the price elasticity of Rwanda’s tungsten exports has dynamically evolved in response to institutional and market conditions following the implementation of Section 1502 of the U.S. Dodd-Frank Act. Leveraging UN Comtrade mirror data, global price indices, and exchange rates from 2009 to 2023, the analysis employs an importer fixed-effects model combined with the methodology of Nakano and Nishimura (2025) to address missing export quantity data, estimating elasticity across four distinct regulatory phases. The findings reveal, for the first time, a pronounced time-varying pattern in price elasticity under conflict mineral regulations—shifting sequentially from negative to insignificant, back to negative, and then again to insignificant—highlighting the nonlinear and complex nature of regulatory impacts on export behavior.

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A multimodal dataset of photoplethysmography and continuous behavioral responses to ASMR and nature videos

May 30, 2026

Existing ASMR research is hindered by the absence of standardized, open-access multimodal datasets. To address this gap, this work introduces the REST-ASMR dataset, which synchronously records high-resolution photoplethysmography (PPG) signals, audiovisual stimuli, and continuous subjective annotations from 34 participants while they viewed ASMR and natural control videos. This dataset constitutes the first publicly available, temporally aligned, high-density multimodal resource for ASMR research and reveals a distinctive cardiovascular deceleration effect specific to ASMR, along with consistent cross-participant responses. Using a BiLSTM model within a leakage-free double cross-validation framework, the system achieves 100% video-level classification accuracy, 75.51% frame-level global average accuracy, and a macro F1-score of 71.86%, while maintaining 100% specificity against natural video baselines.

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The Impact of Dodd-Frank and the Huawei Shock on DRC Tin Exports

Dec 25, 2025

This paper examines the structural impact of Section 1502 of the Dodd-Frank Act on the Democratic Republic of Congo’s tin export market. Methodologically, it employs a structural identification strategy, dynamic price elasticity estimation, and causal inference under missing unit-value data. Results show that mandatory due diligence and certification requirements severely impaired price responsiveness, driving demand elasticity toward zero and generating a certification-dependent “captive market” with persistent lagged rigidity. This study provides the first empirical identification of monopolistic market sclerosis induced by conflict-minerals regulation. Crucially, it demonstrates that regulatory relaxation alone fails to restore market flexibility; instead, an exogenous demand shock—triggered by Huawei’s 2019 supply-chain restructuring—unexpectedly disrupted the policy lock-in, enabling market rebalancing. These findings challenge the prevailing assumption that deregulation automatically restores market efficiency and introduce “exogenous shock–induced market unlocking” as a novel institutional mechanism.

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Recent publications

Latest Papers

Plug-in Optimization Method for Penalty Parameters in Nonparametric GMANOVA model

Sep 30, 2026

This study addresses the challenges of overfitting induced by basis function expansion and penalty parameter selection in nonparametric GMANOVA models. To this end, a plug-in optimization approach is introduced into the generalized ridge regression estimation framework. By extending this specific plug-in method to the nonparametric GMANOVA setting for the first time, the proposed approach enables efficient computation of penalty parameters and simplifies the algorithm, significantly reducing iterative computational costs. Numerical experiments demonstrate that the method effectively mitigates overfitting and enhances estimation stability. Overall, this work provides a novel avenue for nonparametric multivariate analysis that combines theoretical rigor with computational efficiency.

0 citationsRead paper

Price Responses of Rwandan Tungsten Exports under Conflict Minerals Regulation

Aug 09, 2026

This study investigates how the price elasticity of Rwanda’s tungsten exports has dynamically evolved in response to institutional and market conditions following the implementation of Section 1502 of the U.S. Dodd-Frank Act. Leveraging UN Comtrade mirror data, global price indices, and exchange rates from 2009 to 2023, the analysis employs an importer fixed-effects model combined with the methodology of Nakano and Nishimura (2025) to address missing export quantity data, estimating elasticity across four distinct regulatory phases. The findings reveal, for the first time, a pronounced time-varying pattern in price elasticity under conflict mineral regulations—shifting sequentially from negative to insignificant, back to negative, and then again to insignificant—highlighting the nonlinear and complex nature of regulatory impacts on export behavior.

0 citationsRead paper

A multimodal dataset of photoplethysmography and continuous behavioral responses to ASMR and nature videos

May 30, 2026

Existing ASMR research is hindered by the absence of standardized, open-access multimodal datasets. To address this gap, this work introduces the REST-ASMR dataset, which synchronously records high-resolution photoplethysmography (PPG) signals, audiovisual stimuli, and continuous subjective annotations from 34 participants while they viewed ASMR and natural control videos. This dataset constitutes the first publicly available, temporally aligned, high-density multimodal resource for ASMR research and reveals a distinctive cardiovascular deceleration effect specific to ASMR, along with consistent cross-participant responses. Using a BiLSTM model within a leakage-free double cross-validation framework, the system achieves 100% video-level classification accuracy, 75.51% frame-level global average accuracy, and a macro F1-score of 71.86%, while maintaining 100% specificity against natural video baselines.

0 citationsRead paper

The Impact of Dodd-Frank and the Huawei Shock on DRC Tin Exports

Dec 25, 2025

This paper examines the structural impact of Section 1502 of the Dodd-Frank Act on the Democratic Republic of Congo’s tin export market. Methodologically, it employs a structural identification strategy, dynamic price elasticity estimation, and causal inference under missing unit-value data. Results show that mandatory due diligence and certification requirements severely impaired price responsiveness, driving demand elasticity toward zero and generating a certification-dependent “captive market” with persistent lagged rigidity. This study provides the first empirical identification of monopolistic market sclerosis induced by conflict-minerals regulation. Crucially, it demonstrates that regulatory relaxation alone fails to restore market flexibility; instead, an exogenous demand shock—triggered by Huawei’s 2019 supply-chain restructuring—unexpectedly disrupted the policy lock-in, enabling market rebalancing. These findings challenge the prevailing assumption that deregulation automatically restores market efficiency and introduce “exogenous shock–induced market unlocking” as a novel institutional mechanism.

0 citationsRead paper