Miracle-dz/UniFAR-FTUs huggingface dataset:
Maternal burn-out: an exploratory study

Abstract Introduction: Maternal burn-out is a psychological, emotional and physiological condition resulting from the accumulation of various stressors characterised by a moderate but also a chronic and repetitive dimension. Little research has focused on this syndrome. Objective: The current study aims to assess maternal burn-out rate and to identify factors associated with this state of exhaustion. Method: 263 French mothers aged between 20 and 49 years answered five scales quantifying maternal burn-out, perceived social support, parental stress, depression and anxiety symptoms and history of postnatal depression. Results: About 20% of mothers were affected by maternal burn-out. The main factors related to maternal burn-out were having a child perceived as difficult, history of postnatal depression, anxiety, satisfaction of a balance between professional and personal life and parental stress. Conclusion: This research shows the need for further work on maternal burn-out to better understand and prevent this syndrome.
Silk coating on a bioactive ceramic scaffold for bone regeneration: effective enhancement of mechanical and in vitro osteogenic properties towards load‐bearing applications

Bioactive ceramic scaffolds represent competitive choices for clinical bone reconstruction, but their widespread use is restricted by inherent brittleness and weak mechanical performance under load. This study reports the development of strong and tough bioactive scaffolds suitable for use in load‐bearing bone reconstruction. A strong and bioactive ceramic scaffold (strontium–hardystonite–gahnite) is combined with single and multiple coating layers of silk fibroin to enhance its toughness, producing composite scaffolds which match the mechanical properties of cancellous bone and show enhanced capacity to promote in vitro osteogenesis. Also reported for the first time is a comparison of the coating effects obtained when a polymeric material is coated on ceramic scaffolds with differing microstructures, namely the strontium–hardystonite–gahnite scaffold with high‐density struts as opposed to a conventional ceramic scaffold, such as biphasic calcium phosphate, with low‐density struts. The results show that silk coating on a unique ceramic scaffold can lead to simple and effective enhancement of its mechanical and biological properties to suit a wider range of applications in clinical bone reconstruction, and also establish the influence of ceramic microstructure on the effectiveness of silk coating as a method of reinforcement when applied to different types of ceramic bone graft substitutes. Copyright © 2015 John Wiley & Sons, Ltd.
Both Geography and Ecology Contribute to Mating Isolation in Guppies

Local adaptation to different environments can promote mating isolation – either as an incidental by-product of trait divergence, or as a result of selection to avoid maladaptive mating. Numerous recent empirical examples point to the common influence of divergent natural selection on speciation based largely on evidence of strong pre-mating isolation between populations from different habitat types. Accumulating evidence for natural selection's influence on speciation is therefore no longer a challenge. The difficulty, rather, is in determining the mechanisms involved in the progress of adaptive divergence to speciation once barriers to gene flow are already present. Here, we present results of both laboratory and field experiments with Trinidadian guppies (Poecilia reticulata) from different environments, who do not show complete reproductive isolation despite adaptive divergence. We investigate patterns of mating isolation between populations that do and do not exchange migrants and show evidence for both by-product and reinforcement mechanisms depending on female ecology. Specifically, low-predation females discriminate against all high-predation males thus implying a by-product mechanism, whereas high-predation females only discriminate against low-predation males from further upstream in the same river, implying selection to avoid maladaptive mating. Our study thus confirms that mechanisms of adaptive speciation are not necessarily mutually exclusive and uncovers the complex ecology-geography interactions that underlie the evolution of mating isolation in nature.
A Spatial and Temporal Nonlocal Filter-Based Data Fusion Method

The tradeoff in remote sensing instruments that balances the spatial resolution and temporal frequency limits our capacity to monitor spatial and temporal dynamics effectively. The spatiotemporal data fusion technique is considered as a cost-effective way to obtain remote sensing data with both high spatial resolution and high temporal frequency, by blending observations from multiple sensors with different advantages or characteristics. In this paper, we develop the spatial and temporal nonlocal filter-based fusion model (STNLFFM) to enhance the prediction capacity and accuracy, especially for complex changed landscapes. The STNLFFM method provides a new transformation relationship between the fine-resolution reflectance images acquired from the same sensor at different dates with the help of coarse-resolution reflectance data, and makes full use of the high degree of spatiotemporal redundancy in the remote sensing image sequence to produce the final prediction. The proposed method was tested over both the Coleambally Irrigation Area study site and the Lower Gwydir Catchment study site. The results show that the proposed method can provide a more accurate and robust prediction, especially for heterogeneous landscapes and temporally dynamic areas.
Plasma MicroRNA-21, 26a, and 29a-3p as Predictive Markers for Treatment Response Following Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma

Background We investigated an association between the levels of plasma microRNA (miRNA)-21, -26a, and -29a-3p and treatment outcomes following transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC). Methods A total of 198 patients with TACE-treated HCC were followed up for TACE refractoriness and liver transplantation (LT)-free survival. Pretreatment plasma miRNA-21, -26a, and -29a-3p levels were measured using quantitative real-time polymerase chain reaction. Results During the mean follow-up of 22.3 (range, 0.7–79) months, 118 (59.6%) patients exhibited TACE refractoriness. Multivariate analyses showed that expression of a specific combination of miRNAs (miRNA-21 ≥ 2.5, miRNA-26a ≥ 1.5, and miRNA-29a-3p < 0.4) was associated with early TACE refractoriness (within 1 year; hazard ratio [HR], 2.32; 95% confidence interval [CI], 1.08–4.99; P = 0.031) together with tumor size (HR, 4.62; 95% CI, 1.50–14.21; P = 0.008), and macrovascular invasion (HR, 3.80; 95% CI, 1.19–12.20; P = 0.025). However, miRNA-21, -26a, and -29a-3p levels were not significantly associated with overall TACE refractoriness or LT-free survival. Additionally, large tumor size and macrovascular invasion were common predictive factor of overall TACE refractoriness and survival. Conclusion Combination of plasma miRNA-21, -26a, and -29a-3p expression could predict early TACE refractoriness in patients with TACE-treated HCC.
Joint Longitudinal and Survival-cure Modelswith Constrained Parameters in TumourXenograft Experiments

In tumour xenograft experiments, treatment regimens are ad- ministered and the tumour volume of each individual is measured repeatedly over time. Survival data are recorded due to the death of some individuals during the observation time period. Also, cure data are observed due to a portion of individuals who are completely cured in the experiments. When modelling these data, certain constraints have to be imposed on the param- eters in the models to account for the intrinsic growth of the tumour in the absence of treatment. Also, the likely inherent association of longitudinal and survival-cure data has to be taken into account in order to obtain unbi- ased estimators of parameters. In this paper, we propose such models for the joint modelling of longitudinal and survival-cure data arising in xenograft experiments. Estimators of parameters in the joint models are obtained us- ing a Markov chain Monte Carlo approach. Real data analysis of a xenograft experiment is carried out and simulation studies are also conducted, show- ing that the proposed joint modelling approach outperforms the separate modelling methods in the sense of mean squared errors.
Seasonal Variation of Tsetse Fly Species Abundance and Prevalence of Trypanosomes in the Maasai Steppe, Tanzania

ABSTRACT: Tsetse flies, the vectors of trypanosomiasis, represent a threat to public health and economy in sub-Saharan Africa. Despite these concerns, information on temporal and spatial dynamics of tsetse and trypanosomes remain limited and may be a reason that control strategies are less effective. The current study assessed the temporal variation of the relative abundance of tsetse fly species and trypanosome prevalence in relation to climate in the Maasai Steppe of Tanzania in 2014–2015. Tsetse flies were captured using odor-baited Epsilon traps deployed in ten sites selected through random subsampling of the major vegetation types in the area. Fly species were identified morphologically and trypanosome species classified using PCR. The climate dataset was acquired from the African Flood and Drought Monitor repository. Three species of tsetse flies were identified: G. swynnertoni (70.8%), G. m. morsitans (23.4%), and G.pallidipes (5.8%). All species showed monthly changes in abundance with most of the flies collected in July. The relative abundance of G. m. morsitans and G. swynnertoni was negatively correlated with maximum and minimum temperature, respectively. Three trypanosome species were recorded: T. vivax (82.1%), T. brucei (8.93%), and T. congolense (3.57%). The peak of trypanosome infections in the flies was found in October and was three months after the tsetse abundance peak; prevalence was negatively correlated with tsetse abundance. A strong positive relationship was found between trypanosome prevalence and temperature. In conclusion, we find that trypanosome prevalence is dependent on fly availability, and temperature drives both tsetse fly relative abundance and trypanosome prevalence.
Classification and Discrimination Among Winding Mechanical Defects, Internal and External Electrical Faults, and Inrush Current of Transformer

In this paper, the mechanical faults of transformers including the winding radial deformation and axial displacement on 1.6 MVA transformer winding are investigated. Then, by estimating the parameters of the detailed model of this transformer winding in MATLAB software and changing these parameters in a manner that is proportional to the mechanical defects in electro-magnetic transients program software, the sampled differential current of the transformer is extracted for each disturbance. Next, the internal and external electrical faults and inrush current of the transformer are simulated. Afterwards, these signals are analyzed using maximal overlap discrete wavelet transform with Daubechies4 wavelet function, and their features are extracted. These extracted features are considered for training the classifiers of Decision Tree and artificial neural network. According to the simulation results, the proposed procedure is capable of classifying and discriminating among winding mechanical defects, internal and external electrical faults, and inrush current with a good accuracy that is the main novelty of this paper in comparison to other published works, which are limited to classifying only some of the mentioned faults.
How to Train Your Neural Network with Dictionary Learning

Currently there are two predominant ways to train deep neuralnetworks. The first one uses restricted Boltzmann machine (RBM) and the second one autoencoders. RBMs are stacked in layers to form deep belief network (DBN), the final representation layer is attached to the target to complete the deep neural network. Autoencoders are nested one inside the other to form stacked autoencoders, once the stcaked autoencoder is learnt the decoder portion is detached and the target attached to the deepest layer of the encoder to form the deep neural network. This work proposes a new approach to train deep neural networks using dictionary learning as the basic building block, the idea is to use the features from the shallower layer as inputs for training the next deeper layer. One can use any type of dictionary learning (unsupervised, supervised, discriminative etc.) as basic units till the pre-final layer. In the final layer one needs to use the label consistent dictionary learning formulation for classification. We compare our proposed framework with existing state-of-the art deep learning techniques on benchmark problems, we are always within the top 10 results. In actual problems of age and gender classification, we are better than the best known techniques.
Head Shadow and Binaural Squelch for Unilaterally Deaf Cochlear Implantees.

BACKGROUND Cochlear implants (CIs) can improve speech-in-noise performance for listeners with unilateral sensorineural deafness. But these benefits are modest and in most cases are limited to head-shadow advantages, with little evidence of binaural squelch. HYPOTHESIS The goal of the investigation was to determine whether CI listeners with normal hearing or moderate hearing loss in the contralateral ear would receive a larger head-shadow benefit for target speech and noise originating from opposite sides of the head, and whether listeners would experience binaural squelch in the free field in a test involving interfering talkers. METHODS Eleven CI listeners performed a speech-identification task in the presence of interfering noise or speech. Six listeners had single-sided deafness (normal or near-normal audiometric thresholds in the acoustic ear) and five had asymmetric hearing loss (hearing loss in the acoustic ear treated with a hearing aid). Listeners were tested with the acoustic ear only and bilaterally with the CI turned on. One set of conditions examined head-shadow effects with target speech and masking noise presented from azimuths of 0 or ±108 degrees. A second set of conditions examined binaural squelch, with target speech presented from the front and interfering talkers symmetrically placed on both sides. RESULTS On average, the largest head-shadow benefit (5 dB) occurred when the target and masking noise were presented on opposite sides of the head. Listeners also showed an average of 2 dB of squelch, but only when the target speech was masked by interfering talkers of the same sex as the target. CONCLUSIONS CIs provide listeners with unilateral deafness important benefits for speech perception in complex spatial environments, including a larger head-shadow benefit when speech and noise originate on opposite sides of the head, and an improved ability to perceptually organize an auditory scene with multiple competing voices.The views expressed in this abstract are those of the authors and do not reflect the official policy of the Department of Army/Navy/Air Force, Department of Defense, or US Government.
Predictors of complications in heat‐treated autograft reconstruction after intercalary resection for malignant musculoskeletal tumors of the extremity

Biological reconstruction with recycled heat‐treated autografts has been an option for a segmental skeletal defect after intercalary resection for malignant musculoskeletal tumors in the extremity. This study was undertaken to evaluate the clinical outcomes in patients treated with this procedure and identify factors affecting the incidence of complications.
Development of rehabilitation system using virtual reality

This project describes the development of virtual reality(VR) for rehabilitation purpose. The main objective is to develop virtual reality applications for post-stroke rehabilitation. The rehabilitation training involves motor and balance rehabilitation. There are two applications that have been developed in this project to serve motor dysfunction and balance impairment. The main technology employed in this project is immersive virtual reality. The use of VR headset enables an individual to expose the three dimensional virtual environment. Then, the immersive virtual reality is capable to offer mirror therapy in post-stroke rehabilitation and thus aids in recovery. With the integration of leap motion sensor and kinect sensor, the individual is allowed to interact with the virtual world. This project proves that virtual reality is able to improve the performance of physical rehabilitation training.
Prognostic Value of Serum Procalcitonin After Orthopedic Surgery in the Elderly Population

Background Orthopedic surgery is more and more frequent in the older patients and is associated with a high mortality rate. Although serum procalcitonin levels are associated with prognosis in young adults, data are still lacking in the elderly population, and especially after surgery. The main objective of this study was to determine the prognostic value of procalcitonin levels in a large geriatric orthopedic population, and we compared it with clinical variables and biomarkers. Methods This is a prospective study including patients admitted in our dedicated geriatric postoperative unit, after orthopedic surgery with immediate postoperative measured procalcitonin levels. Collected data included age, sex, medical history, functional status (activities of daily living [ADL]), fracture type, Cumulative Illness Rating scale (CIRS), postoperative complications, and biological data. The primary endpoint was the 30-day mortality. Results 436 patients (age 85±6 years) were included. Hip fracture surgery was the most frequent (n = 310; 71%), and the 30-day mortality rate was 6.9%. Compared with C-reactive protein (CRP), albumin, CIRS, and ADL, procalcitonin had the highest area under the receiver operating characteristic curve for predicting 30-day mortality (0.74; 95% CI: 0.70-0.78). Using a cutoff at 1 µg/L, procalcitonin was more specific than CIRS to predict 30-day mortality (92 vs 77%; p < .001). In a multivariable analysis, procalcitonin level higher than 0.39 µg/L is a significant predictor of mortality within 30 days (odds ratio 3.84; 95% CI: 1.61-9.14, p = .002). Conclusion Elevated procalcitonin values were strongly and significantly associated with mortality within 30 days in older patients after orthopedic surgery.
The Spectrum and Burden of Influenza-Associated Neurological Disease in Children: Combined Encephalitis and Influenza Sentinel Site Surveillance From Australia, 2013–2015

Background There are few longitudinal studies of seasonal influenza associated neurological disease (IAND) and none from the Southern hemisphere. Methods We extracted prospectively acquired Australian surveillance data from two studies nested within the Paediatric Active Enhanced Disease Surveillance (PAEDS) network: the Influenza Complications Alert Network (FluCAN) study and the Australian Childhood Encephalitis (ACE) study between 2013 and 2015. We described the clinical features and severity of IAND in children, including influenza associated encephalitis/encephalopathy (IAE). We calculated the proportion of hospitalised influenza that is associated with IAND and IAE, and incidence of IAE. Results Over three influenza seasons, we identified 54 cases of IAND at two tertiary children's hospitals from Australia that accounted for 7.6% of hospitalised influenza. These included 10 cases of IAE (1.4% hospitalised influenza). The mean annual incidence of IAE amongst Australian children (aged ≤14 years) was 2.8 per 1 000 000. The spectrum of IAND was broad and included: IAE (10) including distinct acute encephalopathy syndromes, simple febrile seizures (14), other seizures (16), acute ataxia (4), and other sub-acute syndromes (transverse myelitis (1), opsoclonus myoclonus (1)). Two thirds of children with IAND were aged ≤4 years; less than half had pre-existing neurological disease or other risk factors for severe influenza. IAE caused death or neurological morbidity in half of cases. Conclusions Seasonal influenza is an important cause of acute neurological disease in Australian children. The spectrum of seasonal IAND appears similar to that described during the 2009 H1N1 pandemic. IAE is associated with high morbidity and mortality.
CCFold: rapid and accurate prediction of coiled-coil structures and application to modelling intermediate filaments

Accurate molecular structure of the protein dimer representing the elementary building block of intermediate filaments (IFs) is essential towards the understanding of the filament assembly, rationalizing their mechanical properties and explaining the effect of disease-related IF mutations. The dimer contains a ∼300-residue long α-helical coiled coil which is not assessable to either direct experimental structure determination or modelling using standard approaches. At the same time, coiled coils are well-represented in structural databases. Here we present CCFold, a generally applicable threading-based algorithm which produces coiled-coil models from protein sequence only. The algorithm is based on a statistical analysis of experimentally determined structures and can handle any hydrophobic repeat patterns in addition to the most common heptads. We demonstrate that CCFold outperforms general-purpose computational folding in terms of accuracy, while being faster by orders of magnitude. By combining the CCFold algorithm and Rosetta folding we generate representative dimer models for all IF protein classes. The source code is freely available at https://github.com/biocryst/IF
A qualitative systematic review of published work on disclosure and help-seeking for domestic violence and abuse among women from ethnic minority populations in the UK

ABSTRACT Introduction: Domestic violence and abuse has been recognised as an international public health problem. However, the pervasiveness of the problem is unknown due in part to underreporting, especially among women from ethnic minority populations. In relation to this group, this review seeks to explore: (1) the barriers to disclosure; (2) the facilitators of help-seeking; and (3) self-perceived impacts of domestic violence. Design: We systematically identified published qualitative studies conducted among women from ethnic minority populations in the UK. Data analysis was completed using thematic analysis approach. Result: 562 papers were identified and eight papers from four studies conducted among women from ethnic minority populations in the UK met the inclusion criteria and were reviewed. Barriers to disclosure include: Immigration status, community influences, problems with language and interpretation, and unsupportive attitudes of staff within mainstream services. Facilitators of help-seeking were: escalation of abuse and safety of children. Self-perceived impact of abuse includes: shame, denial, loss of identity and lack of choice. Conclusion: There is an on-going need for staff from domestic violence services to be aware of the complexities within which women from ethnic minority populations experience domestic violence and abuse.