Miracle-dz/UniFAR-FTUs huggingface dataset:
Production of a Brushite/Silk Composite Powder for Coatings

The incorporation of protein based polymeric materials with calcium phosphate (CaP) coatings can provide excellent biological characteristics and biocompatibility with its bone-like protein-CaP composition. Calcium chloride-ethanol catalysed hydrolysis reaction and wet precipitation method was used to prepare silk solution and to precipitate brushite respectively to produce the brushite/silk composite powder. FTIR analyses showed that brushite absorption bands were prominent, overlapping the less intense N-H bands in silk. The most distinct absorptions from the silk were N-H bands. 1g of silk additive to the 300 ml of solution media resulted in arbitrary particle attachment onto brushite crystal surface; most of the brushite particles were covered by the silk β-sheets phase.
Do Parents Maintain or Exacerbate Pediatric Functional Abdominal Pain? A Systematic Review and Meta-analysis

Parents may maintain or exacerbate functional abdominal pain (FAP) in children through modeling of physical symptoms and solicitous responses to the child’s complaints. This systematic review and meta-analysis aimed to examine these relationships. Parents of children with FAP reported more physical symptoms than parents of healthy children (effect size d = .36). As all studies were cross-sectional or retrospective, the causal direction was unclear. For parental responses to child complaints, not enough studies were available to perform a meta-analysis. We conclude that the present literature is unfit to establish whether parents maintain or exacerbate pediatric FAP through the processes investigated.
The Combined Use of Electroconvulsive Therapy and Antipsychotics in Patients With Schizophrenia

Objectives: We sought to review the literature on the use of combined antipsychotic medications and electroconvulsive therapy (ECT) for the treatment of schizophrenia, with regard to efficacy, side effects, and ECT technique. Methods: A computerized search of the literature published from 1980 to 2004 was conducted on Medline and PsychoInfo using the words schizophrenia, antipsychotic, neuroleptic, psychotropic, and ECT. Only studies including patients with the diagnosis of schizophrenia were included. Results: We identified 42 articles including 1371 patients. The majority of the reports consist of uncontrolled studies (n = 31), mostly with typical antipsychotics (n = 23). Results from open studies suggest that the combination of ECT and antipsychotics is a very useful and safe strategy for the treatment of refractory schizophrenia. Double-blind controlled studies (n = 8) were inconclusive. Twelve articles were on the combination of clozapine and ECT. Initial concerns about the safety of the coadministration of clozapine and ECT were not substantiated, but despite the auspicious results from several case reports and 2 open trials, this combination remains understudied. Most studies preferred the bitemporal placement (n = 28), but because of insufficient data derived from direct comparisons, no conclusion on placement superiority can be reached. One study indicates that with the bilateral placement higher electrical dosages yields faster responses in this population. Conclusions: The body of the data provided by research is still insufficient to allow definitive conclusions on the combination of antipsychotics and ECT. However, the literature reviewed indicates that the combination is a safe and efficacious treatment strategy for patients with schizophrenia, especially those refractory to conventional treatments.
Replacement therapy for a homozygous protein C deficiency‐state using a concentrate of human protein C and S

A severe congenital deficiency of protein C was diagnosed in a 10‐month‐old girl who had been suffering from skin necrosis since the age of 7 months. The patient was treated initially with fresh frozen plasma, 10 ml per kg body weight, every 24 h. Following treatment, the mean plasma level of protein C was 0.1 U/ml after 30 min and less than 0.02 U/ml after 24 h. The child was then treated with a concentrate of human protein C and S, 100 U protein C per kg body weight, given every 48 h for a period of 9 months. The mean plasma level of protein C was 0.93 U/ml 30 min after administration of the concentrate and 0.13 and 0.08 U/ml after 24 and 48 h, respectively. The mean post‐transfusional in vivo recovery of protein C was 44% and the half life was 8.3 h. The mean plasma level of ‘free’protein S increased from 1.1 to 2.2 U/ml after administration of the concentrate. There was no increase in ‘bound’protein S. The in vivo recovery of ‘free’protein S was 49% and the half life was about 17 h. Since the start of this replacement therapy using a human protein C and S concentrate, the patient has not developed any thromboembolic complications. These results indicate the therapeutic value of human protein C and S concentrate in the treatment of severe protein C deficiency.
Benefits and pitfalls of the use of intrapartum ultrasound

Ultrasound in labour (intrapartum ultrasound) has come to the fore in the last decade stemming from both an increased desire for a reliable method of labour assessment coupled with increased availability of ultrasound on the delivery suite. The use of ultrasound in the delivery suite currently is predominantly for presentation, amniotic fluid and fetal heart assessment, but there is a growing acknowledgement that ultrasound parameters could be used in assessing the progress of labour, and potentially in predicting labour outcome. 1 The need for an objective method of assessing labour was first recognised as early as 1977 with the first known publication on intrapartum scanning. 2 A more comprehensive review of intrapartum ultrasound, incorporating some concepts that are standard in contemporary practice was described in a Russian PhD thesis from the mid‐1990s. 3 There is the need, if not an alternative, then at least an adjunctive to digital vaginal examinations (VE). Digital VEs are associated with ascending infection to the fetus, 4 chorioamnionitis 5 and endometritis as well as reduced time to delivery in preterm labour. 5 The examination itself may also be an uncomfortable experience for the labouring woman. 6 In some circumstances, digital vaginal examinations (VEs) are contraindicated, such as Placenta Praevia or Preterm Prelabour Rupture Of Membranes (PPROM). For some women with a fear of childbirth, previous sexual trauma or vaginismus, digital VEs are especially traumatic and for these women special arrangements are usually made to avoid examination except where absolutely necessary. Irrespective of these concerns, digital VE is a notoriously subjective technique and agreement between observers is frequently poor. 7 , 8
Global dissipativity in the mean square of stochastic Cohen-Grossberg neural networks with time delays

In this paper, the problem of global dissipativity in the mean square is discussed for stochastic Cohen-Grossberg neural networks with time delays. By constructing general Lyapunov functions, combining with Itô's formula, several sufficient conditions for the global dissipativity in the mean square are derived. Moreover, we give out the estimations of globally attractive sets. Finally, one example is given to show the effectiveness of the proposed criteria.
Structural Alterations in the Corpus Callosum Are Associated with Suicidal Behavior in Women with Borderline Personality Disorder

Structural alterations in the corpus callosum (CC), the major white matter tract connecting functionally related brain regions in the two hemispheres, have been shown to be associated with emotional instability, impulsivity and suicidality in various mental disorders. To explore whether structural alterations of the CC would be similarly associated with emotional instability, impulsivity and suicidality in borderline personality disorder (BPD), we used diffusion tensor imaging (DTI) to assess the structural integrity of the CC in 21 BPD and 20 healthy control (HC) participants. Our hypothesis-driven analyses revealed a positive correlation between BPD participants’ suicidal behavior and fractional anisotropy (FA) in the splenium and genu of the CC and a negative correlation between BPD participants’ suicidal behavior and mean diffusivity (MD) in the splenium of CC. Our exploratory analyses suggested that suicidal BPD participants showed less FA and more MD in these regions than HC participants but that non-suicidal BPD participants showed similar FA and MD in these regions as HC participants. Taken together, our findings suggest an association between BPD participants’ suicidal behavior and structural alterations in regions of the CC that are connected with brain regions implicated in emotion regulation and impulse control. Structural alterations of the CC may, thus, account for deficits in emotion regulation and impulse control that lead to suicidal behavior in BPD. However, these findings should be considered as preliminary until replicated and extended in future studies that comprise larger samples of suicidal and non-suicidal BPD participants.
A Quantitative Model for Dynamic Security Analysis of Wireless Sensor Networks

The main purpose of wireless sensor networks (WSNs) is to gather physical data from a target region and make them available for interested users. However, the unique characteristics of sensor nodes (e.g., limited resources, deployment in open areas) make them vulnerable to physical attacks. Once a node is physically captured by an adversary, it can be modified to perform malicious activities to corrupt the gathered sensor data of the WSN. Although intrusion detection system (IDS) can be deployed to raise alerts when malicious nodes are detected, the alerts usually do not provide any insights on the criticality of the attack or on how sensor data from other nodes may be affected. This paper introduces the dynamic security measure (DSM), a security metric model that enables an online quantitative security analysis of sensor nodes and data provided to users. In particular, DSM combines information about the communication pattern of nodes with IDS alerts received, in real-time, to estimate the probability that data messages from each node have not been compromised by ongoing attacks. Experimental results show that DSM can accurately estimate security level with low performance overhead and power consumption.
Trends in the incidence, severity, and short-term outcome of stroke in perth, Western Australia.

BACKGROUND AND PURPOSE This report describes trends in the key indices of cerebrovascular disease over 6 years from the end of the 1980s in a geographically defined segment of the city of Perth, Western Australia. METHODS Identical methods were used to find and assess all cases of suspected stroke in a population of approximately 134 000 residents in a triangular area of the northern suburbs of Perth. Case fatality was measured as vital status at 28 days after the onset of symptoms. Data for first-ever strokes and for all strokes for equivalent periods of 12 months in 1989-1990 and 1995-1996 were compared by age-standardized rates and proportions and Poisson regression. RESULTS There were 355 strokes in 328 patients and 251 first-ever strokes (71%) for 1989-1990 and 290 events in 281 patients and 213 first-ever strokes (73%) for 1995-1996. In Poisson models including age and period, overall trends in the incidence of both first-ever strokes (rate ratio=0.75; 95% confidence limits, 0.63, 0.90) and all strokes (rate ratio=0.73; 95% confidence limits, 0.62, 0.85) were obviously significant, but only the changes in men were independently significant. Case fatality did not change, and the balance between hemorrhagic and occlusive strokes in 1995-1996 was almost indistinguishable from that observed in 1989-1990. CONCLUSIONS Our results, which are the only longitudinal population-based data available for Australia for key indices of stroke, suggest that it is a change in the frequency of stroke, rather than its outcome, that is chiefly responsible nationally for the fall in mortality from cerebrovascular disease.
Can Voluntary Nutrition Labeling Lead to a Healthier Food Market

This article reviews approaches to voluntary nutrition labeling (VNL), such as front-ofpackage (FOP) labels, that emerged in the 2001-2014 period to provide simplified nutrition information, thus lowering the search cost for nutritional information. We present a market model to assess consumer and producer responses to changes in information search cost brought about by VNL. We specifically focus on the introduction of VNL in the ready-toeat cereal (RTEC) market and illustrate trends in labeling and the overall healthfulness of RTEC products. Both the conceptual and empirical evidence suggest that VNL has been instrumental in attaining a healthier RTEC market. Finally, we suggest a research agenda to further theory development and empirical (experimental and big data) research to better comprehend the role of VNL in relation to market healthfulness.
Speed control of brushless DC motor using intelligent controllers

The brushless dc motors are widely used in the servo motor application because of their different advantages over conventional DC motors. However high performance motor drives require fast and accurate speed response of the system, quick recovery of speed from any disturbance and sensitivity to motor parameter variation. To operate the motor with proper reference speed different controllers are widely used in industrial application. In this present work, genetic algorithm based PID controller is used to tune the PID controller parameters for speed control of BLDC motor. Ziegler-Nicholas tuning formula is used for tuning and gain predication of GA-PI and GA-PID controller. Genetic algorithm is a robust optimization technique based on natural selection. The basic goal of GA to optimize the fitness function. In the present work we use integral square error (ISE) based fitness function to optimize the gain co-efficient of PID controller by considering the different parameters such as rise time settling time and overshoot of the response. Simulation results obtained from different conventional controllers as well fuzzy-PID controller are compared with the GA-PI and GA-PID controllers.
A scalable data repository for recording self-managed longitudinal health data of digital patients

This paper presents the proof-of-concept design of the data repository for 4D digital avatars in the MyHealthAvatar project. Taking account of the privacy and legal issues of patient health information, the research generates a set of synthetic data based on publicly available survey data. At the prototype stage, these synthetic data are used in the scenarios of data storage and management. The paper discusses the early proof-of-concept design of the technical stack which enables the storage and query of large scale patients' health data and empowers the future data mining and analysis for health care support. It provides the first stage implementation and the use of it for data analytics.
A semantic data lake framework for autonomous fault management in SDN environments

Fault Management is a vital issue for any network operator since the beginning of the telecommunications era. As networks have become more and more complex, their management systems are crucial for any operator company. In this ecosystem, the Software‐Defined Networking (SDN) approach has appeared as a possible solution for different networking issues. The flexibility provided by SDN to the network management enables a great dynamism in the configuration of network devices. However, this feature introduces the cost of a potential increase in failures because every modification introduced on the control plane is a new possibility for failures to appear and cause a decrement of the quality for offered services. Because of the growing pace of the networks, the classical approach is not feasible to cope that dynamism. Increasing the number of human operators in charge of the fault management process would increase the operation cost dramatically. Thus, this paper presents an approach to apply machine learning over a big data framework for an autonomous fault management process in SDN networks. In this paper, we present a Semantic Data Lake framework for a self‐diagnosis service, which is deployed on top of an SDN management platform. Moreover, we have developed a prototype of the proposed service with different diagnosis models for SDN networks. Models and algorithms have been evaluated showing good results.
Interest Rates, Debt and Intertemporal Allocation: Evidence from Notched Mortgage Contracts in the United Kingdom

Using a novel source of quasi-experimental variation in interest rates, we study the response of household debt and intertemporal consumption allocation to interest rates. We also develop a new approach to structurally estimate the Elasticity of Intertemporal Substitution (EIS). In the United Kingdom, the mortgage interest rate schedule features discrete jumps — notches — at thresholds for the loan-to-value (LTV) ratio, creating strong incentives for bunching below those thresholds. We document large and sharp bunching below every notch, which translates into sizable interest elasticities of mortgage debt, between 0.1 and 1.4 across different LTV levels. We develop a dynamic model that links these reduced-form responses to the underlying structural EIS. The EIS is much smaller and less heterogeneous than the reduced-form elasticities, between 0.05-0.25 across LTV levels and household types. We show that our structural approach is robust to a wide range of assumptions on beliefs about the future, uncertainty, risk aversion, discount factors and present bias. Our findings have implications for the numerous calibration studies in economics that rely on larger values of the EIS.
Improved EEG based human authentication system on large dataset

The genetic traits in the Electroencephalogram (EEG), has made it a possible characteristic for the continuous biometric human verification. It is important for a biometric characteristic to have an acceptable performance on large populations besides satisfying the main requirements of a biometric system such as uniqueness, universality, acceptability, permanence, collectability, circumvention and measurability. In the present work we have proposed an EEG based human authentication system on a large dataset containing 104 healthy subjects; an issue which has not been focused in the literature. The method has been examined in two situations, closed and opened eyes. By extracting Autoregressive (AR) coefficients as the feature set, selecting the features using a statistical based method, doing a two-step feature normalization and selecting reference sweeps, the proposed system achieved to 97.43±0.00% accuracy using only 10% of the data in the training step.
Biochemical characterization of two (C300F, P425T) arylsulfatase a missense mutations

Metachromatic leukodystrophy (OMIM 250100) is a lysosomal storage disease caused by the deficiency of arylsulfatase A (ARSA, EC 3.1.6.8). This disease affects mainly the nervous system, because patients cannot degrade 3‐O‐sulfo‐galactosylceramide (sulfatide), a major myelin lipid. Here we describe the characterization of the biochemical effects of two arylsulfatase A missense mutations, P425T and C300F. Transfection experiments demonstrate the expression of residual ARSA enzyme activity for P425T, but not for C300F substituted ARSA. Relative specific activity determination showed that the P425T substituted enzyme has retained about 12% of specific enzyme activity, whereas the C300F substituted enzyme is reduced to less than 1%. Pulse‐chase experiments reveal that both mutant proteins are unstable, with a half life of less than 6 hr. Increased secretion upon addition of NH4Cl indicates that the mutant proteins can pass the Golgi apparatus and thus are not degraded in the endoplasmic reticulum (ER), but in the lysosomes. This is supported by experiments, which demonstrate the presence of mannose‐6‐phosphate residues on the oligosaccharide side chains of the mutant proteins. Addition of the cysteine protease inhibitor leupeptin increases the amount of ARSA activity in cells expressing the P425T substituted enzyme, whereas no increase in activity was seen with C300F substituted ARSA. © 2002 Wiley‐Liss, Inc.
Ascorbic Acid Increases the Thrombogenicity of Cellular Matrices

Summary We have studied the influence of ascorbate on extracellular matrix formation in cultured human endothelial cells, smooth muscle cells and fibroblasts and measured the influence of the changed composition of their isolated extracellular matrices on their affinity for platelets. When endothelial cells were grown for a week in the presence of ascorbate, no influence on proline incorporation in their extracellular matrix was found. In accordance, no influence on platelet adhesion or aggregate formation on these matrices was detected. When smooth muscle cells were cultured in the presence of ascorbate, a strong increase in the amount of collagen types I and III in the extracellular matrix was found. When these matrices were perfused with whole blood, a significant enhanced increase in aggregate formation was observed. No influence was seen on the total coverage of the matrix with platelets. When fibroblasts were grown in the presence of ascorbate, no significant increase in proline incorporation in their matrix was measured. However, an increased adhesion of platelets was seen to the matrices at lower shear rates. We conclude that ascorbate feeding has a significant effect on endogenous deposited matrices of smooth muscle cells and fibroblasts, and that the changed composition had profound effects on platelet interaction with these matrices.
Uncertainty-Sensitive Reasoning for Inferring sameAs Facts in Linked Data

Discovering whether or not two URIs described in Linked Data -- in the same or different RDF datasets -- refer to the same real-world entity is crucial for building applications that exploit the cross-referencing of open data. A major challenge in data interlinking is to design tools that effectively deal with incomplete and noisy data, and exploit uncertain knowledge. In this paper, we model data interlinking as a reasoning problem with uncertainty. We introduce a probabilistic framework for modelling and reasoning over uncertain RDF facts and rules that is based on the semantics of probabilistic Datalog. We have designed an algorithm, ProbFR, based on this framework. Experiments on real-world datasets have shown the usefulness and effectiveness of our approach for data linkage and disambiguation.
Three Hybrid Classifiers for the Detection of Emotions in Suicide Notes

We describe our approach for creating a system able to detect emotions in suicide notes. Motivated by the sparse and imbalanced data as well as the complex annotation scheme, we have considered three hybrid approaches for distinguishing between the different categories. Each of the three approaches combines machine learning with manually derived rules, where the latter target very sparse emotion categories. The first approach considers the task as single label multi-class classification, where an SVM and a CRF classifier are trained to recognise fifteen different categories and their results are combined. Our second approach trains individual binary classifiers (SVM and CRF) for each of the fifteen sentence categories and returns the union of the classifiers as the final result. Finally, our third approach is a combination of binary and multi-class classifiers (SVM and CRF) trained on different subsets of the training data. We considered a number of different feature configurations. All three systems were tested on 300 unseen messages. Our second system had the best performance of the three, yielding an F1 score of 45.6% and a Precision of 60.1% whereas our best Recall (43.6%) was obtained using the third system.