Miracle-dz/UniFAR-FTUs huggingface dataset:
Immigrant Women and Mental Health Care: Findings from an Environmental Scan

Abstract Immigrant women’s mental health is a growing public health policy issue. New immigrant mothers may be particularly vulnerable to less than optimal mental health following childbirth given the cultural and geographic isolation, socioeconomic factors, gender roles, and language difficulties that influence their postpartum experiences. The purpose of this environmental scan was to increase understanding of immigrant women’s perinatal mental health care services within the interior of a western Canadian province. Four interrelated themes emerged to impact postpartum health of immigrant women: (i) community capacity building, (ii) facilitators of mental health support and care, (iii) barriers of mental health promotion and support, and (iv) public policy and postpartum depression. Knowledge gained from this study contributes to healthy public policy and practices that promote mental health and support among immigrant women.
The Implementation Process for Pharmacogenomic Testing for Cancer-Targeted Therapies

Recent advances in genomic medicine have led to the availability of genomic tests that have the potential to improve population health, yet the process for obtaining these tests and getting them reimbursed by insurers has not been described. The objective of this study was to describe the process of ordering pharmacogenomic tests by interviewing providers, patients, and laboratories about cancer-related pharmacogenomic tests. We interviewed patients who were prescribed, providers who prescribed medications that should be guided by pharmacogenomic testing, and individuals from diagnostic laboratories. A total of 10 providers, 16 patients, and eight diagnostic laboratories described logistical and insurance issues relating to ordering and receiving pharmacogenomic tests and medications. We found that the process of ordering pharmacogenomic tests is time-consuming, expensive, and complex. Ordering pharmacogenomic tests is quite different across institutions. Even in the same institution, multiple providers can order the test. Once the provider places the order for the pharmacogenomic test, the laboratory receives the request and usually begins testing without knowing how the test will be paid for. Next, the laboratory completes the pharmacogenomic testing and the results of the tests are reported to providers, patients, or placed directly in the medical record. In conclusion, processes related to ordering and obtaining insurance coverage for pharmacogenomic tests varies greatly across institutions and is time-consuming.
Summer Noontime hmF2 Long-Term Trends Inferred from foF1 and foF2 Ionosonde Observations in Europe

LAbstractPerroneadjusted. Unfortunately required long-term reliable hmF2 observations are absent. A new method has been proposed to solve this problem using available monthly median foF1 and foF2 ground-based ionosonde observations. Such manually scaled observations are available on European stations for a period of 5 solar cycles. Summer (June) daytime foF1 observations are used to retrieve: exospheric temperature Tex, neutral composition ([O], [O2], [N2]) and the total solar EUV flux with $\lambda < 1050\overset{\circ}{\text{A}}$. Fitting with vertical plasma drift W (the only unknown parameter) calculated foF2 to the observed one the height of F2-layer maximum, hmF2 may be found. Such calculations have been done using Sodankylä and Juliusruh foF1 and foF2 observations for the (1958–2017) period. Two methods were used to remove solar and geomagnetic activity effects from the retrieved hmF2 long-term variations: i) by a normalization with the Shubin hmF2 monthly median model and b) using a regression with an $index=F_{10.7}^{\alpha}+Ap^{\beta}$, where $\alpha$ and $\beta$ are fitted parameters. Both methods give negative statistically significant (at 99% confidence level) trends hmF2 but with different magnitudes: ∼ 0.7% per decade at Juliusruh and ∼ 2% per decade at Sodankylä. Over four decades (the period of cooling due to the CO2 concentration increase) this gives a decrease in hmF2 of ∼ 8 km at Juliusruh and ∼ 25 km at Sodankylä. Both estimates are larger than expected under a 20% increase in the CO2 abundance. Possible mechanisms are discussed.
How Powerful are Graph Neural Networks?

Graph Neural Networks (GNNs) are an effective framework for representation learning of graphs. GNNs follow a neighborhood aggregation scheme, where the representation vector of a node is computed by recursively aggregating and transforming representation vectors of its neighboring nodes. Many GNN variants have been proposed and have achieved state-of-the-art results on both node and graph classification tasks. However, despite GNNs revolutionizing graph representation learning, there is limited understanding of their representational properties and limitations. Here, we present a theoretical framework for analyzing the expressive power of GNNs to capture different graph structures. Our results characterize the discriminative power of popular GNN variants, such as Graph Convolutional Networks and GraphSAGE, and show that they cannot learn to distinguish certain simple graph structures. We then develop a simple architecture that is provably the most expressive among the class of GNNs and is as powerful as the Weisfeiler-Lehman graph isomorphism test. We empirically validate our theoretical findings on a number of graph classification benchmarks, and demonstrate that our model achieves state-of-the-art performance.
Comparative tissue distribution and depuration characteristics of copper nanoparticles and soluble copper in rainbow trout (Oncorhynchus mykiss)

The continuously growing number of products containing nanoparticles (NPs) makes their presence in the environment inevitable, and given the well‐known toxicity of dissolved metals, concerns regarding the toxicity of metal‐based NPs have been raised. Whether metal‐based NPs present similar or different toxicological effects compared with metal salts is an emerging field. In the present study, rainbow trout were intraperitoneally injected with CuSO4 or copper NPs (CuNPs) to investigate tissue distribution and depuration characteristics. Fish injected with Cu showed an initial accumulation of Cu in the liver, kidney, gills, intestine, and carcass. The Cu concentration in the liver of CuNP‐injected fish increased over time. It appears as though CuNPs accumulated in the liver at a greater rate than they were excreted. In livers of fish injected with CuSO4, the Cu concentration appeared to increase and reach an equilibrium, suggesting that copper was accumulated and excreted at the same rate. The possibility that CuNPs can accumulate at a higher rate than it is excreted in the liver warrants further investigation. The present study demonstrates the possibility of dietary uptake of CuNPs because elevated Cu concentrations were observed in carcass, gills, kidney, and intestine of fish gavaged with CuNPs. In conclusion, the results suggest that dietary CuNPs are taken up by the gut and preferentially accumulate in the liver. Environ Toxicol Chem 2019;38:80–89. © 2018 SETAC
The Lifetime Medical Spending of Retirees

Retirees face considerable medical expenses during their remaining lives. Model simulations suggest that although a large amount of that spending can be predicted ? based on attributes such as income, health, and marital status ? there remains significant dispersion. Households with heads who turned seventy in 1992 will incur $122,000 in medical spending on average, including out-of-pocket expenditures and Medicaid payments. But the top 5 percent of households will incur more than $300,000 in such spending. The level and dispersion of this spending diminish only slowly with age.
Enzymatic Inactivation of Oxysterols in Breast Tumor Cells Constraints Metastasis Formation by Reprogramming the Metastatic Lung Microenvironment

Recent evidence indicates that immune cells contribute to the formation of tumor metastases by regulating the pre-metastatic niche. Whether tumor-derived factors involved in primary tumor formation play a role in metastasis formation is poorly characterized. Oxysterols act as endogenous regulators of lipid metabolism through the interaction with the nuclear Liver X Receptors-(LXR)α and LXRβ. In the context of tumor development, they establish a pro-tumor environment by dampening antitumor immune responses, and by recruiting pro-angiogenic and immunosuppressive neutrophils. However, the ability of LXR/oxysterol axis to promote tumor invasion and metastasis by exploiting immune cells, is still up to debate. In this study we provide evidence that oxysterols participate in the primary growth of orthotopically implanted 4T1 breast tumors by establishing a tumor-promoting microenvironment. Furthermore, we show that oxysterols are involved in the metastatic spread of 4T1 breast tumors, since their enzymatic inactivation mediated by the sulfotransferase 2B1b, reduces the number of metastatic cells in the lungs of tumor-bearing mice. Finally, we provide evidence that oxysterols support the metastatic cascade by modifying the lung metastatic niche, particularly allowing the recruitment of tumor-promoting neutrophils. These results identify a possible new metastatic pathway to target in order to prevent metastasis formation in breast cancer patients.
Sport-Related Concussion: Knowledge and Reporting Behaviors Among Collegiate Club-Sport Athletes.

CONTEXT: Previous literature on sport-related concussion (SRC) knowledge and reporting behaviors has been limited to high school and National Collegiate Athletic Association collegiate athletes; however, knowledge regarding collegiate club-sport athletes is limited. OBJECTIVE: To determine the level of SRC knowledge and reporting behaviors among collegiate club-sport athletes and to investigate differences between athletes in traditional and nontraditional sports. DESIGN: Cross-sectional study. SETTING: Survey. PATIENTS OR OTHER PARTICIPANTS: A total of 410 athletes (247 males, 163 females) involved in traditional (n = 244) or nontraditional (n = 165) collegiate club sports. MAIN OUTCOME MEASURE(S): The survey consisted of demographics, recognition of SRC signs and symptoms, general SRC knowledge, and reasons why athletes would not report SRCs. The independent variable was sport type. Sport-related concussion signs and symptoms and general knowledge were assessed by the frequency of correct answers to SRC signs and symptoms and general knowledge questions. Sport-related concussion-reporting behavior frequencies were evaluated by asking participants to indicate reasons why they did not or would not report an SRC. RESULTS: The SRC signs and symptoms knowledge score was 23.01 ± 3.19 and general SRC knowledge score was 36.49 ± 4.16 (maximal score = 43). No differences were present for SRC signs and symptoms knowledge ( F1,408 = 1.99, P = .16) or general SRC knowledge ( F1,408 = 3.28, P = .07) between athletes in traditional and nontraditional collegiate club sports. The most common reason for not reporting an SRC was not recognizing it as a serious injury (n = 165, 40.3%). Chi-square tests demonstrated significant relationships between sport type and 5 reasons for not reporting an SRC. CONCLUSIONS: The participants displayed moderate to high levels of knowledge of SRCs but indicated they had failed to or would fail to report SRCs for a variety of reasons. The lack of sports medicine coverage and disconnect between knowledge and injury recognition may make collegiate club-sport athletes more likely to participate while concussed.
Becoming more or less mature? The decline of self-control in middle childhood.

OBJECTIVE This study examined the developmental change in self-control and its association with daily stressful events during middle childhood, as well as the factors that contribute to individual differences in the trajectory of self-control. METHOD A community sample of 302 Singaporean children (42% female, 69% Chinese) and their parents were recruited when the children were age 7. Follow-up assessments were made when the children were ages 8, 9, and 11. Developmental changes were examined using latent growth and autoregressive cross-lagged models. RESULTS Self-control showed a normative decline over time, and this trajectory was associated with an increase in daily stressful events. There was partial evidence for a reciprocal relationship between self-control and daily stressful events over time. Moreover, the child temperament dimension of effortful control (assessed at age 7) mitigated the decline in self-control, whereas low socioeconomic status predicted lower initial levels of self-control. CONCLUSIONS This study advances current understanding on the developmental change in self-control during middle childhood, as well as the factors that shape the direction and magnitude of this change.
METCAM/MUC18 Decreases the Malignant Propensity of Human Ovarian Carcinoma Cells

METCAM/MUC18 is an integral membrane cell adhesion molecule (CAM) in the Ig-like gene super-family. It can carry out common functions of CAMs which is to perform intercellular interactions and interaction of cell with extracellular matrix in tumor microenvironment, to interact with various signaling pathways and to regulate general behaviors of cells. We and other two groups previously suggested that METCAM/MUC18 probably be utilized as a biomarker for predicting the malignant tendency of clinical ovarian carcinomas, since METAM/MUC18 expression appears to associate with the carcinoma at advanced stages. It has been further postulated to promote the malignant tendency of the carcinoma. However, our recent research results appear to support the conclusion that the above positive correlation is fortuitous; actually METCAM/MUC18 acts as a tumor and metastasis suppressor for the ovarian carcinoma cells. We also suggest possible mechanisms in the METCAM/MUC18-mediated early tumor development and metastasis of ovarian carcinoma. Moreover, we propose to employ recombinant METCAM/MUC18 proteins and other derived products as therapeutic agents to treat the ovarian cancer patients by decreasing the malignant potential of ovarian carcinoma.
Evaluating the temporal and situational consistency of personality traits in adult dairy cattle

Recent research suggests that personality, defined as consistent individual behavioral variation, in farm animals could be an important factor when considering their health, welfare, and productivity. However, behavioral tests are often performed individually and they might not reflect the behavioral differences manifested in every-day social environments. Furthermore, the contextual and longer-term temporal stability of personality traits have rarely been investigated in adult dairy cattle. In this study, we tested three groups of lactating Holstein cows (40 cows) using an individual arena test and a novel object test in groups to measure the contextual stability of behavior. Among the recorded individual test parameters, we used seven in the final analysis, which were determined by a systematic parameter reduction procedure. We found positive correlations between novel object contact duration in the group test and individual test parameters object contact duration (Rs = 0.361, P = 0.026) and movement duration (Rs = 0.336, P = 0.039). Both tests were repeated 6 months later to investigate their temporal stability whereby four individual test parameters were repeatable. There was no consistency in the group test results for 25 cows tested twice, possibly due to group composition changes. Furthermore, based on the seven individual test parameters, two personality traits (activity/exploration and boldness) were identified by principal component analysis. We found a positive association between the first and second tests for activity/exploration (Rs = 0.334, P = 0.058) and for boldness (Rs = 0.491, P = 0.004). Our results support the multidimensional nature of personality in adult dairy cattle and they indicate a link between behavior in individual and within-group situations. The lack of stability according to the group test results implies that group companions might have a stronger influence on individual behavior than expected. We suggest repeating the within-group behavioral measurements to study the relationship between the social environment and the manifestation of personality traits in every-day situations.
Model-Based Design Methodology for Early Evaluation of Real-time and Embedded Constraints

When developing Real-Time and Embedded Systems (RTES), different types of constraints should be considered in specification, modeling, architectural design and system implementation. In most cases, these constraints describe timing, precedence or resource restriction. Correct description and evaluation of these complex information along of RTES design are directly related to their reliability, safety and quality. In this research, a methodology to describe real-time and embedded information in requirements, functional, logical and technical viewpoints is briefly presented, as well as an approach to analyze the annotated constraints. MARTE constraints have been consistently applied in designing models and implemented at lower abstraction models. Here, pseudo automated generation of timing, precedence and resources constraints is performed from the graphical models to the final source code models. Therefore, the proposed approach has a great value to RTES design once it has traced constraints along of the architectural design and it also presents a manner to check if constraints are being reached in accordance with early design description.
Integration of GPS, Monocular Vision, and High Definition (HD) Map for Accurate Vehicle Localization

Self-localization is a crucial task for intelligent vehicles. Existing localization methods usually require high-cost IMU (Inertial Measurement Unit) or expensive LiDAR sensors (e.g., Velodyne HDL-64E). In this paper, we propose a low-cost yet accurate localization solution by using a custom-level GPS receiver and a low-cost camera with the support of HD map. Unlike existing HD map-based methods, which usually requires unique landmarks within the sensed range, the proposed method utilizes common lane lines for vehicle localization by using Kalman filter to fuse the GPS, monocular vision, and HD map for more accurate vehicle localization. In the Kalman filter framework, the observations consist of two parts. One is the raw GPS coordinate. The other is the lateral distance between the vehicle and the lane, which is computed from the monocular camera. The HD map plays the role of providing reference position information and correlating the local lateral distance from the vision and the GPS coordinates so as to formulate a linear Kalman filter. In the prediction step, we propose using a data-driven motion model rather than a Kinematic model, which is more adaptive and flexible. The proposed method has been tested with both simulation data and real data collected in the field. The results demonstrate that the localization errors from the proposed method are less than half or even one-third of the original GPS positioning errors by using low cost sensors with HD map support. Experimental results also demonstrate that the integration of the proposed method into existing ones can greatly enhance the localization results.
Network performance trade-off in modular data centers with optical spatial division multiplexing

Modular design based on spatial division multiplexing switches is a promising way to improve the capacity and reduce the cabling complexity of data center networks. However, due to the coexistence of mice and elephant flows, in modular data center networks a trade-off between the blocking probability and total throughput arises. In fact, blocking elephant flows would lead to a relevant penalty on the throughput but a small penalty on the blocking probability. In this paper, we investigate the relation between the blocking and throughput in modular data center networks based on optical spatial division multiplexing. We combine the two metrics linearly by a weight factor that prioritizes them relatively. To solve the resource allocation problem, we propose both mixed integer linear programming formulations and close-to-optimal heuristics for three different spatial division multiplexing switching schemes. Simulation results demonstrate that a carefully chosen weight factor is necessary to achieve a proper balance between the blocking probability and throughput for all the schemes.
On Theory for BART

Ensemble learning is a statistical paradigm built on the premise that many weak learners can perform exceptionally well when deployed collectively. The BART method of Chipman et al. (2010) is a prominent example of Bayesian ensemble learning, where each learner is a tree. Due to its impressive performance, BART has received a lot of attention from practitioners. Despite its wide popularity, however, theoretical studies of BART have begun emerging only very recently. Laying the foundations for the theoretical analysis of Bayesian forests, Rockova and van der Pas (2017) showed optimal posterior concentration under conditionally uniform tree priors. These priors deviate from the actual priors implemented in BART. Here, we study the exact BART prior and propose a simple modification so that it also enjoys optimality properties. To this end, we dive into branching process theory. We obtain tail bounds for the distribution of total progeny under heterogeneous Galton-Watson (GW) processes exploiting their connection to random walks. We conclude with a result stating the optimal rate of posterior convergence for BART.
Power-Force-Velocity Profiling of Sprinting Athletes: Methodological and Practical Considerations When Using Timing Gates.

Haugen, TA, Breitschädel, F, and Samozino, P. Power-force-velocity profiling of sprinting athletes: Methodological and practical considerations when using timing gates. J Strength Cond Res XX(X): 000-000, 2018-The aim of this study was to investigate the impact of timing gate setup on mechanical outputs in sprinting athletes. Twenty-five male and female team sport athletes (mean ± SD: 23 ± 4 years, 185 ± 11 cm, 85 ± 13 kg) performed two 40-m sprints with maximal effort. Dual-beamed timing gates covered the entire running course with 5-m intervals. Maximal horizontal force (F0), theoretical maximal velocity (v0), maximal horizontal power (Pmax), force-velocity slope (SFV), maximal ratio of force (RFmax), and index of force application technique (DRF) were computed using a validated biomechanical model and based on 12 varying split time combinations, ranging from 3 to 8 timing checkpoints. When no timing gates were located after the 20-m mark, F0 was overestimated (mean difference, ±90% confidence level: 0.16, ±0.25 to 0.33, ±0.28 N·kg; possibly to likely; small), in turn affecting SFV and DRF by small to moderate effects. Timing setups covering only the first 15 m displayed lower v0 than setups covering the first 30-40 m of the sprints (0.21, ±0.34 to 0.25, ±0.34 m·s; likely; small). Moreover, poorer reliability values were observed for timing setups covering the first 15-20 m vs. the first 25-40 m of the sprints. In conclusion, the present findings showed that the entire acceleration phase should be covered by timing gates to ensure acceptably valid and reliable sprint mechanical outputs. However, only 3 timing checkpoints (i.e., 10, 20, and 30 m) are required to ensure valid and reliable outputs for team sport athletes.