Framing as an Information Control Strategy in Times of Crisis

Xia Shouzhi,Huang Huang,Zhang Dong 동아시아연구원 2022 Journal of East Asian Studies Vol.22 No.2

How can authoritarian regimes effectively control information to maintain regime legitimacy in times of crisis? We argue that media framing constitutes a subtle and sophisticated information control strategy in authoritarian regimes and plays a critical role in steering public opinion and cultivating an image of competent government during a tremendous crisis. Using structural topic models (STM), we conduct a textual analysis of more than 4,600 news reports produced by seven Chinese media outlets during the COVID-19 pandemic. We find that Chinese media, instructed by the propaganda authorities, used a heroism frame to feature frontline medics’ sacrifices when saving others in need and resorted to a contrast frame to highlight the poor performance of the United States in the fight against COVID-19. We also show that both state and commercial media outlets used these two frames, though the tone of commercial media coverage was generally more moderate than the state media version.

WASTEWATER TREATMENT CHARACTERISTICS OF MEMBRANE PROCESSES COMBINED WITH VARIOUS BIOREACTORS

( Xia HUANG,Ping GUI,Cheng Wen WANG,Yi QIAN ) 한국물환경학회 1997 제6차 국제수질보전학회 아시아 태평양지역 학술회의 Vol.2 No.-

三昧水천的肉食觀

황하년(Xia Nian Huang) 동국대학교 불교문화연구원 2008 佛敎學報 Vol.0 No.50

Intravenous patient-controlled analgesia hydromorphone combined with pregabalin for the treatment of postherpetic neuralgia: a multicenter, randomized controlled study

( Ying Huang ),( Chenjie Xu ),( Tao Zeng ),( Zhongming Li ),( Yanzhi Xia ),( Gaojian Tao ),( Tong Zhu ),( Lijuan Lu ),( Jing Li ),( Taiyuan Huang ),( Hongbo Huai ),( Benxiang Ning ),( Chao Ma ),( Xinx 대한통증학회 2021 The Korean Journal of Pain Vol.34 No.2

Background: Postherpetic neuralgia (PHN) is the most common complication of acute herpes zoster. The treatment of PHN remains a challenge for clinical pain management. Despite the effectiveness of anticonvulsants, antidepressants, and lidocaine patches in reducing PHN, many patients still face intractable pain disorders. In this randomized controlled study, we evaluated whether hydromorphone through intravenous patient-controlled analgesia (IV PCA) was effective in relieving PHN. Methods: Patients with PHN were randomly divided into two groups, one group received oral pregabalin with IV normal saline, another group received oral pregabalin with additional IV PCA hydromorphone for two weeks. Efficacy was evaluated at 1, 4, and 12 weeks after the end of the treatments. Results: Two hundred and one patients were followed up for 12 weeks. After treatment, numerical rating scale (NRS) score of patients in the hydromorphone group was significantly lower than that of the control group, and the difference of NRS scores between the two groups was statistically significant at 4 and 12 weeks after treatment. The frequency of breakthrough pain in the hydromorphone group was significantly lower than that in the control group 1 and 4 weeks after treatment. After treatment, the quality of sleep in the hydromorphone group was significantly improved compared with the control group. The most common adverse reactions in the hydromorphone group were dizziness and nausea, with no significant respiratory depression. Conclusions: IV PCA hydromorphone combined with oral pregabalin provides superior pain relief in patients with PHN, which is worthy of clinical application and promotion.

Nd:YAG laser machining of bioceramics

Jin-Xia Huang,Yao-Xiong Huang 한국물리학회 2007 Current Applied Physics Vol.7 No.s1

Nd:YAG laser machining of bioceramics was investigated. A group of optimal parameters is proposed for the machining, according.

Feature-Based Relation Classification Using Quantified Relatedness Information

Jin-Xia Huang,Chang-Hyun Kim,Young-Kil Kim,최기선 한국전자통신연구원 2010 ETRI Journal Vol.32 No.3

Feature selection is very important for feature-based relation classification tasks. While most of the existing works on feature selection rely on linguistic information acquired using parsers, this letter proposes new features, including probabilistic and semantic relatedness features, to manifest the relatedness between patterns and certain relation types in an explicit way. The impact of each feature set is evaluated using both a chi-square estimator and a performance evaluation. The experiments show that the impact of relatedness features is superior to existing well-known linguistic features, and the contribution of relatedness features cannot be substituted using other normally used linguistic feature sets.

Bayesian case influence analysis for GARCH models based on Kullback–Leibler divergence

Hong-Xia Hao,Jinguan Lin,Hong-Xia Wang,Xing-Fang Huang 한국통계학회 2016 Journal of the Korean Statistical Society Vol.45 No.4

Influence analysis has become an important tool for statistical analysis. This paper is concerned with Bayesian case influence analysis for generalized autoregressive conditional heteroscedasticity (GARCH) model. Case influence analysis is developed for both the joint and marginal posterior distributions based on the Kullback–Leibler divergence (K–L divergence). A simplified expression is presented for computing the K–L divergence between the full data posterior distribution and the case-deleted posterior distributions. The related computations can be done numerically by Markov Chain Monte Carlo samples from posterior distribution with full data. Some simulation studies are carried out to examine the performance of the proposed methods and show the relations between case-deletion model (CDM) and mean-shift outlier model (MSOM) for the GARCH models. Meanwhile, the methods are also illustrated by a real data.

Vibration analysis of train-bridge system with a damaged pier by flotilla collision and running safety of high-speed train

Chaoyi Xia,Kunpeng Wang,Jiacheng Huang,He Xia,Lin Qi,Xuan Wu 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.81 No.1

The dynamic responses of a pier-pile-soil system subjected to a barge/flotilla collision are analyzed. A coupled highspeed train and bridge system with a damaged pier after barge/flotilla collision is established by taking the additional unevenness of the track induced by the damaged pier as the self-excitation of the system. The whole process of a CRH2 high-speed train running on the 6×32 m simply-supported PC (prestressed concrete) box-girder bridge with a damaged pier is simulated as a case study. The results show that the lateral displacements and accelerations of the bridge with a damaged pier are much greater than the ones before the collision. The running safety indices of the train increase with the train speed as well as with the number of barges in the flotilla. In flotilla collision, the lateral wheel/rail forces of the train exceed the allowable values at a certain speed, which influences the running safety of the trains.

개념 및 관계 분류를 통한 분야 온톨로지 구축

황금하(Jin-Xia Huang),신지애(Ji-Ae Shin),최기선(Key-Sun Choi) 한국정보과학회 2008 정보과학회논문지 : 소프트웨어 및 응용 Vol.35 No.9

본 논문에서는 분야 온톨로지 구축을 위하여 분야 상위 온톨로지를 구축한 다음, 분야 시소러스의 개념과 관계를 이용하여 분야 상위 온톨로지를 확장하는 방법을 제안한다. 이를 위하여 우선 일반분야 시소러스와 분야 사전을 이용하여 분야 상위 개념 분류체계를 구축한다. 다음, 분야 시소러스의 개념을 분야 상위 온톨로지의 상위 개념으로 분류하고, 광의어(Broader Term: BT)-협의어(Narrower Term: NT) 및 광의어-관련어(Related Term: RT) 사이의 관계를 분야 상위 온톨로지에서 정의한 의미관계로 분류한다. 개념 분류는 두 단계로 진행되는데, 1단계에서는 빈도수 기반 방법, 2단계에서는 유사도 기반 방법을 적용하여 시소러스 개념을 분야 상위 온톨로지의 개념으로 분류한다. 관계 분류에서는 두 가지 방법을 적용하였는데, (i) 훈련데이타가 부족한 경우를 위하여 규칙기반 방법으로 BT-NT/RT관계를 isa와 기타 관계(non-isa 관계)로 분류하고, 다시 패턴기반 방법으로 non-isa관계를 온톨로지를 위한 의미관계로 분류한다. (ii) 훈련데이타를 충분히 가지고 있을 경우, 최대 엔트로피 모델(MEM)을 적용한 특징기반 분류 기법을 사용하되, k-Nearest Neighbors(k-NN)방법으로 훈련데이타를 정제하였다. 본 논문에서 제안한 방법으로 시스템을 구축하였고, 실험 결과 사람에 의한 판단 결과와 비교 가능한 성능을 보여 주었다. For the purpose of building domain ontology, this paper proposes a methodology for building core ontology first, and then enriching the core ontology with the concepts and relations in the domain thesaurus. First, the top-level concept taxonomy of the core ontology is built using domain dictionary and general domain thesaurus. Then, the concepts of the domain thesaurus are classified into top-level concepts in the core ontology, and relations between broader terms (BT) - narrower terms (NT) and related terms (RT) are classified into semantic relations defined for the core ontology. To classify concepts, a two-step approach is adopted, in which a frequency-based approach is complemented with a similarity-based approach. To classify relations, two techniques are applied: (i) for the case of insufficient training data, a rule-based module is for identifying isa relation out of non-isa ones; a pattern-based approach is for classifying non-taxonomic semantic relations from non-isa. (ii) For the case of sufficient training data, a maximum-entropy model is adopted in the feature-based classification, where k-NN approach is for noisy filtering of training data. A series of experiments show that performances of the proposed systems are quite promising and comparable to judgments by human experts.

시소러스를 이용한 온톨로지의 Is-a 관계 설정

황금하(Jin-Xia Huang),이신목(Sheen-Mok Lee),남윤영(Yun-Yeong Nam),신지애(Ji-Ae Shin),최기선(Key-Sun Choi) 한국정보과학회 2006 한국정보과학회 학술발표논문집 Vol.33 No.2B

시소러스의 개념과 개념간 계층관계가 온톨로지 구축에 흔히 이용되고 있다. 다만 시소러스 계층관계는 is-a관계 뿐만 아니라 세분화되지 않은 관계도 포함되고 있기 때문에, 온톨로지의 기본 관계인 is-a관계를 분별하는 작업이 필요하다. 본 논문은 개념의 어휘표현 정보를 이용하여 온톨로지의 is-a관계를 설정하는 규칙을 제시하였고, 개념의 정의문 정보를 이용하여 is-a관계를 검수하는 방법을 제안하였다. IT분야 시소러스에 대한 is-a관계 설정 실험결과, 어휘표현 정보를 이용한 규칙 기반 is-a관계 설정은 85.83%의 정확도를 보였고, 정의문 정보를 이용한 is-a관계 판단의 일관성 평가 결과 일치도가 86.44%였다.