Yu-Chu Chen

This article delves into the concept of "Egocloism," a term that amalgamates an inflated sense of self-importance ("ego") with a disposition towards isolation and resistance to external influences ("cloister"). It explores how this mindset manifests not only in individuals but also at the communal level, leading to insularity and a reluctance to embrace diversity and progress. Drawing inspiration from Anton Chekhov's narrative of "The Man in a Case," the article introduces the metaphor of "The Race in a Case" to critique communities entrenched in their historical narratives and cultural identities to the detriment of inclusivity and growth. Through historical examples such as the Spanish Inquisition, the Tokugawa Shogunate’s Sakoku Policy, the Ottoman Empire’s late reforms, and the fall of the Qing Dynasty, the article illustrates the adverse effects of Egocloism. It concludes with strategies for individuals and communities to overcome this mindset, advocating for a shift towards an open horizon that embraces diversity, inclusivity, and global interconnectedness.

The structure of Au layers deposited by sputtering on oxidized p-type Si substrates is investigated by a combination of scanning electron microscopy and scanning probe microscopy. The effect of the temperature on the grain structure of the layers has been determined, revealing that an annealing temperature of 300° C results in a larger grain size and smoother surfaces but generates some cracks in the film surface. At an annealing temperature of 500° C, further grain growth is observed, but a high density of cracks and voids also results while there is little enhancement regarding the smoothness of the grain surfaces

Objects in the world usually have names at different hierarchical levels (e.g., beagle, dog, animal). This research investigates adults' ability to use cross‐situational statistics to simultaneously learn object labels at individual and category levels. The results revealed that adults were able to use co‐occurrence information to learn hierarchical labels in contexts where the labels for individual objects and labels for categories were presented in completely separated blocks, in interleaved blocks, or mixed in the same trial. Temporal presentation schedules significantly affected the learning of individual object labels, but not the learning of category labels. Learners' subsequent generalization of category labels indicated sensitivity to the structure of statistical input.

Prior research has shown that people can learn many nouns from a short series of ambiguous situations containing multiple words and objects. For successful cross-situational learning, people must approximately track which words and referents co-occur most frequently. This study investigates the effects of allowing some word-referent pairs to appear more frequently than others, as is true in real-world learning environments. Surprisingly, high-frequency pairs are not always learned better, but can also boost learning of other pairs. Using a recent associative model, we explain how mixing pairs of different frequencies can bootstrap late learning of the low-frequency pairs based on early learning of higher frequency pairs. We also manipulate contextual diversity, the number of pairs a given pair appears with across training, since it is naturalistically confounded with frequency. The associative model has competing familiarity and uncertainty biases, and their interaction is able to capture the individual and combined effects of frequency and contextual diversity on human learning. Two other recent word-learning models do not account for the behavioral findings.