Miracle-dz/UniFAR-FTUs huggingface dataset:
Variation in the definition of intrauterine growth restriction in routine antenatal care: a physician survey among gynecologists in Northwest Germany

Abstract Objective: To assess how intrauterine growth restriction (IUGR) is defined by gynecologists in routine practice. Materials and methods: We surveyed primary care gynecologists in Bremen and Lower Saxony, Northwest Germany, between January and July 2014. Descriptive statistics were used to analyze the data; consensus was considered as 90% agreement among the respondents. Multiple logistic regression models were performed for the associations between respondents’ background characteristics and choice of the small for gestational age (SGA) cutoff values. Results: Overall, 185 primary care gynecologists participated in the survey. Consensus was only observed in two items: (1) an accurate determination of gestational age (91%) and (2) repeated measurement of the abdominal circumference (91%). Umbilical artery Doppler (76%) and repeated ultrasonography (76%) were the most frequently used methods to confirm suspected IUGR diagnoses, but different responses prevailed. Notably, only 46% of the respondents opted for the 10th percentile of estimated fetal weight as a cutoff for SGA classification, which is the internationally recommended value. Conclusions: The results of this survey indicate considerable practice variation regarding detection and management of IUGR pregnancies. There is a need for better agreement in terminology and definition of core aspects of IUGR in antenatal care.
Pedestrian Inattention Blindness While Playing Pokémon Go as an Emerging Health-Risk Behavior: A Case Report

Background Cases of trauma resulting from the use of mobile phones while driving motor vehicles have become quite common in recent years. Road injuries incurred by people playing video games on mobile phones (or other media devices) while walking have also become a cause for concern. Pokémon Go has been the world's most popular game since it was launched in July 2016, with more than 15 million players trying to catch all Pokémon available in the game; however, the case detailed here is the first reported accident in the medical literature caused by a pedestrian distracted by the game while crossing a street. Objective We aim to provide additional information on the innovative nature of distractions that generate risks in road-users, and to explore the underreporting of pedestrian-motor vehicle collisions due to mobile device usage. Methods We included in this case report a 25-year-old male who suddenly crossed a road while playing Pokémon Go and was hit by a van, reporting several injuries and being assisted by the Emergency Medical Service of our hospital (Padova, Italy). The patient’s history, the circumstances in which the collision happened, imaging data, and clinical course information were recorded per our hospital’s privacy policy. Results The patient hit by the van was playing Pokémon Go on his mobile phone while crossing a street, despite red traffic lights, which he did not notice due to of the distraction induced by the game. Conclusions Mobile videogames that imply movement (ie, walking, running, cycling) to play are an effective way to improve physical activity practice, especially in adolescents and young adults. Nevertheless, cases like the one presented here point out that these games could pose a significant risk to users who play while walking, cycling, or driving in unsafe areas such as city streets, because players become distracted and may ignore surrounding hazards. Comprehensive, multilevel interventions are needed to reduce accidents caused by distraction, and to stress findings on the positive and negative effects of video games, which are becoming a source of public health concern. Health care providers should be aware of their chief role in these possible prevention strategies, based on their direct interactions with road incident victims.
THE EMPIRICAL ANALYSIS OF FISCAL ILLUSION

This paper examines the empirical analysis of the five main hypotheses subsumed under the generic term fiscal illusion. After placing these hypotheses within a common theoretical framework, the paper attempts to evaluate empirical research into the revenue-complexity hypothesis, the revenueelasticity hypothesis, the flypaper effect, renter illusion, and debt illusion.
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions

We propose a novel information-theoretic approach for Bayesian optimization called Predictive Entropy Search (PES). At each iteration, PES selects the next evaluation point that maximizes the expected information gained with respect to the global maximum. PES codifies this intractable acquisition function in terms of the expected reduction in the differential entropy of the predictive distribution. This reformulation allows PES to obtain approximations that are both more accurate and efficient than other alternatives such as Entropy Search (ES). Furthermore, PES can easily perform a fully Bayesian treatment of the model hyperparameters while ES cannot. We evaluate PES in both synthetic and real-world applications, including optimization problems in machine learning, finance, biotechnology, and robotics. We show that the increased accuracy of PES leads to significant gains in optimization performance.
Characterization of Chemosynthetic Microbial Mats Associated with Intertidal Hydrothermal Sulfur Vents in White Point, San Pedro, CA, USA

The shallow-sea hydrothermal vents at White Point (WP) in Palos Verdes on the southern California coast support microbial mats and provide easily accessed settings in which to study chemolithoautotrophic sulfur cycling. Previous studies have cultured sulfur-oxidizing bacteria from the WP mats; however, almost nothing is known about the in situ diversity and activity of the microorganisms in these habitats. We studied the diversity, micron-scale spatial associations and metabolic activity of the mat community via sequence analysis of 16S rRNA and aprA genes, fluorescence in situ hybridization (FISH) microscopy and sulfate reduction rate (SRR) measurements. Sequence analysis revealed a diverse group of bacteria, dominated by sulfur cycling gamma-, epsilon-, and deltaproteobacterial lineages such as Marithrix, Sulfurovum, and Desulfuromusa. FISH microscopy suggests a close physical association between sulfur-oxidizing and sulfur-reducing genotypes, while radiotracer studies showed low, but detectable, SRR. Comparative 16S rRNA gene sequence analyses indicate the WP sulfur vent microbial mat community is similar, but distinct from other hydrothermal vent communities representing a range of biotopes and lithologic settings. These findings suggest a complete biological sulfur cycle is operating in the WP mat ecosystem mediated by diverse bacterial lineages, with some similarity with deep-sea hydrothermal vent communities.
The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities

Polychronous groups are unique temporal patterns of neural activity that exist implicitly within non-linear, recurrently connected networks. Through Hebbian based learning these groups can be strengthened to give rise to larger chains of spatiotemporal activity. Compared to other structures such as Synfire chains, they have demonstrated the potential of a much larger capacity for memory or computation within spiking neural networks. Polychronous groups are believed to relate to the input signals under which they emerge. Here we investigate the quantity of groups that emerge from increasing numbers of repeating input patterns, whilst also comparing the differences between two plasticity rules and two network connectivities. We find - perhaps counter-intuitively - that fewer groups are formed as the number of repeating input patterns increases. Furthermore, we find that a tri-phasic learning rule gives rise to fewer groups than the `classical' double decaying exponential STDP plasticity window. It is also found that a scale-free network structure produces a similar quantity, but generally smaller groups than a randomly connected Erdös-Rényi structure.
The close-in companion of the fast rotating Be star Achernar

Context. The Be stars are massive dwarf or subgiant stars that present temporary emission lines in their spectrum, and particularly in the Hα line. The mechanism triggering these Be episodes is currently unknown, but binarity could play an important role. Aims. Previous observations with the VLT/VISIR instrument (Kervella & Domiciano de Souza 2007, A&A, 474, L49) revealed a faint companion to Achernar, the brightest Be star in the sky. The present observations are intended to characterize the physical nature of this object. Methods. We obtained near-IR images and an H-band spectrum of Achernar B using the VLT/NACO adaptive optics systems. Results. Our images clearly show the displacement of Achernar B over a portion of its orbit around Achernar A. Although there are not enough data to derive the orbital parameters, they indicate a period of about 15 yr. The projected angular separation of the two objects in December 2007 was less than 0.15 �� , or 6.7 AU at the distance of Achernar. Conclusions. From its flux distribution in the near- and thermal-infared, Achernar B is most likely an A1V-A3V star. Its orbital period appears similar to the observed pseudo-periodicity of the Be phenomenon of Achernar. This indicates that an interaction between A and B at periastron could be the trigger of the Be episodes.
Optimal Executive Compensation vs. Managerial Power: A Review of Lucian Bebchuk and Jesse Fried's Pay Without Performance: The Unfulfilled Promise of Executive Compensation

This essay reviews Bebchuk and Fried's "Pay without Performance: The Unfulfilled Promise of Executive Compensation". Bebchuk and Fried criticize the standard view of executive compensation, in which executives negotiate contracts with shareholders that provide incentives that motivate them to maximize the shareholders' welfare. In contrast, Bebchuk and Fried argue that executive compensation is more consistent with executives who control their own boards, and who maximize their own compensation subject to an "outrage constraint". They provide a host of evidence consistent with this alternative viewpoint. The book can be evaluated from both a positive and a normative perspective. From a positive perspective, much of the evidence they present, especially about the camouflage and risk-taking aspects of executive compensation systems, is fairly persuasive. However, from a normative perspective, the book conveys the idea that policy changes can dramatically improve executive compensation systems and consequently overall corporate performance. It is unclear to me how effective in practice are potential reforms designed to achieve such changes likely to be.
Evaluation of Anti-inflammatory and Some Possible Mechanisms of Antinociceptive Effect of Ferula assa foetida Oleo Gum Resin

Asafetida is well known for its medicinal and therapeutic values in Iranian folk medicine. This study was conducted to investigate the antinociceptive and anti-inflammatory effects of asafetida. In hot plate test, asafetida exhibited a significant antinociceptive effect at all administered doses and the most effective dose was 10 mg/kg. The highest maximum potent effect was observed 15 minutes after asafetida administration. The antinociceptive effect of asafetida was not reversed by administration of any antagonist used in this study but asafetida showed a remarkable antioxidant and also inhibitory action against lipoxygenase activity. Paw weight was significantly reduced only in treated animals with 2.5 mg/kg asafetida. Results clearly indicate that the asafetida could be a potential source of anti-inflammatory and analgesic agent. These effects may be due to its effective constituents such as monoterpenes, flavonoids and phenolic components that have antioxidant properties and inhibit lipoxygenase activity.
VRK2 Inhibits Mitogen-Activated Protein Kinase Signaling and Inversely Correlates with ErbB2 in Human Breast Cancer

ABSTRACT The epidermal growth factor (EGF)-ErbB-mitogen-activated protein kinase (MAPK) transcription signaling pathway is altered in many types of carcinomas, and this pathway can be regulated by new protein-protein interactions. Vaccinia-related kinase (VRK) proteins are Ser-Thr kinases that regulate several signal transduction pathways. In this work, we study the effect of VRK2 on MAPK signaling using breast cancer as a model. High levels of VRK2 inhibit EGF and ErbB2 activation of transcription by the serum response element (SRE). This effect is also detected in response to H-Ras(G12V) or B-Raf(V600E) oncogenes and is accompanied by a reduction in phosphorylated extracellular signal-regulated kinase (ERK) levels, p90RSK levels, and SRE-dependent transcription. Furthermore, VRK2 knockdown has the opposite effect, increasing the transcriptional response to stimulation with EGF and leading to increased levels of ERK phosphorylation. The molecular mechanism lies between MAPK/ERK kinase (MEK) and ERK, since MEK remains phosphorylated while ERK phosphorylation is blocked by VRK2A. This inhibition of the ERK signaling pathway is a consequence of a direct protein-protein interaction between VRK2A, MEK, and kinase suppressor of Ras 1 (KSR1). Identification of new correlations in human cancer can lead to a better understanding of the biology of individual tumors. ErbB2 and VRK2 protein levels were inversely correlated in 136 cases of human breast carcinoma. In ErbB2+ tumors, there is a significant reduction in the VRK2 level, suggesting a role for VRK2A in ErbB2-MAPK signaling. Thus, VRK2 downregulation in carcinomas permits signal transmission through the MEK-ERK pathway without affecting AKT signaling, causing a signal imbalance among pathways that contributes to the phenotype of breast cancer.
First outbreak of Trypanosoma evansi in camels in metropolitan France

The first outbreak of trypanosomosis caused by Trypanosoma evansi in camels in France was reported on a farm in the Aveyron Department. Five camels were imported from the Canary Islands to the farm in early July 2006, and trypanosomes were observed on a stained blood smear from one of them, which died in October. On further investigations, trypanosomes were observed in the blood of five camels, three of them indigenous to the farm and two that had been imported. On the basis of microscopical examination (morphological criteria and measurements) and serological results based on the card agglutination T evansi test and pcr typing, the parasites were identified as T evansi. After treatment with melarsomine, the infected camels rapidly became negative by parasitological tests and were negative two to four months later by serological tests. The parasite was probably transmitted by tabanids and Stomoxys calcitrans, which were abundant in July to September 2006. No parasites were observed in other animals on the farm or on neighbouring farms, but some of the sheep on these farms were positive by pcr or serology.
Linear Text Segmentation using a Dynamic Programming Algorithm

In this paper we introduce a dynamic programming algorithm to perform linear text segmentation by global minimization of a segmentation cost function which consists of: (a) within-segment word similarity and (b) prior information about segment length. The evaluation of the segmentation accuracy of the algorithm on Choi's text collection showed that the algorithm achieves the best segmentation accuracy so far reported in the literature.
Evaluation of the renal effects of experimental feeding of melamine and cyanuric acid to fish and pigs.

OBJECTIVE To determine whether renal crystals can be experimentally induced in animals fed melamine or the related triazine compound cyanuric acid, separately or in combination, and to compare experimentally induced crystals with those from a cat with triazine-related renal failure. ANIMALS 75 fish (21 tilapia, 24 rainbow trout, 15 channel catfish, and 15 Atlantic salmon), 4 pigs, and 1 cat that was euthanatized because of renal failure. PROCEDURES Fish and pigs were fed a target dosage of melamine (400 mg/kg), cyanuric acid (400 mg/kg), or melamine and cyanuric acid (400 mg of each compound/kg) daily for 3 days and were euthanatized 1, 3, 6, 10, or 14 days after administration ceased. Fresh, frozen, and formalin-fixed kidneys were examined for crystals. Edible tissues were collected for residue analysis. Crystals were examined for composition via Raman spectroscopy and hydrophilic-interaction liquid chromatography-tandem mass spectrometry. RESULTS All animals fed the combination of melamine and cyanuric acid developed goldbrown renal crystals arranged in radial spheres (spherulites), similar to those detected in the cat. Spectral analyses of crystals from the cat, pigs, and fish were consistent with melamine-cyanurate complex crystals. Melamine and cyanuric acid residues were identified in edible tissues of fish. CONCLUSIONS AND CLINICAL RELEVANCE Although melamine and cyanuric acid appeared to have low toxicity when administered separately, they induced extensive renal crystal formation when administered together. The subsequent renal failure may be similar to acute uric acid nephropathy in humans, in which crystal spherulites obstruct renal tubules.
CAPI : Generalized Classification-based Approximate Policy Iteration

Efficient methods for tackling large reinforcement learning problems usually exploit regularities, or intrinsic structures, of the problem in hand. Most current methods benefit from the regularities of either value function or policy, but not both. In this paper, we introduce a general classification-based approximate policy iteration (CAPI) framework, which can benefit from both types of regularities. This framework has two main components: a generic user-specified value function estimator and a weighted classifier that learns a policy based on the estimated value function. The result is a flexible and sample-efficient class of algorithms. We also use a particular instantiation of CAPI to design an adaptive treatment strategy for HIV-infected patients. Comparison with a state-of-the-art purely value-based reinforcement learning algorithm, Tree-based Fitted Q-Iteration, shows that benefitting from the regularity of both policy and value function can lead to better performance.
The Geographic Distribution of Loa loa in Africa: Results of Large-Scale Implementation of the Rapid Assessment Procedure for Loiasis (RAPLOA)

Background Loiasis is a major obstacle to ivermectin treatment for onchocerciasis control and lymphatic filariasis elimination in central Africa. In communities with a high level of loiasis endemicity, there is a significant risk of severe adverse reactions to ivermectin treatment. Information on the geographic distribution of loiasis in Africa is urgently needed but available information is limited. The African Programme for Onchocerciasis Control (APOC) undertook large scale mapping of loiasis in 11 potentially endemic countries using a rapid assessment procedure for loiasis (RAPLOA) that uses a simple questionnaire on the history of eye worm. Methodology/Principal Findings RAPLOA surveys were done in a spatial sample of 4798 villages covering an area of 2500×3000 km centred on the heartland of loiasis in Africa. The surveys showed high risk levels of loiasis in 10 countries where an estimated 14.4 million people live in high risk areas. There was a strong spatial correlation among RAPLOA data, and kriging was used to produce spatially smoothed contour maps of the interpolated prevalence of eye worm and the predictive probability that the prevalence exceeds 40%. Conclusion/Significance The contour map of eye worm prevalence provides the first global map of loiasis based on actual survey data. It shows a clear distribution with two zones of hyper endemicity, large areas that are free of loiasis and several borderline or intermediate zones. The surveys detected several previously unknown hyperendemic foci, clarified the distribution of loiasis in the Central African Republic and large parts of the Republic of Congo and the Democratic Republic of Congo for which hardly any information was available, and confirmed known loiasis foci. The new maps of the prevalence of eye worm and the probability that the prevalence exceeds the risk threshold of 40% provide critical information for ivermectin treatment programs among millions of people in Africa.
Informing the Design of Hemodynamic Monitoring Displays

In the ICU, an extensive array of variables from the hemodynamic monitoring display is routinely analyzed. However, the development of new display technologies is proceeding without adequate study of the monitoring tasks and behaviors of a primary user group—critical-care nurses. Semistructured interviews focusing on the cognitive aspects of the hemodynamic monitoring task were conducted with 14 critical-care nurses. A systematic content analysis of qualitative data identified cognitive tasks that had applicability to the design of monitoring displays. The cognitive tasks of hemodynamic monitoring were (1) selective data acquisition, (2) applying meaning to the variables and understanding relationships between parameters, (3) controlling hemodynamics by titrating medications and intravenous fluids, and (4) monitoring complex trends of multiple interacting variables and patient response to interventions. Recommendations include designing the monitoring display to match the mental constructs and cognitive tasks of the user by applying conceptual meaning to the variables, highlighting relationships between variables, and presenting a “big picture” view of the patient’s condition. Monitoring displays must also present integrated trends that illustrate the dynamic relationship between interventions and patient response.