Miracle-dz/UniFAR-FTUs huggingface dataset:
Traffic-Related Air Pollution and Child BMI—A Study of Prenatal Exposure to Nitrogen Oxides and Body Mass Index in Children at the Age of Four Years in Malmö, Sweden

Traffic-related air pollution could be a danger to the health of children. Earlier studies have linked prenatal exposure to an increased risk of a range of diseases and negative health outcomes, including overweight and obesity. Presently, a knowledge gap exists in investigating the risk of overweight and obesity among children exposed to lower levels of air pollution in utero. This study aimed to investigate the relationship between prenatal traffic-related air pollution (nitrogen dioxides (NOx) and traffic density) and childhood overweight and obesity in Malmö, Sweden. A cohort, based on attendance of a four-year check-up examination at Swedish Child Health Care (CHC) centers, and a parent-assessed questionnaire provided data on body-mass index adjusted for four-year-old children (ISO-BMI) as well as socioeconomic and health variables. We estimated exposure by using traffic density and levels of NOx at the maternal geocoded residential level. Analysis of 5815 children was performed using binary logistic regression models. This study showed no associations of increased risk for childhood overweight or obesity through to prenatal exposure to NOx in this low-exposure setting. We further suggest analysis of risks related to exposure levels ranging between the ones presented here and those proposed in previous literature.
The hearing screening experiences and practices of primary health care nurses: Indications for referral based on high-risk factors and community views about hearing loss

Background In South Africa, primary health care is the first point of contact with the health system for at least 85% of the population, yet early hearing detection and intervention continues to be elusive in these settings. Nurses at community level may, therefore, be missing an opportunity to identify prelingual infants with hearing losses and alter their developmental trajectory. Aim To determine primary health care nurses’ experiences, practices and beliefs regarding hearing loss in infants. Setting The study was conducted in the eThekwini District of KwaZulu-Natal, South Africa. Methods A descriptive survey was used with quantitative methods of analysis. Fourteen primary health care clinics from the eThekwini district were selected, from which 75 nurses participated by completing a self-administered questionnaire. Results At least one-third of primary health care nurses had never screened a child for hearing loss, and most clinics did not have access to basic hearing screening equipment or materials. Only 49% of nurses had access to an otoscope, while 31% used the Road to Health Development screener to check for hearing loss. None of the clinics had access to an otoacoustic emission screener nor the Swart questionnaire. Although nurses reported that they would refer to audiology services for some of the risk factors, as indicated on the Joint Committee on Infant Hearing (JCIH) 2007 list, they were less likely to refer if the child was in a neonatal intensive care unit (ICU) longer than five days, had neurodegenerative disorders, meningitis, hyperbilirubinaemia requiring blood transfusion or were undergoing chemotherapy. Less than a third of nurses always referred if the child displayed additional non-JCIH risk factors or those pertinent to the South African context. Approximately 38% reported that communities believed that hearing loss could be because of some form of spiritual or supernatural causes. Conclusion This study demonstrates that hearing screening and referral practices at primary health care clinics need to be strengthened. Nurses need to be capacitated to conduct basic screening, make necessary referrals, provide information to caregivers and understand community beliefs about hearing loss in order to counsel caregivers appropriately and facilitate the process of early hearing detection and intervention.
Personalized Multiple Facial Action Unit Recognition through Generative Adversarial Recognition Network

Personalized facial action unit (AU) recognition is challenging due to subject-dependent facial behavior. This paper proposes a method to recognize personalized multiple facial AUs through a novel generative adversarial network, which adapts the distribution of source domain facial images to that of target domain facial images and detects multiple AUs by leveraging AU dependencies. Specifically, we use a generative adversarial network to generate synthetic images from source domain; the synthetic images have a similar appearance to the target subject and retain the AU patterns of the source images. We simultaneously leverage AU dependencies to train a multiple AU classifier. Experimental results on three benchmark databases demonstrate that the proposed method can successfully realize unsupervised domain adaptation for individual AU detection, and thus outperforms state-of-the-art AU detection methods.
Politicians' use of Facebook during elections: Use of emotionally-based discourse, personalization, social media engagement and vividness

Purpose The purpose of this paper is to understand the use of Facebook by Israeli party leaders during an election period by examining four elements: the type of Aristotelian language of persuasion; the level of online engagement measured by three different types of feedback: likes, comments and shares; the use of personalization elements as engagement strategies; and the vividness features used in the post (text, photographs and video). Design/methodology/approach All of the posts from the Facebook pages of ten Israeli party leaders were collected for 45 days prior to the 2015 general elections. The number of posts, likes, comments and shares in each post were captured and the data were analyzed looking for elements of Aristotelian persuasion and of online engagement with the users. Findings The dominance of pathos was a salient element in the data demonstrating the politicians’ need to create an affective alliance with the public and it was the element that resulted in a higher number of likes, shares and comments. Only a few relationships were found and these do not point to a clear relationship between multimedia use and social media engagement. The interactive, open and free nature of social networking sites contributes to their development as a new type of political podia that allow politicians to produce a different kind of political communication. Instead of using these sites as platforms to disseminate their ideas, plans and strategies, politicians focus their interactions with the audience on the creation and maintenance of affective alliances. Originality/value The study contributes to the existing literature on the subject by examining four characteristics of the politicians’ personal profiles on social networks simultaneously while most of the past studies have focused on only one or two of these characteristics.
Access to healthy food retailers among formerly incarcerated individuals

Abstract Objective To assess access to healthy food retailers among formerly incarcerated individuals. Design Using linked data from the National Longitudinal Study of Adolescent to Adult Health and the Modified Retail Food Environment Index, the present study applies multivariate logistic regression to assess the association between incarceration and (i) living in a food desert and (ii) having low access to healthy food retailers. To account for unobserved heterogeneity, additional analyses are performed comparing formerly incarcerated individuals with persons arrested or convicted for a crime but not previously incarcerated. Setting Sample of respondents living in urban census tracts in the USA. Subjects Adults (n 10390) aged 24–34 years. Results In adjusted logistic regression models, prior incarceration was not significantly associated with living in a food desert (OR=1·097; 95% CI 0·896, 1·343). Prior incarceration significantly increased the likelihood of living in a census tract with low access to healthy food retailers (OR=1·265; 95% CI 1·069, 1·498). This significant association remained when comparing formerly incarcerated individuals with those who had been arrested or convicted of a crime, but not previously incarcerated (OR=1·246; 95% CI 1·032, 1·503). Conclusions Formerly incarcerated individuals are more likely to live in areas with low access to healthy food retailers compared with their non-incarcerated counterparts. Because lower access healthy food retailers may be associated with worse health and dietary behaviour, disparities in local food retail environments may exacerbate health inequalities among formerly incarcerated individuals.
Insights from in vivo micro‐CT analysis: testing the hydraulic vulnerability segmentation in Acer pseudoplatanus and Fagus sylvatica seedlings

Summary The seedling stage is the most susceptible one during a tree′s life. Water relations may be crucial for seedlings due to their small roots, limited water buffers and the effects of drought on water transport. Despite obvious relevance, studies on seedling xylem hydraulics are scarce as respective methodical approaches are limited. Micro‐CT scans of intact Acer pseudoplatanus and Fagus sylvatica seedlings dehydrated to different water potentials (Ψ) allowed the simultaneous observation of gas‐filled versus water‐filled conduits and the calculation of percentage loss of conductivity (PLC) in stems, roots and leaves (petioles or main veins). Additionally, anatomical analyses were performed and stem PLC measured with hydraulic techniques. In A. pseudoplatanus, petioles showed a higher Ψ at 50% PLC (Ψ50 −1.13MPa) than stems (−2.51 MPa) and roots (−1.78 MPa). The main leaf veins of F. sylvatica had similar Ψ50 values (−2.26 MPa) to stems (−2.74 MPa) and roots (−2.75 MPa). In both species, no difference between root and stems was observed. Hydraulic measurements on stems closely matched the micro‐CT based PLC calculations. Micro‐CT analyses indicated a species‐specific hydraulic architecture. Vulnerability segmentation, enabling a disconnection of the hydraulic pathway upon drought, was observed in A. pseudoplatanus but not in the especially shade‐tolerant F. sylvatica. Hydraulic patterns could partly be related to xylem anatomical traits.
Watch, Think and Attend: End-to-End Video Classification via Dynamic Knowledge Evolution Modeling

Video classification has been achieved by automatically mining the underlying concepts (\eg actions, events) in videos, which plays an essential role in intelligent video analysis. However, most existing algorithms only exploit the visual cues of these concepts but ignore external knowledge information for modeling their relationships during the evolution of videos. In fact, humans have remarkable ability to utilize acquired knowledge to reason about the dynamically changing world. To narrow the knowledge gap between existing methods and humans, we propose an end-to-end video classification framework based on a structured knowledge graph, which can model the dynamic knowledge evolution in videos overtime. Here, we map the concepts of videos to the nodes of the knowledge graph. To effectively leverage the knowledge graph, we adopt a graph convLSTM model to not only identify local knowledge structures in each video shot but also model dynamic patterns of knowledge evolution across these shots. Furthermore, a novel knowledge-based attention model is designed by considering the importance of each video shot and relationships between concepts. We show that by using knowledge graphs, our framework is able to improve the performance of various existing methods. Extensive experimental results on two video classification benchmarks UCF101 and Youtube-8M demonstrate the favorable performance of the proposed framework.
Analysing the predictive power for anticipating assignment grades in a massive open online course

ABSTRACT The learning process in a MOOC (Massive Open Online Course) can be improved from knowing in advance learners’ grades on different assignments. This would be very useful to detect problems with enough time to take corrective measures. In this work, the aim is to analyse how different course scores can be predicted, what elements or variables affect the predictions and how much and in which way it is possible to anticipate scores. To do that, data from a MOOC about Java programming have been used. Results show the importance of indicators over the algorithms and that forum-related variables do not add power to predict grades, unlike previous scores. Furthermore, the type of task can vary the results. Regarding the anticipation, it was possible to use data from previous topics but with worse performance, although values were better than those obtained in the first seven days of the current topic.
Deep Semantic Hashing with Multi-Adversarial Training

With the amount of data has been rapidly growing over recent decades, binary hashing has become an attractive approach for fast search over large databases, in which the high-dimensional data such as image, video or text is mapped into a low-dimensional binary code. Searching in this hamming space is extremely efficient which is independent of the data size. A lot of methods have been proposed to learn this binary mapping. However, to make the binary codes conserves the input information, previous works mostly resort to mean squared error, which is prone to lose a lot of input information [11]. On the other hand, most of the previous works adopt the norm constraint or approximation on the hidden representation to make it as close as possible to binary, but the norm constraint is too strict that harms the expressiveness and flexibility of the code. In this paper, to generate desirable binary codes, we introduce two adversarial training procedures to the hashing process. We replace the L2 reconstruction error with an adversarial training process to make the codes reserve its input information, and we apply another adversarial learning discriminator on the hidden codes to make it proximate to binary. With the adversarial training process, the generated codes are getting close to binary while also conserves the input information. We conduct comprehensive experiments on both supervised and unsupervised hashing applications and achieves a new state of the arts result on many image hashing benchmarks.
How I-Deals Build Resources to Facilitate Reciprocation: Mediating Role of Positive Affective States

Idiosyncratic deals (I-deals) are individualized arrangements between individuals and their employer, intended to benefit both (Rousseau, 2005). Empirical research on I-deals has predominantly built on social exchange theory and specifically reciprocity to explain how employees respond to these personalized work deals. Yet, little research has examined the mechanisms through which employees reciprocate once the I-deal is struck. The present paper examines how and why I-deals predict supervisor perceptions of the focal employee’s behavior, in particular, innovative work behavior and in-role work performance. We argue that positive affective states following I-deal negotiations are a vital mechanism in this reciprocation process. Using data from 208 middle-level managers and their supervisors, we tested whether positive emotions and feelings of energy mediated the relationship between I-deals and supervisor rated behavioral outcomes. The results support our hypotheses and we discuss that successful I-deal n.
Diagnostic value of HBME‐1, CK19, Galectin 3, and CD56 in the subtypes of follicular variant of papillary thyroid carcinoma

Our aim is to explore differences in Hector Battifora mesothelial‐1 (HBME‐1), cytokeratin‐19 (CK19), Galectin‐3 (Gal‐3), and CD56 expression in infiltrative follicular variants of papillary carcinoma (IFVPTC) and encapsulated follicular variants of papillary carcinoma (EFVPTC) and to provide clues for distinguishing the two subtypes preoperatively. Tissue microarrays from 100 EFVPTC (45 non‐invasive follicular thyroid neoplasms with papillary‐like nuclear features (NIFTP) and 55 invasive EFVPTCs), 43 IFVPTCs, and 64 follicular neoplasms (FN) were immunostained with HBME‐1, CK19, Gal‐3, and CD56. Each case was scored 1 point for every positive result. Immunohistochemical expression was not significantly different in invasive EFVPTC and NIFTP, except for that of HBME‐1. HBME‐1, CK19, Gal‐3, and CD56 expression were significantly higher in IFVPTC than in EFVPTC. At the cutoff of 3 points, the score method had special diagnostic value for differentiating IFVPTC from EFVPTC and FN and for predicting lymph node metastasis. Scoring of immunohistochemistry results may be applied to core biopsy or cell blocks to assist ultrasonographic, cytologic and molecular tests in differentiating IFVPTC and EFVPTC preoperatively, possibly appropriately guiding EFVPTC preoperatively for limited operation or active surveillance.
Fast and Light Manifold CNN based 3D Facial Expression Recognition across Pose Variations

This paper proposes a novel approach to 3D Facial Expression Recognition (FER), and it is based on a Fast and Light Manifold CNN model, namely FLM-CNN. Different from current manifold CNNs, FLM-CNN adopts a human vision inspired pooling structure and a multi-scale encoding strategy to enhance geometry representation, which highlights shape characteristics of expressions and runs efficiently. Furthermore, a sampling tree based preprocessing method is presented, and it sharply saves memory when applied to 3D facial surfaces, without much information loss of original data. More importantly, due to the property of manifold CNN features of being rotation-invariant, the proposed method shows a high robustness to pose variations. Extensive experiments are conducted on BU-3DFE, and state-of-the-art results are achieved, indicating its effectiveness.
Antibacterial and Bioactive Surface Modifications of Titanium Implants by PCL/TiO2 Nanocomposite Coatings

Surface modification of biomedical implants is an established strategy to improve tissue regeneration, osseointegration and also to minimize the bacterial accumulation. In the present study, electrospun poly(ε-caprolactone)/titania (PCL/TiO2) nanocomposite coatings were developed on commercially pure titanium (cpTi) substrates for an improved biological and antibacterial properties for bone tissue engineering. TiO2 nanoparticles in various amounts (2, 5, and 7 wt %) were incorporated into a biodegradable PCL matrix to form a homogeneous solution. Further, PCL/TiO2 coatings on cpTi were obtained by electrospinning of PCL/TiO2 solution onto the substrate. The resulted coatings were structurally characterized and inspected by employing scanning electron microscope (SEM), X-ray diffraction (XRD), and Fourier transform infrared (FTIR) spectroscopy. Given the potential biological applications of PCL/TiO2 coated cpTi substrates, the apatite-forming capacity was examined by immersing in simulated body fluid (SBF) for upto 21 days. Biocompatibility has been evaluated through adhesion/proliferation of hFOB osteoblast cell lines and cytotoxicity by MTT assay. Antimicrobial activity of PCL/TiO2 nanocomposites has been tested using UV light against gram-positive Staphylococcus aureus (S.aureus). The resulting surface displays good bioactive properties against osteoblast cell lines with increased viability of 40% at day 3 and superior antibacterial property against S.aureus with a significant reduction of bacteria to almost 76%. Surface modification by PCL/TiO2 nanocomposites makes a viable approach for improving dual properties, i.e., biological and antibacterial properties on titanium implants which might be used to prevent implant-associated infections and promoting cell attachment of orthopedic devices at the same time.
Image Quality and Dose Reduction by Dual Source Computed Tomography Coronary Angiography: Protocol Comparison

Purpose: To compare image quality and radiation dose among different protocols in patients who underwent a 128-slice dual source computed tomography coronary angiography (DSCT-CTCA). Methods: Ninety patients were retrospectively grouped according to heart rate (HR): 26 patients (group A) with stable HR ≤60 bpm were acquired using high pitch spiral mode (FLASH); 48 patients (group B) with irregular HR ≤60 bpm or stable HR between 60 and 70 bpm using step and shoot mode; and 16 patients (group C) with irregular HR >60 bpm or stable HR ≥70 bpm by retrospective electrocardiogram pulsing acquisition. Signal to noise ratio (SNR) and contrast to noise ratio (CNR) were measured for the main vascular structures. Moreover, the dose-length product and the effective dose were assessed. Results: Both SNR and CNR were higher in group A compared to group C (18.27 ± 0.32 vs 11.22 ± 0.50 and 16.75 ± 0.32 vs 10.17 ± 0.50; P = .001). The effective dose was lower in groups A and B (2.09 ± 1.27 mSv and 4.60 ± 2.78 mSv, respectively) compared to group C (9.61 ± 5.95 mSv) P < . 0001. Conclusion: The correct selection of a low-dose, HR-matched CTCA scan protocol with a DSCT scanner provides substantial reduction of radiation exposure and better SNR and CNR.
Distinct Signatures of Host Defense Suppression by Plant-Feeding Mites

Tomato plants are attacked by diverse herbivorous arthropods, including by cell-content-feeding mites, such as the extreme generalist Tetranychus urticae and specialists like Tetranychus evansi and Aculops lycopersici. Mite feeding induces plant defense responses that reduce mite performance. However, T. evansi and A. lycopersici suppress plant defenses via poorly understood mechanisms and, consequently, maintain a high performance on tomato. On a shared host, T. urticae can be facilitated by either of the specialist mites, likely due to the suppression of plant defenses. To better understand defense suppression and indirect plant-mediated interactions between herbivorous mites, we used gene-expression microarrays to analyze the transcriptomic changes in tomato after attack by either a single mite species (T. urticae, T. evansi, A. lycopersici) or two species simultaneously (T. urticae plus T. evansi or T. urticae plus A. lycopersici). Additionally, we assessed mite-induced changes in defense-associated phytohormones using LC-MS/MS. Compared to non-infested controls, jasmonates (JAs) and salicylate (SA) accumulated to higher amounts upon all mite-infestation treatments, but the response was attenuated after single infestations with defense-suppressors. Strikingly, whereas 8 to 10% of tomato genes were differentially expressed upon single infestations with T. urticae or A. lycopersici, respectively, only 0.1% was altered in T. evansi-infested plants. Transcriptome analysis of dual-infested leaves revealed that A. lycopersici primarily suppressed T. urticae-induced JA defenses, while T. evansi dampened T. urticae-triggered host responses on a transcriptome-wide scale. The latter suggests that T. evansi not solely down-regulates plant gene expression, but rather directs it back towards housekeeping levels. Our results provide valuable new insights into the mechanisms underlying host defense suppression and the plant-mediated facilitation of competing herbivores.