자연주의적 탐구조사(Naturalistic Inquiry)

Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

Phd by thesis

计量经济分析 = Econometric analysis

A theory is proposed to account for some of the age-related differences reported in measures of Type A or fluid cognition. The central hypothesis in the theory is that increased age in adulthood is associated with a decrease in the speed with which many processing operations can be executed and that this reduction in speed leads to impairments in cognitive functioning because of what are termed the limited time mechanism and the simultaneity mechanism. That is, cognitive performance is degraded when processing is slow because relevant operations cannot be successfully executed (limited time) and because the products of early processing may no longer be available when later processing is complete (simultaneity). Several types of evidence, such as the discovery of considerable shared age-related variance across various measures of speed and large attenuation of the age-related influences on cognitive measures after statistical control of measures of speed, are consistent with this theory.

http://www.anitacrawley.net/Resources/Articles/salthouse%20The%20Processing%20Speed%20Theory%20of%20Adult%20Age%20Differences%20in%20Cognition.pdf

The processing-speed theory of adult age differences in cognition.

In 1974 an article appeared in Science magazine with the dry-sounding title “Judgment Under Uncertainty: Heuristics and Biases” by a pair of psychologists who were not well known outside their discipline of decision theory. In it Amos Tversky and Daniel Kahneman introduced the world to Prospect Theory, which mapped out how humans actually behave when faced with decisions about gains and losses, in contrast to how economists assumed that people behave. Prospect Theory turned Economics on its head by demonstrating through a series of ingenious experiments that people are much more concerned with losses than they are with gains, and that framing a choice from one perspective or the other will result in decisions that are exactly the opposite of each other, even if the outcomes are monetarily the same. Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of our brain’s wiring.

Thinking fast and slow.

Historically, journalists have manually selected news. This process has been changing dramatically with the development of personalized news aggregators (PNAs), which rely on social recommender systems (SRSs) technology. PNAs provide content geared to the personal preferences of news consumers, and thus offer new business opportunities for news providers. However, little research exists on users' intention to use PNAs or their willingness to pay (WTP) for such services. We developed PNA prototypes based on hybrid and social recommender systems and tested their performance in an online experiment. While the results showed little difference in users' intention to use either system, content provided by SRSs was perceived as more accurate. Furthermore, the optimal price point for the social recommender system (a#x20AC;1.68) was 68% higher than the price point for the hybrid recommender system.

The Digitization of News Aggregation: Experimental Evidence on Intention to Use and Willingness to Pay for Personalized News Aggregators

Adaptive social functioning requires flexibility in processing operations in response to the characteristics of specific situations. Three experiments were conducted in which the ability of different-aged adults to appropriately use category-based versus attribute-based information in making affective judgments was examined. Contrary to expectations, we found that performance was minimally related to age or to working memory efficiency. Adults of all ages made affective judgments based on category information when such information resulted in appropriate inferences, whereas attribute-based information was used when category-based inferences were inaccurate. We interpret these results to be consistent with the hypothesis that the processing of evaluative information occurs at a preconscious level with little drain on processing resources.

Category-Based versus Attribute-Based Processing in Different-Aged Adults*

The Internet provides large varieties of content, which renders consumption difficult for users. However, recommender systems filter and personalize content according to individual preferences and deliver solutions that take the problem of information overload into account. Previous studies show different approaches to classify existing recommender technologies. Nevertheless, these do not yet integrate social networking information. This study offers a systematic and up-to-date overview of three generations of recommender system technologies, including the latest development of social recommender systems. Also, the study delivers a typology and classification framework with the components of all types of recommender systems and their interactions. Separated between input, process (performed by technology and parameters) and output, we provide an overview to understand and visualize the recommendation process. Our results provide comprehensive insights in current recommender system technologies and are helpful for the design of business models and digitalization strategies.

Incorporating Social Networking Information in Recommender Systems: The Development of a Classification Framework

Erfolgsfaktoren und Erfolgswirkungen der Mehrfachnutzung von Medieninhalten - Eine empirische Untersuchung

Nachdem wir im ersten Kapitel einige grundlegende Spielregeln der Softwareindustrie dargestellt haben, wenden wir uns im Folgenden den okonomischen Prinzipien dieser Branche zu. Ausgangspunkt sind die Eigenschaften digitaler Guter (Abschn. 2.1). Im nachsten Schritt untersuchen wir Netzeffekte auf Softwaremarkten (Abschn. 2.2) und das damit eng verbundene Standardisierungsproblem (Abschn. 2.3). Daruber hinaus beschaftigen wir uns mit den Aspekten der Transaktionskosten - (Abschn. 2.4) und Principal-Agent-Theorie (Abschn. 2.5), die fur die Softwareindustrie von besonderer Bedeutung sind.

Thomas Hess

Papers

The Digitization of News Aggregation: Experimental Evidence on Intention to Use and Willingness to Pay for Personalized News Aggregators

Category-Based versus Attribute-Based Processing in Different-Aged Adults*

Incorporating Social Networking Information in Recommender Systems: The Development of a Classification Framework

Erfolgsfaktoren und Erfolgswirkungen der Mehrfachnutzung von Medieninhalten - Eine empirische Untersuchung

Ökonomische Prinzipien der Softwareindustrie