Methodological Considerations for the Use of Longitudinal Interpretative Phenomenological Analysis in Healthcare Research by Marta Wanat, William Day, Michael Larkin

“…Longitudinal Qualitative Research (LQR) aims to chronicle individuals’ lives in real-time, offering a “qualitative movie” of their unfolding experiences, focusing on the dynamic interplay of continuity and change. …”
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HEADPLAY Personal Cinema System Facilitates Intravenous Cannulation in Children: A Randomized Controlled Trial by Evangeline Lim, Teddy Fabila, Thong Sze Ying, Josephine Tan

“…HEADPLAY personal cinema system (PCS) is a portable visual headset/visor through which movie clips may be viewed. We studied the use of HEADPLAY PCS as a distraction tool in facilitating intravenous cannulation in children undergoing anaesthesia. 60 children were enrolled into the study and randomized into 2 groups. …”
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Comparison of Distraction Techniques using Salivary Biomarkers during Local Anaesthesia Administration in Children Aged 3–5 Years: A Clinical Study by Yanina Singh, Poornima Parameshwarappa, Mebin George Mathew, SB Meghana, Mallikarjuna Kenchappa, N. B. Nagaveni

“…Children were then asked to wear overhead phones in the AD group, connected to a phone, and rhymes were played. In AVD, a cartoon movie was shown to the children using AV glasses. …”
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Can the number of confirmed COVID-19 cases be predicted more accurately by including lifestyle data? An exploratory study for data-driven prediction of COVID-19 cases in metropolit... by Sungwook Jung

“…Methods We included taking public transportation, watching a movie at the cinema, and accommodation at a motel in the lifestyle data. …”
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Overseas short video recommendations: A multimodal graph convolutional network approach incorporating cultural preferences by Xishi Liu, Haolin Wang, Dan Li

“…Unlike traditional methods that rely on the overall metadata of the short movies only, our approach jointly considers visual, linguistic and audio features of short movies, as well as user interactions, to propose personalized recommendations. …”
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Sensory Behaviours and Resting Parasympathetic Functions among Children with and without ADHD by Ivan Neil Gomez, Lissa Martha Domondon, Hector WH Tsang, Chetwyn CH Chan, Cynthia YY Lai

“…Children underwent an experimental protocol consisting of watching a silent cartoon movie while HF n.u. is continuously monitored, within a controlled environment. …”
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Rhetorical questions as aggressive, friendly or sarcastic/ironical questions with imposed answers by Špago Džemal

“…The analysis of the corpus, which consisted of 275 RQs taken from ten American movie scripts, showed that friendly RQs are more common than the other two types, and that, in instances where one of the interlocutors is in a superior position, superior-to-inferior RQs are by far more common than vice versa. …”
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A Novel Recommendation Algorithm Integrates Resource Allocation and Resource Transfer in Weighted Bipartite Network by Qiang Sun, Leilei Shi, Lu Liu, Zixuan Han, Liang Jiang, Yan Wu, Yeling Zhao

“…Experiments are conducted on the MovieLens training dataset, and the experimental results show that the proposed algorithm outperforms classical collaborative filtering systems and network structure based recommendation systems in terms of recommendation accuracy and hit rate.…”
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The Dry Eye Disease Activity Log Study by Jayant V. Iyer, Sze-Yee Lee, Louis Tong

“…The log included time spent in an air-conditioned environment, windy environment, driving, watching television, computer use, reading, watching a movie in the theatre, and wearing contact lens. Average daily activity hours were calculated and correlated with clinical features of DED. …”
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A Time-Aware CNN-Based Personalized Recommender System by Dan Yang, Jing Zhang, Sifeng Wang, XueDong Zhang

“…The experimental results on the MovieLens-1m real dataset show that the proposed TC-PR can effectively solve the cold-start problem and greatly improve the speed of data processing and the accuracy of recommendation.…”
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Covert marketing in films and series by Dimitrijević Ljiljana, Gojković Marija, Kolar Janez

“…And while we are watching a movie or a favorite series, the advertising block and commercials do not bother us at all, and we use that time for other things. …”
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Targeted Advertising in Social Media Platforms Using Hybrid Convolutional Learning Method besides Efficient Feature Weights by Seyed Mohsen Ebadi Jokandan, Peyman Bayat, Mehdi Farrokhbakht Foumani

“…According to the findings, hashtag, brand ID, movie title, and actors achieve the highest scores, and the values for actual training time in various data ratios are relatively linear, which confirms the scalability of the proposed model for large datasets. …”
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Subtitle Translation: Cultural Components in the Translation of the Film Qu'est-ce qu'on a fait au bon Dieu? by Gülhanım Ünsal

“…Subtitle translation which is presented together with the original sound of the movie is a bare translation; therefore it is open to criticism in this respect as well. …”
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Extracting Implicit User Preferences in Conversational Recommender Systems Using Large Language Models by Woo-Seok Kim, Seongho Lim, Gun-Woo Kim, Sang-Min Choi

“…The proposed approach is validated through experiments on three comprehensive datasets: the Reddit Movie Dataset (8413 dialogues), Inspired (825 dialogues), and ReDial (2311 dialogues). …”
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Empowering women on screen: exploring the influence of female protagonists on contemporary culture and gendered enjoyment in film by Fokiya Akhtar, Azmat Rasul

“…They watched and read a summary of the movies and rated their expected pleasure of 24 randomly selected movie plots. …”
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Sex, Gore and Provocation: the Influence of Exploitation in John Waters’s Early Films by Elise Pereira Nunes

“…The illicit, controversial topics addressed in his early movies, traditionally brought up by exploitation in order to attract audiences whose voyeuristic desires would not be fulfilled by Hollywood’s promotion of moral standards, have predictably put him at the margins of mainstream movie culture. …”
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Cyclic Training of Dual Deep Neural Networks for Discovering User and Item Latent Traits in Recommendation Systems by Dohyoung Rim, Sirojiddin Nuriev, Younggi Hong

“…When evaluated with the MovieLens 100K dataset, CDLD demonstrated superior performance, achieving a root mean square error (RMSE) that was 2.86% lower than that of matrix factorization and 2.51% lower than that of neural collaborative filtering, thus showing strong generalization capabilities. …”
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Efficient Preference Clustering via Random Fourier Features by Jingshu Liu, Li Wang, Jinglei Liu

“…Compared with traditional preference clustering, our method solves the problem of insufficient memory and greatly improves the efficiency of the operation. Experiments on movie data sets containing 100 000 ratings, show that the proposed method is more effective in clustering accuracy than the Nyström and k-means, while also achieving better performance than these clustering approaches.…”
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Assexualidade em seriados televisivos: uma análise sócio-histórica by Maria Laura Barros da Rocha, Camila dos Anjos Falcão, Alana Madeiro de Melo Barboza, Luciano Domingues Bueno

“…Para isso, desenvolveu-se um estudo descritivo-interpretativo, a partir da base online Internet Movie Database (IMDb). Na base de dados, os títulos “Better Half” da série House M.D. e “The Laws of Gods and Men” de Game of Thrones foram identificados como potencializadores da discussão da assexualidade. …”
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Cinéma et lien : une enquête intime auprès d'une famille italienne en Lorraine by Marion Froger, Émilie Tullio

“…Moreover, it can make one relive emotions one may have once felt in the past or still feels, and makes it possible to share them with others – especially with the ones we cherish – and experience a kind of mute understanding while watching a movie with them.…”
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