Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“… BackgroundImmunotherapy has become a game changer in cancer treatment. The internet has been used by patients as a platform to share personal experiences and seek medical guidance. …”
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Zostań MovieStarPlanet! – czyli o partycypacji kultury dziecięcej w kulturze cyfrowej by Joanna Dziekońska

“…Among the creations published by children in the service, the following were distinguished, among others, multimedia images (ArtBooks, arts), several short audio-visual pieces, animated photos, stylings (looks) as well as text thematic games published on the forum. The analysis of children’s e-folklore allowed formulating conclusions on the communal and creative functioning of children in a selected web place, a rich variety of themes and types of undertaken communication initiatives and the existence of specific features of children’s language suggesting the existence of the internet aspect of children’s culture. …”
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The Concise History of the Theological Journal “Polonia Sacra” by Henryk Sławiński

“…The renewal of the journal “Polonia Sacra” as the official publication of the Faculty of Theology in Krakow was restarted again in 1997 and has been continued till now. The Internet era became a challenge for the journal, which gained the national recognition, and has the aspiration to be an international forum for the academic exchange of theological research. …”
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Online Sexual Solicitation by Kate Fogarty

“…“Internet connectivity in the form of blogs, chat rooms, and forums can be hazardous to our teens today. …”
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Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

“…The dataset for research is randomly taken from marine fauna forums on the internet. DenseNet with 201 layers shows a better generalization than other classifiers (accuracy of DenseNet 121, 169, 201, and baseline EfficientNet, respectively 53%, 41%, 73%, and 47%). …”
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