Mingyu Song
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View article: The Frequency of Meal-Replacement Products Drinking and All-Cause, CVD, and Cancer Mortality
The Frequency of Meal-Replacement Products Drinking and All-Cause, CVD, and Cancer Mortality Open
Objectives: Our study aimed to assess the associations between meal-replacement (MR) drinking and risks of all-cause, cardiovascular and cerebrovascular disease (CVD), and cancer mortality. Methods: The study was based on 6770 adults aged …
View article: Mosaic loss of chromosome Y, tobacco smoking and risk of age-related lung diseases: insights from two prospective cohorts
Mosaic loss of chromosome Y, tobacco smoking and risk of age-related lung diseases: insights from two prospective cohorts Open
Background Little is known about the underlying relationship between mosaic loss of chromosome Y (mLOY), the most common chromosomal alterations in older men, and the risk of age-related lung diseases. Methods We included 217 780 participa…
View article: Phenotypic age mediates effects of Life's Essential 8 on reduced mortality risk in US adults
Phenotypic age mediates effects of Life's Essential 8 on reduced mortality risk in US adults Open
Objective This study aimed to find out whether phenotypic age could mediate the protective effects of a healthy lifestyle on mortality. Methods We included adult participants with available data for individual phenotypic age (PhenoAge) and…
View article: Spicy food consumption and risk of vascular disease: Evidence from a large-scale Chinese prospective cohort of 0.5 million people
Spicy food consumption and risk of vascular disease: Evidence from a large-scale Chinese prospective cohort of 0.5 million people Open
Background: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear…
View article: An Exploratory Study on Innovation Process of New Industries: A case of American Hydrogen Energy Industry
An Exploratory Study on Innovation Process of New Industries: A case of American Hydrogen Energy Industry Open
최근 전 세계적으로 기후변화 문제의 심각성이 대두되면서 친환경 에너지 산업의 중요성이 크게 강조되고 있다. 그중 차세대 에너지원으로 각광받고 있는 수소에너지는 다른 에너지 산업에 비해 산업 혁신과정에 대한 연구와 이해가 부족한 실정인 것으로 보인다. 이에 본 연구는 수소에너지 산업의 혁신과정을 탐색적으로 파악하는 것을 목적으로 수소에너지 관련 뉴스와 R&D 데이터 분석을 진행하였다. 수소에너지 분야를 선도하고 있는 미국의 수…
View article: Minimal cross-trial generalization in learning the representation of an odor-guided choice task
Minimal cross-trial generalization in learning the representation of an odor-guided choice task Open
There is no single way to represent a task. Indeed, despite experiencing the same task events and contingencies, different subjects may form distinct task representations. As experimenters, we often assume that subjects represent the task …
View article: Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning
Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning Open
Realistic and complex decision tasks often allow for many possible solutions. How do we find the correct one? Introspection suggests a process of trying out solutions one after the other until success. However, such methodical serial testi…
View article: Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning
Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning Open
Realistic and complex decision tasks often allow for many possible solutions. How do we find the correct one? Introspection suggests a process of trying out solutions one after the other until success. However, such methodical serial testi…
View article: Selective Layer Tuning and Performance Study of Pre-Trained Models Using Genetic Algorithm
Selective Layer Tuning and Performance Study of Pre-Trained Models Using Genetic Algorithm Open
Utilizing pre-trained models involves fully or partially using pre-trained parameters as initialization. In general, configuring a pre-trained model demands practitioners’ knowledge about problems or an exhaustive trial–error experiment ac…
View article: Improvement of Distance Measurement Based on Dispersive Interferometry Using Femtosecond Optical Frequency Comb
Improvement of Distance Measurement Based on Dispersive Interferometry Using Femtosecond Optical Frequency Comb Open
Since the dispersive interferometry (DPI) based on optical frequency combs (OFCs) was proposed, it has been widely used in absolute distance measurements with long-distance and high precision. However, it has a serious problem for the trad…
View article: Explaining the effectiveness of fear extinction through latent-cause inference
Explaining the effectiveness of fear extinction through latent-cause inference Open
Acquiring fear responses to predictors of aversive outcomes is crucial for survival. At the same time, it is important to be able to modify such associations when they are maladaptive, for instance in treating anxiety and trauma-related di…
View article: Explaining the effectiveness of fear extinction through latent-cause inference
Explaining the effectiveness of fear extinction through latent-cause inference Open
Acquiring fear responses to predictors of aversive outcomes is crucial for survival. At the same time, it is important to be able to modify such associations when they are maladaptive, for instance in treating anxiety and trauma-related di…
View article: Minimal cross-trial generalization in learning the representation of an odor-guided choice task
Minimal cross-trial generalization in learning the representation of an odor-guided choice task Open
There is no single way to represent a task. Indeed, despite experiencing the same task events and contingencies, different subjects may form distinct task representations. As experimenters, we often assume that subjects represent the task …
View article: Explaining the effectiveness of fear extinction through latent-cause inference
Explaining the effectiveness of fear extinction through latent-cause inference Open
Acquiring fear responses to predictors of aversive outcomes is crucial for survival. At the same time, it is important to be able to modify such associations when they are maladaptive, for instance in treating anxiety and trauma-related di…
View article: A study on predictive model for forecasting Airforce F-15K spare parts Using Data Mining
A study on predictive model for forecasting Airforce F-15K spare parts Using Data Mining Open
군에서 사용하고 있는 수리부속은 약 72만 종으로, 국방 예산의 약 3%(약 1.3조원)을 차지하고 있으며, 적시적기의 수리부속 보급은 무기체계 전투준비태세에 직접적인 영향을 미치고 있어 수리부속 수요예측은 예산 운영과 장비 가동률 측면에서 매우 중요한 요소가 되고 있다. 그래서 현재 공군에서 적용 중인 시계열 모형의 예측한계를 개선하기 위해 다수의 연구들이 데이터마이닝 중 지도학습을 통한 새로운 외부변수를 추가하여 예측률을…
View article: Optical ranging system based on multiple pulse train interference using soliton microcomb
Optical ranging system based on multiple pulse train interference using soliton microcomb Open
The multiple pulse train interference (MPTI) ranging system takes advantage of the high accuracy and absolute length measurement capability, but traditional scheme has a large measurement dead zone. In this Letter, we propose a MPTI rangin…
View article: Nonlinear calibration of frequency modulated continuous wave LIDAR based on a microresonator soliton comb
Nonlinear calibration of frequency modulated continuous wave LIDAR based on a microresonator soliton comb Open
Traditional frequency modulated continuous wave (FMCW) LIDAR ranging is based on heterodyne detection, calculating unknown distance by extracting the frequency of the interference signal, while the main error source is frequency modulation…
View article: Using Recurrent Neural Networks to Understand Human Reward Learning
Using Recurrent Neural Networks to Understand Human Reward Learning Open
Computational models are greatly useful in cognitive science in revealing the mechanisms of learning and decision making. However, it is hard to know whether all meaningful variance in behavior has been account for by the best-fit model se…
View article: Proactive Information Sampling in Value-Based Decision-Making: Deciding When and Where to Saccade
Proactive Information Sampling in Value-Based Decision-Making: Deciding When and Where to Saccade Open
Evidence accumulation has been the core component in recent development of perceptual and value-based decision-making theories. Most studies have focused on the evaluation of evidence between alternative options. What remains largely unkno…
View article: Sources of suboptimality in a minimalistic explore-exploit task
Sources of suboptimality in a minimalistic explore-exploit task Open
Balancing exploration and exploitation is a fundamental aspect of decision-making. It remains unknown whether people are close to optimal in striking this balance, and if not, how exactly their behavior deviates from optimality. Many exist…
View article: SiO MASERS AROUND WX PSC MAPPED WITH THE KVN AND VERA ARRAY (KaVA)
SiO MASERS AROUND WX PSC MAPPED WITH THE KVN AND VERA ARRAY (KaVA) Open
We present the first images of the v = 1 and v = 2 J = 1 → 0 SiO maser lines taken with KaVA, i.e., the combined array of the Korean Very Long Baseline Interferometry (VLBI) Network and the VLBI Exploration of Radio Astrometry (VERA), towa…
View article: An Improved Generalized Adaptive Coherent Integrator Algorithm
An Improved Generalized Adaptive Coherent Integrator Algorithm Open
GACI (Generalized Adaptive Coherent Integrator) algorithm is quite effective in detecting pulse signals.We aim to improve it further and present in this paper improved GACI algorithm, called by us IGACI algorithm.In IGACI algorithm, moment…