Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-efficacy for controlling upsetting thoughts and emotional eating in family caregivers

Objectives: Self-efficacy for controlling upsetting thoughts was examined as a predictor of emotional eating by family caregivers of physically and cognitively impaired older adults. Methods: Adult women (N = 158) providing healthcare assistance for an older family member completed an online survey about caregiving stressors, depressive symptoms, self-efficacy, and emotional eating. A stress process framework was used as a conceptual model to guide selection of variables predicting emotional eating scores. Results: A hierarchical multiple regression was conducted and the overall model was significant (R2 = .21, F(4,153) = 10.02, p < . 01); self-efficacy for controlling upsetting thoughts was a significant predictor of caregivers’ emotional eating scores after accounting for IADL, role overload, and depression scores. Conclusion: These findings replicate previous research demonstrating the relationship between managing cognitions about caregiving and behavioral responses to stressors, and point to the importance of addressing cognitive processes in efforts to improve caregiver health behaviors.
Identifying Web Users on the Base of their Browsing Patterns

Our aim is to develop methodology for recognition of Internet portal users on the base of their browsing patterns. This is a classification task in which we have thousands values of decision attribute and objects are described by means of sequences of symbols. We develop feature selectors which make our task tractable. Since the behaviour usually does not distinguish users, we introduce user profiles which are clusters of indiscernible users. Then, we construct classifiers which assign descriptions of user behaviour to user profiles. We also derive quality measures specific for our task.
The short-term and long-term effects of divorce on mortality risk in a large Finnish cohort, 1990–2003

This study investigated time patterns of post-divorce excess mortality. Using register-based data, we followed 252,641 married Finns from 1990 until subsequent date of divorce and death until 2003. Among men, excess mortality is highest immediately after divorce, followed by a decline over 8 years. Among women, excess mortality shows little variation over time, and is lower than among men at all durations of divorce. Social and economic factors—largely adjustment for post-divorce factors—explain about half of the excess mortality. This suggests that excess mortality is partly mediated through poor social and economic resources. Mortality attributable to accidental, violent, and alcohol-related causes is pronounced shortly after divorce. It shows a strong pattern of reduction over the next 4 years among divorced men, and is high for only 6 months after divorce among divorced women. These findings emphasize the importance of short-term psychological distress, particularly among men.
Risk factors associated with complications/sequelae of acute and subacute haematogenous osteomyelitis: an Italian multicenter study

ABSTRACT Background: Acute/subacute haematogenous osteomyelitis (AHOM/SAHOM) are potentially devastating diseases. Updated information about the epidemiology, management and outcome of AHOM/SAHOM is needed to minimize the risk of complications and sequelae. Methods: A multicenter study was performed to evaluate retrospectively the management and outcome of AHOM/SAHOM in Italy. Data from children aged >1 month, and hospitalized between 2010 and 2016, in 19 pediatric centers, were analyzed. Results: 300 children with AHOM and 98 with SAHOM were included. Median age was 6.0 years (IQR: 2.0–11.0). No clinical difference was observed with the exception of fever at onset (63.0% vs. 42.9%; P < 0.0001), and a more common spinal involvement in SAHOM (6.7% vs 20.4%; P < 0.001). Fifty-Eight Staphylococcus aureus strains were isolated; 5 (8.6%) were MRSA. No Kingella kingae infection was documented. No different risk for complication/sequela was observed between AHOM and SAHOM (38.3% vs. 34.7%; OR:0.85; 95%CI: 0.53–1.38; P = 0.518). Duration and type of antibiotic therapy were not associated with risk of complication/sequelae. Conclusion: AHOM and SAHOM displayed some differences, however occurrence and risk factors for complications and sequelae are similar, and the same empiric treatment might be recommended.
Electronic Brief Intervention and Text Messaging for Marijuana Use During Pregnancy: Initial Acceptability of Patients and Providers

Background Marijuana is the most widely used illicit substance during pregnancy. Technology-delivered brief interventions and text messaging have shown promise in general and pregnant samples but have not yet been applied to marijuana use in pregnancy. Objective The objective of the study was to evaluate, among pregnant women and prenatal care providers, the acceptability of an electronic brief intervention and text messaging plan for marijuana use in pregnancy. Methods Participants included patients (n=10) and medical staff (n=12) from an urban prenatal clinic. Patient-participants were recruited directly during a prenatal care visit. Those who were eligible reviewed the interventions individually and provided quantitative and qualitative feedback regarding software acceptability and helpfulness during a one-on-one interview with research staff. Provider-participants took part in focus groups in which the intervention materials were reviewed and discussed. Qualitative and focus group feedback was transcribed, coded manually, and classified by category and theme. Results Patient-participants provided high ratings for satisfaction, with mean ratings for respectfulness, interest, ease of use, and helpfulness ranging between 4.4 and 4.7 on a 5-point Likert scale. Of the 10 participants, 5 reported that they preferred working with the program versus their doctor, and 9 of 10 said the intervention made them more likely to reduce their marijuana use. Provider-participants received the program favorably, stating the information presented was both relevant and important for their patient population. Conclusions The findings support the acceptability of electronic brief intervention and text messaging for marijuana use during pregnancy. This, combined with their ease of use and low barrier to initiation, suggests that further evaluation in a randomized trial is appropriate.
Electrostatically Tunable Nanomechanical Shallow Arches

* Corresponding Author ABSTRACT We report an analytical and experimental study on the tunability of in-plane doubly-clamped nanomechanical arches under varied DC bias conditions at room temperature. For this purpose, silicon based shallow arches are fabricated using standard e-beam lithography and surface nanomachining of a highly conductive device layer on a silicon-on-insulator (SOI) wafer. The experimental results show good agreement with the analytical results with a maximum tunability of 108.14% for 180 nm thick arch with a transduction gap of 1 μm between the beam and the driving/sensing electrodes. The high tunability of shallow arches paves the ways for highly tunable band pass filtering applications in high frequency range.
Probing Laves phase formation in Ni-alloy during ultrasonic arc-welding with atomistic modelling

Ultrasonic arc-welding displays significant advantages, which are usually explained by macroscopic methods. This paper proposes a new approach to understand the mechanisms behind beneficial phenomena for nickel-based alloys. Two atomistic models were developed to depict niobium segregation and Laves phase reduction in ultrasound. It is found that an increased centrifugal force exerts on niobium atoms, and increases the equivalent force that pulls niobium atoms away from segregated region. Each niobium atom exhibits weaker ability to form Ni2Nb in ultrasound, prohibiting niobium atoms from forming Laves phase. As validated by experimental work, Laves phase was decreased by >90vol. -%. The proposed models provide an effective tool to predict structure and property of weld metals in ultrasound at atomistic-scale.
Geographical variation in the prevalence of heavy drinking in young Swiss men.

BACKGROUND Not much is known about how much geographical units matter for heavy alcohol consumption and how much of the geographical variations are explained by characteristics such as institutional alcohol policies and regional economic conditions. The study aim was to address these gaps considering three types of heavy alcohol consumption. METHODS Analyses were based on data collected on 5879 men (age: 20.0 years, standard deviation: 1.2) years participating in the Cohort Study on Substance Use Risk Factors in Switzerland. Generalized linear mixed models were used to assess overall prevalence, geographical variations in prevalence across geographical units (institutional units, economic micro regions, linguistic regions, urban/rural status), and explanatory variables in three different types of heavy alcohol consumption (heavy weekend drinking, heavy workweek drinking, heavy volume drinking). RESULTS The overall prevalence for heavy weekend drinking was 46.8%, 10.8% for heavy volume drinking and 3.6% for heavy workweek drinking. The extent and locations of geographical variation in prevalence rates were contingent upon the type of alcohol consumption. Institutional alcohol policies explained substantial geographical variations in heavy weekend drinking, but not in heavy workweek or heavy volume drinking. Regional economic conditions were not related to alcohol consumption. CONCLUSIONS Different types of heavy alcohol consumption are determined by different geographical units. Alcohol policies protectively impact the major drinking style of heavy weekend drinking, but not other low prevalence forms of heavy drinking. Research and public health efforts must take into account these differences between types of alcohol consumption.
BUSH: Empowering large-scale MU-MIMO in WLANs with hybrid beamforming

Large-scale MU-MIMO is a promising technology to scale network capacity and the capacity gain grows linearly with the numbers of antennas and users in theory. However, its practical deployment faces three critical challenges in the state-of-the-art WLANs: i) the demand of a large number of expensive RF chains; ii) the linear growth of feedback overheads with the number of antennas; iii) the lack of scalable user selection scheme for a large user population. In this paper, we design BUSH, a large-scale MU-MIMO prototype that performs scalable beam user selection with hybrid beamforming for phased-array antennas in legacy WLANs. The architecture of BUSH consists of three components. Firstly, a low complexity algorithm assigns each pair of RF chain and analog beam to the users to effectively reduce channel correlation and cross-talk interference without instantaneous CSI feedbacks. Secondly, as a prerequisite of user selection, BUSH presents a low-overhead probing scheme in multi-carrier WLANs, and designs a highly accurate blind Power Azimuth Spectrum (PAS) estimation algorithm using a single RF chain. Thirdly, the phased-array antennas use analog beamforming to steer spatial beams toward each selected downlink user, and the finite number of RF chains use beamforming to further mitigate the interference among users. We implement BUSH on the WARPv3 boards and evaluate its performance in more than 30 indoor scenarios. The experimental results show that in terms of total throughput BUSH outperforms the legacy 802.11ac by 2.08×, and an alternative benchmark system by 1.22× on average.
Grain boundary crystallography in polycrystalline yttria-stabilised cubic zirconia

Abstract Properties of grain boundaries such as grain boundary energy, mobility and diffusion are reported to depend strongly on their crystallography. While studies on ceramic bicrystals with low Σ misorientations have shown highly ordered structures and low energies, studies on dense polycrystalline ceramics often show the significance of grain boundary planes. In the present study, grain boundary plane distributions were studied for yttria-stabilised cubic zirconia with varying grain sizes using Electron Back Scattered Diffraction technique combined with a stereological approach. Despite nearly isotropic grain boundary plane distributions, a highly anisotropic grain boundary character distribution is observed for specific misorientations. Certain low-energy symmetric tilts such as Σ3 and Σ11 are found to occur with high frequencies across the grain size range studied, leading to an inverse correlation between GB energy and frequency of occurrence, consistent with other ceramics studied in literature.
Multiple Imputation and Posterior Simulation for Multivariate Missing Data in Longitudinal Studies

Summary. This paper outlines a multiple imputation method for handling missing data in designed longitudinal studies. A random coefficients model is developed to accommodate incomplete multivariate continuous longitudinal data. Multivariate repeated measures are jointly modeled; specifically, an i.i. d. normal model is assumed for time‐independent variables and a hierarchical random coefficients model is assumed for time‐dependent variables in a regression model conditional on the time‐independent variables and time, with heterogeneous error variances across variables and time points. Gibbs sampling is used to draw model parameters and for imputations of missing observations. An application to data from a study of startle reactions illustrates the model. A simulation study compares the multiple imputation procedure to the weighting approach of Robins, Rotnitzky, and Zhao (1995, Journal of the American Statistical Association90, 106–121) that can be used to address similar data structures.
Effects of curved midline and varying width on the description of the effective diffusivity of Brownian particles

Axial diffusion in channels and tubes of smoothly-varying geometry can be approximately described as one-dimensional diffusion in the entropy potential with a position-dependent effective diffusion coefficient, by means of the modified Fick–Jacobs equation. In this work, we derive analytical expressions for the position-dependent effective diffusivity for two-dimensional asymmetric varying-width channels, and for three-dimensional curved midline tubes, formed by straight walls. To this end, we use a recently developed theoretical framework using the Frenet–Serret moving frame as the coordinate system (2016 J. Chem. Phys. 145 074105). For narrow tubes and channels, an effective one-dimensional description reducing the diffusion equation to a Fick–Jacobs-like equation in general coordinates is used. From this last equation, one can calculate the effective diffusion coefficient applying Neumann boundary conditions.
[Role of maximal inspiratory pressure in the evaluation of respiratory muscle strength in asthmatics - Systematic review].

UNLABELLED Asthma is a chronic illness of the airways that can reduce respiratory muscle strength due to the resulting hyperinflation or treatment with corticosteroids. One of the ways to evaluate this respiratory muscular weakness is the Maximal Inspiratory Pressure (PImax). METHODS A systematic review of the databases PUBMED/MEDLINE, LILACS and SCIELO was carried through, using the key words: Asthma, respiratory muscle and muscle strength. RESULTS Fifty were found and six articles that evaluated the PImax in asthmatics, from these, thirty were excluded, making a total of twenty six articles. FINAL CONSIDERATIONS Through the present revision we show the effectiveness of PImax in evaluating respiratory muscle strength in asthmatics. More studies are needed, however, for better understanding of the asthmatic individual.
Post‐traumatic stress symptoms in children and adolescents with chronic pain: A topical review of the literature and a proposed framework for future research

The co‐occurrence of chronic pain and post‐traumatic stress symptoms (PTSS) and post‐traumatic stress disorder (PTSD) has gained increasing research attention. Studies on associations among pain and PTSS or PTSD in youth have largely been conducted in the context of acute injury or trauma. Less is known about the risk for co‐occurrence with paediatric chronic pain. In this review, we (1) propose a conceptual framework to outline factors salient during childhood that may be associated with symptom severity, co‐occurrence and mutual maintenance, (2) present relevant literature on PTSS in youth with acute and chronic pain and identify research gaps and (3) provide recommendations to guide paediatric research examining shared symptomatology.
Metabolic responses to a traditional Mexican diet compared with a commonly consumed US diet in women of Mexican descent: a randomized crossover feeding trial.

BACKGROUND Mexican immigrants are disproportionally affected by diet-related risk of metabolic dysfunction. Whether adhering to a traditional Mexican diet or adopting a US diet contributes to metabolic changes associated with future risk of type 2 diabetes and other chronic diseases has not been investigated. OBJECTIVE The purpose of this study was to test in a randomized crossover feeding trial the metabolic responses to a Mexican diet compared with a commonly consumed US diet. DESIGN First- and second-generation healthy women of Mexican descent (n = 53) were randomly assigned in a crossover design to consume a Mexican or US diet for 24 d each, separated by a 28-d washout period. Diets were eucaloric and similar in macronutrient composition. The metabolic responses to diets were assessed by measuring fasting serum concentrations of glucose, insulin, insulin-like growth factor 1 (IGF-1), insulin-like growth factor binding protein 3 (IGFBP-3), adiponectin, C-reactive protein (CRP), and interleukin 6 (IL-6), as well as the homeostasis model assessment of insulin resistance (HOMA-IR) at the beginning and end of each period. Linear mixed models tested the intervention effect on the biomarkers, while adjusting for diet sequence, feeding period, baseline and washout biomarker concentrations, age, acculturation, and BMI. RESULTS Compared with the US diet, the Mexican diet reduced insulin by 14% [geometric means (95% CIs): 9.3 (8.3, 10.3) compared with 8.0 (7.2, 8.9) μU/mL; P = 0.02], HOMA-IR by 15% [2.0 (1.8, 2.3) compared with 1.7 (1.6, 2.0); P = 0.02], and IGFBP-3 by 6% (mean ± SEM: 2420 ± 29 compared with 2299 ± 29 ng/mL; P < 0.01) and tended to reduce circulating concentrations of IGF-1 by 4% (149 ± 2.6 compared with 144 ± 2.5 ng/mL; P = 0.06). There was no significant intervention effect on serum concentrations of glucose, adiponectin, CRP, or IL-6 in the US compared with the Mexican diet. CONCLUSION Compared with the commonly consumed US diet, the traditional Mexican diet modestly improved insulin sensitivity under conditions of weight stability in healthy women of Mexican descent, while having no impact on biomarkers of inflammation. This trial was registered at clinicaltrials.gov as NCT01369173.
Nonstationary signal design for coexisting radar and communications systems

A possible approach to address spectrum congestion is to develop signaling schemes that allow for spectrum sharing with minimum system interference. In this paper, we consider the problem of co-existence between radar and communications systems by designing a common signaling scheme to jointly optimize the performance of both systems. In particular, we derive constraints on the parameters of linear frequency-modulated signals to minimize the interference between the two systems as well as the interference between multiple communications users. We propose a multi-objective optimization scheme for a pulse-Doppler radar system and a multiuser communications system, and we consider the trade-offs in performance under various system constraints.
Communication of behaviour change interventions: Can they be recognised from written descriptions?

Objective: Communication of the content of a behaviour change intervention (BCI) involves clear description followed by appropriate recognition and interpretation. We investigated accuracy of recognition of BCI descriptions and the effects of training in the behaviour change taxonomy BCTTv1. Methods: Materials were 166 written descriptions of two BCIs previously written by 166 separate writers after viewing a video of the BCI. Each of the current participants (12 naïve and 12 trained in BCTTv1) was presented with a random sample of the written descriptions and asked to form groups of descriptions they judged to be describing the same intervention. For each participant, we assessed the number of groupings of BCI descriptions, their purity (containing only one BCI) and their differentiation (having a dominant BCI). Results: All except one participant classified the descriptions into more than two groupings. Naïve participants created significantly more groupings, fewer ‘pure’ groupings and less differentiated groupings (all Mann –Whitney p < .05). Conclusions: Written communications of BCI contents may not be recognised and interpreted adequately to support implementation. BCT taxonomy training may lead to some progress in interpreting the active content of interventions but, based on this limited study, further progress is needed if BCIs for accurate implementation.
Integration of over 9,000 mass spectrometry experiments builds a global map of human protein complexes

Macromolecular protein complexes carry out many of the essential functions of cells, and many genetic diseases arise from disrupting the functions of such complexes. Currently, there is great interest in defining the complete set of human protein complexes, but recent published maps lack comprehensive coverage. Here, through the synthesis of over 9,000 published mass spectrometry experiments, we present hu.MAP, the most comprehensive and accurate human protein complex map to date, containing > 4,600 total complexes, > 7,700 proteins, and > 56,000 unique interactions, including thousands of confident protein interactions not identified by the original publications. hu.MAP accurately recapitulates known complexes withheld from the learning procedure, which was optimized with the aid of a new quantitative metric (k‐cliques) for comparing sets of sets. The vast majority of complexes in our map are significantly enriched with literature annotations, and the map overall shows improved coverage of many disease‐associated proteins, as we describe in detail for ciliopathies. Using hu.MAP, we predicted and experimentally validated candidate ciliopathy disease genes in vivo in a model vertebrate, discovering CCDC138, WDR90, and KIAA1328 to be new cilia basal body/centriolar satellite proteins, and identifying ANKRD55 as a novel member of the intraflagellar transport machinery. By offering significant improvements to the accuracy and coverage of human protein complexes, hu.MAP (http://proteincomplexes.org) serves as a valuable resource for better understanding the core cellular functions of human proteins and helping to determine mechanistic foundations of human disease.
Unsupervised Clustering for Fault Diagnosis in Nuclear Power Plant Components

Abstract The development of empirical classification models for fault diagnosis usually requires a process of training based on a set of examples. In practice, data collected during plant operation contain signals measured in faulty conditions, but they are ‘unlabeled’, i.e., the indication of the type of fault is usually not available. Then, the objective of the present work is to develop a methodology for the identification of transients of similar characteristics, under the conjecture that faults of the same type lead to similar behavior in the measured signals. The proposed methodology is based on the combined use of Haar wavelet transform, fuzzy similarity, spectral clustering and the Fuzzy C-Means algorithm. A procedure for interpreting the fault cause originating the similar transients is proposed, based on the identification of prototypical behaviors. Its performance is tested with respect to an artificial case study and then applied on transients originated by different faults in the pressurizer .