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The Additive Manufacturing Benchmark (AM-Bench) test series was established to provide rigorous measurement test data for validating additive manufacturing (AM) simulations for a broad range of AM technologies and material systems. AM-Bench includes extensive in situ and ex situ measurements, simulation challenges for the AM modeling community, and a corresponding conference series. In 2018, the first round of AM-Bench measurements and the first AM-Bench conference were completed, focusing primarily upon laser powder bed fusion (LPBF) processing of metals, and both LPBF and material extrusion processing of polymers. In all, 46 blind modeling simulations were submitted by the international AM community in comparison with the in situ and ex situ measurements. Analysis of these submissions provides valuable insight into existing AM modeling capabilities. The AM-Bench data are permanently archived and freely accessible online.

We present a visual computing framework for analysing moral rhetoric on social media around controversial topics. Using Moral Foundation Theory, we propose a methodology for deconstructing and visualizing the when, where and who behind each of these moral dimensions as expressed in microblog data. We characterize the design of this framework, developed in collaboration with experts from language processing, communications and causal inference. Our approach integrates microblog data with multiple sources of geospatial and temporal data, and leverages unsupervised machine learning (generalized additive models) to support collaborative hypothesis discovery and testing. We implement this approach in a system named MOTIV. We illustrate this approach on two problems, one related to Stay‐at‐home policies during the COVID‐19 pandemic, and the other related to the Black Lives Matter movement. Through detailed case studies and discussions with collaborators, we identify several insights discovered regarding the different drivers of moral sentiment in social media. Our results indicate that this visual approach supports rapid, collaborative hypothesis testing, and can help give insights into the underlying moral values behind controversial political issues. Supplemental Material: https://osf.io/ygkzn/?view_only=6310c0886938415391d977b8aae8b749 [ABSTRACT FROM AUTHOR]

BackgroundHigh-risk human papillomavirus (H-HPV) infection is linked to cervical neoplasia but its role in detecting cervical glandular lesions (GLs) is unclear. Carbonic anhydrase IX (CA-IX) is a hypoxic biomarker that is highly expressed in neoplastic cervical GLs. The diagnostic utility of these biomarkers was evaluated by the Gynecologic Oncology Group in Japanese women with a cytological diagnosis of atypical glandular cells.MethodsImmunostaining was used to detect CA-IX in a conventional Pap smear. Immunoreactivity of CA-IX was interpreted by a panel of pathologists blinded to the histological diagnosis. Polymerase chain reaction was used to detect H-HPV in a liquid-based cytology specimen.ResultsSignificant cervical lesions (SCLs), defined as cervical intraepithelial neoplasia (CIN2, CIN3), adenocarcinoma in situ or invasive carcinoma, were observed in 37/88 (42%) of women. CA-IX testing alone (n=88) had a sensitivity of 89, 100 or 73% for SCLs, GLs or significant squamous lesions (SLs), respectively, with a false negative rate (FNR) of 14%. Testing for H-HPV (n=84) had a sensitivity of 65, 53 or 80% for SCLs, GLs or SLs, respectively, with a FNR of 22%. The combination of CA-IX and H-HPV testing had a sensitivity of 97, 100 or 93% for SCLs, GLs or SLs, respectively, with a FNR of 5%. Among eight H-HPV-negative GLs, six (75%) had a diagnosis of lobular endocervical glandular hyperplasia (LEGH).ConclusionThe combination of CA-IX and HPV testing improved the diagnostic accuracy. The low rate of H-HPV positivity in the GLs was associated with coexisting LEGH independent of H-HPV.

Endocrine disrupting chemicals are widely distributed in our environment. Humans are exposed to these compounds not only through their occupations, but also through dietary consumption and exposure to contaminated water, personal care products and textiles. Chemicals that are persistent in the body and in our environment include dioxins and polychlorinated biphenyls. Non-persistent chemicals including bisphenol A, phthalates and parabens are equally as important because they are ubiquitous in our environment. Heavy metals, including lead and cadmium, can also have endocrine disrupting properties. Although difficult to study due to their variety of sources of exposures and mechanisms of action, these chemicals have been associated with early menopause, increased frequency of vasomotor symptoms, altered steroid hormone levels and markers of diminished ovarian reserve. Understanding the impacts of these exposures is important given the potential for epigenetic modification, which can alter gene function and result in multi-generational effects. This review summarizes findings in humans and animals or cell-based models from the past decade of research. Continued research is needed to assess the effects of mixtures of chemicals, chronic exposures and new compounds that are continuously being developed as replacements for toxic chemicals that are being phased out. [ABSTRACT FROM AUTHOR]