Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors associated with the unresolved classification of the Adult Attachment Interview in women who have suffered stillbirth

The “unresolved” state of mind with respect to loss or trauma as assessed in the Adult Attachment Interview is common in clinical and forensic groups, as well as in mothers whose infants are classified as disorganized in their attachment relationship to them. However, questions remain about what the unresolved state represents and what factors predict the unresolved state. This case controlled study reports on 64 women who had suffered stillbirth and who were pregnant with their next child. The study explores attachment, psychiatric, and social factors associated with the unresolved state or higher unresolved scores with respect to stillbirth. Women who had experienced stillbirth were more likely to be unresolved than control women. Although a similar number of stillbirth and control women had experienced childhood trauma, only women who had experienced stillbirth were unresolved with respect to this trauma, suggesting the unresolved state may be evoked or reevoked by subsequent traumatic loss. Higher unresolved scores in relation to stillbirth were predicted by childhood trauma, poor support from family after the loss, and having a funeral for the infant. The results are discussed in terms of the woman's sense of being causal in the loss.This study was funded by South Thames West R&D, Tommy's Campaign, and the Simenauer Trust (Institute of Psycho-Analysis, London). We thank the Editor and four anonymous referees for their extremely helpful suggestions, many of which we adopted. We also thank the nursing and medical staff and the mothers who generously gave their time to the study.
Police Officers' Perceptions of Interviewing Offenders on Sex Offender Registries

Police interviews with offenders form an important component of the sex offender registry monitoring process. This study provides an analysis of police professionals' perceptions of the benefits and process of interviewing offenders on sex offender registries. Participants were a heterogeneous sample of 24 Australian police personnel whose roles were primarily associated with the operation of sex offender registries across three different jurisdictions. Participants' perceptions of sex offender registry interviews were elicited using non-directive prompts in focus groups of between two and five officers. Transcripts of these focus groups were analysed and key themes identified. Reported benefits related to the identification and correction of misunderstandings about registry requirements and elicitation of information to assist ongoing management and investigation of new offences. Further, establishing a sound relationship enabled proactive support of the offender in his/her attempt not to re-offend. Interview procedures emphasised the importance of genuine engagement and a relationship based on trust. The findings highlighted several challenges to interviewing and directions for further training, support and research. Participants' responses underscore the significant role that interviews play in the effective implementation of sex offender registries and emphasise the need for successful engagement of offenders during these interviews to improve the utility of registry schemes. This was the first study to examine the strengths and challenges of interviewing offenders on the registry from a policing perspective.
‘Evidence for Learning’ as Expressed by Undergraduate Biology Students in Learning Journals

Learning Journals are widely used in educational contexts to encourage students to reflect on their learning (Stephens & Winterbottom, 2010). Researchers from the faculties of science and education at the University of British Columbia are interested in exploring the ways in which Biology students represent that learning in their writing. These researchers are collaborating to investigate the potential for using Learning Journals as a means to gain insight into students’ perceptions of their own learning. This will be completed by identifying the kind of “evidence” that students use to determine what they have learned.
Scientific registers and disciplinary diversification: a comparable corpus approach

We present a study on linguistic contrast and commonality in English scientific discourse on the basis of a monolingually comparable corpus. The focus is on selected scientific disciplines at the boundaries to computer science (computational linguistics, bioinformatics, digital construction, microelectronics). The data basis is the English Scientific Text Corpus (SCITEX) which covers a time range of roughly thirty years (1970/80s to early 2000s). In particular, we investigate the disciplinary diversification/relatedness of scientific research articles in terms of register. Our results are relevant for research on multilingually comparable corpora as used in machine translation and related research, since they shed new light on the notion of ‘comparablity’.
Use of aromatic hydroxylation of phenylalanine to measure production of hydroxyl radicals after myocardial ischemia in vivo. Direct evidence for a pathogenetic role of the hydroxyl radical in myocardial stunning.

A pathogenetic role of . OH in myocardial stunning has been inferred from the protective effects of . OH scavengers and iron chelators. However, conclusive demonstration of the . OH radical hypothesis of myocardial stunning requires direct verification of three major, but still unproven, assumptions: (1) . OH is produced in the stunned myocardium in vivo; (2) antioxidant therapy inhibits . OH production; and (3) such inhibition results in enhanced recovery of contractility (ie, .OH is necessary for the development of myocardial stunning). Since phenylalanine (Phe) reacts with . OH to form the hydroxylated products ortho-, meta-, and para-tyrosines (o-, m-, and p-tyr), we used aromatic hydroxylation of Phe to detect . OH formation in the stunned myocardium. Open-chest dogs undergoing a 15-minute coronary occlusion followed by reperfusion received an intravenous infusion of Phe (54.3 mg/kg for 11.5 minutes beginning 90 seconds before reperfusion); these animals were given either no antioxidant therapy (group I, n = 15), N-2-mercaptopropionyl glycine (MPG) (group II, n = 11), or MPG combined with superoxide dismutase, catalase, and desferrioxamine (group III, n = 12). In addition, group IV (nonischemic control group, n = 6) received Phe but did not undergo coronary occlusion, whereas group V (ischemic control group, n = 16) underwent a 15-minute occlusion but did not receive Phe or antioxidants. The plasma concentrations of tyrosines in the local venous effluent and in the arterial blood were measured with high-performance liquid chromatography. In group I, production of o- and m-tyr, which are specific markers of . OH formation, began during coronary occlusion but increased dramatically immediately after reperfusion, peaking at 1 minute and continuing up to 10 minutes of reperfusion. In group II, the production of o- and m-tyr was markedly decreased throughout the first 10 minutes of reperfusion. In group III, the production of m-tyr was decreased to levels similar to those in group II, whereas the production of o-tyr was almost completely abolished. There was no appreciable production of o- or m-tyr in group IV. Recovery of contractile function (assessed as systolic wall thickening) was increased in group I vs group V. Recovery of function was further enhanced in group II, with only a slight additional improvement in group III. (ABSTRACT TRUNCATED AT 400 WORDS)
Request-based data dissemination protocol for wireless sensor networks

In wireless sensor networks, it is very important to design energy-efficient communication protocols, since sensor nodes are battery-powered and thus their lifetimes are limited. In these networks, it is also very crucial to provide solutions permitting users exploit the deployed sensor network. Data query dissemination and data gathering are the main objective of this study presented in this paper. We propose a protocol called QDDP (Query-based Data Dissemination Protocol) which attempts to save energy through new data query forwarding technique and new data gathering strategy. Simulation results show that the proposed protocol comparing with another known protocol is energy-efficient.
Réorganisation des aires motrices après un infarctus cérébral : méta-analyse des études de neuro-imagerie fonctionnelle

Over the two past decades, brain imaging studies have allowed to examine brain reorganization of motor areas after stroke. Nevertheless, the role of those patterns in relation to recovery remained to clarify. To address the time-related evolution at the level of the motor network and the functional relevance of those plastic changes in recovery, we performed an activation likelihood estimation voxel-based meta-analysis (MTA) of functional imaging studies investigating motor related brain activity after stroke. Of over 635 PubMed search results through April 2012, 24 studies (251 patients with upper-limb impairment and 145 healthy subjects) reported standardized whole-brain group coordinates were included. This MTA highlighted an additional activation of contralesional motor areas early after stroke, which tended to abate over time underlining a progressive restoration of the interhemispheric balance. Moreover, we showed an early reorganization of neural activity within SMA and ipsilesional motor cortex and a decrease of the activation in contralesional cerebellum was evidenced in stroke patients. A good recovery after stroke was associated with activation in SMA and ipsilesional motor cortex. In contrast, a bad recovery appeared to be linked with a cerebellum vermal activation which may be the reflect of behavioral compensatory strategies implicating the fastigio-thalamo-cortical loop and reticulo-spinal tract. Plastic changes within S1M1 appeared to be linked with a good recovery, suggesting a vicariant process. In conclusion, cerebral reorganization contributes to functional recovery after stroke. Functional imaging data can help to design predictive models of recovery.
User Activity Recognition in Smart Homes Using Pattern Clustering Applied to Temporal ANN Algorithm

This paper discusses the possibility of recognizing and predicting user activities in the IoT (Internet of Things) based smart environment. The activity recognition is usually done through two steps: activity pattern clustering and activity type decision. Although many related works have been suggested, they had some limited performance because they focused only on one part between the two steps. This paper tries to find the best combination of a pattern clustering method and an activity decision algorithm among various existing works. For the first step, in order to classify so varied and complex user activities, we use a relevant and efficient unsupervised learning method called the K-pattern clustering algorithm. In the second step, the training of smart environment for recognizing and predicting user activities inside his/her personal space is done by utilizing the artificial neural network based on the Allen’s temporal relations. The experimental results show that our combined method provides the higher recognition accuracy for various activities, as compared with other data mining classification algorithms. Furthermore, it is more appropriate for a dynamic environment like an IoT based smart home.
Automatic online labeling images via co-active-learning

The well-built dataset is a pre-requisite for computer vision research. However, the process of collecting and labeling the images is laborious and monotonous. In this paper, we aim to automatic labeling and collecting the images for the visual object category. We propose an active learning approach in a co-training way. Our approaches starts from a small dataset with ground truth labels, and iteratively labels a larger set of unlabeled samples using the two irrelative classifiers and augment the labeled dataset, and update the learning model simultaneously. There are two advantages of our approach, one is to avoid drifting from the object category, and the other is to sequentially update the learning model with the increasing of the unlabeled samples. The experiment results demonstrate that our approach is effective and is superior to the self-training methods.
Multi-modal Geolocation Estimation Using Deep Neural Networks

Estimating the location where an image was taken based solely on the contents of the image is a challenging task, even for humans, as properly labeling an image in such a fashion relies heavily on contextual information, and is not as simple as identifying a single object in the image. Thus any methods which attempt to do so must somehow account for these complexities, and no single model to date is completely capable of addressing all challenges. This work contributes to the state of research in image geolocation inferencing by introducing a novel global meshing strategy, outlining a variety of training procedures to overcome the considerable data limitations when training these models, and demonstrating how incorporating additional information can be used to improve the overall performance of a geolocation inference model. In this work, it is shown that Delaunay triangles are an effective type of mesh for geolocation in relatively low volume scenarios when compared to results from state of the art models which use quad trees and an order of magnitude more training data. In addition, the time of posting, learned user albuming, and other meta data are easily incorporated to improve geolocation by up to 11% for country-level (750 km) locality accuracy to 3% for city-level (25 km) localities.
Discovering Mappings between Ontologies in Semantic Integration Process

SUMMARY The use of ontologies in semantic translation is a viable approach to overcome the problem of semantic heterogeneity. In our framework (called GeoNis) for GIS interoperability, based on Semantic Mediator, semantic heterogeneity is resolved by using a hybrid ontology approach. This paper presents our approach to mappings between community terminologies (local ontologies) and mappings between local ontology and top-level ontology. As a main contribution, paper defines offline discovering of mappings between concepts from two local ontologies.
Monotonicity properties of some Dini functions

In this note our aim is to deduce some new monotonicity properties for a special combination of Bessel functions of the first kind by using a recently developed Mittag-Leffler expansion for the derivative of a normalized Bessel function of the first kind. These monotonicity properties are used to obtain some new inequalities for Bessel functions of the first kind.
Patterns subsindromici del Disturbo Borderline della Personalità in base alla presenza di Attacchi di Panico

E stato condotto uno studio osservazionale trasversale su 43 pazienti che alla valutazione del Centro Interdipar-timentale di Ricerca sui disturbi di Personalita (CIRDiP) soddisfavano i criteri per il Disturbo Bordeline della Personalita (BPD) del DSM-IV per esaminarne le caratteristiche in base alla presenza di Attacchi di Panico (PA) al baseline, allo scopo di delineare due gruppi di pazienti psicopatologicamente omogenei per cui si potessero ipotizzare specifiche modalita evolutive. Sebbene al baseline non sia stata riscontrata alcuna differenza statisti-camente significativa delle scale psicometriche tra i due gruppi, il maggiore punteggio medio alla Zanarini Rating Scale (ZAN-BPD) e il minore alla revised-Relationship Anecdotes Paradigm (r-RAP) del gruppo senza PA indicano scompensi rappresentati principalmente dai sintomi tipici della fase acuta del BPD, alquanto mute-voli e quindi passibili di miglioramento. D’altro canto, nei soggetti con PA il disturbo appare meno grave, poiche questi sembrano esprimere la sottostante organizzazione borderline attraverso la crisi acuta di ansia, sintomo nevrotico che divenendo parte integrante del loro funzionamento potrebbe impedirne un miglioramento a lungo termine.
Clinical and demographic covariates of chronic opioid and non-opioid analgesic use in rural-dwelling older adults: the MoVIES project

ABSTRACT Background: To describe covariates and patterns of late-life analgesic use in the rural, population-based MoVIES cohort from 1989 to 2002. Methods: Secondary analysis of epidemiologic survey of elderly people conducted over six biennial assessment waves. Potential covariates of analgesic use included age, gender, depression, sleep, arthritis, smoking, alcohol, and general health status. Of the original cohort of 1,681, this sample comprised 1,109 individuals with complete data on all assessments. Using trajectory analysis, participants were characterized as chronic or non-chronic users of opioid and non-opioid analgesics. Multivariable regression was used to model predictors of chronic analgesic use. Results: The cohort was followed for mean (SD) 7.3 (2.7) years. Chronic use of opioid analgesics was reported by 7.2%, while non-opioid use was reported by 46.1%. In the multivariable model, predictors of chronic use of both opioid and non-opioid analgesics included female sex, taking ≥2 prescription medications, and “arthritis” diagnoses. Chronic opioid use was also associated with age 75–84 years; chronic non-opioid use was also associated with sleep continuity disturbance. Conclusions: These epidemiological data confirm clinical observations and generate hypotheses for further testing. Future studies should investigate whether addressing sleep problems might lead to decreased use of non-opioid analgesics and possibly enhanced pain management.
Extracellular Vesicles as Therapeutic Tools in Cardiovascular Diseases

Extracellular vesicles (EVs), including microvesicles (MVs) and exosomes, are small vesicles secreted from a wide variety of cells. Whereas MVs are particles released by the outward budding of the plasma membrane, exosomes are derived from endocytic compartments. Secretion of EVs can be enhanced by specific stimuli, and increased plasma circulating levels of EVs have been correlated with pathophysiological situations. MVs, already present in the blood of healthy individuals, are considerably elevated in several cardiovascular diseases associated with inflammation, suggesting that they can mediate deleterious effects such as endothelial dysfunction or thrombosis. Nonetheless, very recent studies also demonstrate that MVs may act as biological information vectors transferring proteins or genetic material to maintain cell homeostasis, favor cell repair, or even promote angiogenesis. Additionally, exosomes have also been shown to have pro-angiogenic and cardio-protective properties. These beneficial effects, therefore, reveal the potential therapeutical use of EVs in the field of cardiovascular medicine and regenerative therapy. In this review, we will provide an update of cellular processes modulated by EVs of specific interest in the treatment of cardiovascular pathologies. A special focus will be made on the morphogen sonic hedgehog (Shh) associated with EVs (EVsShh+), which have been shown to mediate many pro-angiogenic effects. In addition to offer a potential source of cardiovascular markers, therapeutical potential of EVs reveal exciting opportunities to deliver specific agents by non-immunogenic means to cardiovascular system.
Comparison of Clinical and Radiological Results of Posterolateral Fusion and Posterior Lumbar Interbody Fusion in the Treatment of L4 Degenerative Lumbar Spondylolisthesis

Study Design Multicenter analysis of two groups of patients surgically treated for degenerative L4 unstable spondylolisthesis. Purpose To compare the clinical and radiographic outcomes of posterolateral fusion (PLF) and posterior lumbar interbody fusion (PLIF) for degenerative L4 unstable spondylolisthesis. Overview of Literature Surgery for lumbar degenerative spondylolisthesis is widely performed. However, few reports have compared the outcome of PLF to that of PLIF for degenerative L4 unstable spondylolisthesis. Methods Patients with L4 unstable spondylolisthesis with Meyerding grade II or more, slip of >10° or >4 mm upon maximum flexion and extension bending, and posterior opening of >5 degree upon flexion bending were studied. Patients were treated from January 2008 to January 2010. Patients who underwent PLF (n=12) and PLIF (n=19) were followed-up for >2 years. Radiographic findings and clinical outcomes evaluated by the Japanese Orthopaedic Association (JOA) score were compared between the two groups. Radiographic evaluation included slip angle, translation, slip angle and translation during maximum flexion and extension bending, intervertebral disc height, lumbar lordotic angle, and fusion rate. Results JOA scores of the PLF group before surgery and at final follow-up were 12.3±4.8 and 24.1±3.7, respectively; those of the PLIF group were 14.7±4.8 and 24.2±7.8, respectively, with no significant difference between the two groups. Correction of slip estimated from postoperative slip angle, translation, and maintenance of intervertebral disc height in the PLIF group was significantly (p<0.05) better than those in the PLF group. However, there was no significant difference in lumbar lordotic angle, slip angle and translation angle upon maximum flexion, or extension bending. Fusion rates of the PLIF and PLF groups had no significant difference. Conclusions The L4–L5 level posterior instrumented fusion for unstable spondylolisthesis using both PLF and PLIF could ameliorate clinical symptoms when local stability is achieved.
EXPERIMENTAL EVIDENCE FOR HYSTERESIS IN THE CELL CYCLES OF XENOPUS LAEVIS EGG EXTRACTS

ii ACKNOWLEDGMENTS. iv TABLE OF CONTENTS. vi LIST OF FIGURES. ix LIST OF TABLES. xi Chapter 1: INTRODUCTION. 1 1.1 The Novak-Tyson mathematical model. 1 1.2 Physiology of embryonic cell cycles. 2 1.2. 1 Oocytes. 2 1.2. 2 Fertilized eggs. 2 1.2. 3 Egg extracts. 4 1.3 Molecular mechanisms of embryonic cell cycles. 5 1.3.1 MPF and its function. 5 1.3.2 How is MPF activity regulated. 6 1.3.3 Cyclin B level and MPF activity. 9 1.3.3.1 Activation threshold concentration of cyclin B and lag time. 9 1.3.3.2 Inactivation threshold concentration of cyclin B. 10 1.3.3. 3 Threshold concentration of cyclin B when a DNA replication checkpoint in engaged. 11 Chapter 2: BISTABILITY and HYSTERESIS. 13
Analysis of normal swallowing sounds using nonlinear dynamic metric tools

Several metric tools for quantative analysis of scalar time series have been developed using the theory of nonlinear dynamics. The goal of this work was to study the characteristics of swallowing sound using these metric tools. Takens method of delays was used to reconstruct multidimensional state space representation of the swallowing sounds of 6 healthy subjects (ages 13-30 years, 3 males) being fed thin and thick liquid textures. The optimum time delay for different subjects varied from 3 to 9 samples. False nearest neighbors method was used to obtain proper embedding dimension. The correlation dimension was calculated based on Grassberger-Procaccia algorithm. The results suggest that swallowing sound is well characterized by a small number of dimensions. The largest Lyapunov exponent was also estimated to evaluate the presence of chaos. As the largest Lyapunov exponent for some cases was negative, it may be concluded that swallowing sound is not necessarily a chaotic process.
Carbon‐Carbon Contacts for Robust Nanoelectromechanical Switches

Nanoelectromechanical devices exhibiting dramatically improved robustness through novel material selection are demonstrated. A unique combination of carbon nanotube active elements and conductive diamond-like carbon contact electrodes results in reliable switching performance not found in devices with ubiquitously-used metal thin film electrodes. This in turn represents a viable means to improve the reliability of a diverse, and widely-pursued class of nanoscale devices ranging from single-nanostructure switches to massively parallel arrays.