Pointwise convergence of sequential Schr\"odinger means

We study pointwise convergence of the fractional Schr\"odinger means along sequences $t_n$ which converge to zero. Our main result is that bounds on the maximal function $\sup_{n} |e^{it_n(-\Delta)^{\alpha/2}} f|$ can be deduced from those on $\sup_{0<t\le 1} |e^{it(-\Delta)^{\alpha/2}} f|$ when $\{t_n\}$ is contained in the Lorentz space $\ell^{r,\infty}$. Consequently, our results provide seemingly optimal results in higher dimensions, which extend the recent work of Dimou-Seeger, and Li-Wang-Yan to higher dimensions. Our approach based on a localization argument also works for other dispersive equations and provides alternative proofs of previous results on sequential convergence

Roles of dark energy perturbations in the dynamical dark energy models: Can we ignore them?

We show the importance of properly including the perturbations of the dark energy component in the dynamical dark energy models based on a scalar field and modified gravity theories in order to meet with present and future observational precisions. Based on a simple scaling scalar field dark energy model, we show that observationally distinguishable substantial differences appear by ignoring the dark energy perturbation. By ignoring it the perturbed system of equations becomes inconsistent and deviations in (gauge-invariant) power spectra depend on the gauge choice.Comment: 5 pages, 4 figure

User-Centered Categorization of Mood in Fiction

Readers articulate mood in deeply subjective ways, yet the underlying structure of users’ understanding of the media they consume has important implications for retrieval and access. User articulations might at first seem too idiosyncratic, but organizing them meaningfully has considerable potential to provide a better searching experience for all involved. The current study develops mood categories inductively for fiction organization and retrieval in information systems.We developed and distributed an open-ended survey to 76 fiction readers to understand their preferences with regard to the affective elements in fiction. From the fiction reader responses, the research team identified 161 mood terms and used them for further categorization.Our inductive approach resulted in 30 categories, including angry, cozy, dark, and nostalgic. Results include three overlapping mood families: Emotion, Tone/Narrative, and Atmosphere/Setting, which in turn relate to structures that connect reader-generated data with conceptual frameworks in previous studies.The inherent complexity of “mood” should not dissuade us from carefully investigating users’ preferences in this regard. Adding to the existing efforts of classifying moods conducted by experts, the current study presents mood terms provided by actual end-users when describing different moods in fiction. This study offers a useful roadmap for creating taxonomies for retrieval and description, as well as structures derived from user-provided terms that ultimately have the potential to improve user experience

Understanding appeals of video games for readers’ advisory and recommendation

Information for original publication: Lee, Jin Ha et al. Understanding Appeals of Video Games for Readers' Advisory and Recommendation. Reference & User Services Quarterly, [S.l.], v. 57, n. 2, p. 127-139, dec. 2017. ISSN 1094-9054. Available at: . doi:http://dx.doi.org/10.5860/rusq.57.2.6529.Despite their increasing popularity and inclusion in library collections, video games are rarely suggested in library advisory or recommendation services. In this work, we use the concept of appeals from existing literature in readers' advisory and media studies to understand what attracts people to play certain games. Based on 1,257 survey responses, we identify sixteen different appeals of video games and elaborate how these appeals are expressed in users' terms. We envision these appeals can serve as an additional access point for video games and will be particularly useful for recommendation and advisory services. In addition, we also examined the correlation between appeals and common game genres. The relationships between appeals and genres observed from our data support our argument that appeals can serve as a complementary access point to result in more diversified sets of recommendations across genres. In our future work, we plan to further investigate individual appeals such as mood and narrative across multiple types of media

An efficient strategy for cell-based antibody library selection using an integrated vector system

BACKGROUND: Cell panning of phage-displayed antibody library is a powerful tool for the development of therapeutic and imaging agents since disease-related cell surface proteins in native complex conformation can be directly targeted. Here, we employed a strategy taking advantage of an integrated vector system which allows rapid conversion of scFv-displaying phage into scFv-Fc format for efficient cell-based scFv library selection on a tetraspanin protein, CD9. RESULTS: A mouse scFv library constructed by using a phagemid vector, pDR-D1 was subjected to cell panning against stable CD9 transfectant, and the scFv repertoire from the enriched phage pool was directly transferred to a mammalian cassette vector, pDR-OriP-Fc1. The resulting constructs enabled transient expression of enough amounts of scFv-Fcs in HEK293E cells, and flow cytometric screening of binders for CD9 transfectant could be performed simply by using the culture supernatants. All three clones selected from the screening showed correct CD9-specificity. They could immunoprecipitate CD9 molecules out of the transfectant cell lysate and correctly stain endogenous CD9 expression on cancer cell membrane. Furthermore, competition assay with a known anti-CD9 monoclonal antibody (mAb) suggested that the binding epitopes of some of them overlap with that of the mAb which resides within the large extracellular loop of CD9. CONCLUSIONS: This study demonstrates that scFv-Fc from mammalian transient expression can be chosen as a reliable format for rapid screening and validation in cell-based scFv library selection, and the strategy described here will be applicable to efficient discovery of antibodies to diverse cell-surface targets