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Empirical evidence suggests that the visual system uses prior visual information to predict the future state of the world. This is believed to occur through an information integration mechanism known as serial dependence. Current perceptions are influenced by prior visual information in order to create perceptual continuity in an everchanging noisy environment. Serial dependence has been found to occur for both low-level stimuli features (e.g., numerosity, orientation) and high-level stimuli like faces. Recent evidence indicates that serial dependence for low-level stimuli is affected by current stimulus reliability. When current stimuli are low in reliability, the perceptual influence from previously viewed stimuli is stronger. However, it is not clear whether stimulus reliability also affects serial dependence for high-level stimuli like faces. Faces are highly complex stimuli which are processed differently from other objects. Additionally, face perception is suggested to be especially vulnerable to external visual noise. Here, I used regular and visually degraded face stimuli to investigate whether serial dependence for faces is affected by stimulus reliability. The results showed that previously viewed degraded faces did not have a very strong influence on perceptions of currently viewed regular faces. In contrast, when currently viewed faces were degraded, the perceptual influence from previously viewed regular faces was rather strong. Surprisingly, there was a quite strong perceptual influence from previously viewed faces on currently viewed faces when both faces were degraded. This could mean that the effect of stimulus reliability in serial dependence for faces is not due to encoding disabilities, but rather a perceptual choice.

"Data warehousing and on-line analytical processing (OLAP) are essential elements for decision support applications. Since most OLAP queries are complex and are often executed over huge volumes of data, the solution in practice is to employ materialized views to improve query performance. One important issue for utilizing materialized views is to maintain the view consistency upon source changes. However, most prior work focused on simple SQL views with distributive aggregate functions, such as SUM and COUNT. This dissertation proposes to consider broader types of views than previous work. First, we study views with complex aggregate functions such as variance and regression. Such statistical functions are of great importance in practice. We propose a workarea function model and design a generic framework to tackle incremental view maintenance and answering queries using views for such functions. We have implemented this approach in a prototype system of IBM DB2. An extensive performance study shows significant performance gains by our techniques. Second, we consider materialized views with PIVOT and UNPIVOT operators. Such operators are widely used for OLAP applications and for querying sparse datasets. We demonstrate that the efficient maintenance of views with PIVOT and UNPIVOT operators requires more generalized operators, called GPIVOT and GUNPIVOT. We formally define and prove the query rewriting rules and propagation rules for such operators. We also design a novel view maintenance framework for applying these rules to obtain an efficient maintenance plan. Extensive performance evaluations reveal the effectiveness of our techniques. Third, materialized views are often integrated from multiple data sources. Due to source autonomicity and dynamicity, concurrency may occur during view maintenance. We propose a generic concurrency control framework to solve such maintenance anomalies. This solution extends previous work in that it solves the anomalies under both source data and schema changes and thus achieves full source autonomicity. We have implemented this technique in a data warehouse prototype developed at WPI. The extensive performance study shows that our techniques put little extra overhead on existing concurrent data update processing techniques while allowing for this new functionality."

In the integrated public affairs management framework, except information communication, mass communication media also have economic industrial characteristics. Issues from mass communication media must make people have clinical and neutral cognition to avoided influences on people¡¦s judgements about facts. According to the study of the third-person effect, we proved that people mentually exist cognitive biases against communication information. Thus they always become operated subjects of elections. In order to understand subjects¡¦ cognitive and judge models, we employed three major factors, two situations of negative and positive news about THSR (Taiwan High-Speed Railway) to design our Information Integration Theory research. We also compared with the south and north people in Taiwan to show unbalances of the regional development about mass media and population quality. Findings of the research are as follow¡G 1. The north people with different issue involvements, have more movements in the the third-person effect in the negative news situation. 2. In the negative news situation, the north people¡¦s third-person effect and information reliability were represented by a negative correlation. 3. Media expose and people¡¦s third-person effect were represented by a positive correlation. 4. People¡¦s information integration models were following the adding rule. 5. The north people have more intention to support media regulation with the public opinion and actions. At last, we concluded several suggestions: 1. Unbalances of the regional development in Taiwan not only between the south and north, we must invest more resources to study and record. 2. Our study was a tiny subsection of public affairs management framework, researchers could study deeper and wider in the future. 3. The statistic tool of Information Integration Theory need to be updated to simplify importing data.

Consider an SQL query that involves joins of several relations, optionally followed by selections and/or projections. It can be represented by a conjunctive datalog query Q without negation or arithmetic subgoals. We consider the problem of answering such a query Q using a mediator M. For each relation R that corresponds to a subgoal in Q, M contains several sources; each source for R provides some of the tuples in R. The capability of each source are described in terms of templates. It might not be possible to get all the tuples in the result, Result(Q), using M, due to restrictions imposed by the templates. We consider best-effort query answering: Find as many tuples in Result(Q) as possible. We present an algorithm to determine if Q can be so answered using M. / Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science.

This project is designed as an aid to those interested in practicing, researching or teaching crisis communication. For public relations’ practitioners, it offers a comprehensive approach for structuring a crisis communication plan. For researchers, several theoretical frameworks for the study of crisis communication are provided, with the goal of allowing them a more complete foundation for executing future research. Those involved in teaching crisis communication are offered additional resources such as a sample crisis communication plan, media guidelines and a concluding case study for educating future practitioners.

Background: This paper considers two levels of supply chain integration as manufacture ( Haleeb foods) and distributors. In the last decade, the advancement in technology and collaboration in the business becoming more commonly used. Firms need to be working closely with their supply chain partner upstream and downstream. However, supply chain integration is a process to join together as business partners and optimize the collective performance of the supply chain.   Purpose: The purpose of this study is to identify the existing  levels of supply chain integration between Haleeb foods and its distributors in Pakistan. Theory defines that developing countries have a lack of integration between supply chain partners due to some barriers to supply chain integration. Furthermore, this study found the barriers to supply chain integration between the Haleeb foods and its distributors as well as identifying the most common barriers to SCI.   Methodology: This study is to identify different levels and barriers to SCI between Haleeb foods and its distributors. Subsequently, research supported the supply chain integration in the food industry of Pakistan. Furthermore, relevant literature is reviewed to design the questionnaire and sent it to all the distributors of Haleeb foods across the Pakistan through a company representative . 178 responses were received out of 200 distributors in order to complete this survey based study. Pearson correlation was performed out of empirical data to find out the significant relationship. Moreover, the authors used descriptive statistic to identify the levels and barriers to supply chain integration.   Conclusion: The current level of supply chain integration in Haleeb foods and its distributors is low due to less supply chain integration practice and unstable industrial condition in Pakistan. However, the basic dimensions (II, CRS, ORL) of supply chain integration are very important to identifying the levels of SCI. On the other hand, there are some barriers to supply chain integration between Haleeb foods and its distributors. These barriers are strongly influencing on SCI. Originality/value: This is the first empirical work, measuring the existing levels and barriers to supply chain integration in the dairy industry of Pakistan specifically, Haleeb foods and its distributors. This research has given a clear idea about the supply chain integration and collaborative efforts in the food industry of Pakistan.

The past decades have seen rapid development of numerous high-throughput technologies to observe biomolecular phenomena. High-throughput biological data are inherently heterogeneous, providing information at the various levels at which organisms integrate inputs to arrive at an observable phenotype. Approaches are needed to not only analyze heterogeneous biological data, but also model the complex experimental observation procedures. We first present an algorithm for learning dynamic cell cycle transcriptional regulatory networks from gene expression and transcription factor binding data. We learn regulatory networks using dynamic Bayesian network inference algorithms that combine evidence from gene expression data through the likelihood and evidence from binding data through an informative structure prior. We next demonstrate how analysis of cell cycle measurements like gene expression data are obstructed by sychrony loss in synchronized cell populations. Due to synchrony loss, population-level cell cycle measurements are convolutions of the true measurements that would have been observed when monitoring individual cells. We introduce a fully parametric, probabilistic model, CLOCCS, capable of characterizing multiple sources of asynchrony in synchronized cell populations. Using CLOCCS, we formulate a constrained convex optimization deconvolution algorithm that recovers single cell estimates from observed population-level measurements. Our algorithm offers a solution for monitoring individual cells rather than a population of cells that lose synchrony over time. Using our deconvolution algorithm, we provide a global high resolution view of cell cycle gene expression in budding yeast, right from an initial cell progressing through its cell cycle, to across the newly created mother and daughter cell. Proteins, and not gene expression, are responsible for all cellular functions, and we need to understand how proteins and protein complexes operate. We introduce PROCTOR, a statistical approach capable of learning the hidden interaction topology of protein complexes from direct protein-protein interaction data and indirect co-complexed protein interaction data. We provide a global view of the budding yeast interactome depicting how proteins interact with each other via their interfaces to form macromolecular complexes. We conclude by demonstrating how our algorithms, utilizing information from heterogeneous biological data, can provide a dynamic view of regulatory control in the budding yeast cell cycle. / Dissertation

This study is based on information integration theory (IIT) .First, we use general questionnaire to find out the influence the choice of attending school factors, then analysis these factors into the information integration theory experiments which, from the psychological cognitive process to explore the knowledge and judgment of the southern Taiwanese students studying to the mainland China. According to the general questionnaire for students, parents and teachers. The results of three groups to be substituted into the information integration experiment. Otherwise, understanding the current educational environment for these three groups of objects survey is very important. The IIT experiment is for 50 students who are lived in Southern Taiwan, the factor derived in accordance with the general questionnaire is divided into "school assessment" and "social conditions", and these two oriented survey in the southern students' cognitive structure to the mainland China, integrated model, as well as the willingness of study in mainland China. The results are as follows: 1. Among the general survey results, most students and parents still do not have much intention to visit the mainland to study, but in the teachers, most teachers are willing to recommend students to the Chinese mainland to school and stay in mainland China. 2. From the analysis of 50 samples of information integration experiment, the first we use FM # 1 to get the result. Only 21 samples belonged to the average mode, then 21 samples use software AVERAGE weight and psychological value, most of the students in the choice of school at the same time, the school assessment is more important than the social conditions. There are 9 students care about the social conditions most.

Public policies in a pluralistic society should be able to clarify and cope with the complicated nature of public issues dominated by ¡§multiple parties, multiple values, and subjective judgment.¡¨ (Farkas & Anderson, 1974) Therefore, instead of merely concluding with the outcome, we should also take input into account when evaluating resource allocation or assessing policy effectiveness. In addition, since the public and the government differ in their judgment criteria and indicators, and multiple parties also have different understandings, the controversy of ¡§inequity¡¨ thus arises. In short, to conduct fairness measurement, we should focus on defining the parties as well as the input and outcome indicators. This research adopted the Public Affairs Management framework to analyze Cijin Seaside Park in Kaohsiung City and Tamshi Fishers¡¦ Wharf in New Taipei City. We have conducted a fairness measurement and cross-domain analysis to explore the equity perception in three aspects: economic equity, social fairness, and procedure justice. Moreover, we conducted a secondary data analysis, analyzed expert interviews, and generalized the carrier condition and factual judgment of the PAM framework. Furthermore, we explored the value judgment and interpersonal judgment in PAM framework with fairness measurement of the information integration theory. Our theory is based on the equity rule proposed by Anderson, which also emphasizes the individual and interpersonal comparison of individual input and outcome. Our results are demonstrated as follows: 1. In the individual value analysis of economic equity, both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf have over 10 local stores and tourists that fits one-factor rule of the tourist number factor. 2. In the individual value analysis of social fairness, Cijin Seaside Park has 10 local stores that support one-factor rule of the public support factor. However, Cijin Seaside Park has over eight tourists that fit the adding rule of public support factor and actual request factor, whereas Tamshi Fishers¡¦ Wharf has over eight local stores and tourists that fit the same rule. 3. In individual value analysis of procedure justice, both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf have over 14 local stores and tourists that fit the unequal-weight averaging rule of policy support factor and administrative cooperation factor. 4. In interpersonal comparison of economic equity, the experimental result shows that the local stores and tourists in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf fit the unequal-weight averaging rule of the integration of their tourist number factors. Also, the local stores and tourists in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf fit the unequal-weight averaging rule of the integration of their revenue (consumption) factors. Moreover, the local stores and tourists in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf both fit the adding rule of their respective tourist number factor and revenue (consumption) factor. This result also supports the ¡§rule of inequity integration.¡¨ 5. In interpersonal comparison of social fairness, the local stores in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf fit the unequal-weight averaging rule of the public support factor. They also fit the unequal-weight averaging rule of the actual request factor. As for the tourists, those in both two places fit the unequal-weight averaging rule of the public support factor. Also, they fit the unequal-weight averaging rule of the actual request factor. 6. In interpersonal comparison of procedure justice, the local stores in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf fit the unequal-weight averaging rule of policy support factor. They also fit the unequal-weight averaging rule of the administrative cooperation factor. As for the tourists, those in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf fit the unequal-weight averaging rule of policy support factor. Also, they fit the unequal-weight averaging rule of the administrative cooperation factor. We continued to conduct a cross-domain analysis to integrate the above research results, as well as the results of secondary data analysis and expert interviews. As a result, we thereby propose related suggestions and generalize the operation steps of fairness measurement.