cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2017.207
title: Asset pricing and network topology

description: This dissertation provides new empirical evidence for the relationship between network structure and asset returns in US, international markets, and Thailand. Previous studies find that a network of return correlations provides the meaningful economic taxonomy of the equity market. This finding makes the network structure a suitable channel through which an idiosyncratic shock propagates. This network feature can eliminate or amplify the idiosyncratic shock on the system-wide level. Therefore, the diversifying argument of the capital asset pricing models is not always true as the idiosyncratic shock becomes more significant when interacting with the network measures. Based on this idiosyncratic shock propagation concept, this dissertation incorporates the measures of interconnectedness and centrality into the asset pricing models. In this dissertation, a stock network is constructed from the Pearson correlation matrix of stock returns that is filtered by a network algorithm. Unlike the unfiltered matrix, the filtered one contains only the essential information about the interrelationships. More importantly, it enables us to create a refined network of which many network characteristics can be quantified. The important network characteristics used in this dissertation are network topology and stock centrality. The network topology reflects the pattern of interconnections which may be integrated into a star-like network or even dispersing into a chain-like network. Each pattern has different ability to facilitate the idiosyncratic shock propagation. The stock centrality reflects the relative influence of the stock in two directions. The first direction is the stock’s ability to influence the other stocks in the network while the other direction is its vulnerability to propagated shocks. The key finding of this dissertation is that the measures of network structure are statistically significant to explain or predict asset returns. In the US market, I study the stocks listed in S&P500 and find that the network topology, measured by diameter, works together with the idiosyncratic risk, measured by average stock variance, to predict returns on the market portfolio. Furthermore, on the international financial markets, the network measures have power to predict the probability of extreme negative returns when working with the idiosyncratic risk measure which is average volatility of stock market returns. Lastly, in Stock Exchange of Thailand, I find that the portfolios formed by the network criteria earn abnormal returns that cannot be explained by the capital asset pricing model. The high systematic-important firms have lower returns than the low ones. The firms with high fragility level have higher returns than the others. Moreover, the network centrality may be useful in explaining the cross-sectional expected returns in Thailand.
DOI: 10.13145/bacdive124116.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive124117.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2017.208
title: DETERMINANTS OF INWARD FOREIGN DIRECT INVESTMENT FROM CHINA, SOUTH KOREA AND JAPAN AND ITS CONTRIBUTION TO ECONOMIC GROWTH IN CAMBODIA

description: Foreign direct investment (FDI) has increased globally since the late 1980s. It increased rapidly in Cambodia in the past two decades. This paper aims to examine the determinants of inward FDI from China, South Korea and Japan and its contribution to economic growth in Cambodia during 1994-2014, using both time series analysis by country and the panel data analysis. The results on the determinants of FDI show that real GDP, bilateral trade between the countries, exchange rate, inflation rate, and relative labor productivity are statistically significant and have positive impact on inward FDI flows into Cambodia, and inward FDI from those three investing countries contribute to Cambodia’s economic growth respectively. The findings from the study on the impact of FDI indicate that there are positive relationships between inward FDI from China, South Korea and Japan and Cambodia’s economic growth. Labor force, domestic investment, human capital, infrastructure and trade openness are the important factors leading to economic growth in Cambodia when receiving inward FDI from those three investing countries. However, the positive effect on the Cambodia’s economic growth could have been greater if the country had greater capability to absorb advanced technology from the FDI. Besides, Cambodian policy makers should focus more on the policies that are friendly and attractive to inward FDI. Moreover, to attract more inward FDI, the government should promote encouraging environment for trade and investment for both local and foreign investors, remove restrictions against FDI and develop physical infrastructure. Finally, policy makers should not forget the development of human capital because the variable represents the absorption capacity from which the Cambodian economy could benefit from the FDI.
DOI: 10.13145/bacdive124118.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2017.209
title: Expatriate management, absorptive capacity of knowledge, and subsidiary performance : the case of Japan-based multinational companies in Thailand and Singapore

description: The impact of expatriates on knowledge transfer in foreign subsidiaries has been a focus of research on knowledge management in multinational companies (MNCs). This study combines knowledge-based view, the concept of absorptive capacity, and studies on expatriates literature’s approach to examine the effect from expatriates on transfer of two kinds of MNC’s knowledge (i.e. technological knowledge and marketing knowledge). This paper also analyzes the impact of knowledge absorptive capacity on subsidiary performance to examine how expatriates affect subsidiary performance by knowledge transfer. This study ran analysis of 33 subsidiaries of Japan-based firms in Thailand and Singapore over a 16-year period. Results of analysis indicate that the composition of expatriates in subsidiary workforce 1: promotes absorptive capacity on technological knowledge of subsidiary, but 2: hinders absorptive capacity on marketing knowledge of subsidiary. In addition, absorptive capacity of two kinds of knowledge in subsidiary 3: does not gain subsidiary performance by working separately, but 4: gain subsidiary performance by working together. The implications for expatriate management study and knowledge transfer literature are discussed.
DOI: 10.13145/bacdive124119.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive124120.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive124121.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive124122.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2017.211
title: Development of an instructional model integrating WebQuest learning approach and reflective practice to enhance English critical reading ability of undergraduate students in Cambodia

description: The purposes of this study were 1) to develop an instructional model integrating WebQuest Learning Approach and Reflective Practice to enhance English critical reading ability of undergraduate students, 2) to investigate the effectiveness of the instructional, and 3) to investigate undergraduate students’ English critical reading ability development learning with the instructional model. The research and development processes were divided into four phases: 1) studying of the significance of the problem and learning approaches, 2) developing of the instructional model integrating WebQuest Learning Approach and Reflective Practice, 3) Studying the effectiveness of the instructional model integrating WebQuest Learning Approach and Reflective Practice, and 4) Revising and developing the instructional model integrating WebQuest Learning Approach and Reflective Practice. The sample consisted of 11 second-year undergraduate students majoring in English as a foreign language at the Faculty of Language, Arts, and Humanities in a university in Cambodia. The sample were purposively selected and studied with the newly developed instructional model for 10 weeks, total of 30 hours. The instrument was the English critical reading ability test. Quantitative statistic used in this study was Wilcoxon Signed-ranks test. Qualitative data were analyzed using content analysis. The results showed that: 1. The instructional model integrating WebQuest Learning Approach and Reflective Practice consisted of five learning steps: 1) Generating skepticism, 2) Assigning the Quest, 3) Exploring the Quest, 4) Reflecting the Quest and 5) Concluding the Quest. 2. A Wilcoxon Signed-Ranks test indicated the sample (were taught with the instructional model integrating WebQuest Learning Approach and Reflective Practice) had significantly higher critical reading ability mean score in the posttest compared to those in the pretest at .05 level of significance. 3. The sample (were taught with the instructional model integrating WebQuest Learning Approach and Reflective Practice) resulted in the higher development of the English critical reading ability after experienced with the instruction.
DOI: 10.13145/bacdive124123.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive124124.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2017.212
title: Study of liquefaction mechanism in Chiang Rai province

description: ทางภาคเหนือของประเทศไทยได้เผชิญภัยแผ่นดินไหวครั้งใหญ่ถึง 2 ครั้งคือ แผ่นดินไหวที่ศูนย์กลางอยู่ ที่เมืองทาร์เลย์ในประเทศเมียนมาปี ค.ศ. 2011 และแผ่นดินไหว ที่อ.แม่ลาว จ.เชียงรายในปี ค.ศ. 2014 งานวิจัยนี้จึงดำเนินการศึกษาการเกิดทรายเหลวระหว่างการเกิดแผ่นดินไหวโดยเฉพาะในจังหวัดเชียงราย งานวิจัยนี้เริ่มจากการวิเคราะห์ด้วยสูตรเชิงประสบการณ์โดยใช้ข้อมูลในหลายพื้นที่ในภาคเหนือ การศึกษาผลตอบสนองแผ่นดินไหวสามารถนำไปใช้ประเมินผลของการแผ่ขยายของคลื่นแผ่นดินไหวในชั้นดินได้ นอกเหนือจากนี้ มีการสำรวจพื้นที่ด้วยการทดสอบไมโครทริมเมอร์และการวิเคราะห์สเปกตรัมคลื่นผิวดินบริเวณพื้นที่ที่เคยเกิดทรายเหลวในระหว่างแผ่นดินไหวทั้งสองครั้ง การวิเคราะห์ผลตอบสนองต่อการเกิดทรายเหลวแบบหนึ่งมิติเพื่อสังเกตพฤติกรรมพลศาสตร์ของชั้นดินพบว่า ชั้นทรายชั้นแรกและชั้นที่สองของบริเวณที่ทำการศึกษามีโอกาสการเกิดทรายเหลวค่อนข้างสูง นอกเหนือจากนี้ ผลวิเคราะห์การแผ่ขยายของคลื่นพบว่า ที่บริเวณอ.แม่สาย ชายแดนไทย-เมียนมา อาจเกิดความเสียหายต่ออาคารความสูงปานกลางจากการขยายตัวของคลื่นแผ่นดินไหวได้ เนื่องจากการสั่นพ้องระหว่างดินและโครงสร้าง ส่วนผลการสำรวจพื้นที่ยังพบว่าสภาพทางธรณีวิทยาประกอบไปด้วยชั้นดินตะกอนของแม่น้ำที่มีความต้านทานต่อแรงเฉือนค่อนข้างต่ำ พฤติกรรมของดินพวกนี้ระหว่างการแผ่ขยายคลื่นน่าจะโอกาสเกิดทรายเหลวได้ง่าย การศึกษานี้น่าใช้แนะนำวิศวกรท้องถิ่นเพื่อให้ตระหนักถึงความไม่ปลอดภัยต่อแผ่นดินไหวและการเกิดทรายเหลวในพื้นที่ภาคเหนือโดยเฉพาะในจังหวัดเชียงรายได้
DOI: 10.13145/bacdive124125.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2017.213
title: Robust Scale-Invariant Normalization and Similarity Measurement for Time Series Data

description: Classification is one of the most prevalent tasks in time series mining. Dynamic Time Warping and Longest Common Subsequence are well-known and widely used algorithms to measure similarity between two time series sequences using non-linear alignment. However, these algorithms work best when the time series pair has similar amplitude scaling. Unfortunately, sensor data and most real-world time series data usually contain noise, missing values, outlier, and variability or scaling in both axes, which is not suitable for the widely used Z-normalization. This research introduces the Local Feature Normalization (LFN) and its Local Scaling Feature (LSF), which can be used to robustly normalize noisy/warped/missing-valued time series. In addition, LSF is utilized to help matching time series containing multiple subsequences with a variety of scales; this algorithm is called Longest Common Local Scaling Feature (LCSF). Compared to the use of Z-normalized data, our classification results show that our proposed LFN is impressively robust, especially on high-error and noisy datasets. On both synthetic and real application data for wrist strengthening rehabilitation exercise using a mobile phone sensor, our LCSF similarity measure also significantly outperforms other existing methods by a large margin. However, LCSF has the serious drawback on speed and number of parameters. Finally, this thesis proposes local scaling Dynamic Time warping (LSDTW), which has faster speed and fewer parameters than LCSF, but LSDTW can impressively outperform LCSF and other state-of-the-art approaches.
DOI: 10.13145/bacdive124126.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2017.214
title: Developing an area classification system from mobile phone usage data

description: Since human activities are vary by time and place, there have been many attempts to extract social behavior in spatial studies which included area use in the city. This information helps gaining advantages in city and facilities planning. Nowadays, many people carry mobile phone with them for communication purpose. This motivates us to analyze mobile phone usage in different area types. This thesis proposes method of an analysis for area use classification from mobile phone usage pattern. CDR data was used to define mobile phone usage pattern by hour from 1:00 to 24:00 and day of week from Monday to Sunday. And then processed clustering algorithm to find optimal groups of usage pattern from cell towers. Ratio of usage from each pattern is used to predict area type and facilities. Besides, the researcher also revealed the examples of mismatch location and minor groups of area use in this thesis.
DOI: 10.13145/bacdive124127.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive124128.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2017.215
title: TRAVEL TIME ESTIMATION AND PREDICTION FOR URBAN ARTERIAL ROADS

description: Travel time information has been accepted as the core of advanced traveler information systems (ATIS) and advanced traffic management systems (ATMS). Providing the accurate travel time information to traffic operators and travelers allows them to make informed decisions, leading to more advantage for individual road users and the entire transportation system. Most of the traffic information providers normally deliver the current traffic conditions or current travel times to public assuming the state of traffic remains constant in the near future. Aimed at the more effective applications, short-term future traffic conditions have been proposed as a valuable piece of information in ATIS and ATMS, apart from instantaneous or estimated travel time for representing current traffic conditions. This dissertation aims at formulating the approaches for travel time estimation and short-term travel time prediction using probe data. The urban roadways in CBD area of Bangkok metropolis with highly complex and nonlinear behaviors were selected as the study corridors for confirming the applicability of the proposed techniques. First, a modified algorithm for calculating travel time and travel speed on urban roadways from high-resolution GPS probe data called “Running Speed and Stopped Delay (RSSD) method” has been proposed. This technique was modified from the average speed method using the advantage of movable sensor in which the location and speed of the tracked vehicle could be automatically detected. Secondly, for the real world application, the new analytical algorithm for allocating travel time from low-resolution GPS probe data into individual road sections by integrating instantaneous speed together with tracked locations and time stamp has been proposed. The performance of the proposed model in travel time allocation was tested and compared with the widely used technique using real field data. Results indicated that the proposed technique provided a significant improvement in travel time allocation at both complete section and intersection levels compared to the baseline technique. Thirdly, a traffic data collection system from Bluetooth MAC Scanner (BMS) was developed and the framework for constructing link travel time information from Bluetooth probe data and the preliminary analysis was also provided. Next, the short-term travel time prediction model using multilayer feedforward neural networks with the information from both target section and neighboring sections as the candidates for model inputs has been proposed. The real Bluetooth dataset obtained from BMS systems installed on urban roadway networks in Bangkok CBD was used in verifying the applicability of the proposed technique. Results indicated the proposed forecast technique was superior in traffic condition with moderate and highly fluctuated travel time profiles (CV&gt;0.4) which could be experienced on most urban road sections.
DOI: 10.13145/bacdive124129.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive124130.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/cu.the.2017.216
title: Development of innovative high-energy neutron and gamma-ray shielding material based on high density cement and crumb rubber

description: The incorporation of carbon and hydrogen-rich material into radiation shielding material can improve its shielding performance. High-density cement mixed with crumb rubber was studied to be a gamma ray and neutron shielding material. Shielding materials were designed using high-density cement mixed with 5 – 25 vol% of crumb rubber. Monte Carlo N-Particle code was employed to simulate radiation shielding performances of the composed materials. The utilized neutron and photon sources were Am-241/Be and Co-60, respectively. These shielding designs were fabricated and experimentally evaluated on the radiation shielding properties. The cracking mechanism of high-density cement mixed with lead (HDCRL) was also investigated. The quantitative X-ray diffraction technique (QXRD) was used to determine the crystalline phases as well as elemental compositions of HDCRL. Buildup factors from gamma ray scattering, prompt and secondary gamma ray emissions from the neutron capture interaction were also evaluated. The prompt and secondary gamma ray emissions were determined using Prompt Gamma Neutron Activation Analysis (PGNAA). In addition, the mechanical properties of samples were evaluated using the Compressive Testing Machine (CTM). The high-density cement mixed with 5 vol% crumb rubber and 5 vol% lead powder demonstrated the highest neutron and gamma ray shielding performances. The neutron and photon attenuations were 64% and 68%, respectively, better than ordinary concrete. Analysis of the cracking mechanism of HDCRL revealed six crystalline phases: barite, portlandite, quartz, calcite, lead and PbO2. The weak adhesion of lead powder to high-density cement was the main cause of cracking. For photon interaction, the gamma interaction with high-density cement mixed with crumb rubber increased the buildup factor; however, the value was close to unity leading to the conclusion that the secondary gamma ray and prompt gamma ray were not present. For neutron interaction, no prompt or secondary gamma ray emission was detected using PGNAA technique. The average compressive strength indicated that the high-density cement mixed with 5 vol% crumb rubber exhibited higher strength than other specimens and that increasing the crumb rubber content decreased the mechanical property. This innovative composite radiation shielding material not only benefits nuclear science and engineering applications, but also helps solve the environmental issue of waste rubber.
DOI: 10.13145/bacdive124131.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive124132.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.