Post/Feminist Impulses: Neoliberal Ideology and Class Politics in Annie Wang’s \u3cem\u3eThe People’s Republic of Desire\u3c/em\u3e (2006)

This paper critically examines post/feminist imperatives in relation to neoliberal ethos and class dynamics in The People’s Republic of Desire (2006) by transnational Chinese women writer, Annie Wang (b. 1972). While the novel positions itself as a transnational satire of the Western-styled consumptive furor in post-socialist China, its textual focus on a class-based commodity culture demands a critical consideration of its neoliberal investments. In probing Wang’s text, this paper adopts a feminist reading that attends to how neoliberal ideology and class politics operate together to corroborate a postfeminist stance. The awareness of feminist ethics notwithstanding, the text’s overall postfeminist disposition and the attendant class purview work to depoliticize its expressed intent. The tension between feminism and postfeminism eventually translates into that between the local and the global. That the discursive polarization of China and the West is implicitly inscribed in the denouement also registers the limits of the novel’s transnational engagement

KDM4B is a master regulator of the estrogen receptor signalling cascade

The importance of the estrogen receptor (ER) in breast cancer (BCa) development makes it a prominent target for therapy. Current treatments, however, have limited effectiveness, and hence the definition of new therapeutic targets is vital. The ER is a member of the nuclear hormone receptor superfamily of transcription factors that requires co-regulator proteins for complete regulation. Emerging evidence has implicated a small number of histone methyltransferase (HMT) and histone demethylase (HDM) enzymes as regulators of ER signalling, including the histone H3 lysine 9 tri-/di-methyl HDM enzyme KDM4B. Two recent independent reports have demonstrated that KDM4B is required for ER-mediated transcription and depletion of the enzyme attenuates BCa growth in vitro and in vivo. Here we show that KDM4B has an overarching regulatory role in the ER signalling cascade by controlling expression of the ER and FOXA1 genes, two critical components for maintenance of the estrogen-dependent phenotype. KDM4B interacts with the transcription factor GATA-3 in BCa cell lines and directly co-activates GATA-3 activity in reporter-based experiments. Moreover, we reveal that KDM4B recruitment and demethylation of repressive H3K9me3 marks within upstream regulatory regions of the ER gene permits binding of GATA-3 to drive receptor expression. Ultimately, our findings confirm the importance of KDM4B within the ER signalling cascade and as a potential therapeutic target for BCa treatment

Story telling in bilingual Urdu−Cantonese ethnic minority children: Macrostructure and its relation to microstructural linguistic skills

IntroductionThe ability to produce a well-structured, coherent and informative narrative requires the integration of lexical and grammatical skills at different levels of complexity. Investigating how narrative macrostructure competence is predicted by microstructural linguistic skills is conceptually enlightening; yet there have been very few, if any, studies documenting the associations between macrostructure and microstructure in both languages of the same bilinguals. In this paper we attempt to address this research gap and report on the first empirical study of Urdu-Cantonese bilingual children’s narrative abilities, bringing in data from a new language pair that is currently understudied.MethodsTwenty-four bilinguals (mean age = 9.17 years) acquiring Urdu as first, family and heritage minority language, and Cantonese as second, school and majority language were assessed via Multilingual Assessment Instrument for Narratives (MAIN). We examined these children’s macrostructural competence and its relations to microstructural skills in both languages (Urdu and Cantonese). Three macrostructure components were scored as response variables: Story Structure (SS), Story Complexity (SC), Internal State Terms (IST). Four microstructural measures were scored as predictor variables: number of different words (NDW), mean length of Communication Units (MLCU), proportion of grammatical Communication Units (Gproportion), proportion of correct connectives linking the major episodic elements (Cproportion).ResultsIn regression analyses, NDW emerged consistently as a positive predictor of SS, SC and IST in both languages. MLCU and NDW were positive predictors of SS in the stronger L1, but NDW was the only positive predictor of SS in L2. By contrast, NDW and an index of syntactic competence (MLCU in L1, but Cproportion in L2) were significant or close-to-significant positive predictors of SC in both languages. NDW was the only positive predictor of IST in both languages. These findings suggested that the relationships between narrative macrostructure and specific microstructural abilities could manifest both similarly and differently between L1 and L2.DiscussionWe discuss the findings by considering the unique nature of each macrostructure component and how each component might be related to specific microstructural linguistic skills. We suggest directions for further research and discuss how the current findings bring deeper implications for educators and clinicians in assessment, pedagogy, and intervention

Decline in Clostridium difficile-associated disease rates in Singapore public hospitals, 2006 to 2008

<p>Abstract</p> <p>Background</p> <p><it>Clostridium difficile </it>is the major cause of pseudomembranous colitis associated with antibiotic use, and the spread of the hypervirulent epidemic ribotype 027/NAP-1 strain across hospitals worldwide has re-focused attention on this nosocomial pathogen. The overall incidence and trend of <it>C. difficile</it>-associated disease (CDAD) in Singapore is unknown, and a surveillance program to determine these via formal laboratory-based reporting was established.</p> <p>Findings</p> <p>Laboratory and pharmacy data were collated from one tertiary and two secondary hospitals on a quarterly basis between 2006 and 2008. All hospitals tested for <it>C. difficile </it>using Immunocard Toxins A&B (Meridian Bioscience Inc., Cincinnati, OH) during this period. Duplicate positive <it>C. difficile </it>results within a 14-day period were removed. The CDAD results were compared with trends in hospital-based prescription of major classes of antibiotics.</p> <p>Overall CDAD incidence-density decreased from 5.16 (95%CI: 4.73 - 5.62) cases per 10,000 inpatient-days in 2006 to 2.99 (95%CI: 2.67 to 3.33) cases per 10,000 inpatient-days in 2008 (<it>p </it>< 0.001), while overall rates for <it>C. difficile </it>testing increased significantly (<it>p </it>< 0.001) within the same period. These trends were mirrored at the individual hospital level. Evaluation of antibiotic prescription data at all hospitals showed increasing use of carbapenems and fluoroquinolones, while cephalosporin and clindamycin prescription remained stable.</p> <p>Conclusions</p> <p>Our results demonstrate a real decline of CDAD rates in three large local hospitals. The cause is unclear and is not associated with improved infection control measures or reduction in antibiotic prescription. Lack of <it>C. difficile </it>stool cultures as part of routine testing precluded determination of the decline of a major clone as a potential explanation. For more accurate epidemiological trending of CDAD and early detection of epidemic clones, data collection will have to be expanded and resources set in place for reference laboratory culture and typing.</p

Detection of FLT3 Oncogene Mutations in Acute Myeloid Leukemia Using Conformation Sensitive Gel Electrophoresis

FLT3 (fms-related tyrosine kinase 3) is a receptor tyrosine kinase class III that is expressed on by early hematopoietic progenitor cells and plays an important role in hematopoietic stem cell proliferation, differentiation and survival. FLT3 is also expressed on leukemia blasts in most cases of acute myeloid leukemia (AML). In order to determine the frequency of FLT3 oncogene mutations, we analyzed genomic DNA of adult de novo acute myeloid leukemia (AML). Polymerase chain reaction (PCR) and conformation-sensitive gel electrophoresis (CSGE) were used for FLT3 exons 11, 14, and 15, followed by direct DNA sequencing. Two different types of functionally important FLT 3 mutations have been identified. Those mutations were unique to patients with inv(16), t(15:17) or t(8;21) and comprised fifteen cases with internal tandem duplication (ITD) mutation in the juxtamembrane domain and eleven cases with point mutation (exon 20, Asp835Tyr). The high frequency of the flt3 proto-oncogene mutations in acute myeloid leukemia AML suggests a key role for the receptor function. The association of FLT3 mutations with chromosomal abnormalities invites speculation as to the link between these two changes in the pathogenesis of acute myeloid leukemiaAML. Furthermore, CSGE method has shown to be a rapid and sensitive screening method for detection of nucleotide alteration in FLT3 gene. Finally, this study reports, for the first time in Saudi Arabia, mutations in the human FLT3 gene in acute myeloid leukemia AML patients

Adapting mindfulness-based Cognitive Therapy (MBCT) for Chinese international students experiencing loneliness : a qualitative, participatory action research project complemented with imagery

In the 2020-2021 academic year,157,065 Chinese International Students (CIS) enrolled in universities throughout the UK, making up 26% of the international student (INTL) population (HESA, 2021). Research on the common stressors faced by INTL has identified an increased vulnerability to feeling lonely. According to Weiss (1973), students may experience both personal loneliness due to the loss of contact with families and social loneliness due to the loss of networks. In recent years, a third variation, cultural loneliness, has been proposed, which is triggered by the absence of a preferred cultural and/or linguistic environment (Sawir et al, 2007). Although research suggests CIS are at higher risk of suffering from the adverse effects of the cultural disparities which exist between their home and host culture (Ching et al., 2017), limited research has focused on understanding what loneliness means to CIS and how they experience this feeling. MBCT, as an intervention that addresses maladaptive social cognition, is effective in reducing loneliness in university students (Teoh et al., 2021; Zhang et al., 2018). However, whether or how well it works for CIS has not been studied. Using a Participatory Action Research (PAR) approach, we aim to understand how Chinese International Students experience and understand loneliness in UK universities and explore how MBCT can be culturally adapted to meet the needs of CIS

Texture Segregation By Visual Cortex: Perceptual Grouping, Attention, and Learning

A neural model is proposed of how laminar interactions in the visual cortex may learn and recognize object texture and form boundaries. The model brings together five interacting processes: region-based texture classification, contour-based boundary grouping, surface filling-in, spatial attention, and object attention. The model shows how form boundaries can determine regions in which surface filling-in occurs; how surface filling-in interacts with spatial attention to generate a form-fitting distribution of spatial attention, or attentional shroud; how the strongest shroud can inhibit weaker shrouds; and how the winning shroud regulates learning of texture categories, and thus the allocation of object attention. The model can discriminate abutted textures with blurred boundaries and is sensitive to texture boundary attributes like discontinuities in orientation and texture flow curvature as well as to relative orientations of texture elements. The model quantitatively fits a large set of human psychophysical data on orientation-based textures. Object boundar output of the model is compared to computer vision algorithms using a set of human segmented photographic images. The model classifies textures and suppresses noise using a multiple scale oriented filterbank and a distributed Adaptive Resonance Theory (dART) classifier. The matched signal between the bottom-up texture inputs and top-down learned texture categories is utilized by oriented competitive and cooperative grouping processes to generate texture boundaries that control surface filling-in and spatial attention. Topdown modulatory attentional feedback from boundary and surface representations to early filtering stages results in enhanced texture boundaries and more efficient learning of texture within attended surface regions. Surface-based attention also provides a self-supervising training signal for learning new textures. Importance of the surface-based attentional feedback in texture learning and classification is tested using a set of textured images from the Brodatz micro-texture album. Benchmark studies vary from 95.1% to 98.6% with attention, and from 90.6% to 93.2% without attention.Air Force Office of Scientific Research (F49620-01-1-0397, F49620-01-1-0423); National Science Foundation (SBE-0354378); Office of Naval Research (N00014-01-1-0624

WFS1-Associated Optic Neuropathy : Genotype-Phenotype Correlations and Disease Progression

center dot OBJECTIVE: To evaluate the pattern of vision loss and genotype-phenotype correlations in WFS1-associated optic neuropathy (WON).center dot DESIGN: Multicenter cohort study. center dot METHODS: The study involved 37 patients with WON carrying pathogenic or candidate pathogenic WFS1 variants. Genetic and clinical data were retrieved from the medical records. Thirteen patients underwent additional comprehensive ophthalmologic assessment. Deep phenotyping involved visual electrophysiology and advanced psychophysical testing with a complementary metabolomic study. Main Outcome Measures: WFS1 variants, functional and structural optic nerve and retinal parameters, and metabolomic profile.center dot RESULTS: Twenty-two recessive and 5 dominant WFS1 variants were identified. Four variants were novel. All WFS1 variants caused loss of macular retinal ganglion cells (RGCs) as assessed by optical coherence tomography (OCT) and visual electrophysiology. Advanced psychophysical testing indicated involvement of the major RGC subpopulations. Modeling of vision loss showed an accelerated rate of deterioration with increasing age. Dominant WFS1 variants were associated with abnormal reflectivity of the outer plexiform layer (OPL) on OCT imaging. The dominant variants tended to cause less severe vision loss compared with recessive WFS1 variants, which resulted in more variable phenotypes ranging from isolated WON to severe multisystem disease depending on the WFS1 alleles. The metabolomic profile included markers seen in other neurodegenerative diseases and type 1 diabetes mellitus. center dot CONCLUSIONS: WFS1 variants result in heterogenous phenotypes influenced by the mode of inheritance and the disease-causing alleles. Biallelic WFS1 variants cause more variable, but generally more severe, vision and RGC loss compared with heterozygous variants. Abnormal cleftlike lamination of the OPL is a distinctive OCT feature that strongly points toward dominant WON. (Am J Ophthalmol 2022;241: 927. (c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ))Peer reviewe

ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders

Our approach, which we call Embeddings for Language/Image-aligned X-Rays, or ELIXR, leverages a language-aligned image encoder combined or grafted onto a fixed LLM, PaLM 2, to perform a broad range of tasks. We train this lightweight adapter architecture using images paired with corresponding free-text radiology reports from the MIMIC-CXR dataset. ELIXR achieved state-of-the-art performance on zero-shot chest X-ray (CXR) classification (mean AUC of 0.850 across 13 findings), data-efficient CXR classification (mean AUCs of 0.893 and 0.898 across five findings (atelectasis, cardiomegaly, consolidation, pleural effusion, and pulmonary edema) for 1% (~2,200 images) and 10% (~22,000 images) training data), and semantic search (0.76 normalized discounted cumulative gain (NDCG) across nineteen queries, including perfect retrieval on twelve of them). Compared to existing data-efficient methods including supervised contrastive learning (SupCon), ELIXR required two orders of magnitude less data to reach similar performance. ELIXR also showed promise on CXR vision-language tasks, demonstrating overall accuracies of 58.7% and 62.5% on visual question answering and report quality assurance tasks, respectively. These results suggest that ELIXR is a robust and versatile approach to CXR AI