Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristics and costs in adults with acute poisoning admitted to the emergency department of a university hospital in Belgium

Objective The aims of this study were to assess the characteristics of all acute poisoning admissions among adult emergency department (ED) patients, to identify factors associated with admission and to calculate direct medical cost. Methods Data of 2017 (1st January to 31st December) were collected and analyzed retrospectively using patients’ medical records and hospital invoices. Factors associated with type of hospitalization were identified using appropriate statistics. Results A total of 1,214 hospital admissions were included, accounting for 3.6% of all ED admissions. Men (62.2%) and the age group 21–40 years (43.0%) accounted for the largest proportion. Substances most commonly involved were ethanol (52.9%), benzodiazepines (9.7%), cocaine (4.9%), cannabis (4.6%), antidepressants (4.6%) and psychostimulants (4.6%). A total of 4,561 treatment acts were recorded, most commonly monitoring of vital signs (63.6%) and medication and/or intravenous drip administration (62.9%). Patients were discharged home after having received care in the emergency department (ED-amb) in 54.5% of admissions, were admitted to the emergency-department-24-hours-observation unit (ED-24h) or were hospitalized (Hosp) in 24.6% and 20.9% of admissions, respectively. Factors found to be associated with hospitalization type were age, hour of admission, victim location, degree of severity, use of antidotes, involvement of antidepressants, antipsychotics, psychostimulants, benzodiazepines and ethanol. Total cost was €1,512,346 with an average of €1,287 per admission. Conclusion Poisonings entail a considerable percentage of patients admitted to an ED and financial burden. In particular, ethanol poisonings account for the largest proportion of all ED admissions. Comparison of our figures with other data is hampered by the heterogeneity in inclusion criteria. Availability of a uniform template would facilitate comparison and allow better monitoring policies for prevention and cost reduction.
Mitochondrial Dynamics and Its Involvement in Disease.

The dynamic properties of mitochondria-including their fusion, fission, and degradation-are critical for their optimal function in energy generation. The interplay of fusion and fission confers widespread benefits on mitochondria, including efficient transport, increased homogenization of the mitochondrial population, and efficient oxidative phosphorylation. These benefits arise through control of morphology, content exchange, equitable inheritance of mitochondria, maintenance of high-quality mitochondrial DNA, and segregation of damaged mitochondria for degradation. The key components of the machinery mediating mitochondrial fusion and fission belong to the dynamin family of GTPases that utilize GTP hydrolysis to drive mechanical work on biological membranes. Defects in this machinery cause a range of diseases that especially affect the nervous system. In addition, several common diseases, including neurodegenerative diseases and cancer, strongly affect mitochondrial dynamics. Expected final online publication date for the Annual Review of Pathology: Mechanisms of Disease, Volume 15 is January 24, 2020. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
Unidirectional Representation-Based Efficient Dictionary Learning

Dictionary learning (DL) has been widely studied for pattern classification. Most existing methods introduce multiple discriminative terms into objective functions for accuracy improvement, leading to complex learning frameworks and high computational burdens. This paper proposes a simple yet effective DL algorithm for classification, namely unidirectional representation dictionary learning (URDL). Unidirectional constraint is proposed to guide coefficient directions in the representation to be discriminative. Besides, direction-thresholding is proposed to exploit the direction property in the classification scheme. It suppresses the disturbance from undesired non-zero coefficients, and improves the representation discriminability. We adopt squared $\ell _{2}$ -norm-based regularization for efficient coding, and systematically analyze the mechanism of the proposed method. Extensive experiments on five data sets are conducted, including object categorization, scene classification, face recognition, and fine-grained flower classification. The experimental results demonstrate that the proposed approach not only outperforms the state-of-the-art DL algorithms in terms of recognition accuracy significantly, but also exhibits a much higher computational efficiency.
A novel classification method applied to well log data calibrated by ontology based core descriptions

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DEVELOPING ASSESSMENT AS LEARNING BASED ON PROBLEM-SOLVING TO PROMOTE UNIVERSITY STUDENTS' SKILLS IN CRITICAL-CREATIVE THINKING

Assessment as learning is an assessment to guide and provide opportunities for participants to monitor and reflect critically on their learning processes and outcomes. This study aimed to produce assessments as learning based on problem-solving that could be used to improve university students' skills in critical-creative thinking and to test the validity, reliability, and effectiveness of the assessment. The research design used was a 4D model, which stands for 'defining, designing and developing, and disseminating. The research data consisted of two categories, which were qualitative and quantitative. The qualitative data were in the form of comments, criticisms, and suggestions from the expert team specializing in assessment; the quantitative data were in the form of critical-creative skills scores of product users. Qualitative data sources were the expert assessment team, and quantitative data sources were the fourthsemester college students of the Indonesian Department, Faculty of Letters, Universitas Negeri Malang. The research findings show that the product was valid and reliable. Besides, the result of the test of effectiveness indicated that this assessment could improve university students' skills in critical-creative thinking.
Randomized controlled trial of oral versus intravenous fluid supplementation on serum bilirubin level during phototherapy of term infants with severe hyperbilirubinaemia.

Objective To compare the rates of decrease in serum bilirubin levels in severely jaundiced healthy term infants given oral or intravenous fluid supplementation during phototherapy. Methods A randomized controlled study was carried out in the neonatal intensive care unit (NICU) of Hospital Universiti Kebangsaan Malaysia over a 12-month period. Fifty-four healthy term infants with severe hyperbilirubinemia were randomized to receive either solely enteral feeds (n = 27) or both enteral and intravenous (n = 27) fluid during phototherapy. Results There were no significant differences in the mean birthweight, mean gestational age, ethnic distribution, gender distribution, modes of delivery and types of feeding between the two groups. Similarly, there was no significant difference in the mean indirect serum bilirubin (iSB) level at the time of admission to the NICU between the enteral (359 +/- 69 micromol/L [mean +/- SD]) and intravenous group (372 +/- 59 micromol/L; P = 0.4). The mean rates of decrease in iSB during the first 4 h of phototherapy were also not significantly different between the enteral group (10.4 +/- 4.9 micromol/L per h) and intravenous group (11.2 +/- 7.4 micromol/L per h; P = 0.6). There was no significant difference in the proportion of infants requiring exchange transfusion (P = 0.3) nor in the median duration of hospitalization (P = 0.7) between the two groups. No infant developed vomiting or abdominal distension during the study period. Conclusion Severely jaundiced healthy term infants had similar rates of decrease in iSB levels during the first 4 h of intensive phototherapy, irrespective of whether they received oral or intravenous fluid supplementation. However, using the oral route avoided the need for intravenous cannulae and their attendant complications.
COMPARISON OF APGAR SCORE IN NEONATES: SPINAL VERSUS GENARAL ANAESTHESIA FOR ELECTIVE CAESAREAN SECTION.

Background: 10 point Apgar score has been used to assess the condition and prognosis of newborn infants throughout the world. Objective of the study is to compare the effects of general and spinal anesthesia on Apgar score in newborns of pregnant women undergoing elective caesarean section. STUDY DESIGN: Retrospective observational study. SETTING: This study was conducted in the department of pediatrics between December 2012 to June 2013. SUBJECTS AND METHODS: Recorded Apgar scores of 90 neonates were retrospectively studied after obtaining data from medical records department. Mothers of neonate in Group R (N: 60) underwent caesarean section by spinal anesthesia and mothers of neonates in Group G (N: 30) by general anesthesia. Apgar score ≥ 7 was considered as Satisfactory to the newborns. ANALYSIS: The data collected was analyzed through statistical package SPSS version 10.0. Descriptive statistics were used to describe the data; independent samples't-test was used to compare quantitative variables. Qualitative variables were compared through chi-square test. P value 7 was observed in significantly more neonates in group R as compare to group G (p <0.05). mean ±SD values of Apgar score at 01 and 5 minutes was also significantly higher in group R than group G (8.44±0.51 vs. 6.90±0.71 at 01 min and 9.71±0.25 vs. 9.04±0.77 at 5 min)(p<0.001). CONCLUSION: Apgar scores were better preserved in neonates born to mother under spinal anesthesia for lower segment elective Cesarean sections.
BlindDate recommender: A context-aware ontology-based dating recommendation platform

Online dating sites have become popular platforms for those individuals who utilise the Internet to develop a personal or romantic relationship. Unlike typical recommenders systems, which attempt to suggest items such as films, songs, books and so on. According to a user’s interests, dating recommender systems provide services that people can use to find potential romantic partners. Since these services have a higher expectancy of users, online dating sites are considering the introduction of recommender systems in order to build an improved dating network. Different kinds of techniques based on content-based, collaborative filtering or hybrid techniques exist. In this article, we introduce BlindDate recommender, a context-based platform that utilises semantic technologies to describe users’ preferences more precisely. We utilise DBPedia repositories to obtain information that is subsequently used to enrich a previously generated ontology model. The instances inserted into the ontology enable the matching algorithms that we have generated to identify potential matches between users. In order to validate the performance of the platform, we utilise a real-world data set that has produced relevant results enhancing the accuracy compared with other well-known approaches and identifying the discriminant parameters used in the dating domain. More specifically, the proposed approach attains 0.79, 0.8 and 0.55 in the I-Precision, I-Recall and I-F-measure, respectively, when employed in separate topics.
Feature extraction from telematics car driving heatmaps

Insurance companies have started to collect high-frequency GPS car driving data to analyze the driving styles of their policyholders. In previous work, we have introduced speed and acceleration heatmaps. These heatmaps were categorized with the K-means algorithm to differentiate varying driving styles. In many situations it is useful to have low-dimensional continuous representations instead of unordered categories. In the present work we use singular value decomposition and bottleneck neural networks (autoencoders) for principal component analysis. We show that a two-dimensional representation is sufficient to re-construct the heatmaps with high accuracy (measured by Kullback–Leibler divergences).
The ‘health-related selection effect’ on occupational morbidity rates

The aim of this study was to investigate the extent to which differences between physically light and heavy work, with respect to the development of health problems, might in cross-sectional data be eliminated or diminished by health-related selection into and out of occupations. The study population comprised 12,314 men and 12,393 women between 25 and 74 years of age, who were interviewed within the framework of the Statistics Sweden Survey of Living Conditions. For all respondents, detailed occupational histories were recorded. For all the diseases and functional disorders studied, morbidity differences were apparently diminished compared to what would be expected if there was no selection. This association was most apparent when studying musculoskeletal disorders, impaired hearing and impaired working capacity for men.
Performance and modelling of transverse rumble strips on noise and vibration stimuli

Transverse rumble strips (TRS) are commonly used in reducing vehicle speed and increasing drivers’ alertness on roadway through optical, sound and vibration effects. However, when inappropriately designed, TRS sound and vibration may become too excessive, thus compromise road users’ comfort and annoy local residents who live adjacent to the roadway. This study aims to contribute to the knowledge that will be used to improve the optimisation of TRS cross-section design for road user’s comfort and sustainable living of the neighbourhood. The objectives of this study were to: classify TRS profiles and assess the noise annoyance response towards TRS noise; measure and model TRS roadside noise level and analyse the possible tyre-TRS interaction mechanisms that involved in the TRS roadside noise generation; evaluate and estimate vehicle in-cabin TRS sound and vibration; develop the optimum TRS cross section design for road users’ comfort. Site investigation and social survey study had been carried out to classify the type of TRS profile used on the roadway and to assess the noise annoyance response towards TRS noise experienced by neighbourhood. Traffic noise assessment and controlled pass-by method were carried out to evaluate and estimate roadside noise level due to TRS and to analyse the possible tyre-TRS vibration mechanisms that were involved in the generation of TRS noise. In-cabin sound and vibration measurements were conducted to evaluate incabin vibration and sound due to TRS. Weber’s Law was used to determine appropriate vibration to road user comfort, hence optimum TRS cross section design was proposed. The results indicated that three main types of TRS profile existed on the road namely; raised rumbler, middle overlap and multi-layer overlap. Generally, respondents were annoyed with TRS noise. TRS noise depended on the factor of traffic volume, speed, TRS profile and thickness. TRS vibration depended on the factor of vehicle speed and TRS thickness. Raised rumbler’s profile generated the highest noise as a result from air pumping tyre-pavement mechanism. TRS optimum cross section design was proposed to enhance TRS performance in providing appropriate vibration to road user.
Grounding natural language phrases in images and video

Grounding language in images has shown it can help improve performance on many image-language tasks. To spur research on this topic, this dissertation introduces a new dataset which provides the ground truth annotations of the location of noun phrase chunks in image captions. I begin by introducing a constituent task termed phrase localization, where the goal is to localize an entity known to exist in an image when provided with a natural language query. To address this task, I introduce a model which learns a set of models, each of which capture a different concept which is useful in our task. These concepts can be predefined, such as attributes gleamed from the adjectives, as well as those which are automatically learned in a single-end-to-end neural network. I also address the more challenging detection style task, where the goal is to localize a phrase and determine if it is associated with an image. Multiple applications of the models presented in this work demonstrate their value beyond the phrase localization task.
Modelling a multichannel security protocol to address Man in the Middle attacks

Unlike wired networks, wireless networks cannot be physically protected, making them greatly at risk. This study looks into advanced ways of implementing security techniques in wireless networks. It proposes using model checking and theorem proving to prove and validate a security protocol of data transmission over multi-channel in Wireless Local Area Networks (WLANs) between two sources. This can help to reduce the risk of wireless networks being vulnerable to Man in the Middle (MitM) attacks. We model secure transmission over a two-host two-channel wireless network and consider the transmission in the presence of a MitM attack. The main goal of adding an extra channel to the main channel is to provide security by stopping MitM from getting any readable data once one of these channels has been attacked. We analyse the model for vulnerabilities and specify assertions for secure data transmission over a multi-channel WLAN. Our approach uses the model analyser Alloy which uses a Satisfiability (SAT) solver to find a model of a Boolean formula. Alloy characterizations of security models are written to analyse and verify that the implementation of a system is correct and achieves security relative to assertions about the model of our security protocol. Further, we use the Z3 theorem prover to check satisfiability using the Satisfiability Modulo Theories (SMT) solver to generate results. Using Z3 does not involve high costs and can help with providing reliable results that are accurate and practical for complex designs. We conclude that, based on the results we achieved from analysing our protocol using Alloy and Z3 SMT solver, the solvers complement each other in their strengths and weaknesses. The common weakness is that neither can tell us why the model is inconsistent, if it is inconsistent. We suggest that an approach of beginning with modelling a problem using Alloy and then turning to prove it using Z3, increases overall confidence in a model.
Burns in substance abusers and in neurologically and mentally impaired patients.

Drug and alcohol abusers, psychiatric patients, and those with neurologic dysfunction represent a large proportion of burn victims, but little is known about the impact of these conditions on burn morbidity. We wanted to determine whether this group has more complications, more surgical procedures, and longer hospital stays than other burn patients. We also wanted to find out if it cost more to care for these patients. A retrospective study of 180 patients admitted from January 1, 1986, to September 1, 1986, revealed that 51 (28%) of our patients had one or more of these impairments. The impaired and control groups were similar in the size of burn and the proportion of third-degree burns. The impaired group was much more likely to have flame burns and was somewhat older. The impaired patients stayed in the hospital nearly twice as long, had 60% more operations, and were twice as likely to have complications. No difference was seen in the frequency of death. Language: en
Rapid Spontaneous Resolution of an Acute Subdural Hematoma

: A patient is reported who had spontaneous resolution of an acute traumatic subdural hematoma within 6 hours. In this period, clinical signs improved and computed tomography suggested disappearance of the hematoma. Magnetic resonance imaging demonstrated no real disappearance, but rather a redistribution of the blood. A rapid resolution like this has not been observed previously in the natural history of acute subdural hematoma.
Reduced Concentration of Serum Growth Hormone (GH)-Binding Protein in Children with Chronic Renal Failure: Correlation with GH Insensitivity

Growth retardation in children with chronic renal failure (CRF) despite normal or elevated GH levels indicates a peripheral insensitivity to the action of GH. One possible molecular mechanism is a reduced density of GH receptors in GH target organs. In humans, the circulating high affinity GH binding protein (GHBP) is thought to reflect GH receptor expression, because it is derived from the extracellular domain of the GH receptor by proteolytic cleavage. We, therefore, analyzed serum GHBP levels by ligand-mediated immunofunctional assay in 126 children with CRF compared to reference values obtained by analysis of 773 healthy children. In 77% of CRF patients, serum GHBP concentrations were below the mean for age- and gender-matched controls. The decrease in serum GHBP levels was related to the degree of renal dysfunction. In advanced CRF (glomerular filtration rate, <35 mL/min·1.73 m2), mean age- and gender-adjusted GHBP levels were −1.40 ± 0.18 sd score; 36% of patients had GHBP levels below the normal ra.
An Allopurinol-Controlled, Multicenter, Randomized, Open-Label, Parallel Between-Group, Comparative Study of Febuxostat (TMX-67), a Non-Purine-Selective Inhibitor of Xanthine Oxidase, in Patients With Hyperuricemia Including Those With Gout in Japan: Phase 2 Exploratory Clinical Study

Background: Allopurinol has been widely used for the treatment of hyperuricemia, however, it may be associated with various adverse effects. Febuxostat has been identified as a potentially safe and efficacious alternative. Objectives: Febuxostat was administered to patients with hyperuricemia including gout in Japan to compare its efficacy and safety with those of allopurinol. Methods: The starting dose of febuxostat and allopurinol was 10 and 100 mg/d, respectively, and was increased to the fixed maintenance dose of 40 or 60 mg/d for febuxostat and 300 mg/d for allopurinol for 16 weeks. Results: The percent change in the serum uric acid level at 16 weeks compared with the baseline serum uric acid level was −42.96% ± 13.33% and −52.47% ± 9.79% for the febuxostat 40- and 60-mg/d groups, respectively, and −36.55% ± 18.59% for the allopurinol group, indicating that the hypouricemic effects of febuxostat increased in a dose-dependent manner and equaled to or surpassed those of allopurinol (P = 0.0239, 2-sample t test). The percentage of patients with serum uric acid levels of 6.0 mg/dL or less at 16 weeks was 88.9% and 100% for the febuxostat 40- and 60-mg/d groups, respectively, and 68.8% for the allopurinol group, showing higher achievements for the febuxostat groups compared with the allopurinol group. All adverse drug reactions were mild to moderate in severity, and there were no severe symptoms or reactions leading to drug discontinuation. Conclusions: These results suggest that febuxostat is safe at doses of 40 and 60 mg/d and has equal or greater efficacy than 300 mg/d allopurinol.