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Facilitative use of classifiers in heritage Vietnamese

Abstract Recent research has highlighted the value of investigating the online language processing of heritage speakers (HS) as a means of accessing their implicit language knowledge (Montrul, 2023). While studies have shown that Spanish and Polish HS use grammatical gender cues to predict upcoming nouns (Fuchs, 2022a, 2022b), less is known about Vietnamese HS’ use of prenominal classifiers (e.g., con for animate objects, cái for inanimate objects) to facilitate their processing (but see Ito et al., 2024). This study examined if and how home-country raised and heritage speakers of Vietnamese in the U.S. use classifiers to facilitate the processing of upcoming nouns, and whether heritage language proficiency is a modulating factor. Forty-one adult native speakers of Vietnamese (18 home-country raised, 23 HS) completed a visual-world eye-tracking experiment, an offline cloze test to assess knowledge of classifier–noun pairings, and a Vietnamese listening proficiency test. The results indicate that despite more variable knowledge of classifier–noun pairings and generally slower lexical access, HS use classifiers as a semantically informative cue during real-time comprehension, albeit to a somewhat lesser extent than their home-country raised peers. Increased proficiency in the heritage language, whether measured objectively or self-rated, was not found to enhance engagement in prediction.

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Open Access
"Our Community Comes First": Investigating Recruitment Ads That Represent and Appeal to Black Women for Online, HIV-Related Research Studies.

Black women are underrepresented in health-related research. Consulting Black women in the creation of recruitment materials may help increase their representation in research studies, but few of these recruitment materials have been evaluated. This manuscript reports on the impact of two ads (one featuring older women and one featuring younger women) created through multiple focus group sessions with Black women. The purpose of the ads were to recruit Black women to participate in an online research study about HIV prevention and pre-exposure prophylaxis, PrEP. Questions about the ads were embedded in the eligibility screener for inclusion in the online parent research study. Respondents were asked which ad they saw, what they liked about it, and what about the ad piqued their interest in the study. In total, 301 Black women completed the eligibility screener for the online study and answered questions pertaining to the two ads. Most participants reported seeing the ad with younger women (260/301, 86.4%). Representation of Black women (n = 70), ad design (n = 64), relevance to Black women and the Black community (n = 60), and comprehensiveness of ad content (n = 38) were the top 4 ad features respondents liked. Relevance to Black women and the Black community (n = 104) as well as ad content (n = 54) (i.e., study purpose, location, duration, images, incentive) were the top two reasons provided about ads that piqued respondent's interest in the online study. Findings showcase how recruitment ads informed by Black women could help increase their interest and participation in research.

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Louisfuchsite, Ca2(Mg4Ti2)(Al4Si2)O20, a new rhönite-type mineral from the NWA 4964 CK meteorite: A refractory phase from the solar nebula

Abstract Louisfuchsite (IMA 2022-024), with an end-member formula Ca2(Mg4Ti2)(Al4Si2)O20, is a new refractory mineral identified in a Ca-Al-rich inclusion (CAI) from the NWA 4964 CK3.8 carbonaceous chondrite. Louisfuchsite occurs with spinel, perovskite, grossmanite, plus secondary rutile, titanite, and ilmenite in three regions in the CAI. The mean chemical composition of type louisfuchsite by electron probe microanalysis is (wt%) Al2O3 25.48, SiO2 18.40, MgO 17.92, TiO2 15.36, Ti2O3 3.13, CaO 14.92, FeO 3.30, V2O3 0.67, Cr2O3 0.08, total 99.26, giving rise to an empirical formula of Ca2.00(Mg3.44Ti1.494+Fe0.36Ti0.343+Al0.24V0.073+Ca0.06Cr0.01)Σ6.01(Al3.63Si2.37)Σ6.00O20. Louisfuchsite has the P1 rhönite structure with a = 10.37(1) Å, b = 10.76(1) Å, c = 8.90(1) Å, α = 106.0(1)°, β = 96.0(1)°, γ = 124.7(1)°, V = 741(2) Å3, and Z = 2, as revealed by electron backscatter diffraction. The calculated density using the measured composition is 3.44 g/cm3. Louisfuchsite is a new refractory phase from the solar nebula, crystallized from an 16O-rich (Δ17O ~ −24 ± 2‰) refractory melt with the initial 26Al/27Al ratio of (5.09 ± 0.58) × 10−5 under reduced conditions. The mineral name is in honor of Louis Fuchs (1915−1991), a mineralogist at Argonne National Laboratory, for his many contributions to mineralogical research on meteorites.

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PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training

Federated recommendation systems employ federated learning techniques to safeguard user privacy by transmitting model parameters instead of raw user data between user devices and the central server. Nevertheless, the current federated recommender system faces three significant challenges: (1) data heterogeneity: the heterogeneity of users’ attributes and local data necessitates the acquisition of personalized models to improve the performance of federated recommendation; (2) model performance degradation: the privacy-preserving protocol design in the federated recommendation, such as pseudo item labeling and differential privacy, would deteriorate the model performance; (3) communication bottleneck: the standard federated recommendation algorithm can have a high communication overhead. Previous studies have attempted to address these issues, but none have been able to solve them simultaneously. In this article, we propose a novel framework, named PerFedRec++ , to enhance the personalized federated recommendation with self-supervised pre-training. Specifically, we utilize the privacy-preserving mechanism of federated recommender systems to generate two augmented graph views, which are used as contrastive tasks in self-supervised graph learning to pre-train the model. Pre-training enhances the performance of federated models by improving the uniformity of representation learning. Also, by providing a better initial state for federated training, pre-training makes the overall training converge faster, thus alleviating the heavy communication burden. We then construct a collaborative graph to learn the client representation through a federated graph neural network. Based on these learned representations, we cluster users into different user groups and learn personalized models for each cluster. Each user learns a personalized model by combining the global federated model, the cluster-level federated model, and its own fine-tuned local model. Experiments on three real-world datasets show that our proposed method achieves superior performance over existing methods.

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Open Access
TGIRT-seq of Inflammatory Breast Cancer Tumor and Blood Samples Reveals Widespread Enhanced Transcription Impacting RNA Splicing and Intronic RNAs in Plasma.

Inflammatory breast cancer (IBC) is the most aggressive and lethal breast cancer subtype but lacks unequivocal genomic differences or robust biomarkers that differentiate it from non-IBC. Here, Thermostable Group II intron Reverse Transcriptase RNA-sequencing (TGIRT-seq) revealed myriad differences in tumor samples, Peripheral Blood Mononuclear Cells (PBMCs), and plasma that distinguished IBC from non-IBC patients and healthy donors across all tested receptor-based subtypes. These included numerous differentially expressed protein-coding gene and non-coding RNAs in all three sample types, a granulocytic immune response in IBC PBMCs, and over-expression of antisense RNAs, suggesting wide-spread enhanced transcription in both IBC tumors and PBMCs. By using TGIRT-seq to quantitate Intron-exon Depth Ratios (IDRs) and mapping reads to both genome and transcriptome reference sequences, we developed methods for parallel analysis of transcriptional and post-transcriptional gene regulation. This analysis identified numerous differentially and non-differentially expressed protein-coding genes in IBC tumors and PBMCs with high IDRs, the latter reflecting rate-limiting RNA splicing that negatively impacts mRNA production. Mirroring gene expression differences in tumors and PBMCs, over-represented protein-coding gene RNAs in IBC patient plasma were largely intronic RNAs, while those in non-IBC patients and healthy donor plasma were largely mRNA fragments. Potential IBC biomarkers in plasma included T-cell receptor pre-mRNAs and intronic, LINE-1, and antisense RNAs. Our findings provide new insights into IBC and set the stage for monitoring disease progression and response to treatment by liquid biopsy. The methods developed for parallel transcriptional and post-transcriptional gene regulation analysis have potentially broad RNA-seq and clinical applications.

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Open Access