Miracle-dz/UniFAR-FTUs huggingface dataset:
Parent–Child Relationships and Preschoolers' Social-Emotional Functioning Among Low-Income Families: The Moderating Role of Parental Nativity

The demographic composition in the United States has undergone shifts due to increasing immigration. This may change the way we think about families and children in the United States, and it is important to include immigrant families in parenting research. This study examined the relations between parent–child relationships and preschool-aged children's social-emotional functioning in the context of low-income families in the United States. We also explored how the relations between the two were moderated by parental nativity, specifically focusing on parents born in the United States and those who were born in Mexico and emigrated to the United States. The sample included 199 preschool children enrolled in Educare/Head Start programs and their parents, with 134 of the parents born in the United States and 65 born in Mexico. Parents reported parent–child closeness and conflict. Teachers reported children's social-emotional strengths and behavioral concerns. Assessors evaluated children's executive function and behavior regulation using structured tasks. The results showed that more parent–child conflict was related to more behavioral concerns and lower levels of executive function among children with U.S.-born parents but not among those with Mexico-born parents. The study suggests that the role of parenting in child social-emotional functioning may vary depending on cultural backgrounds among low-income families.
Optimization of an in silico cardiac cell model for proarrhythmia risk assessment

The Comprehensive in vitro Proarrhythmia Assay (CiPA) is a regulatory paradigm proposed to replace the ICH S7B and E14 guidelines for assessing drug-induced proarrhythmia. Under CiPA, drug effects on multiple cardiac ion channels will be measured in vitro and integrated into an in silico model of the adult human ventricular cell, based on the O'Hara-Rudy (ORd) model. However, the ORd model does not accurately represent certain ionic currents known to be critical in triggering drug-induced arrhythmias, such as the late sodium current (INaL). The goal of the present study is to systematically assess and improve the simulation of the main depolarizing and repolarizing ionic currents (the inward rectifying potassium currents, L-type calcium current and INaL) in the ORd model. We present a new model with scaled conductances calculated by fitting to O'Hara et al. in vitro human cardiomyocyte channel blocking experiments using a genetic algorithm, which improves discrepancies of the original model. The modified model particularly improves the effect of INaL block on action potential prolongation, an important determinant of proarrhythmia risk in the context of CiPA.
PERFECT SIMULATION OF SPATIAL POINT PROCESSES USING DOMINATED COUPLING FROM THE PAST WITH APPLICATION TO A MULTISCALE AREA-INTERACTION POINT PROCESS

We consider perfect simulation algorithms for locally stable point processes based on dominated coupling from the past. A new version of the algorithm is developed which is feasible for processes which are neither purely attractive nor purely repulsive. Such processes include multiscale area-interaction processes, which are capable of modelling point patterns whose clustering structure varies across scales. We prove correctness of the algorithm and existence of these processes. An application to the redwood seedlings data is discussed.
IT Services Reference Catalog

Information Technology Infrastructure Library (ITIL) has become the best and most adopted practice framework to implement IT Service Management (ITSM) within organizations. Service Catalog is a fundamental basis in ITIL adoption because it is the source of information about services. However, organizations often fail in service identification activity, compromising the creation of the service catalog. Moreover, ITIL states how to develop a service catalog nor offers a standard one. In this paper, we propose an IT Service Reference Catalog (ITSRC) as a basis to start creating a Service Catalog or as a reference to adapt. We evaluated the proposal in real-world settings using Design Science Research methodology, and positive results were achieved.
Factors Affecting Acceptance and Use of Moodle: An Empirical Study Based on TAM

Advancements in web technologies and the increased influence of the World Wide Web are leading to new and innovative ways of learning. New e-learning system technologies and services enable activities that allow users to be active learners, actively participating in the on-line learning process. When an elearning system with new technologies and services is presented, it needs to be adopted by its users. The acceptance and use of an e-learning system can be influenced by different factors. The objective of this research is to examine the factors that have an impact on students’ perceptions about the use and acceptance of Moodle an open source e-learning system. In this study, the technology acceptance model (TAM) was used as an underlying theory. The data, collected from 235 students, was used to test the hypothesized research model. A data analysis was performed using structural equation modelling (SEM). The results of the analysis have revealed that the actual use of Moodle depends on two main factors: behavioural intentions and attitudes toward using Moodle. Perceived usefulness was found as the strongest and the most important predictor of attitudes toward using Moodle. Several practical and theoretical implications of the present study are discussed at the end of the paper.
A Nonoverlapping Domain Decomposition Method for Incompressible Stokes Equations with Continuous Pressures

A nonoverlapping domain decomposition algorithm is proposed to solve the linear system arising from mixed finite element approximation of incompressible Stokes equations. A continuous finite element space for the pressure is used. In the proposed algorithm, Lagrange multipliers are used to enforce continuity of the velocity component across the subdomain boundary. The continuity of the pressure component is enforced in the primal form, i.e., neighboring subdomains share the same pressure degrees of freedom on the subdomain interface and no Lagrange multipliers are needed. After eliminating all velocity variables and the independent subdomain interior parts of the pressures, a symmetric positive semidefinite linear system for the subdomain boundary pressures and the Lagrange multipliers is formed and solved by a preconditioned conjugate gradient method. A lumped preconditioner is studied and the condition number bound of the preconditioned operator is proved to be independent of the number of subdomains fo.
Evaluation of Left Ventricular Ejection Fractions in Breast Cancer Patients Undergoing Long-Term Trastuzumab Treatment

Background The aim of this study was to assess the long-term clinical tolerance and cardiac safety during trastuzumab treatment for patients diagnosed as having breast cancer with human epidermal growth factor receptor 2 (HER2) overexpression. Material/Methods A total 105 female cases diagnosed as having breast cancer with high expression of Her2, were treated with trastuzumab (T). All of them underwent electrocardiography monitoring in the process of T treatment. Left ventricular ejection fractions (LVEFs) were estimated using echocardiography before the T treatment and every 3 months. General clinical data and above parameters were collected and reviewed as analysis. Results The mean value of LVEFs with baseline was higher than those at other time points. All LVEFs were more than 50% during the course of trastuzumab treatment. The decline scope ≥15% of LVEFs ranged from 2 months to 16 months, and the ratios were counted for 3.1% at 2 months, 4.3% at 6 months, 3.8% at 10 months, and 5.4% at 16 months. Furthermore, a larger decrease of LVEF during the course occurred mainly in the patients with cumulative dose of A >300 mg/m2, without CPD and 16-month duration of T treatment. There was a strong correlation between cumulative dose of A, cyto/cardio-protection drugs (CPD), duration of T, and the change of LVEF (P=0.82, P=0.744, and P=0.717, respectively), which indicated that 3 factors may be associated with the change in LVEF (P<0.05). Conclusions The LVEF in patients with trastuzumab treatment was significantly decreased, which may be seen as a favorable benefit-risk ratio for patients undergoing long-term trastuzumab treatment.
Therapeutic potential of n-3 polyunsaturated fatty acids in disease.

PURPOSE The potential therapeutic benefits of supplementation with n-3 polyunsaturated fatty acids (PUFAs) in various diseases are reviewed, and the antiinflammatory actions, activity, and potential drug interactions and adverse effects of n-3 PUFAs are discussed. SUMMARY Fish oils are an excellent source of long-chain n-3 PUFAs, such as eicosapentaenoic acid and docosahexaenoic acid. After consumption, n-3 PUFAs can be incorporated into cell membranes and reduce the amount of arachidonic acid available for the synthesis of proinflammatory eicosanoids (e.g., prostaglandins, leukotrienes). Likewise, n-3 PUFAs can also reduce the production of inflammatory cytokines, such as tumor necrosis factor alpha, interleukin-1, and interleukin-6. Considerable research has been conducted to evaluate the potential therapeutic effects of fish oils in numerous conditions, including arthritis, coronary artery disease, inflammatory bowel disease, asthma, and sepsis, all of which have inflammation as a key component of their pathology. Additional investigations into the use of supplementation with fish oils in patients with neural injury, cancer, ocular diseases, and critical illness have recently been conducted. The most commonly reported adverse effects of fish oil supplements are a fishy aftertaste and gastrointestinal upset. When recommending an n-3 PUFA, clinicians should be aware of any possible adverse effect or drug interaction that, although not necessarily clinically significant, may occur, especially for patients who may be susceptible to increased bleeding (e.g., patients taking warfarin). CONCLUSION The n-3 PUFAs have been shown to be efficacious in treating and preventing various diseases. The wide variation in dosages and formulations used in studies makes it difficult to recommend dosages for specific treatment goals.
T-stage of non-small cell lung cancer directly invading an adjacent lobe.

OBJECTIVES Non-small cell lung cancer (NSCLC) invading the visceral pleura is classified as T2 stage, and NSCLC invading the chest wall, diaphragm, phrenic nerve, mediastinal pleura or parietal pleura is classified as T3. But, there is no definition as to whether tumours directly invading an adjacent lobe beyond the fissure should be classified as T2 or T3. We assessed whether these tumours should be classified as T2 or T3. METHODS We evaluated patients with NSCLC who, between 1992 and 2009, underwent complete resection and were pathologically diagnosed as T2 or T3 according to the 7th edition of the TNM classification. To evaluate the effect of the T-stage only, the patients with nodal- and distant metastasis were excluded. RESULTS Among 837 patients, 499 (59.6%) were pathologically staged as T2a, 91 (10.9%) as T2b and 201 as T3 (24.0%). Forty-six (5.5%) patients had NSCLC with a direct invasion of the adjacent lobe. The mean age (P = 0.102) and sex distribution (P = 0.084) were not statistically significant, but there were more adenocarcinomas in the T2 group than that in the T3 group. The overall survival of the patients with adjacent lobe invasion was statistically worse than that of T2 patients (P = 0.042), but was not statistically different from that of T3 (P = 0.368) patients. There was no difference between the disease-free survival of patients with adjacent lobe invasion and T3 patients (P = 0.306), but disease-free survival of the patients with adjacent lobe invasion was worse than that of T2 (P = 0.003) patients. CONCLUSIONS Considering that the overall survival and disease-free survival of patients with direct adjacent lobe invasion are similar to those of T3, NSCLC with direct invasion to the adjacent lobe should be classified as T3 rather than T2.
Perspectives on the viscoelasticity and flow behavior of entangled linear and branched polymers

We briefly review the recent advances in the rheology of entangled polymers and identify emerging research trends and outstanding challenges, especially with respect to branched polymers. Emphasis is placed on the role of well-characterized model systems, as well as the synergy of synthesis-characterization, rheometry and modeling/simulations. The theoretical framework for understanding the observed linear and nonlinear rheological phenomena is the tube model, which is critically assessed in view of its successes and shortcomings, and alternative approaches are briefly discussed. Finally, intriguing experimental findings and controversial issues that merit consistent explanation, such as shear banding instabilities, multiple stress overshoots in transient simple shear and enhanced steady-state elongational viscosity in polymer solutions, are discussed, and future directions such as branch point dynamics and anisotropic monomeric friction are outlined.
Calculating the Expected Loss of Diversity of Selection Schemes

This paper concerns a measure of selective pressure, called filoss of diversity, fl that denotes the proportion of unselected individuals during the selection phase. We probabilistically calculate the expected value and variance of loss of diversity in tournament selection, truncation selection, linear ranking selection, and exponential ranking selection. From numerical results, we observe that in tournament selection, many more individuals are expected to be lost than with Blickle and Thiele's static estimate. We also observe that tournament and exponential ranking schemes potentially bring about nearly equivalent selection behaviors but have different types of control parameters.
Risk score to stratify children with suspected serious bacterial infection: observational cohort study

Objectives To derive and validate a clinical score to risk stratify children presenting with acute infection. Study design and participants Observational cohort study of children presenting with suspected infection to an emergency department in England. Detailed data were collected prospectively on presenting clinical features, laboratory investigations and outcome. Clinical predictors of serious bacterial infection (SBI) were explored in multivariate logistic regression models using part of the dataset, each model was then validated in an independent part of the dataset, and the best model was chosen for derivation of a clinical risk score for SBI. The ability of this score to risk stratify children with SBI was then assessed in the entire dataset. Main outcome measure Final diagnosis of SBI according to criteria defined by the Royal College of Paediatrics and Child Health working group on Recognising Acute Illness in Children. Results Data from 1951 children were analysed. 74 (3.8%) had SBI. The sensitivity of individual clinical signs was poor, although some were highly specific for SBI. A score was derived with reasonable ability to discriminate SBI (area under the receiver operator characteristics curve 0.77, 95% CI 0.71 to 0.83) and risk stratify children with suspected SBI. Conclusions This study demonstrates the potential utility of a clinical score in risk stratifying children with suspected SBI. Further work should aim to validate the score and its impact on clinical decision making in different settings, and ideally incorporate it into a broader management algorithm including additional investigations to further stratify a child's risk.
Role of Litter Turnover in Soil Quality in Tropical Degraded Lands of Colombia

Land degradation is the result of soil mismanagement that reduces soil productivity and environmental services. An alternative to improve degraded soils through reactivation of biogeochemical nutrient cycles (via litter production and decomposition) is the establishment of active restoration models using new forestry plantations, agroforestry, and silvopastoral systems. On the other hand, passive models of restoration consist of promoting natural successional processes with native plants. The objective in this review is to discuss the role of litter production and decomposition as a key strategy to reactivate biogeochemical nutrient cycles and thus improve soil quality in degraded land of the tropics. For this purpose the results of different projects of land restoration in Colombia are presented based on the dynamics of litter production, nutrient content, and decomposition. The results indicate that in only 6–13 years it is possible to detect soil properties improvements due to litter fall and decomposition. Despite that, low soil nutrient availability, particularly of N and P, seems to be major constraint to reclamation of these fragile ecosystems.
Feature Selection Based on Class-Dependent Densities for High-Dimensional Binary Data

Data and knowledge management systems employ feature selection algorithms for removing irrelevant, redundant, and noisy information from the data. There are two well-known approaches to feature selection, feature ranking (FR) and feature subset selection (FSS). In this paper, we propose a new FR algorithm, termed as class-dependent density-based feature elimination (CDFE), for binary data sets. Our theoretical analysis shows that CDFE computes the weights, used for feature ranking, more efficiently as compared to the mutual information measure. Effectively, rankings obtained from both the two criteria approximate each other. CDFE uses a filtrapper approach to select a final subset. For data sets having hundreds of thousands of features, feature selection with FR algorithms is simple and computationally efficient but redundant information may not be removed. On the other hand, FSS algorithms analyze the data for redundancies but may become computationally impractical on high-dimensional data sets. We address these problems by combining FR and FSS methods in the form of a two-stage feature selection algorithm. When introduced as a preprocessing step to the FSS algorithms, CDFE not only presents them with a feature subset, good in terms of classification, but also relieves them from heavy computations. Two FSS algorithms are employed in the second stage to test the two-stage feature selection idea. We carry out experiments with two different classifiers (naive Bayes' and kernel ridge regression) on three different real-life data sets (NOVA, HIVA, and GINA) of the”Agnostic Learning versus Prior Knowledge” challenge. As a stand-alone method, CDFE shows up to about 92 percent reduction in the feature set size. When combined with the FSS algorithms in two-stages, CDFE significantly improves their classification accuracy and exhibits up to 97 percent reduction in the feature set size. We also compared CDFE against the winning entries of the challenge and found that it outperforms the best results on NOVA and HIVA while obtaining a third position in case of GINA.
Health Status and Social Networks as Predictors of Resilience in Older Adults Residing in Rural and Remote Environments

Purpose. Health status and social networks are associated with resilience among older adults. Each of these factors may be important to the ability of adults to remain in rural and remote communities as they age. We examined the association of health status and social networks and resilience among older adults dwelling in a rural and remote county in the Western United States. Methods. We selected a random sample of 198 registered voters aged 65 years or older from a frontier Wyoming county. Hierarchical linear regression was used to examine the association of health status as well as social networks and resilience. We also examined health status as a moderator of the relationship between social networks and resilience. Results. Family networks (p = 0.024) and mental health status (p < 0.001) significantly predicted resilience. Mental health status moderated the relationship of family (p = 0.004) and friend (p = 0.021) networks with resilience. Smaller family and friend networks were associated with greater resilience when mental health status was low, but not when it was high. Conclusion. Efforts to increase mental health status may improve resilience among older adults in rural environments, particularly for those with smaller family and friends networks.
PTSD-8: A Short PTSD Inventory

Traumatic events pose great challenges on mental health services in scarcity of specialist trauma clinicians and services. Simple short screening instruments for detecting adverse psychological responses are needed. Several brief screening instruments have been developed. However, some are limited, especially in relation to reflecting the posttraumatic stress disorder (PTSD) diagnosis. Recently, several studies have challenged pre-existing ideas about PTSD’s latent structure. Factor analytic research currently supports two four factor models. One particular model contains a dysphoria factor which has been associated with depression and anxiety. The symptoms in this factor have been hailed as less specific to PTSD. The scope of this article is therefore to present a short screening instrument, based on this research; Posttraumatic Stress Disorder (PTSD) – 8 items. The PTSD-8 is shown to have good psychometric properties in three independent samples of whiplash patients (n=1710), rape victims (n=305), and disaster victims (n=516). Good test-rest reliability is also shown in a pilot study of young adults from families with alcohol problems (n=56).
Comparison of the MDRD Study and the CKD-EPI Study equations in evaluating trends of estimated kidney function at population level: findings from the National FINRISK Study.

BACKGROUND There are no data comparing the Modification of Diet in Renal Disease (MDRD) Study and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) Study equations in the evaluation of time-dependent trend of estimated glomerular filtration rate (eGFR) in the general population. METHODS Changes in eGFR and in the association of eGFR with kidney disease and cardiovascular disease (CVD) risk factors across age groups were estimated in two independent cross-sectional population surveys in Finland in 2002 and 2007 with 11 277 study participants, aged 25-74 years, using both the MDRD and the CKD-EPI equations. RESULTS A trend towards decreasing eGFRs between the study years was observed using both equations, but the trend was more substantial when using the MDRD equation. The MDRD equation yielded lower estimates of eGFR than the CKD-EPI equation, with small mean difference between the equations at low eGFR level but substantial at the level of only mildly decreased or near-normal to normal kidney function. Decrease of eGFR was associated with an increase in CKD and CVD risk factors. However, an increase of risk factors was not observed among those who had mildly decreased eGFR by only the MDRD equation but not by the CKD-EPI equation. CONCLUSION In comparison with the CKD-EPI equation, the MDRD equation augmented the trend of increasing prevalence of CKD, showed a weaker association with risk factors and tended to assign impaired renal function to individuals without an excess of cardiovascular risk factors.
Interactive object segmentation using single touch

We propose a method for interactive object segmentation using a single touch provided on the foreground object. The `extent' of the foreground object is estimated by a random walk technique designed on the salient edge representation of the image. The final image segmentation is performed under graph-cut framework. The accuracy of proposed method is demonstrated against the state-of the art interactive image segmentation techniques on GSC and BSD500 image datasets.