Miracle-dz/UniFAR-FTUs huggingface dataset:
Bias Disparity in Recommendation Systems

Recommender systems have been applied successfully in a number of different domains, such as, entertainment, commerce, and employment. Their success lies in their ability to exploit the collective behavior of users in order to deliver highly targeted, personalized recommendations. Given that recommenders learn from user preferences, they incorporate different biases that users exhibit in the input data. More importantly, there are cases where recommenders may amplify such biases, leading to the phenomenon of bias disparity. In this short paper, we present a preliminary experimental study on synthetic data, where we investigate different conditions under which a recommender exhibits bias disparity, and the long-term effect of recommendations on data bias. We also consider a simple re-ranking algorithm for reducing bias disparity, and present some observations for data disparity on real data.
A dataset for benchmarking vision-based localization at intersections

In this report we present the work performed in order to build a dataset for benchmarking vision-based localization at intersections, i.e., a set of stereo video sequences taken from a road vehicle that is approaching an intersection, altogether with a reliable measure of the observer position. This report is meant to complement our paper "Vision-Based Localization at Intersections using Digital Maps" submitted to ICRA2019. It complements the paper because the paper uses the dataset, but it had no space for describing the work done to obtain it. Moreover, the dataset is of interest for all those tackling the task of online localization at intersections for road vehicles, e.g., for a quantitative comparison with the proposal in our submitted paper, and it is therefore appropriate to put the dataset description in a separate report. We considered all datasets from road vehicles that we could find as for the end of August 2018. After our evaluation, we kept only sub-sequences from the KITTI dataset. In the future we will increase the collection of sequences with data from our vehicle.
Elevated serum levels of procollagen C‐proteinase enhancer‐1 in patients with chronic kidney disease is associated with a declining glomerular filtration rate

Procollagen C‐proteinase enhancer‐1 (PCPE‐1) is a 55 kDa glycoprotein, which increases the activity of procollagen C‐proteinases that break down C‐terminal propeptides. Studies have shown that PCPE‐1 is involved in the fibrotic process that occurs in various tissues and organs. Our review of the literature revealed no data concerning the relation between PCPE‐1 and chronic kidney disease (CKD). The purpose of this study was to determine PCPE‐1 levels in CKD.
HoloMuse - A Concept for Augmented Learning in Museums

Providing accessible ways to our cultural heritage is a key responsibility for modern societies. This paper outlines ideas for using new Augmented and Virtual Reality technologies at museums. First, we will give a short introduction on the latest developments of AR/VR technology and their inherent potentials for museums. Secondly, the ongoing R&D project “HoloMuse” will be introduced which aims at developing new forms of Augmented Learning for cultural heritage venues. HoloMuse is a collaborative effort of technology partners, academic institutions, and worldwide renowned museums to make the next steps towards real innovative and meaningful museum visitor experiences based on AR/VR technologies and cutting-edge learning theories. We will outline several deployment scenarios of AR/VR in museums giving a prospective on the future of cultural learning.
CRISPR/Cas‐based screening of a gene activation library in Saccharomyces cerevisiae identifies a crucial role of OLE1 in thermotolerance

CRISPR/Cas‐based (clustered regularly interspaced short palindromic repeats/CRISPR‐associated) screening has been proved to be an efficient method to study functional genomics from yeast to human. In this study, we report the development of a focused CRISPR/Cas‐based gene activation library in Saccharomyces cerevisiae and its application in gene identification based on functional screening towards improved thermotolerance. The gene activation library was subjected to screening at 42°C, and the same library cultured at 30°C was set as a control group. After five successive subcultures, five clones were randomly picked from the libraries cultured at 30 and 42°C, respectively. The five clones selected at 30°C contain the specificity sequences of five different single guide RNAs, whereas all the five clones selected at 42°C contain the specificity sequence of one sgRNA that targets the promoter region of OLE1. A crucial role of OLE1 in thermotolerance was identified: the overexpression of OLE1 increased fatty acid unsaturation, and thereby helped counter lipid peroxidation caused by heat stress, rendering the yeast thermotolerant. This study described the application of CRISPR/Cas‐based gene activation screening with an example of thermotolerant yeast screening, demonstrating that this method can be used to identify functional genes in yeast.
Modelling of Running Performances: Comparisons of Power-Law, Hyperbolic, Logarithmic, and Exponential Models in Elite Endurance Runners

Many empirical and descriptive models have been proposed since the beginning of the 20th century. In the present study, the power-law (Kennelly) and logarithmic (Péronnet-Thibault) models were compared with asymptotic models such as 2-parameter hyperbolic models (Hill and Scherrer), 3-parameter hyperbolic model (Morton), and exponential model (Hopkins). These empirical models were compared from the performance of 6 elite endurance runners (P. Nurmi, E. Zatopek, J. Väätäinen, L. Virén, S. Aouita, and H. Gebrselassie) who were world-record holders and/or Olympic winners and/or world or European champions. These elite runners were chosen because they participated several times in international competitions over a large range of distances (1500, 3000, 5000, and 10000 m) and three also participated in a marathon. The parameters of these models were compared and correlated. The less accurate models were the asymptotic 2-parameter hyperbolic models but the most accurate model was the asymptotic 3-parameter hyperbolic model proposed by Morton. The predictions of long-distance performances (maximal running speeds for 30 and 60 min and marathon) by extrapolation of the logarithmic and power-law models were more accurate than the predictions by extrapolation in all the asymptotic models. The overestimations of these long-distance performances by Morton's model were less important than the overestimations by the other asymptotic models.
Introduction to Machine Learning in Digital Healthcare Epidemiology

Abstract To exploit the full potential of big routine data in healthcare and to efficiently communicate and collaborate with information technology specialists and data analysts, healthcare epidemiologists should have some knowledge of large-scale analysis techniques, particularly about machine learning. This review focuses on the broad area of machine learning and its first applications in the emerging field of digital healthcare epidemiology.
Defining Early-Onset Colon and Rectal Cancers

Background: Colorectal cancer (CRC) incidence is rising in the young, yet the age of those affected is not clearly defined. In this study, we identify such cohorts and define clinicopathological features of early-onset colon and rectal cancers. Methods: The Surveillance, Epidemiology and End Results Program (SEER) database was queried to compare clinicopathological characteristics of colon and rectal cancers diagnosed during 1973–1995 with those diagnosed during 1995–2014. Results: We identified 430,886 patients with colon and rectal cancers. From 1973–1995 to 1995–2014, colon cancer incidence increased in patients aged 20–44 years, while rectal cancer incidence increased in patients aged ≤54 years. The percent change of cancer incidence was greatest for rectal cancer with a 41.5% (95% confidence interval (CI): 37.4–45.8%) increase compared to a 9.8% (CI: 6.2–13.6%) increase in colon cancer. Colon cancer has increased in tumors located in ascending, sigmoid, and rectosigmoid locations. Adenocarcinoma histology has increased in both colon and rectal cancers (P < 0.01), but mucinous and signet ring cell subtypes have not increased (P = 0.13 and 0.08, respectively). Incidence increases were race-specific, with rectal cancer seeing similar rises in white (38.4%, CI: 33.8–43.1%) and black populations (38.0%, CI: 26.2–51.2%), while colon cancer as a whole saw a rise in white (11.5%, CI: 7.2–15.9%) but not black populations (−6.8%, CI: −14.6–1.9%). Conclusions: Our study underscores the existence of key differences between early-onset colon (20–44 years) and rectal cancers (≤54 years) and provides evidence-based inclusion criteria for future investigations. We recommend that future research of CRC in the young should avoid investigating these cases as a single entity.
GEMRank: Global Entity Embedding For Collaborative Filtering

Recently, word embedding algorithms have been applied to map the entities of recommender systems, such as users and items, to new feature spaces using textual element-context relations among them. Unlike many other domains, this approach has not achieved a desired performance in collaborative filtering problems, probably due to unavailability of appropriate textual data. In this paper we propose a new recommendation framework, called GEMRank that can be applied when the user-item matrix is the sole available souce of information. It uses the concept of profile co-occurrence for defining relations among entities and applies a factorization method for embedding the users and items. GEMRank then feeds the extracted representations to a neural network model to predict user-item like/dislike relations which the final recommendations are made based on. We evaluated GEMRank in an extensive set of experiments against state of the art recommendation methods. The results show that GEMRank significantly outperforms the baseline algorithms in a variety of data sets with different degrees of density.
Wellbeing in Smart Environments: Definition, Measurement, Prediction and Control

What does well-being mean in the context of smart environments? What restrictions are set, how can well-being be measured and predicted? Can smart environments control or influence individual well-being? We seek to answer these questions by aggregating existing research on well-being and identifying the concepts relevant for smart environments. As a result, we provide a falsifiable definition candidate for well-being in smart environments and outline the experiments necessary for verifying the validity of the definition.
Quadratus lumborum block provides improved immediate postoperative analgesia and decreased opioid use compared with a multimodal pain regimen following hip arthroscopy

ABSTRACT The purpose of our study was to evaluate the effect on immediate patient outcomes following hip arthroscopy with use of a preoperative, single shot quadratus lumborum (QL) block. We retrospectively reviewed patients who underwent hip arthroscopy following a preoperative QL block. These patients were matched by age and gender to patients who had not received a block. Visual analogue scale (VAS) pain scores immediately postoperatively and at the time of discharge were recorded. Hourly and overall opioid intake in the postanesthesia care unit (PACU) was also recorded. Continuous data was analysed with paired t-test, with significance being defined as P < 0.05. Complications in the immediate postoperative period were recorded, as was time from admission to PACU to discharge. Fifty-six patients were included. Twenty-eight patients underwent QL block and 28 did not undergo a block. QL block patients required significantly less hydromorphone (P = 0.010) and oxycodone (P = 0.001) during their time in the PACU, and significantly fewer morphine equivalents overall and per hour in the PACU (P < 0.001). Despite receiving less opioid analgesia, QL block patients had significantly less pain immediately postoperatively (P = 0.026) and at the time of discharge (P = 0.015). The mean time to PACU discharge was 155 ± 49 min, and there was no difference in time to discharge between groups (P = 0.295). One patient in the QL block group experienced persistent flank numbness. Hip arthroscopy patients who received a preoperative QL block had less pain and a lower opioid requirement in PACU than those who did not receive a block. Level of Evidence: Level III (Retrospective matched cohort study).
Towards Automated Real Estate Assessment from Satellite Images with CNNs

A driving factor for real estate prices is the location quality. Models for location quality are usually built from available price information and distinct GIS information. In this paper, we present a first approach towards the automated assessment of location quality from satellite images using computer vision. For this purpose, we first introduce a novel dataset generated from publicly available data sources with suitable ground-truth annotations for location assessment. Next, we adapt a state-of-the-art convolutional neural network (CNN) and adapt it to predict different land covers and objects from satellite images. Finally, we feed information derived from the recognized land covers into a regression-based price model which acts as a proxy for the assessment of location quality. Our results show that (i) land cover classification can be performed with high accuracy and demonstrates that automatic classification could further be used in the future for the detection of mis-aligned and erroneous GIS data; (ii) our adapted network reaches stateof-the-art performance in much less training time compared to our reference network; (iii) the automatically extracted visual information improves the prediction of real estate prices and thereby shows clear potential for the description of location quality.
Long Noncoding RNA ANRIL: Lnc-ing Genetic Variation at the Chromosome 9p21 Locus to Molecular Mechanisms of Atherosclerosis

Ever since the first genome-wide association studies (GWAS) on coronary artery disease (CAD), the Chr9p21 risk locus has emerged as a top signal in GWAS of atherosclerotic cardiovascular disease, including stroke and peripheral artery disease. The CAD risk SNPs on Chr9p21 lie within a stretch of 58 kilobases of non-protein-coding DNA, containing the gene body of the long noncoding RNA (lncRNA) antisense non coding RNA in the INK4 locus (ANRIL). How risk is affected by the Chr9p21 locus in molecular detail is a matter of ongoing research. Here we will review recent advances in the understanding that ANRIL serves as a key risk effector molecule of atherogenesis at the locus. One focus of this review is the shift in understanding that genetic variation at Chr9p21 not only affects the abundance of ANRIL, and in some cases expression of the adjacent CDKN2A/B tumor suppressors, but also impacts ANRIL splicing, such that 3′-5′-linked circular noncoding ANRIL RNA species are produced. We describe how the balance of linear and circular ANRIL RNA, determined by the Chr9p21 genotype, regulates molecular pathways and cellular functions involved in atherogenesis. We end with an outlook on how manipulating circular ANRIL abundance may be exploited for therapeutic purposes.
Childhood determinants for early psychiatric disability pension: A 10-year follow-up study of the 1987 Finnish Birth Cohort

Background: Mental disorders can affect work ability and lead to early exit from the labour market through disability pension. Aims: This study aimed to identify childhood determinants of psychiatric disability pension in early adulthood. Methods: The 1987 Finnish Birth Cohort includes a complete census of children born in a single year. The children were followed up from birth until 31 December 2012 using official registers maintained by the Finnish authorities. Risk factors for disability pension were examined in the full 1987 cohort (N = 58,739) and among children who had received mental health care (N = 9,599). Odds ratios were calculated for disability pension due to all mental disorders and separately for schizophrenia, depressive and anxiety and other mental and behavioural disorders in association with childhood determinants. Results: Altogether, 1.4% of cohort members had retired due to mental disorders in 2003–2012. In the full 1987 cohort, female sex, parental divorce and social assistance, both mother’s and father’s psychiatric care and mother’s psychiatric disability pension increased the risk for disability pension due to mental disorders. Among children who had received mental health care, risk factors for psychiatric disability pension were father’s psychiatric care and mother’s psychiatric disability pension. Conclusion: Childhood determinants were related to the risk of psychiatric disability pension before the age of 25. The risk factors varied by the diagnosis of the disability pension. Using knowledge of this study’s risk factors should enable the identification of adolescents and young adults in general population and especially in the mental health care population who are at greatest risk of receipt of psychiatric disability pension.
Modern management of recurrent miscarriage

Recurrent miscarriage (RM), also known as recurrent pregnancy loss, is a distressing condition affecting around 1% of couples trying to conceive It can be very frustrating for both clinicians and patients as, despite intensive workup, no clear underlying pathology is forthcoming in at least 50% of couples. This leads to despair for patients and leaves clinicians at a loss for how to help. Desperation in both camps can promote the uptake of investigations and interventions of unproven benefit. The pathophysiology underpinning RM is incredibly diverse, involving areas such as haematology, endocrinology, immunology and genetics. During the seven to eight years since the UK Royal College of Obstetricians and Gynaecologists published guidelines on this topic in 2011, new evidence and guidance from expert authorities have emerged. Here, these important advances in this challenging field of clinical practice will be reviewed.
Integrating cognitive and emotion paradigms to address the paradox of aging

ABSTRACT Thirty years ago, the subfields of emotion and cognition operated relatively independently and the associated science reflected the tacit view that they were distinct constructs. Today, questions about the integration of cognition and emotion are among the most interesting questions in the field. I offer a personal view of the key changes that fuelled this shift over time and describe research from my group that unfolded in parallel and led to the identification of the positivity effect.
Renal ADAM10 and 17: Their Physiological and Medical Meanings

A disintegrin and metalloproteinases (ADAMs) are a Zn2+-dependent transmembrane and secreted metalloprotease superfamily, so-called “molecular scissors,” and they consist of an N-terminal signal sequence, a prodomain, zinc-binding metalloprotease domain, disintegrin domain, cysteine-rich domain, transmembrane domain and cytoplasmic tail. ADAMs perform proteolytic processing of the ectodomains of diverse transmembrane molecules into bioactive mediators. This review summarizes on their most well-known members, ADAM10 and 17, focusing on the kidneys. ADAM10 is expressed in renal tubular cells and affects the expression of specific brush border genes, and its activation is involved in some renal diseases. ADAM17 is weakly expressed in normal kidneys, but its expression is markedly induced in the tubules, capillaries, glomeruli, and mesangium, and it is involved in interstitial fibrosis and tubular atrophy. So far, the various substrates have been identified in the kidneys. Shedding fragments become released ligands, such as Notch and EGFR ligands, and act as the chemoattractant factors including CXCL16. Their ectodomain shedding is closely correlated with pathological factors, which include inflammation, interstitial fibrosis, and renal injury. Also, the substrates of both ADAMs contain the molecules that play important roles at the plasma membrane, such as meaprin, E-cadherin, Klotho, and CADM1. By being released into urine, the shedding products could be useful for biomarkers of renal diseases, but ADAM10 and 17 per se are also notable as biomarkers. Furthermore, ADAM10 and/or 17 inhibitions based on various strategies such as small molecules, antibodies, and their recombinant prodomains are valuable, because they potentially protect renal tissues and promote renal regeneration. Although temporal and spatial regulations of inhibitors are problems to be solved, their inhibitors could be useful for renal diseases.
What predicts overgeneral memory in youth? Testing the CaR-FA-X model longitudinally in community adolescents

Abstract Overgeneral autobiographical memory, the tendency to report general memories when asked to report specific event recollections, has been implicated in the development and maintenance of psychopathology. The dominant model of overgeneral memory, the CaR-FA-X model (Williams et al., 2007), proposes that three cognitive processes (increased rumination and avoidance, and reduced executive control) either independently, or in interaction, interfere with successful memory retrieval. Although psychopathology increases significantly during adolescence, no research has tested this model in its entirety, including interaction effects, longitudinally in community youth. We tested the model with 323 adolescents (152 females, 171 males) across four annual assessment points. Increased avoidance predicted higher proportions of overgeneral memories from Time 3 to Time 4, but this association was stronger for youth with elevated depressive symptoms across the four waves, and limited to memories generated in response to negative cue words. This finding may indicate that youth with stable higher levels of depression remember in an overgeneral way to avoid re-elicitation of negative event-related emotions. In youth with lower depression levels across time, the CaR-FA-X mechanisms did not predict overgeneral memory.
Excitability of oxytocin neurons in paraventricular nucleus is regulated by voltage-gated potassium channels Kv4.2 and Kv4.3

ABSTRACT Oxytocin is produced by neurons in the paraventricular nucleus (PVN) and the supraoptic nucleus in the hypothalamus. Various ion channels are considered to regulate the excitability of oxytocin neurons and its secretion. A-type currents of voltage-gated potassium channels (Kv channels), generated by Kv4.2/4.3 channels, are known to be involved in the regulation of neuron excitability. However, it is unclear whether the Kv4.2/4.3 channels participate in the regulation of excitability in PVN oxytocin neurons. Here, we investigated the contribution of the Kv4.2/4.3 channels to PVN oxytocin neuron excitability. By using transgenic rat brain slices with the oxytocin-monomeric red fluorescent protein 1 fusion transgene, we examined the excitability of oxytocin neurons by electrophysiological technique. In some oxytocin neurons, the application of Kv4.2/4.3 channel blocker increased firing frequency and membrane potential with extended action potential half-width. Our present study indicates the contribution of Kv4.2/4.3 channels to PVN oxytocin neuron excitability regulation. Abbreviation: PVN, paraventricular nucleus; Oxt-mRFP1, Oxt-monometric red fluorescent protein 1; PaTx-1, Phrixotoxin-1; TEA, Tetraethylammonium Chloride; TTX, tetrodotoxin; aCSF, artificial cerebrospinal fluid;PBS, phosphate buffered saline 3v, third ventricle. GRAPHICAL ABSTRACT The opening of Kv 4.3/4.2 channels may induce repolarization of PVN oxytosin neurons and regulate membrane excitability.