‘Yellowface’: An Exploration of Hollywood’s Film History with the Yellow Race

This study explores the history behind Hollywood’s relationship with the depiction of Asians and Asian Americans in film. Through tracking examples of Hollywood’s use of yellowface and whitewashing in movies from the 1920s into modern day, the study explores the historical and financial reasons behind controversial casting decisions, and how they affect the perceived image of Asians in America. In exploring the quantitative aspect, three films created within the last five years that were known to have participated in whitewashing were chosen and analyzed critically and financially. The data from these three movies were then used in comparison to Crazy Rich Asians (2018), a recently released film starring an international Asian cast in order to analyze whether casting controversies can affect the financial box office success of a film

Associations between social media usage and alcohol use among youths and young adults; findings from Understanding Society

Background and Aims: Given the decline in alcohol consumption and rise in technological use among young people, there is a need to investigate whether technology use might influence how young people drink. This study explores how social media use and changes in social media use over time could affect alcohol use among youths. Design: The UK Household Longitudinal Study (Understanding Society). Setting: United Kingdom. Participants: Participants aged 10–15 (n = 4093) and 16–19 (n = 2689) from the youth and main survey interviewed in 2011–13, and followed-up in 2014–16 (aged 10–15 n = 2588, aged 16–19 n = 1057). Measurements: Self-reported social media usage on an average day (no profile/non-daily/less than an hour/1–3/4+ hours use), drinking frequency (never/one to three times/weekly) and binge drinking frequency (never/one to two/three/more than three times) in the past month. Covariates included sex, age, educational status, household income, urban/rural, number of friends and life satisfaction. Findings: Among 10–15-year-olds, compared with those who used social media for less than an hour, those with no profile [odds ratio (OR) = 0.41, 95% confidence interval (CI) = 0.25–0.67] and non-daily users (OR = 0.49, 95% CI = 0.33–0.72) had a lower risk of drinking at least monthly, whereas those with 1–3 hours’ use (OR = 1.44, 95% CI = 1.14–1.81) and 4+ hours’ use (OR = 2.08, 1.47–2.95) had a greater risk. Among participants aged 16–19, a lower risk of binge drinking three or more times per month was found for those with no profile [relative risk ratios (RRR) = 0.29, 95% CI = 0.17–0.48] and a higher risk for those with 4+ hours’ use (RRR = 1.47, 95% CI = 1.03–2.09). Longitudinally, among 10–15-year-olds, those who had increased their social media usage versus no change were more likely to have increased their drinking frequency (OR = 1.89, 95% CI = 1.45–2.46). Some social media use at baseline (rather than none) was predictive of increased drink and binge drinking frequency over time among youths and young adults. Conclusions: Heavier social media use was associated with more frequent alcohol consumption among young people in the United Kingdom

Analysis of radial variations in material properties and matrix composition of chondrocyte-seeded agarose hydrogel constructs

SummaryObjectiveTo examine the radial variations in engineered cartilage that may result due to radial fluid flow during dynamic compressive loading. This was done by evaluating the annuli and the central cores of the constructs separately.MethodChondrocyte-seeded agarose hydrogels were grown in free-swelling and dynamic, unconfined loading cultures for 42 days. After mechanical testing, constructs were allowed to recover for 1–2h, the central 3mm cores removed, and the cores and annuli were retested separately. Histological and/or biochemical analyses for DNA, glycosaminoglycan (GAG), collagen, type I collagen, type II collagen, and elastin were performed. Multiple regression analysis was used to determine the correlation between the biochemical and material properties of the constructs.ResultsThe cores and annuli of chondrocyte-seeded constructs did not exhibit significant differences in material properties and GAG content. Annuli possessed greater DNA and collagen content over time in culture than cores. Dynamic loading enhanced the material properties and GAG content of cores, annuli, and whole constructs relative to free-swelling controls, but it did not alter the radial variations compared to free-swelling culture.ConclusionSurprisingly, the benefits of dynamic loading on tissue properties extended through the entire construct and did not result in radial variations as measured via the coring technique in this study. Nutrient transport limitations and the formation of a fibrous capsule on the periphery may explain the differences in DNA and collagen between cores and annuli. No differences in GAG distribution may be due to sufficient chemical signals and building blocks for GAG synthesis throughout the constructs

Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data

Reducing the quantity of annotations required for supervised training is vital when labels are scarce and costly. This reduction is particularly important for semantic segmentation tasks involving 3D datasets, which are often significantly smaller and more challenging to annotate than their image-based counterparts. Self-supervised pre-training on unlabelled data is one way to reduce the amount of manual annotations needed. Previous work has focused on pre-training with point clouds exclusively. While useful, this approach often requires two or more registered views. In the present work, we combine image and point cloud modalities by first learning self-supervised image features and then using these features to train a 3D model. By incorporating image data, which is often included in many 3D datasets, our pre-training method only requires a single scan of a scene and can be applied to cases where localization information is unavailable. We demonstrate that our pre-training approach, despite using single scans, achieves comparable performance to other multi-scan, point cloud-only methods.Comment: In Proceedings of the Conference on Robots and Vision (CRV'23), Montreal, Canada, Jun. 6-8, 2023. arXiv admin note: substantial text overlap with arXiv:2211.1180

Anxiety in Williams Syndrome: The role of social behaviour, executive functions and change over time

Anxiety is a prevalent mental health issue for individuals with Williams syndrome (WS). Relatively little is known about the developmental course of anxiety, or how it links with core features of WS, namely social and executive functioning (EF). In this study, parent-reports of anxiety were compared across a 4-year period (N = 17), and links between anxiety, social and EF were explored from concurrent parent-reports (N = 26). Results indicated that high anxiety persisted over time, and anxiety was related to impairments in both social and executive functioning. Importantly, results indicated that impairments in EFs may drive the links between anxiety and social functioning. This timely investigation provides new insights into anxiety in WS and highlights potential areas for intervention

Differential GFP Expression Patterns Induced by Different Heavy Metals in Tg(hsp70:gfp) Transgenic Medaka (Oryzias latipes)

Heat shock protein 70 (Hsp70) is one of the most widely used biomarker for monitoring environment perturbations in biological systems. To facilitate the analysis of hsp70 expression as a biomarker, we generated a Tg(hsp70:gfp) transgenic medaka line in which green fluorescence protein (GFP) reporter gene was driven by the medaka hsp70 promoter. Here, we characterized Tg(hsp70:gfp) medaka for inducible GFP expression by seven environment-relevant heavy metals, including mercury, arsenic, lead, cadmium, copper, chromium, and zinc. We found that four of them (mercury, arsenic, lead, and cadmium) induced GFP expression in multiple and different organs. In general, the liver, kidney, gut, and skin are among the most frequent organs to show induced GFP expression. In contrast, no detectable GFP induction was observed to copper, chromium, or zinc, indicating that the transgenic line was not responsive to all heavy metals. RT-qPCR determination of hsp70 mRNA showed similar induction and non-induction by these metals, which also correlated with the levels of metal uptake in medaka exposed to these metals. Our observations suggested that these heavy metals have different mechanisms of toxicity and/or differential bioaccumulation in various organs; different patterns of GFP expression induced by different metals may be used to determine or exclude metals in water samples tested. Furthermore, we also tested several non-metal toxicants such as bisphenol A, 2,3,7,8-tetrachlorodibenzo-p-dioxin, 4-introphenol, and lindane; none of them induced significant GFP expression in Tg(hsp70:gfp) medaka, further suggesting that the inducibility of Tg(hsp70:gfp) for GFP expression is specific to a subset of heavy metals

Mainland Chinese Tourists’ Expectations, Perceived Performance of and Satisfaction towards Shopping Malls in Hong Kong

Tourists from mainland China constitute one of the world's biggest and fastest-growing travel markets. The Hong Kong Tourism Board expects the frequency of the mainland Chinese tourists to grow steadily. One of the beneficiaries of this phenomenon is Hong Kong’s shopping malls. However, understanding of tourists from mainland China’s expectations from, perceived performance of and satisfaction with the shopping malls’ attributes in Hong Kong is inadequate. This study intends to fill this important gap. A survey questionnaire was employed for data collection. The main results reveal the mainland Chinese tourists’ levels of satisfaction, indifference and dissatisfaction as well as the relationship between shopping malls’ attributes and customer satisfaction

Urinary Biomarkers: Mitigating Diagnostic Delays of Bladder Cancer in the COVID-19 era

© 2020, Springer Nature Limited. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1038/s41585-020-00419-zThe COVID-19 pandemic has resulted in a substantial increase in waiting times for cystoscopies, prompting concerns of delayed diagnoses and substandard surveillance of bladder cancer. Expanding the role of urinary biomarkers in diagnostic and surveillance pathways could be a strategy to address this problem, and several novel biomarkers have shown promise for this purpose.Peer reviewe

Blind Biological Sequence Denoising with Self-Supervised Set Learning

Biological sequence analysis relies on the ability to denoise the imprecise output of sequencing platforms. We consider a common setting where a short sequence is read out repeatedly using a high-throughput long-read platform to generate multiple subreads, or noisy observations of the same sequence. Denoising these subreads with alignment-based approaches often fails when too few subreads are available or error rates are too high. In this paper, we propose a novel method for blindly denoising sets of sequences without directly observing clean source sequence labels. Our method, Self-Supervised Set Learning (SSSL), gathers subreads together in an embedding space and estimates a single set embedding as the midpoint of the subreads in both the latent and sequence spaces. This set embedding represents the "average" of the subreads and can be decoded into a prediction of the clean sequence. In experiments on simulated long-read DNA data, SSSL methods denoise small reads of $\leq 6$ subreads with 17% fewer errors and large reads of $>6$ subreads with 8% fewer errors compared to the best baseline. On a real dataset of antibody sequences, SSSL improves over baselines on two self-supervised metrics, with a significant improvement on difficult small reads that comprise over 60% of the test set. By accurately denoising these reads, SSSL promises to better realize the potential of high-throughput DNA sequencing data for downstream scientific applications

The importance of female entrepeneurship

Žensko poduzetništvo je prepoznato kao važan element gospodarskog rasta i učinkovita metoda postizanja demokratskog društva utemeljenog na osnaživanju žena jednakosti spolova. Nužno je osigurati poslove za veći broj žena kako bi se izgradilo poduzetničko okruženje zasnovano na jednakim prilikama za oba spola. Stopa zaposlenosti žena u Turskoj iznosi 26%, a ženskog poduzetništva 6%, što je ispod prosjeka u odnosu na EU i OECD. Poduzetništvo osnažuje žene i dovodi do pozitivnih promjena u gospodarstvu i društvu. Žensko poduzetništvo ima moć transformacije gospodarstva i društva budući da stvara nova radna mjesta i nove sektore te donosi inovativnost, kreativnost i raznolikost. Osim toga, ženske nevladinih udruga osnažuju poduzetnice na mnogim poljima. One s jedne strane trebaju osnažiti poduzetnice, a s druge strane promijeniti društvo ukidajući tradicionalnu patrijarhalnu obiteljsku strukturu. Poduzetnice u Turskoj se, međutim, još uvijek suočavaju s preprekama. Usprkos činjenici da žensko poduzetništvo ima značajan potencijal, potrebno je podrobno analizirati prijetnje i prilike s kojima se poduzetnice susreću kako bi se moglo strateški ulagati u ovaj potencijal. Temeljem SWOT analize ključne preporuke su sljedeće: kreditiranje, bolja organizacija čuvanja djece i potreba statističkih podataka. Sve ovo će pomoći ostvariti dugoročni cilj održivosti.Women Entrepreneurship (WE) has been recognized as an important source of economic growth and as an effective method to achieve a democratic society based on women’s empowerment and gender equality values. It is imperative to provide jobs to more women to build an entrepreneurial society centered on gender equal opportunity. Female employment rate in Turkey is 26%, and female entrepreneurship is 6%, which are fairly below EU and OECD averages. Thus, entrepreneurship is effective in empowering women, actively and creatively while bringing positive transformation to a country’s economy and society. The main strength of WE is its transformative power over the economy and society as it brings job creation potential, new sectoral opportunities, innovation, creativity and diversity to the economic arena. Additionally, the power of women NGOs is very crucial to empower women entrepreneurs on many fronts. They should be utilized to empower women entrepreneurs on one hand, and change the society by breaking the male-dominant traditional family structures on the other. However, there are still barriers in front of WE in Turkey. Despite the fact that WE has a significant potential, the threats and opportunities in front of WE needs a comprehensive analysis to invest strategically on this potential. Based on the SWOT Analysis, the key policy recommendations, incorporate: credit schemes, better child-care facilities and the need for statistical data. All these would help to achieve the long-term goals of sustainability