Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and validation of a generic questionnaire for the implementation of complex medical interventions

Introduction: The implementation of complex medical interventions in daily practice is often fraught with difficulties. According to the iterative phase model proposed by the British Medical Research Council (MRC), the development, implementation and evaluation of complex interventions should be theory-driven. A conceptual model that seems to be a promising framework is the Theory of planned behaviour (TPB). In our study we aimed to develop and validate a generic and multifaceted questionnaire based on the TPB to detect physicians’ willingness to implement complex medical interventions and the factors influencing this willingness. Methods: The questionnaire was developed according to the literature and was informed by previous qualitative research of our department. It was validated on the example of an electronic library of decision aids, arriba-lib. The sample consisted of 181 General Practitioners (GPs) who received a training regarding arriba-lib and subsequently filled in the questionnaire, assessing the TPB variables attitude, subjective norm, perceived behaviour control and intention. Follow-up assessments were conducted after two (assessing retest reliability) and eight weeks (assessing target behaviour). We performed a confirmatory factor analysis investigating the factorial structure of our questionnaire according to the TPB. Beside the calculation of the questionnaire’s psychometric properties we conducted a structural equation model and an ordinal regression to predict actual behaviour regarding the installation and application of arriba-lib. Results: The postulated three factorial model (attitude, subjective norm, perceived behaviour control) of our questionnaire based on the TPB was rejected. A two factorial model with a combined factor subjective norm/perceived behaviour control was accepted. The explained variance in the ordinal regression was low (Nagelkerke’s R2=.12). Neither attitude nor intention were able to predict the use or non-use of arriba-lib (attitude: p=.68, intention: p=.44). For the combined factor subjective norm/perceived behaviour control a significant, but small effect (p=.03) was shown. Conclusions: The TPB is not an adequate theoretical framework to guide the development of a generic questionnaire in the context of the implementation of complex interventions. To enable the successful implementation of complex medical interventions evaluators have to go through the whole development and evaluation process according to the MRC-model, without short cuts. Further, it has to be discussed if a generic instrument can be valid and useful. Regarding the TPB a publication bias regarding the theory’s applicability might have to be considered.
A view of Systems Practice: Enabling quality in design

The purpose of the study was to gain a greater understanding of the use of Systems Practice among engineers working in the Rolls‐Royce Defence Sector at its Bristol site and develop hypotheses about its use. This study is part of a larger project to investigate and improve the use and embedding of Systems Practice among engineers at the site. The current situation was studied using a combination of grounded theory and system dynamics, supported by the use of a computer‐aided qualitative data analysis software (CAQDAS) package. The results from this work show that Systems Practice is valued as a way of enabling quality in design but engineers find it challenging to adopt because of (i) lack of stakeholder appreciation of its value, (ii) their lack of experience with Systems Engineering, and (iii) logistical issues with its application. This work will be followed by group model building sessions to further develop the findings by identifying interventions to create and assess improvement in Systems Practice, in particular finding errors earlier in the design lifecycle. ©2012 Wiley Periodicals, Inc. Syst Eng 16
Uncommon ground : rethinking the human place in nature

In a lead essay that powerfully states the broad argument of the book, William Cronon writes that the environmentalist goal of wilderness preservation is conceptually and politically wrongheaded. Among the ironies and entanglements resulting from this goal are the sale of nature in our malls through the Nature Company, and the disputes between working people and environmentalists over spotted owls and other objects of species preservation. The problem is that we haven't learned to live responsibly in nature. The environmentalist aim of legislating humans out of the wilderness is no solution. People, Cronon argues, are inextricably tied to nature, whether they live in cities or countryside. Rather than attempt to exclude humans, environmental advocates should help us learn to live in some sustainable relationship with nature. It is our home.
On the uniqueness of certain families of holomorphic disks

A Zoll metric is a Riemannian metric whose geodesics are all circles of equal length. Via the twistor correspondence of LeBrun and Mason, a Zoll metric on the 2 dimensional sphere corresponds to a family of holomorphic disks in CP_2 with boundary in a totally real submanifold P. In this paper, we show that for a fixed totally real submanifold P, such a family is unique if it exists, implying that the twistor correspondence of LeBrun and Mason is injective. One of the key ingredients in the proof is the blow-up and blow-down constructions in the sense of Melrose.
Effect of Time Delay on Recognition Memory for Pictures: The Modulatory Role of Emotion

This study investigated the modulatory role of emotion in the effect of time delay on recognition memory for pictures. Participants viewed neutral, positive and negative pictures, and took a recognition memory test 5 minutes, 24 hours, or 1 week after learning. The findings are: 1) For neutral, positive and negative pictures, overall recognition accuracy in the 5-min delay did not significantly differ from that in the 24-h delay. For neutral and positive pictures, overall recognition accuracy in the 1-week delay was lower than in the 24-h delay; for negative pictures, overall recognition in the 24-h and 1-week delay did not significantly differ. Therefore negative emotion modulates the effect of time delay on recognition memory, maintaining retention of overall recognition accuracy only within a certain frame of time. 2) For the three types of pictures, recollection and familiarity in the 5-min delay did not significantly differ from that in the 24-h and the 1-week delay. Thus emotion does not appear to modulate the effect of time delay on recollection and familiarity. However, recollection in the 24-h delay was higher than in the 1-week delay, whereas familiarity in the 24-h delay was lower than in the 1-week delay.
Lagrangian Support Vector Machines

An implicit Lagrangian for the dual of a simple reformulation of the standard quadratic program of a linear support vector machine is proposed. This leads to the minimization of an unconstrained diﬀerentiable convex function in a space of dimensionality equal to the number of classiﬁed points. This problem is solvable by an extremely simple linearly convergent Lagrangian support vector machine (LSVM) algorithm. LSVM requires the inversion at the outset of a single matrix of the order of the much smaller dimensionality of the original input space plus one. The full algorithm is given in this paper in 11 lines of MATLAB code without any special optimization tools such as linear or quadratic programming solvers. This LSVM code can be used “as is” to solve classiﬁcation problems with millions of points. For example, 2 million points in 10 dimensional input space were classiﬁed by a linear surface in 82 minutes on a Pentium III 500 MHz notebook with 384 megabytes of memory (and additional swap space), and in 7 minutes on a 250 MHz UltraSPARC II processor with 2 gigabytes of memory. Other standard classiﬁcation test problems were also solved. Nonlinear kernel classiﬁcation can also be solved by LSVM. Although it does not scale up to very large problems, it can handle any positive semideﬁnite kernel and is guaranteed to converge. A short MATLAB code is also given for nonlinear kernels and tested on a number of problems.
Dissociable neural representations of reinforcement and belief prediction errors underlie strategic learning

Decision-making in the presence of other competitive intelligent agents is fundamental for social and economic behavior. Such decisions require agents to behave strategically, where in addition to learning about the rewards and punishments available in the environment, they also need to anticipate and respond to actions of others competing for the same rewards. However, whereas we know much about strategic learning at both theoretical and behavioral levels, we know relatively little about the underlying neural mechanisms. Here, we show using a multi-strategy competitive learning paradigm that strategic choices can be characterized by extending the reinforcement learning (RL) framework to incorporate agents’ beliefs about the actions of their opponents. Furthermore, using this characterization to generate putative internal values, we used model-based functional magnetic resonance imaging to investigate neural computations underlying strategic learning. We found that the distinct notions of prediction errors derived from our computational model are processed in a partially overlapping but distinct set of brain regions. Specifically, we found that the RL prediction error was correlated with activity in the ventral striatum. In contrast, activity in the ventral striatum, as well as the rostral anterior cingulate (rACC), was correlated with a previously uncharacterized belief-based prediction error. Furthermore, activity in rACC reflected individual differences in degree of engagement in belief learning. These results suggest a model of strategic behavior where learning arises from interaction of dissociable reinforcement and belief-based inputs.
Caffeine and blood pressure response: sex, age, and hormonal status.

PURPOSE The pressor effect of caffeine has been established in young men and premenopausal women. The effect of caffeine on blood pressure (BP) remains unknown in postmenopausal women and in relation to hormone replacement therapy (HRT) use. MATERIALS AND METHODS In a randomized, 2-week cross-over design, we studied 165 healthy men and women in 6 groups: men and premenopausal women (35-49 yrs) vs. men and postmenopausal women (50-64 yrs), with postmenopausal women divided into those taking no hormone replacements (HR), estrogen alone, or estrogen and progesterone. Testing during one week of the study involved 6 days of caffeine maintenance at home (80 mg, 3x/day) followed by testing of responses to a challenge dose of caffeine (250 mg) in the laboratory. The other week involved ingesting placebos on maintenance and lab days. Resting BP responses to caffeine were measured at baseline and at 45 to 60 min following caffeine vs placebo ingestion, using automated monitors. RESULTS Ingestion of caffeine resulted in a significant increase in systolic BP in all 6 groups (4 +/- .6, p < 0.01). Diastolic BP significantly increased in response to caffeine in all (3 +/- .4, p < 0.04) but the group of older men (2 +/- 1.0, p = 0.1). The observed pressor responses to caffeine did not vary by age. CONCLUSIONS Caffeine resulted in an increase in BP in healthy, normotensive, young and older men and women. This finding warrants the consideration of caffeine in the lifestyle interventions recommended for BP control across the age span.
Working Memory and Corrective Recasts in L2 Oral Production

It is hypothesized that working memory (WM) mediates the effectiveness of corrective feedback as a cognitive factor. Yet little is known about the mediating process itself. The present study investigates whether corrective recasts (CR) facilitate L2 learning and examines whether recast-driven L2 learning can be predicted by different aspects of WM. To this end, a pretest-immediate posttest- delayed posttest design was employed with three classes of first-year English majors from a Chinese university as test control, task control and CR groups. The effect of CR was evaluated using oral production (OP) tests and WM was measured by means of nonword span, digit span and listening span tests. The results showed that the CR group significantly improved its accuracy in the use of the final "s" of the third person singular from pretest to posttests and outperformed the test control group on the immediate posttest. There were differential relationships between the efficacy of CR and different components of WM. While nonword span predicted immediate and delayed OP performance, listening span predicted only the immediate language development and digit span seemed less relevant to L2 learning.
Phototherapy and Orange-Tinted Goggles for Night-Shift Adaptation of Police Officers on Patrol

The aim of the present combined field and laboratory study was to assess circadian entrainment in two groups of police officers working seven consecutive 8/8.5-h night shifts as part of a rotating schedule. Eight full-time police officers on patrol (mean age ± SD: 29.8 ± 6.5 yrs) were provided an intervention consisting of intermittent exposure to wide-spectrum bright light at night, orange-tinted goggles at sunrise, and maintenance of a regular sleep/darkness episode in the day. Orange-tinted goggles have been shown to block the melatonin-suppressing effect of light significantly more than neutral gray density goggles. Nine control group police officers (mean age ± SD: 30.3 ± 4.1 yrs) working the same schedule were enrolled. Police officers were studied before, after (in the laboratory), and during (ambulatory) a series of seven consecutive nights. Urine samples were collected at wake time and bedtime throughout the week of night work and during laboratory visits (1 × /3 h) preceding and following the work week to measure urinary 6-sulfatoxymelatonin (UaMT6s) excretion rate. Subjective alertness was assessed at the start, middle, and end of night shifts. A 10-min psychomotor vigilance task was performed at the start and end of each shift. Both laboratory visits consisted of two 8-h sleep episodes based on the prior schedule. Saliva samples were collected 2 × /h during waking episodes to assay their melatonin content. Subjective alertness (3 × /h) and performance (1 × /2 h) were assessed during wake periods in the laboratory. A mixed linear model was used to analyze the progression of UaMt6s excreted during daytime sleep episodes at home, as well as psychomotor performance and subjective alertness during night shifts. Two-way analysis of variance (ANOVA) (factors: laboratory visit and group) were used to compare peak salivary melatonin and UaMT6s excretion rate in the laboratory. In both groups of police officers, the excretion rate of UaMT6s at home was higher during daytime sleep episodes at the end compared to the start of the work week (p < .001). This rate increased significantly more in the intervention than control group (p = .032). A significant phase delay of salivary melatonin was observed in both groups at the end of study (p = .009), although no significant between-group difference was reached. Reaction speed dropped, and subjective alertness decreased throughout the night shift in both groups (p < .001). Reaction speed decreased throughout the work week in the control group (p ≤ .021), whereas no difference was observed in the intervention group. Median reaction time was increased as of the 5th and 6th nights compared to the 2nd night in controls (p ≤ .003), whereas it remained stable in the intervention group. These observations indicate better physiological adaptation in the intervention group compared to the controls. (Author correspondence: diane.boivin@douglas.mcgill.ca)
Fuzzy Meta-Learning: Preliminary Results

Learning from distributed data is becoming in our times a necessity, but it is also a complex and challenging task. Approaches developed so far have not dealt with the uncertainty, imprecision and vagueness involved in distributed learning. Meta-Learning, a successful approach for distributed data mining, is in this paper extended to handle the imprecision and uncertainty of the local models and the vagueness that characterizes the meta-learning process. The proposed approach, Fuzzy Meta-Learning uses a fuzzy inductive algorithm to meta-learn a global model from the degrees of certainty of the output of local classifiers. This way more accurate models of collective knowledge can be acquired from data with application both to inherently distributed databases and parts of a very large database. Preliminary results are promising and encourage further research towards this direction.
Maternal Immunization with Pneumococcal Surface Protein A Protects against Pneumococcal Infections among Derived Offspring

Pathogen-specific antibody plays an important role in protection against pneumococcal carriage and infections. However, neonates and infants exhibit impaired innate and adaptive immune responses, which result in their high susceptibility to pneumococci. To protect neonates and infants against pneumococcal infection it is important to elicit specific protective immune responses at very young ages. In this study, we investigated the protective immunity against pneumococcal carriage, pneumonia, and sepsis induced by maternal immunization with pneumococcal surface protein A (PspA). Mother mice were intranasally immunized with recombinant PspA (rPspA) and cholera toxin B subunit (CTB) prior to being mated. Anti-PspA specific IgG, predominantly IgG1, was present at a high level in the serum and milk of immunized mothers and in the sera of their pups. The pneumococcal densities in washed nasal tissues and in lung homogenate were significantly reduced in pups delivered from and/or breast-fed by PspA-immunized mothers. Survival after fatal systemic infections with various types of pneumococci was significantly extended in the pups, which had received anti-PspA antibody via the placenta or through their milk. The current findings strongly suggest that maternal immunization with PspA is an attractive strategy against pneumococcal infections during early childhood. (191 words)
FtsK actively segregates sister chromosomes in Escherichia coli

Bacteria use the replication origin-to-terminus polarity of their circular chromosomes to control DNA transactions during the cell cycle. Segregation starts by active migration of the region of origin followed by progressive movement of the rest of the chromosomes. The last steps of segregation have been studied extensively in the case of dimeric sister chromosomes and when chromosome organization is impaired by mutations. In these special cases, the divisome-associated DNA translocase FtsK is required. FtsK pumps chromosomes toward the dif chromosome dimer resolution site using polarity of the FtsK-orienting polar sequence (KOPS) DNA motifs. Assays based on monitoring dif recombination have suggested that FtsK acts only in these special cases and does not act on monomeric chromosomes. Using a two-color system to visualize pairs of chromosome loci in living cells, we show that the spatial resolution of sister loci is accurately ordered from the point of origin to the dif site. Furthermore, ordered segregation in a region ∼200 kb long surrounding dif depended on the oriented translocation activity of FtsK but not on the formation of dimers or their resolution. FtsK-mediated segregation required the MatP protein, which delays segregation of the dif-surrounding region until cell division. We conclude that FtsK segregates the terminus region of sister chromosomes whether they are monomeric or dimeric and does so in an accurate and ordered manner. Our data are consistent with a model in which FtsK acts to release the MatP-mediated cohesion and/or interaction with the division apparatus of the terminus region in a KOPS-oriented manner.
A concentration‐independent method to measure exchange rates in PARACEST agents

The efficiency of chemical exchange dependent saturation transfer (CEST) agents is largely determined by their water or proton exchange kinetics, yet methods to measure such exchange rates are variable and many are not applicable to in vivo measurements. In this work, the water exchange kinetics of two prototype paramagnetic agents (PARACEST) are compared by using data from classic NMR line‐width measurements, by fitting CEST spectra to the Bloch equations modified for chemical exchange, and by a method where CEST intensity is measured as a function of applied amplitude of radiofrequency field. A relationship is derived that provides the water exchange rate from the X‐intercept of a plot of steady‐state CEST intensity divided by reduction in signal caused by CEST irradiation versus 1/ω12, referred to here as an omega plot. Furthermore, it is shown that this relationship is independent of agent concentration. Exchange rates derived from omega plots using either high‐resolution CEST NMR data or CEST data obtained by imaging agree favorably with exchange rates measured by the more commonly used Bloch fitting and line‐width methods. Thus, this new method potentially allows access to a direct measure of exchange rates in vivo, where the agent concentration is typically unknown. Magn Reson Med 63:625–632, 2010. © 2010 Wiley‐Liss, Inc.
Maternal stress induces adult reduced REM sleep and melatonin level

We have previously reported that neonatal maternal deprivation (MD) resulted in a decrease of total sleep and an increase of orexin A in adult rats. Now, we characterized features of sleep, activity, and melatonin levels in rats neonatally treated with MD and control (MC) procedures. Adult male Sprague–Dawley rats were treated with either MD or MC procedures for 10 days starting at postnatal day 4. At 3 months of age, sleep was recorded for 48 h in one set of MD and MC rats, while another set of MD and MC rats was measured for locomotor activity (under LD = 12:12). Melatonin levels in the blood, pineal gland, and hypothalamus were measured as well as clock protein level in the hypothalamus. Compared to the MC rats, REM sleep in the MD rats was significantly reduced in the light periods but not in the dark periods. Both quiet wake and total wake in the MD rats were significantly increased during the light period compared to the MC rats. The weight of the pineal gland of the MD rats was significantly smaller than in MC rats. Melatonin levels of the MD group were significantly reduced in the pineal gland and hypothalamus compared to the MC group. No significant difference was identified between groups in the expression of the clock protein in the hypothalamus. Neonatal MD resulted in reduced REM sleep and melatonin levels, without changes of circadian cycle of locomotor activity and levels of clock protein. © 2011 Wiley Periodicals, Inc. Develop Neurobiol 72: 677–687, 2012