Miracle-dz/UniFAR-FTUs huggingface dataset:
Transracially Adoptive Parents’ Colorblindness and Discrimination Recognition: Adoption Stigma as Moderator

Objectives: In a sample of transracially adoptive parents, this study examined the moderating role of adoption stigma in the relationship between their colorblind attitudes and their perceptions of different forms of discrimination. Specifically, we hypothesized that parents’ colorblind attitudes would be negatively related to their perceptions of their adopted children’s experiences with racism and their views toward racial microaggressions and institutional racism. We also hypothesized that perceived adoption stigma would moderate these relationships, such that the inverse association between colorblindness and the 3 outcome variables would be weakened by adoption stigma. Method: A total of 172 White parents (Mage = 48.41) with adopted children of color participated in the study by completing questionnaires about their experiences as transracially adoptive parents. Women comprised 74% of participants. Results: Results indicated that the relationship between participants’ colorblind attitudes and their reports of adoptees’ racist experiences was enhanced at nearly all levels perceived adoption stigma. In addition, results revealed that at high levels of perceived adoption stigma (75th and 90th percentiles), the magnitude of the relationships between colorblind attitudes with microaggressions and institutional discrimination was significantly reduced and became nonsignificant for parents with younger adoptees but not older adoptees. Conclusions: Findings point to the potential benefits of helping transracially adoptive parents explore different dimensions of their own social-cultural identity as a way to enhance their ability to recognize different forms of discrimination that their adopted children may face.
Effect of probiotics on the amount and pH of saliva in edentulous patients: A Prospective study

Context: Probiotics have been prescribed to old aged patients' invariably with or without complete dentures for improving their digestive process. It is mentioned that probiotics do have an effect in increasing the amount of saliva in the oral cavity. Therefore, this study was planned to evaluate the amount and pH of saliva after using probiotics for 60 days in completely edentulous patients. Aim: This study aims to evaluate the amount and pH of saliva of edentulous patients before and after using probiotics. Settings and Design: The interventional prospective study was conducted at the department of prosthodontics of the institute. Methods: The study was conducted on edentulous patients. The whole unstimulated and stimulated saliva was collected at baseline and amount, and pH was measured. Then, each patient was given probiotic capsules reaching 3.3 × 107 CFU/g to consume daily once for 60 days. Saliva was recollected from patients, and its amount and pH was calculated and compared with baseline. Statistical Analysis Used: STATAIC-13. Results: On comparison of saliva before and after consuming probiotics, there was an increase in the mean unstimulated and stimulated saliva from baseline to that after 60 days, the difference being 0.406 and 0.433, respectively. The difference was statistically significant with P < 0.001. The mean pH at baseline was 7.818 ± 0.231 which increased after 60 days to 7.825 ± 0.189, the difference being 0.007. Conclusion: This study concluded that probiotics increase the amount of saliva of completely edentulous patients and so it can be helpful in patients suffering from xerostomia/hyposalivation.
Innovation in the bioeconomy – dynamics of biorefinery innovation networks

ABSTRACT The bioeconomy has become a central concept in many strategies for future economic development, emphasising an increasing need for collaboration across industries and sectors for innovation. This paper unpacks aspects of collaboration in the bioeconomy by looking at the development of innovation networks for biorefinery technologies from 2004 to 2014 based on innovation project data from Swedish public funding agencies using a stochastic actor-oriented model for network analysis. The analysis shows that although the network grew significantly during the time period, indicating an increasing interest in biorefinery technology innovation, inter-sectoral collaboration is not favoured over intra-sectoral collaboration. As is known from previous work on social networks trust-building is a key driver for collaboration, as actors tend to form collaborations with previous partners or indirectly connected partners, creating clustered networks.
Seq2seq Dependency Parsing

This paper presents a sequence to sequence (seq2seq) dependency parser by directly predicting the relative position of head for each given word, which therefore results in a truly end-to-end seq2seq dependency parser for the first time. Enjoying the advantage of seq2seq modeling, we enrich a series of embedding enhancement, including firstly introduced subword and node2vec augmentation. Meanwhile, we propose a beam search decoder with tree constraint and subroot decomposition over the sequence to furthermore enhance our seq2seq parser. Our parser is evaluated on benchmark treebanks, being on par with the state-of-the-art parsers by achieving 94.11% UAS on PTB and 88.78% UAS on CTB, respectively.
Relation Induction in Word Embeddings Revisited

Given a set of instances of some relation, the relation induction task is to predict which other word pairs are likely to be related in the same way. While it is natural to use word embeddings for this task, standard approaches based on vector translations turn out to perform poorly. To address this issue, we propose two probabilistic relation induction models. The first model is based on translations, but uses Gaussians to explicitly model the variability of these translations and to encode soft constraints on the source and target words that may be chosen. In the second model, we use Bayesian linear regression to encode the assumption that there is a linear relationship between the vector representations of related words, which is considerably weaker than the assumption underlying translation based models.
Psychiatry's contribution to the public stereotype of schizophrenia: Historical considerations

Abstract The public stereotype of schizophrenia is characterized by craziness, a split personality, unpredictable and dangerous behaviour, and by the idea of a chronic brain disease. It is responsible for delays in help‐seeking, encourages social distance and discrimination, and furthers self‐stigmatization. This paper discusses the circumstances of the origins of the idea of a chronic brain disease (Emil Kraepelin, 1856‐1926), of the split personality concept derived from the term “schizophrenia” (Eugen Bleuler, 1857‐1939), and the craziness idea reflected in the “first rank symptoms”, which are all hallucinations and delusions (Kurt Schneider, 1887‐1967). It shows how Emil Kraepelin's scientific search for homogenous groups of patients with a common aetiology, symptom pattern, and prognosis materialized in the definition of “dementia praecox” as a progressing brain disease; how Eugen Bleuler's life and professional circumstances facilitated an “empathic” approach to his patients and prompted him to put in the foreground incoherence of cognitive and affective functioning, and not the course of the disease; finally, how Kurt Schneider in his didactic attempt to teach general practitioners how to reliably diagnose schizophrenia, neglected what Emil Kraepelin and Eugen Bleuler had emphasized decades earlier and devised his own criteria, consisting exclusively of hallucinations and delusions. In a strange conglomerate, the modern operational diagnostic criteria reflect all three approaches, by claiming to be Neo‐Kraepelinean in terms of defining a categorical disease entity with a suggestion of chronicity, by keeping Bleuler's ambiguous term schizophrenia, and by relying heavily on Kurt Schneider's hallucinations and delusions. While interrater reliability may have improved with operational diagnostic criteria, the definition of schizophrenia is still arbitrary and has no empirical validity—but induces stigma.
Effects of Ozone and Prophylactic Antimicrobial Applications on Shear Bond Strength of Orthodontic Brackets.

Objective The present study aimed to evaluate the effects of ozone and prophylactic antimicrobial applications on the shear bond strengths and bond failure interfaces of orthodontic brackets. Methods Sixty human canine teeth were randomly divided into three groups (n=20), receiving the following treatments: Group I-pumice prophylaxis (Isler Dental, Ankara, Turkey)+37% orthophosphoric acid (Dentsply, Rio de Janeiro, Brazil)+Transbond XT primer and adhesive (3M Unitek, Monrovia, USA); Group II-prophylaxis paste (Topex, NJ, USA)+37% orthophosphoric acid (Dentsply, Rio de Janeiro, Brazil)+ Transbond XT primer and adhesive paste (3M Unitek, Monrovia, USA); and Group III-ozone application (Biozonix GmbH, Munich, Germany)+37% orthophosphoric acid (Dentsply, Rio de Janeiro, Brazil)+Transbond XT primer and adhesive (3M Unitek, Monrovia, USA). All specimens were stored at 37°C water for 24 h. Shear bond strength was assessed using a universal testing device (Autograph AGS-X; Shimadzu, Japan). Adhesive remnant index (ARI) scores were obtained through examination of teeth under stereomicroscope at 10× magnification after debonding. Results Shear bond strengths of orthodontic brackets were 16.10, 18.01, and 19.23 MPa for Groups I, II, and III, respectively. No statistically significant difference in shear bond strength of orthodontic brackets was found among the groups (p=0.273), based on Kruskal-Wallis analysis. Additionally, no significant difference was found in the ARI scores of each group using chi-square analysis (p=0.992). Conclusion Shear bond strength of orthodontic brackets and ARI scores was not found to be negatively impacted by ozone application.
Recent trends in life expectancy across high income countries: retrospective observational study

Abstract Objectives To assess whether declines in life expectancy occurred across high income countries during 2014-16, to identify the causes of death contributing to these declines, and to examine the extent to which these declines were driven by shared or differing factors across countries. Design Demographic analysis using aggregated data. Setting Vital statistics systems of 18 member countries of the Organisation for Economic Co-operation and Development. Participants 18 countries with high quality all cause and cause specific mortality data available in 2014-16. Main outcome measures Life expectancy at birth, 0-65 years, and 65 or more years and cause of death contributions to changes in life expectancy at birth. Results The majority of high income countries in the study experienced declines in life expectancy during 2014-15; of the 18 countries, 12 experienced declines in life expectancy among women and 11 experienced declines in life expectancy among men. The average decline was 0.21 years for women and 0.18 years for men. In most countries experiencing declines in life expectancy, these declines were predominantly driven by trends in older age (≥65 years) mortality and in deaths related to respiratory disease, cardiovascular disease, nervous system disease, and mental disorders. In the United States, declines in life expectancy were more concentrated at younger ages (0-65 years), and drug overdose and other external causes of death played important roles in driving these declines. Conclusions Most of the countries that experienced declines in life expectancy during 2014-15 experienced robust gains in life expectancy during 2015-16 that more than compensated for the declines. However, the United Kingdom and the United States appear to be experiencing stagnating or continued declines in life expectancy, raising questions about future trends in these countries.
Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning

A bottleneck problem with Chinese named entity recognition (NER) in new domains is the lack of annotated data. One solution is to utilize the method of distant supervision, which has been widely used in relation extraction, to automatically populate annotated training data without humancost. The distant supervision assumption here is that if a string in text is included in a predefined dictionary of entities, the string might be an entity. However, this kind of auto-generated data suffers from two main problems: incomplete and noisy annotations, which affect the performance of NER models. In this paper, we propose a novel approach which can partially solve the above problems of distant supervision for NER. In our approach, to handle the incomplete problem, we apply partial annotation learning to reduce the effect of unknown labels of characters. As for noisy annotation, we design an instance selector based on reinforcement learning to distinguish positive sentences from auto-generated annotations. In experiments, we create two datasets for Chinese named entity recognition in two domains with the help of distant supervision. The experimental results show that the proposed approach obtains better performance than the comparison systems on both two datasets.
Noninvasive measures in atopic dermatitis

Purpose of review To summarize the current knowledge on the morphology, functionality and biochemical composition of the skin in allergic reactions. We address novel noninvasive techniques that promise to disclose intimate mechanisms of skin allergy in vivo. Epidermal barrier is not just a static wrap of the organism but rather a dynamic field for immunological, biophysical and biochemical processes and serves as a bio-sensor for exogenous danger signals. Recent findings Classical biophysical methods are amended by novel in-vivo techniques, such as Raman spectroscopy, analysing the skin microcomposition and develop epidermal profiles. Visualization techniques, such as reflectance spectroscopy and optical coherence tomography (OCT) are employed in studying the micro-morphological changes in the skin of allergic patients. Summary The noninvasive assessment of skin functions, micro-morphology and biochemical as well as immunological pathways will help to better understand skin allergies. They will allow to detect subtypes, for example in atopic dermatitis and to develop specific treatment modalities.
Different Dosages of Corticosteroid and Routes of Administration in Mandibular Third Molar Surgery: a Systematic Review

ABSTRACT Objectives The objective of the present systematic review was to test the hypothesis of no difference in facial swelling, pain and trismus after surgical removal of mandibular third molar with different dosages of corticosteroids and administration routes. Material and Methods A MEDLINE (PubMed), Embase database and Cochrane Library search in combination with a hand-search of relevant journals was conducted by including randomized controlled trials published in English until 1st December 2017. Results Seven studies fulfilled the inclusion criteria. Considerable variation in the included studies prevented meta-analysis from being performed. Preoperative submucosal injection of corticosteroids significantly diminishes facial swelling, pain and trismus compared with placebo. However, different dosages of corticosteroid and administration routes reveal contrary results indicating that administration of a higher dosage of corticosteroids do not necessarily cause a further decrease in facial swelling, pain and trismus. Conclusions Consequently, the optimal dosage of corticosteroids and administration route for diminishing postsurgical morbidity and improve quality of life after surgical removal of mandibular third molar is presently unknown. Therefore, further well-designed randomized clinical trials including a standardised protocol, patient-reported outcome measures and three-dimensional analysis of facial swelling is needed.
Type 2 diabetic patients on renal replacement therapy: Probability to receive renal transplantation and survival after transplantation

Background Type 2 diabetic (T2DM) patients on renal replacement therapy (RRT) seldom receive a kidney transplant, which is partly due to age and comorbidities. Adjusting for case mix, we investigated whether T2DM patients have equal opportunity for renal transplantation compared to other patients on dialysis, and whether survival after transplantation is comparable. Methods Patients who entered RRT in Finland in 2000–2010 (n = 5419) were identified from the Finnish Registry for Kidney Diseases and followed until the end of 2012. Of these, 20% had T2DM, 14% type 1 diabetes (T1DM) and 66% other than diabetes as the cause of ESRD. Uni-/multivariate survival analysis techniques were employed to assess the probability of kidney transplantation after the start of dialysis and survival after transplantation. Results T2DM patients had a relative probability of renal transplantation of 0.18 (95% CI 0.15–0.22, P<0.001) compared to T1DM patients: this increased to 0.51 (95% CI 0.36–0.72, P<0.001) after adjustment for case mix (age, gender, laboratory values and comorbidities). When T2DM patients were compared to non-diabetic patients, the corresponding relative probabilities were 0.25 (95% CI 0.20–0.30, P<0.001) and 0.59 (95% CI 0.43–0.83, P = 0.002). After renal transplantation when adjusted for age and gender, relative risk of death was 1.25 (95% CI 0.64–2.44, P = 0.518) for T1DM patients and 0.72 (0.43–1.22, P = 0.227) for other patients compared to T2DM patients. Conclusions T2DM patients had a considerably lower probability of receiving a kidney transplant, which could not be fully explained by differences in the patient characteristics. Survival within 5 years after transplantation is comparably good in T2DM patients.
Dielectric Properties and Switching Processes of Barium Titanate–Barium Zirconate Ferroelectric Superlattices

This article is devoted to the investigation of the dielectric and repolarization properties of barium zirconate and barium titanate BaZrO3/BaTiO3 superlattices with a period of 13.322 nm on a monocrystal magnesium oxide (MgO) substrate. Synthesized superlattices demonstrated a ferroelectric phase transition at a temperature of approximately 393 °C, which is far higher than the Curie temperature of BaTiO3 thin films and bulk samples. The dielectric permittivity of the superlattice reached more than 104 at maximum. As the electric field frequency increased, the dielectric constant of the studied superlattice decreased over the entire study temperature range, but position of the maximum dielectric constant remained the same with changing frequency. The temperature dependence of the inverse dielectric permittivity 1/ε(T) for the studied samples shows that, in the investigated superlattice, both Curie–Weiss law and the law of “two” were followed. Additionally, the ε(T) dependences showed practically no temperature hysteresis with heating and cooling. Samples of synthesized superlattices had a relatively small internal bias field, which was directed from the superlattice towards the substrate.
Identification of potential key genes associated with severe pneumonia using mRNA-seq

This study aimed to identify the potential key genes associated with severe pneumonia using mRNA-seq. Nine peripheral blood samples from patients with severe pneumonia alone (SP group, n=3) and severe pneumonia accompanied with chronic obstructive pulmonary disease (COPD; CSP group, n=3), as well as volunteers without pneumonia (control group, n=3) underwent mRNA-seq. Based on the sequencing data, differentially expressed genes (DEGs) were identified by Limma package. Following the pathway enrichment analysis of DEGs, the genes that were differentially expressed in the SP and CSP groups were selected for pathway enrichment analysis and coexpression analysis. In addition, potential genes related to pneumonia were identified based on the information in the Comparative Toxicogenomics Database. In total, 645 and 528 DEGs were identified in the SP and CSP groups, respectively, compared with the normal controls. Among these DEGs, 88 upregulated genes and 80 downregulated genes were common between the two groups. The functions of the common DEGs were similar to those of the DEGs in the SP group. In the coexpression network, the commonly downregulated genes (including ND1, ND3, ND4L, and ND6) and the commonly upregulated genes (including TSPY6P and CDY10P) exhibited a higher degree. In addition, 131 DEGs (including ND1, ND3, ND6, MIR449A and TAS2R43) were predicted to be potential pneumonia-related genes. In conclusion, the present study demonstrated that the common DEGs may be associated with the progression of severe pneumonia.
Association of Maternal Insecticide Levels With Autism in Offspring From a National Birth Cohort.

OBJECTIVE: Autism is a complex neurodevelopmental disorder with a largely unknown etiology. To date, few studies have investigated prenatal exposure to toxins and risk of autism by using maternal biomarkers of exposure. Persistent organic pollutants are lipophilic halogenated organic compounds and include the insecticide dichlorodiphenyltrichloroethane (DDT), as well as its metabolite p,p'-dichlorodiphenyl dichloroethylene (p,p'-DDE), and polychlorinated biphenyls (PCBs). The objective of this study was to test whether elevated maternal levels of persistent organic pollutants are associated with autism among offspring. METHOD: The investigation was derived from the Finnish Prenatal Study of Autism, a national birth cohort study based on a nested case-control design. Cases of autism among children born between 1987 and 2005 were ascertained by national registry linkages. In cases of childhood autism and matched control subjects (778 matched case-control pairs), maternal serum specimens from early pregnancy were assayed for levels of p,p'-DDE and total levels of PCBs. RESULTS: The odds of autism among offspring were significantly increased with maternal p,p'-DDE levels that were in the highest 75th percentile, with adjustment for maternal age, parity, and history of psychiatric disorders (odds ratio=1.32, 95% CI=1.02, 1.71). The odds of autism with intellectual disability were increased by greater than twofold with maternal p,p'-DDE levels above this threshold (odds ratio=2.21, 95% CI=1.32, 3.69). There was no association between total levels of maternal PCBs and autism. CONCLUSIONS: These findings provide the first biomarker-based evidence that maternal exposure to insecticides is associated with autism among offspring. Although further research is necessary to replicate this finding, this study has implications for the prevention of autism and may provide a better understanding of its pathogenesis.
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification

In this report, we are presenting our automated prediction system for disease classification within dermoscopic images. The proposed solution is based on deep learning, where we employed transfer learning strategy on VGG16 and GoogLeNet architectures. The key feature of our solution is preprocessing based primarily on image augmentation and colour normalization. The solution was evaluated on Task 3: Lesion Diagnosis of the ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection.