Miracle-dz/UniFAR-FTUs huggingface dataset:
Veteran Couples Integrative Intensive Retreat Model: An Intervention for Military Veterans and Their Relational Partners

ABSTRACT Military veterans are among those most affected by posttraumatic stress disorder (PTSD) due to combat-related experiences and are often reluctant to seek long-term services. Trauma is commonly associated with distress for veterans as well as their partners, which makes it important for both individuals within a couple to receive mental health care. There are few brief programs, however, that provide these needed services for both active military and veteran couples who may still suffer from the effects of trauma. The authors provide a description and evaluation of a brief couples retreat model program aimed at reducing distress for veterans and their partners. A total of 149 couples (298 individuals) participated in weeklong retreat-style interventions. Results showed that trauma symptoms were significantly reduced for veterans, and partners reported a decrease in distress after the intervention. Although the magnitude of this effect diminished over time, there was evidence of long-term treatment effects at a 6-month follow-up. Results support the efficacy of this program, but the authors call for further research to provide additional evidence of treatment outcomes in this population.
Combining Parent–Child Interaction Therapy and Visual Supports for the Treatment of Challenging Behavior in a Child With Autism and Intellectual Disabilities and Comorbid Epilepsy

About one in six children has one or more developmental disabilities, which include autism spectrum disorder (ASD) and intellectual disabilities (ID). Individuals with both ASD and ID are at higher risk of epilepsy, and those with younger onset of seizures are at higher risk of both developmental and behavioral disorders. Young children presenting with developmental and behavioral challenges are often very difficult for caregivers to manage, and challenging behavior results in reduced learning opportunities. Finding effective and efficient interventions to address behavioral issues remains a clinical priority to improve overall outcomes for all children and especially those with developmental disabilities. This case study presents the treatment of a 5-year-old girl diagnosed with ASD, ID, and comorbid epilepsy using Parent–Child Interaction Therapy (PCIT) combined with visual supports (VS). Findings from this case report documented (a) an improvement in behavioral functioning in home, school, and community settings; (b) evidence for the effectiveness of parent-mediated intervention; and (c) support for collaboration and care coordination to improve intervention outcomes.
Donor Hemodynamics as a Predictor of Outcomes After Kidney Transplantation From Donors After Cardiac Death

Donation after cardiac death is an important source of transplantable organs, but evidence suggests donor warm ischemia contributes to inferior outcomes. Attempts to predict recipient outcome using donor hemodynamic measurements have not yielded statistically significant results. We evaluated novel measures of donor hemodynamics as predictors of delayed graft function and graft failure in a cohort of 1050 kidneys from 566 donors. Hemodynamics were described using regression line slopes, areas under the curve, and time beyond thresholds for systolic blood pressure, oxygen saturation, and shock index (heart rate divided by systolic blood pressure). A logistic generalized estimation equation model showed that area under the curve for systolic blood pressure was predictive of delayed graft function (above median: odds ratio 1.42, 95% confidence interval [CI] 1.06–1.90). Multivariable Cox regression demonstrated that slope of oxygen saturation during the first 10 minutes after extubation was associated with graft failure (below median: hazard ratio 1.30, 95% CI 1.03–1.64), with 5‐year graft survival of 70.0% (95%CI 64.5%–74.8%) for donors above the median versus 61.4% (95%CI 55.5%–66.7%) for those below the median. Among older donors, increased shock index slope was associated with increased hazard of graft failure. Validation of these findings is necessary to determine the utility of characterizing donor warm ischemia to predict recipient outcome.
Post-Traumatic Stress Disorder in Kosovo Veterans

Objective: The objective of this study was to explore the prevalence of post-traumatic stress disorder (PTSD) at veterans 8 years after war, to find out relation of PTSD with other demographic and health related variables and discover the impact of depression and trauma on PTSD on 687 veterans from six municipalities in Kosovo. Method: Participants were 687 war veterans selected from six regions of Kosovo during 2008. The Harvard Trauma Questionnaire (HTQ-40), was administered to measure PTSD and Hopkins Symptom Checklist (HSCL-25) for depression and anxiety. Pearson chi-square, analysis of variance (ANOVA), and multiple regressions were used to analyze the data. Results: Results indicated that 11.2 % of veterans even 8 years after the war ended were suffering from PTSD. Six percent of veterans with PTSD did not seek medical help. They reported to have had emotional problems and physical problems, but they did not seek medical help. The findings suggest that self-medication may be one way of veterans dealing with PTSD symptoms. Veterans with PTSD symptoms were more concerned with “family issues” than those without PTSD symptoms. Conclusions: The study found that 8 years after the war the veterans of the war in Kosovo suffer PTSD symptoms and that a good number of them do not seek help for this problem. The establishment of adequate services by the state would transform these veterans’ dealing with PTSD not into a moral challenge but into a fundamental right to equal and high-quality services.
Intrusion detection in computer networks using hybrid machine learning techniques

The emergence of new networking paradigms like Cloud Computing and the Internet of Things has introduced new security challenges that deserve new mechanisms to guarantee the integrity, availability and confidentiality of information and services to the users. One of the currently most studied strategies to satisfy these necessities is the use of hybrid Machine Learning techniques to automatize the process of intrusion detection in computer networks. This paper presents the design, implementation and performance analysis of multiple hybrid Machine Learning models for the task of intrusion detection in computer networks. Our results show that the combination of supervised and unsupervised learning algorithms complement each other to the task of creating a model capable of adapting to the detection of known and unknown attacks.
Anti‐HER‐3 MAbs inhibit HER‐3‐mediated signaling in breast cancer cell lines resistant to anti‐HER‐2 antibodies

Two members of the EGF receptor family, HER2 and HER3, act as key oncogenes in breast cancer cells. A MAb against HER2, trastuzumab, interferes with HER2 signaling and istherapeutically effective in humans. Here, we explored the biologic effects of an antibody against HER3 (α‐HER3ECD) in the invasive breast cancer cell lines MCF‐7ADR and MDA‐MB‐468. Pretreating the breast cancer cells with α‐HER3ECD prior to Heregulin stimulation caused significant reduction of the migratory and proliferative properties. This reduction is due to a substantial decrease in the tyrosine phosphorylation content of HER2 and to a modification of the HER2/HER3 association, which ultimately inhibits the activity of the downstream effectors phosphatidyinositol‐3‐OH‐kinase and c‐jun‐terminal kinase. Furthermore, HER3 is internalized and not activated by HRG after pretreatment with α‐HER3ECD. Our data reinforce the notion that HER3 could be a key target in cancer drug design and show the great potential of anti‐HER3 antibodies for the therapy of breast cancer and other malignancies characterized by overexpression of HER3. © 2005 Wiley‐Liss, Inc.
N,N'-Bisformyl dityrosine is an in vivo precursor of the yeast ascospore wall.

The amino acid, dityrosine, is a major component of the spore wall surface of the yeast Saccharomyces cerevisiae, where it is part of a highly cross-linked macromolecular network of yet unknown chemical structure, consisting mostly of glucosamine, dityrosine and few other amino acids. Biosynthesis of the dityrosine moiety of this network consists of several steps, including the chemical modification of free L-tyrosine and the subsequent oxidative cross-linking of the modified tyrosine residues (catalyzed by a cytochrome P-450), leading to soluble dityrosine-containing spore wall precursors. We isolated, purified and characterized the dityrosine-containing precursor that appears late in spore wall synthesis and that is thought to be directly incorporated into the maturing spore wall. Chemical and spectroscopic analyses showed that this precursor is N,N'-bisformyl dityrosine. In addition, we identified a tyrosine-containing spore wall precursor as N-formyl tyrosine. The elucidation of the chemical structure of soluble spore wall precursors is crucial for the characterization of the function of the enzymes involved in maturation of the spore surface, e.g. by in vitro systems. A dityrosine-containing fragment, which was solubilized from mature spore walls by partial hydrolysis, was identified as N-formyl dityrosine. Mature spore walls contain significant amounts of N-formyl dityrosine and N,N'-bisformyl dityrosine. This supports the assumption that the dityrosine-containing macromolecular network on the spore surface has an unusual, non-peptidic structure.
The Combined Power of Conditions and Information on Failures to Solve Asynchronous Set Agreement

To cope with the impossibility of solving agreement problems in asynchronous systems made up of $n$ processes and prone to $t$ process crashes, system designers tailor their algorithms to run fast in “normal” circumstances. Two orthogonal notions of “normality” have been studied in the past through failure detectors that give processes information about process crashes, and through conditions that restrict the inputs to an agreement problem. This paper investigates how the two approaches can benefit from each other to solve the $k$-set agreement problem, where processes must agree on at most $k$ of their input values (when $k=1$ we have the famous consensus problem). It proposes novel failure detectors for solving $k$-set agreement and a protocol that combines them with conditions, establishing a new bridge among asynchronous, synchronous, and partially synchronous systems with respect to agreement problems. The paper also proves a lower bound when solving the $k$-set agreement problem with a condition.
A Receding Horizon Control scheme with partial state measurements: Control augmentation of a flexible UAV

In this paper the implementation of an Output Feedback Receding Horizon Control (RHC) algorithm for constrained uncertain discrete-time linear systems subject to norm-bounded Linear Fractional Representation (LFR) model uncertainties has been developed. Performance and effectiveness of the proposed strategy have been numerically tested by considering the control augmentation problem of an High Altitude Performance Demonstrator (HAPD) unmanned aircraft with redundant control surfaces.
Three Decades of Volume Change of a Small Greenlandic Glacier Using Ground Penetrating Radar, Structure from Motion, and Aerial Photogrammetry

ABSTRACT Glaciers in the Arctic are losing mass at an increasing rate. Here we use surface topography derived from Structure from Motion (SfM) and ice volume from ground penetrating radar (GPR) to describe the 2014 state of Aqqutikitsoq glacier (2.85 km2) on Greenland's west coast. A photogrammetrically derived 1985 digital elevation model (DEM) was subtracted from a 2014 DEM obtained using land-based SfM to calculate geodetic glacier mass balance. Furthermore, a detailed 2014 ground penetrating radar survey was performed to assess ice volume. From 1985 to 2014, the glacier has lost 49.8 ± 9.4 106 m3 of ice, corresponding to roughly a quarter of its 1985 volume (148.6 ± 47.6 106 m3) and a thinning rate of 0.60 ± 0.11 m a-1. The computations are challenged by a relatively large fraction of the 1985 DEM (∼50% of the glacier surface) being deemed unreliable owing to low contrast (snow cover) in the 1985 aerial photography. To address this issue, surface elevation in low contrast areas was measured manually at point locations and interpolated using a universal kriging approach. We conclude that ground-based SfM is well suited to establish high-quality DEMs of smaller glaciers. Provided favorable topography, the approach constitutes a viable alternative where the use of drones is not possible. Our investigations constitute the first glacier on Greenland's west coast where ice volume was determined and volume change calculated. The glacier's thinning rate is comparable to, for example, the Swiss Alps and underlines that arctic glaciers are subject to fast changes.
Intensive treadmill training in the acute phase after ischemic stroke

The aim of the study was to (a) assess the feasibility of intensive treadmill training in patients with acute ischemic stroke, (b) test whether physical activity of the legs during training increases with time, and (c) evaluate to what extent training sessions contribute toward the overall physical activity of these patients. Twenty hospitalized patients with acute ischemic stroke trained on a treadmill twice daily for 30 min for 5 days and on day 30. Physical activity was measured as activity counts (AC) from accelerometers. A total of 196 of 224 initiated training sessions were completed. Training started 41.5±14 h after symptom onset. Only nonserious adverse events occurred in 14.7% of the sessions. An intensity of at least 50% of the individual heart rate reserve was obtained in 31% of training sessions. There was a significant increase in AC/min in the legs during training sessions with increasing number of days, with the median AC being 133% higher on day 5 than on day 1. AC in the paretic leg during 60 min of training constituted median 53% of the daytime AC. Early intensive treadmill training in acute ischemic stroke patients is thus feasible and contributes considerably toward the patients’ overall physical activity.
User value design for cloud courseware system

A cloud learning environment enables an enriched learning experience compared to conventional methods of learning. Employing a value-sensitive approach, we undertook theoretical and empirical analyses to explore the values that influence potential users’ adoption of cloud courseware, by integrating cognitive motivations and user values as primary determining factors. We found that users’ intentions and behaviours are largely influenced by their perceptions of what is valuable about the cloud courseware in terms of sociability, learnability, and usability. These evaluations were found to be significant antecedents of cloud-computing intentions. This study makes a contribution to theory development as our model extends existing technology acceptance models and can be used to design user interfaces and promote the acceptance of cloud computing. For practical applications, the study findings can be used by industries promoting cloud services to increase user acceptance by addressing user values and incorporating them into cloud-computing design.
Diaries as a Reflective Tool in Pre-Service Language Teacher Education.

This study presents and analyzes the positive and negative reflections of ten pre-service English teachers who kept diaries on their own learning and teaching processes and daily lives. The participants were students in an English Language Teacher Education Program who took an on-campus methodology course and voluntarily agreed to keep diaries. These student teachers were asked to write for one month, outside of class contact hours, about their own learning and teaching experiences. The diaries were analyzed to explore the pre-service English teachers’ language learning and teaching processes, daily routines and turning points regarding their future profession. Results showed that diaries might provide an effective tool to gain insight into the pre-service English teachers’ learning and teaching processes both in and outside of the classroom and to understand in more depth their daily routines as student teachers. Key words: Pre-service teachers, diary, language teacher education, reflective thinking, Turkey.
Universal Mandatory Reporting Policies and the Odds of Identifying Child Physical Abuse

Objectives To examine the relationships between universal mandatory reporting (UMR), child physical abuse reporting, and the moderating effect of UMR on physical abuse report outcomes by report source. Methods We used a national data set of 204 414 children reported for physical abuse in 2013 to compare rates of total and confirmed reports by states or territories with and without UMR. We estimated odds and predicted probabilities of confirming a physical abuse report made by professional versus nonprofessional reporters, accounting for the moderating effect of UMR and individual-level characteristics. Results Rates of total and confirmed physical abuse reports did not differ by UMR status. Nonprofessionals were more likely to make reports in UMR states compared with states without UMR. Probability of making a confirmed report was significantly lower under UMR; this effect almost doubled for nonprofessionals compared with professional reporters. Conclusions Universal mandatory reporting may not be the answer for strengthening the protection of children victimized by physical abuse. Implementation of child protection policies must be exercised according to evidence to exert the fullest impact and benefit of these laws.
The boundaries of the multinational firm: an empirical analysis

Using data on U.S. intra-firm and arm’s-length imports for 5,423 products and 210 countries, we examine the determinants of the share of U.S. imports that are intra-firm. Three determinants of this share have been proposed: (1) Antras (2003) focuses on the share of inputs provided by the headquarter firm. We provide added confirmation and further strengthen the empirical findings in Antras (2003) and Yeaple (2006). (2) In a model featuring heterogeneous productivities, Antras and Helpman (2004) focus on the interaction between the firm’s productivity level and the headquarter’s input share. We find very strong support for this determinant. (3) Antras and Helpman (2006) add to this the possibility of partially incomplete contracting. We find that consistent with the novel prediction of their model, improved contracting of the supplier’s inputs can increase the share of U.S. imports that are intra-firm. In short, the data bear out the primary predictions of this class of models about the share of U.S. imports that is intra-firm trade.
Visual Recognitive Thresholds Following Sensory Deprivation

Recent studies of sensory deprivation have shown that reduced stimulus-variability may appreciably modify sensory and cognitive efficiency. The McGill experiments demonstrated that exposing human Ss for several days to an environment, which minimized stimulus-change and restricted visual functions to the perception of diffuse light, resulted in progressive intellectual deterioration, hallucinations, and a variety of visual disturbances.1 Similarly, studies of visual monitoring have shown that impairments in attention increase with the length of the period of vigilance.2 Hebb has suggested that these disturbances in sensory efficiency result from the lack of stimulation of the nonspecific arousal system of the brain stem.3 According to his formulation, reduced exteroceptive stimulation may lead to a lowering of the generalized drive which presumably energizes the normal, perceptual functions. On the other hand, contrary results were obtained by Vernon and Hoffman who reported that periods of relatively complete sensory deprivation (up to 48 hrs., in a lightproof, soundproof, floating room) resulted in improvements in learning ability which correlated directly with the length of deprivation.4 Butler obtained similar results. He found an increase in the responsiveness of monkeys to visual incentives after periods of visual deprivation varying from 2-8 hrs. He ascribed his findings to the activation of a visual exploratory drive that increased with the duration of deprivation.5 The divergent results obtained in this area may be due to variations in the conditions of deprivation, or to differences in the measures of behavioral efficiency employed, or to both. In the present study, a comparison is made of the effects of two different conditions of sensory deprivation upon perceptual functioning in vision. Vernon and Hoffman's findings suggest that increments in visual efficiency would result from relatively complete visual deprivation.6 The visual exploratory drive, invoked by Butler, could account for the increments in visual functioning.7
Projecting Antarctic ice discharge using response functions from SeaRISE ice-sheet models

Abstract. The largest uncertainty in projections of future sea-level change results from the potentially changing dynamical ice discharge from Antarctica. Basal ice-shelf melting induced by a warming ocean has been identified as a major cause for additional ice flow across the grounding line. Here we attempt to estimate the uncertainty range of future ice discharge from Antarctica by combining uncertainty in the climatic forcing, the oceanic response and the ice-sheet model response. The uncertainty in the global mean temperature increase is obtained from historically constrained emulations with the MAGICC-6.0 (Model for the Assessment of Greenhouse gas Induced Climate Change) model. The oceanic forcing is derived from scaling of the subsurface with the atmospheric warming from 19 comprehensive climate models of the Coupled Model Intercomparison Project (CMIP-5) and two ocean models from the EU-project Ice2Sea. The dynamic ice-sheet response is derived from linear response functions for basal ice-shelf melting for four different Antarctic drainage regions using experiments from the Sea-level Response to Ice Sheet Evolution (SeaRISE) intercomparison project with five different Antarctic ice-sheet models. The resulting uncertainty range for the historic Antarctic contribution to global sea-level rise from 1992 to 2011 agrees with the observed contribution for this period if we use the three ice-sheet models with an explicit representation of ice-shelf dynamics and account for the time-delayed warming of the oceanic subsurface compared to the surface air temperature. The median of the additional ice loss for the 21st century is computed to 0.07 m (66% range: 0.02–0.14 m; 90% range: 0.0–0.23 m) of global sea-level equivalent for the low-emission RCP-2.6 (Representative Concentration Pathway) scenario and 0.09 m (66% range: 0.04–0.21 m; 90% range: 0.01–0.37 m) for the strongest RCP-8.5. Assuming no time delay between the atmospheric warming and the oceanic subsurface, these values increase to 0.09 m (66% range: 0.04–0.17 m; 90% range: 0.02–0.25 m) for RCP-2.6 and 0.15 m (66% range: 0.07–0.28 m; 90% range: 0.04–0.43 m) for RCP-8.5. All probability distributions are highly skewed towards high values. The applied ice-sheet models are coarse resolution with limitations in the representation of grounding-line motion. Within the constraints of the applied methods, the uncertainty induced from different ice-sheet models is smaller than that induced by the external forcing to the ice sheets.