Miracle-dz/UniFAR-FTUs huggingface dataset:
A suspensory way of life: Integrating locomotion, postures, limb movements, and forces in two‐toed sloths Choloepus didactylus (Megalonychidae, Folivora, Pilosa)

Over the last decade, we have learned much about the anatomy, evolutionary history, and biomechanics of the extant sloths. However, most of this study has involved studying sloths in controlled conditions, and few studies have explored how these animals are behaving in a naturalistic setting. In this study, we integrate positional activities in naturalistic conditions with kinematic and kinetic observations collected on a simulated runway to best capture the biomechanical behavior of Linnaeus's two-toed sloths. We confirm that the dominant positional behaviors consist of hanging below the support using a combination of forelimbs and hindlimbs, and walking quadrupedally below the branches. The majority of these behaviors occur on horizontal substrates that are approximately 5-10 cm in diameter. The kinematics of suspensory walking observed both in the naturalistic settings and on simulated arboreal runways are dominated by movement of the proximal limb elements, while distal limb elements tend to show little excursion. Joint kinematics are similar between the naturalistic setting and the simulated runway, but movements of the shoulder and hip tend to be exaggerated while moving in simulated conditions. Kinetic patterns of the two-toed sloth can be explained almost entirely by considering them as an inverted linked strut. However, medially directed forces toward the substrate were more frequent than expected in the forelimb, which may help sloths maintain a better "grip" on the substrate. This study serves as a model of how to gain a comprehensive understanding of the functional-adaptive profile of a particular species.
Misconceptions on the use of MR-Egger regression and the evaluation of the InSIDE assumption

1. Davey Smith G, Ebrahim S. ‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol 2003;32:1–22. 2. Burgess S, Timpson NJ, Ebrahim S, Davey Smith G. Mendelian randomization: where are we now and where are we going? Int J Epidemiol 2015;44:379–88. 3. Glymour MM, Tchetgen EJT, Robins JM. Credible Mendelian randomization studies: approaches for evaluating the instrumental variable assumptions. Am J Epidemiol 2012;175:332–39. 4. Solovieff N, Cotsapas C, Lee PH, Purcell SM, Smoller JW. Pleiotropy in complex traits: challenges and strategies. Nat Rev Genet 2013;14:483–95. 5. Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol 2015;44:512–25. 6. Tyrrell J, Jones SE, Beaumont R et al. Height, body mass index, and socioeconomic status: Mendelian randomisation study in UK biobank. BMJ 2016;352:i582. 7. Bowden J, Del Greco M, Minelli C et al. A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization. Stat Med 2017;36:1783–802. 8. Bowden J, Davey Smith G, Haycock PC, Burgess S. Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol 2016;40:304–14. 9. Burgess S, Thompson SG. Interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol 2017;32:377–89. 10. van Kippersluis H, Rietveld CA. Pleiotropy-robust Mendelian randomization. Int J Epidemiol 2017, February 22. doi:10.1093/ ije/dyx002. [Epub ahead of print].
Interventions on Adherence to Treatment in Children With Severe Asthma: A Systematic Review

Introduction: Poor adherence to inhaled medication is a commonly encountered problem among children with asthma. However, there is a relatively paucity of data regarding the adherence of children with severe asthma, as well as the merit of any interventions to improve this adherence. Objectives: The aim of this systematic review was to identify the available literature on the rate of adherence and the influence of interventions in improving adherence to controller inhaled medication, in children with severe asthma. Methods: A systematic literature search was performed in MEDLINE/PubMed, Cochrane Library, and Scopus databases. Studies were included in the present review if their target population were children and/or adolescents with severe asthma and presented data on medication adherence before and after a given intervention. Results: A total of seven studies, conducted in USA, Canada, and UK, and published between 2012 and 2018, met the inclusion criteria. Adherence to controller medication was assessed via either objective or subjective measures (questionnaires), or a combination of them. Interventions included communication during pediatric visits and audio-taped medical visits, individualized care programs, electronic monitoring devices, interactive website and peak–flow prediction with feedback. Adherence rates for the baseline (before intervention) or for the control groups ranged from 28 to 67%. In general, there was a significant improvement of adherence after intervention with rates increasing to 49–81%. Conclusion: Adherence rate in children with severe asthma is not satisfactory but it can be improved after proper interventions. Nevertheless, the heterogeneity among adherence assessment tools, and the variety of interventions, in combination with the lack of studies focusing on severe asthma, highlight the need for further research in this field.
Integration Capacity of Human Induced Pluripotent Stem Cell-Derived Cartilage

New cell and tissue sources are needed for the regenerative treatment of articular cartilage damage. Human induced pluripotent stem cells (hiPSCs) are an abundant cell source due to their self-renewal capacity. Hyaline cartilage tissue particles derived from hiPSCs (hiPS-Carts), 1–3 mm in diameter, are one candidate source that can be used for transplantation. When transplanted to fill the defects of articular cartilage, hiPS-Carts form a repair tissue by integrating with each other and with adjacent host tissue. In this study, we analyzed the integration capacity using an in vitro model and found that hiPS-Carts spontaneously integrate with each other in vitro. hiPS-Carts consist of cartilage at the center and perichondrium-like membrane that wraps around the cartilage. The integration started at the perichondrium-like membrane at around 1 week. Then, the integration progressed to the cartilage within 4–8 weeks. RNA sequencing analysis identified a higher expression of FGF18 in the perichondrium-like membrane in hiPS-Carts compared with the central cartilage. The addition of FGF18 to the model accelerated the integration of hiPS-Carts, whereas the addition of a FGFR inhibitor inhibited it. These results suggest that FGF18 secreted from the perichondrium-like membrane plays a role in the integration of hiPS-Carts. Understanding the integration mechanism of hiPS-Carts is expected to contribute to the realization of regenerative treatment for patients with articular cartilage damage. Impact Statement Cartilage particles derived from human induced pluripotent stem cells (hiPS-Carts) are one candidate source for transplants for treatment of articular cartilage damage. This study shows that hiPS-Carts integrate with each other in an in vitro model and analyzed the course of the integration. The integration starts at the perichondrium-like membrane at around 1 week and then progresses to the central cartilage within 4–8 weeks. The results indicate that FGF18 secreted from the perichondrium-like membrane accelerates the initial step of integration. The findings contribute to understanding how hiPS-Carts form repair tissue and provide clue to accelerate healing after transplantation.
Standardization and harmonization of autoimmune diagnostics

The aim of standardization and harmonization of laboratory diagnostics is to provide accurate and comparable test results for an individual patient at any time, any place. The process of standardization and harmonization should cover all phases of a diagnostic test: pre-analytical (test request, patient identification and sample collection), analytical, and post-analytical (interpretation of the test result) [1]. Although challenging, roadmaps on how to achieve standardization and harmonization have been drawn [2–4]. In general, these roadmaps apply to laboratory tests in any type of field. Antibody-specificity testing, however, adds an additional layer of complexity, as each individual person produces its own set of unique polymorphic antibodies. In the context of autoimmune disease, each patient produces a spectrum of polyclonal antibodies that are unique in structure, selectivity, affinity and avidity for the autoantigen [5]. In the immunology section of this special issue, several aspects on harmonization/standardization of autoimmune testing are covered: international initiatives, antinuclear antibody (ANA) testing, anti-neutrophil cytoplasmic antibody (ANCA) testing, rheumatoid factor (RF) testing and thyroid antibody testing. Before we go over each of these aspects, we will first embark on the basic question: what do we measure and what are the pitfalls?
Social impact of participatory health research: collaborative non-linear processes of knowledge mobilization

Abstract Social impact, defined as an effect on society, culture, quality of life, community services, or public policy beyond academia, is widely considered as a relevant requirement for scientific research, especially in the field of health care. Traditionally, in health research, the process of knowledge transfer is rather linear and one-sided and has not recognized and integrated the expertise of practitioners and those who use services. This can lead to discrimination or disqualification of knowledge and epistemic injustice. Epistemic injustice is a situation wherein certain kinds of knowers and knowledge are not taken seriously into account to define a situation. The purpose of our article is to explore how health researchers can achieve social impact for a wide audience, involving them in a non-linear process of joint learning on urgent problems recognized by the various stakeholders in public health. In participatory health research impact is not preordained by one group of stakeholders, but the result of a process of reflection and dialog with multiple stakeholders on what counts as valuable outcomes. This knowledge mobilization and winding pathway embarked upon during such research have the potential for impact along the way as opposed to the expectation that impact will occur merely at the end of a research project. We will discuss and illustrate the merits of taking a negotiated, discursive and flexible pathway in the area of community-based health promotion.
28GHz Phased Array Transceiver in 28nm Bulk CMOS for 5G Prototype User Equipment and Base Stations

A 28GHz phased array transceiver with RF/IF conversion in 28nm bulk CMOS supports up to 12 antenna elements each on 2 MIMO layers. The transceiver is targeted for small antenna arrays in mobile user equipment, implements an AMPM compensated PA, passive 3b phase shifters and supports tiling to extend the antenna array size for prototype basestation applications. Radiated results are presented for both UE and basestation size arrays.
Militarization fails to enhance police safety or reduce crime but may harm police reputation

Significance National debates over heavy-handed police tactics, including so-called “militarized” policing, are often framed as a trade-off between civil liberties and public safety, but the costs and benefits of controversial police practices remain unclear due to data limitations. Using an array of administrative data sources and original experiments I show that militarized “special weapons and tactics” (SWAT) teams are more often deployed in communities of color, and—contrary to claims by police administrators—provide no detectable benefits in terms of officer safety or violent crime reduction, on average. However, survey experiments suggest that seeing militarized police in news reports erodes opinion toward law enforcement. Taken together, these findings suggest that curtailing militarized policing may be in the interest of both police and citizens. The increasingly visible presence of heavily armed police units in American communities has stoked widespread concern over the militarization of local law enforcement. Advocates claim militarized policing protects officers and deters violent crime, while critics allege these tactics are targeted at racial minorities and erode trust in law enforcement. Using a rare geocoded census of SWAT team deployments from Maryland, I show that militarized police units are more often deployed in communities with large shares of African American residents, even after controlling for local crime rates. Further, using nationwide panel data on local police militarization, I demonstrate that militarized policing fails to enhance officer safety or reduce local crime. Finally, using survey experiments—one of which includes a large oversample of African American respondents—I show that seeing militarized police in news reports may diminish police reputation in the mass public. In the case of militarized policing, the results suggest that the often-cited trade-off between public safety and civil liberties is a false choice.
Epstein-Barr virus-encoded microRNA BART7 downregulates major histocompatibility complex class I chain-related peptide A and reduces the cytotoxicity of natural killer cells to nasopharyngeal carcinoma

Evasion from natural killer (NK) cell surveillance enables cancer to proliferate and spread at the early stages. NK cells mediate specific cytolysis by activation of the triggering receptors on their cell surface, of which the communication between natural killer group 2, member D (NKG2D) and major histocompatibility complex class I chain-related peptide A (MICA) is a key regulatory axis. It has been indicated that cancer cells can reduce the surface expression of MICA, which thereby reduces the cytotoxicity of NK cells. In nasopharyngeal carcinoma (NPC), however, the underlying mechanism remains unclear. The present study indicated that MICA expression in NPC was regulated by TGFβ1. Furthermore, the human MICA gene was demonstrated to contain the c-Myc binding site in the promoter region. Notably, the results suggested that TGFβ1 upregulated MICA expression by promoting c-Myc expression. Additionally, the findings demosntrated that TGFβ1 expression in NPC was negatively controlled by Epstein-Barr virus-encoded microRNA BART7 (ebv-miR-BART7). In ebv-miR-BART7-expressing NPC, the TGFβ1/c-Myc/MICA regulatory axis was significantly inhibited. Notably, functional analysis indicated that NPC cells expressing ebv-miR-BART7 were less sensitive to the cytolysis mediated by NK cells. In conclusion, the present results revealed that ebv-miR-BART7-expressing NPC may impair NK cells recognition and activity, which suggests that targeting ebv-miR-BART7 may be a useful therapeutic strategy in NPC immunotherapy.
Roads affect the spatial structure of butterfly communities in grassland patches

Roads may have an important negative effect on animal dispersal rate and mortality and thus the functioning of local populations. However, road verges may be surrogate habitats for invertebrates. This creates a conservation dilemma around the impact of roads on invertebrates. Further, the effect of roads on invertebrates is much less understood than that on vertebrates. We studied the effect of roads on butterflies by surveying abundance, species richness and composition, and mortality in ten grassland patches along high-traffic roads (∼50–100 vehicles per hour) and ten reference grassland patches next to unpaved roads with very little traffic (<1 vehicle per day) in southern Poland. Five 200-m transects parallel to the road were established in every grassland patch: at a road verge, 25 m from the verge, in the patch interior, and 25 m from the boundary between the grassland and field and at the grassland-arable field boundary. Moreover, one 200-m transect located on a road was established to collect roadkilled butterflies. The butterfly species richness but not abundance was slightly higher in grassland patches adjacent to roads than in reference grassland patches. Butterfly species composition in grasslands adjacent to roads differed from that in the reference patches. Proximity of a road increased variability in butterfly abundances within grassland patches. Grassland patches bordering roads had higher butterfly abundance and variation in species composition in some parts of the grassland patch than in other parts. These effects were not found in reference grassland patches, where butterfly species and abundance were more homogenously distributed in a patch. Plant species composition did not explain butterfly species. However, variance partitioning revealed that the presence of a road explained the highest proportion of variation in butterfly species composition, followed by plant species richness and abundance in grassland patches. Road mortality was low, and the number of roadkilled butterflies was less than 5% of that of all live butterflies. Nevertheless, the number and species composition of roadkilled butterflies were well explained by the butterfly communities living in road verges but not by total butterfly community structure in grassland patches. This study is the first to show that butterfly assemblages are altered by roads. These results indicate that: (1) grassland patches located near roads are at least as good habitats for butterflies as reference grassland patches are, (2) roads create a gradient of local environmental conditions that increases variation in the abundance of certain species and perhaps increases total species richness in grassland patches located along roads, and (3) the impact of roads on butterflies is at least partially independent of the effect of plants on butterflies. Furthermore, (4) the direct impact of road mortality is probably spatially limited to butterflies living in close proximity to roads.
Association of Breast and Ovarian Cancers With Predisposition Genes Identified by Large-Scale Sequencing

Importance Since the discovery of BRCA1 and BRCA2, multiple high- and moderate-penetrance genes have been reported as risk factors for hereditary breast cancer, ovarian cancer, or both; however, it is unclear whether these findings represent the complete genetic landscape of these cancers. Systematic investigation of the genetic contributions to breast and ovarian cancers is needed to confirm these findings and explore potentially new associations. Objective To confirm reported and identify additional predisposition genes for breast or ovarian cancer. Design, Setting, and Participants In this sample of 11 416 patients with clinical features of breast cancer, ovarian cancer, or both who were referred for genetic testing from 1200 hospitals and clinics across the United States and of 3988 controls who were referred for genetic testing for noncancer conditions between 2014 and 2015, whole-exome sequencing was conducted and gene-phenotype associations were examined. Case-control analyses using the Genome Aggregation Database as a set of reference controls were also conducted. Main Outcomes and Measures Breast cancer risk associated with pathogenic variants among 625 cancer predisposition genes; association of identified predisposition breast or ovarian cancer genes with the breast cancer subtypes invasive ductal, invasive lobular, hormone receptor–positive, hormone receptor–negative, and male, and with early-onset disease. Results Of 9639 patients with breast cancer, 3960 (41.1%) were early-onset cases (⩽45 years at diagnosis) and 123 (1.3%) were male, with men having an older age at diagnosis than women (mean [SD] age, 61.8 [12.8] vs 48.6 [11.4] years). Of 2051 women with ovarian cancer, 445 (21.7%) received a diagnosis at 45 years or younger. Enrichment of pathogenic variants were identified in 4 non-BRCA genes associated with breast cancer risk: ATM (odds ratio [OR], 2.97; 95% CI, 1.67-5.68), CHEK2 (OR, 2.19; 95% CI, 1.40-3.56), PALB2 (OR, 5.53; 95% CI, 2.24-17.65), and MSH6 (OR, 2.59; 95% CI, 1.35-5.44). Increased risk for ovarian cancer was associated with 4 genes: MSH6 (OR, 4.16; 95% CI, 1.95-9.47), RAD51C (OR, not estimable; false-discovery rate–corrected P = .004), TP53 (OR, 18.50; 95% CI, 2.56-808.10), and ATM (OR, 2.85; 95% CI, 1.30-6.32). Neither the MRN complex genes nor CDKN2A was associated with increased breast or ovarian cancer risk. The findings also do not support previously reported breast cancer associations with the ovarian cancer susceptibility genes BRIP1, RAD51C, and RAD51D, or mismatch repair genes MSH2 and PMS2. Conclusions and Relevance The results of this large-scale exome sequencing of patients and controls shed light on both well-established and controversial non-BRCA predisposition gene associations with breast or ovarian cancer reported to date and may implicate additional breast or ovarian cancer susceptibility gene candidates involved in DNA repair and genomic maintenance.
Benchmarking Automatic Machine Learning Frameworks

AutoML serves as the bridge between varying levels of expertise when designing machine learning systems and expedites the data science process. A wide range of techniques is taken to address this, however there does not exist an objective comparison of these techniques. We present a benchmark of current open source AutoML solutions using open source datasets. We test auto-sklearn, TPOT, auto_ml, and H2O's AutoML solution against a compiled set of regression and classification datasets sourced from OpenML and find that auto-sklearn performs the best across classification datasets and TPOT performs the best across regression datasets.
Selective BRDFs for High Fidelity Rendering

High fidelity rendering systems rely on accurate material representations to produce a realistic visual appearance. However, these accurate models can be slow to evaluate. This work presents an approach for approximating these high accuracy reflectance models with faster, less complicated functions in regions of an image which possess low visual importance. A subjective rating experiment was conducted in which thirty participants were asked to assess the similarity of scenes rendered with low quality reflectance models, a high quality data-driven model and saliency based hybrids of those images. In two out of the three scenes that were evaluated significant differences were not found between the hybrid and reference images. This implies that in less visually salient regions of an image computational gains can be achieved by approximating computationally expensive materials with simpler analytic models.