Miracle-dz/UniFAR-FTUs huggingface dataset:
Lifestyle and Ice: The Relationship between Ecological Specialization and Response to Pleistocene Climate Change

Major climatic changes in the Pleistocene had significant effects on marine organisms and the environments in which they lived. The presence of divergent patterns of demographic history even among phylogenetically closely-related species sharing climatic changes raises questions as to the respective influence of species-specific traits on population structure. In this work we tested whether the lifestyle of Antarctic notothenioid benthic and pelagic fish species from the Southern Ocean influenced the concerted population response to Pleistocene climatic fluctuations. This was done by a comparative analysis of sequence variation at the cyt b and S7 loci in nine newly sequenced and four re-analysed species. We found that all species underwent more or less intensive changes in population size but we also found consistent differences between demographic histories of pelagic and benthic species. Contemporary pelagic populations are significantly more genetically diverse and bear traces of older demographic expansions than less diverse benthic species that show evidence of more recent population expansions. Our findings suggest that the lifestyles of different species have strong influences on their responses to the same environmental events. Our data, in conjunction with previous studies showing a constant diversification tempo of these species during the Pleistocene, support the hypothesis that Pleistocene glaciations had a smaller effect on pelagic species than on benthic species whose survival may have relied upon ephemeral refugia in shallow shelf waters. These findings suggest that the interaction between lifestyle and environmental changes should be considered in genetic analyses.
How accurate are adolescents in portion-size estimation using the computer tool Young Adolescents' Nutrition Assessment on Computer (YANA-C)?

Computer-administered questionnaires have received increased attention for large-scale population research on nutrition. In Belgium-Flanders, Young Adolescents' Nutrition Assessment on Computer (YANA-C) has been developed. In this tool, standardised photographs are available to assist in portion-size estimation. The purpose of the present study is to assess how accurate adolescents are in estimating portion sizes of food using YANA-C. A convenience sample, aged 11–17 years, estimated the amounts of ten commonly consumed foods (breakfast cereals, French fries, pasta, rice, apple sauce, carrots and peas, crisps, creamy velouté, red cabbage, and peas). Two procedures were followed: (1) short-term recall: adolescents (n 73) self-served their usual portions of the ten foods and estimated the amounts later the same day; (2) real-time perception: adolescents (n 128) estimated two sets (different portions) of pre-weighed portions displayed near the computer. Self-served portions were, on average, 8 % underestimated; significant underestimates were found for breakfast cereals, French fries, peas, and carrots and peas. Spearman's correlations between the self-served and estimated weights varied between 0·51 and 0·84, with an average of 0·72. The κ statistics were moderate (>0·4) for all but one item. Pre-weighed portions were, on average, 15 % underestimated, with significant underestimates for fourteen of the twenty portions. Photographs of food items can serve as a good aid in ranking subjects; however, to assess the actual intake at a group level, underestimation must be considered.
Cutting Edge: Targeting Epithelial ORMDL3 Increases, Rather than Reduces, Airway Responsiveness and Is Associated with Increased Sphingosine-1-Phosphate

In this study, we used cre-lox techniques to generate mice selectively deficient in ORMDL3 in airway epithelium (Ormdl3Δ2-3/Δ2-3/CC10) to simulate an inhaled therapy that effectively inhibited ORMDL3 expression in the airway. In contrast to the anticipated reduction in airway hyperresponsiveness (AHR), OVA allergen–challenged Ormdl3Δ2-3/Δ2-3/CC10 mice had a significant increase in AHR compared with wild-type mice. Levels of airway inflammation, mucus, fibrosis, and airway smooth muscle were no different in Ormdl3Δ2-3/Δ2-3/CC10 and wild-type mice. However, levels of sphingosine-1-phosphate (S1P) were significantly increased in Ormdl3Δ2-3/Δ2-3/CC10 mice as well as in airway epithelial cells in which ORMDL3 was inhibited with small interfering RNA. Incubation of S1P with airway smooth muscle cells significantly increased contractility. Overall, Ormdl3Δ2-3/Δ2-3/CC10 mice exhibit increased allergen-induced AHR independent of inflammation and associated with increased S1P generation. These studies raise concerns for inhaled therapies that selectively and effectively inhibit ORMDL3 in airway epithelium in asthma.
Comparison of Architectural Design Decisions for Resource-Constrained Self-Driving Cars - A Multiple Case-Study

Context: Self-Driving cars are getting more and more attention with public demonstration from all important automotive OEMs but also from companies, which do not have a long history in the automotive industry. Fostered by large international competitions in the last decade, several automotive OEMs have already announced to bring this technology to the market around 2020. Objective: International competitions like the 2007 DARPA Urban Challenge did not focus on efficient usage of resources to realize the self-driving vehicular functionality. Since the automotive industry is very cost-sensitive, realizing reliable and robust self- driving functionality is challenging when expensive and sophisticated sensors mounted very visibly on the vehicle’s roof for example cannot be used. Therefore, the goal for this study is to investigate how architectural design decisions of recent self-driving vehicular technology consider resource-efficiency. Method: In a multiple case study, the architectural design decisions derived for resource- constrained self-driving miniature cars for the international competition CaroloCup are compared with architectural designs from recent real-scale self-driving cars. Results: Scaling down available resources for realizing self-driving vehicular technol- ogy puts additional constraints on the architectural design; especially reusability of software components in platform-independent algorithmic concepts are prevailing. Conclusion: Software frameworks like the robotic operating system (ROS) enable fast prototypical solutions; however, architectural support for resource-constrained devices is limited. Here, architectural design drivers as realized in AUTOSAR are more suitable.
Health Consequences of Typhoon Haiyan in the Eastern Visayas Region Using a Syndromic Surveillance Database

Introduction: Typhoon Haiyan was the strongest storm recorded in Philippine history. Surveillance in Post Extreme Emergencies and Disasters (SPEED) was activated during the typhoon response. This study analyzes the health impact of different diseases during different timeframes post-disaster during Typhoon Haiyan in 2013 using a syndromic surveillance database. Methods: SPEED reports medical consultations based on 21 syndromes covering a range of conditions from three syndrome groups: communicable diseases, injuries, and non-communicable diseases (NCDs). We analyzed consultation rates for 150 days post-disaster by syndrome, syndrome group, time period, and health facility type for adults as well as for children under the age of five. Results: Communicable diseases had the highest consultation rates followed by similar rates for both injuries and NCDs. While communicable diseases were the predominant syndrome group for children, wounds and hypertension were common syndromes observed in adults. Village health centers had the most consultations amongst health facilities, but also showed the highest variability. Discussion: Children were more vulnerable to communicable diseases compared to adults. Community health centers showing consistently high consultation rates point out a need for their prioritization. The predominance of primary care conditions requires disaster managers to focus on basic health care and public health measures in community health centers that target the young, elderly and impoverished appropriate to the time period.
CONTENT-BASED TEXTURE IMAGE RETRIEVAL USING THE LEMPEL-ZIV-WELCH ALGORITHM

This paper presents a method for content-based texture image retrieval using the Lempel-Ziv-Welch (LZW) compression algorithm. Each texture image in the database is processed by a global histogram equalization filter, and then an LZW dictionary is constructed for the filtered texture and stored in the database. The LZW dictionaries thus constructed comprise a statistical model to the texture. In the query stage, each texture sample to be searched is processed by the histogram equalization filter and successively encoded by the LZW algorithm in static mode, using the stored dictionaries. The system retrieves a ranked list of images, sorted according to the coding rate achieved with each stored dictionary. Empirical results with textures from the Brodatz album show that the method achieves retrieval accuracy close to 100%.
3D physiological model of the aortic valve incorporating small coronary arteries

The diseases of the coronary arteries and the aortic root are still the leading causes of mortality and morbidity worldwide. In this study, a 3D global fluid‐structure interaction of the aortic root with inclusion of anatomically inspired small coronary arteries using the finite element method is presented. This innovative model allows to study the impact and interaction of root biomechanics on coronary hemodynamics and brings a new understanding to small coronary vessels hemodynamics. For the first time, the velocity profiles and shear stresses are reported in distal coronary arteries as a result of the aortic flow conditions in a global fluid‐structure interaction model.
SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning

We propose an efficient dual augmented La-grangian formulation to learn conditional random fields (CRF). Our algorithm, which can be interpreted as an inexact gradient descent algorithm on the multiplier, does not require to perform global inference iteratively, and requires only a fixed number of stochastic clique-wise updates at each epoch to obtain a sufficiently good estimate of the gradient w.r. t. the Lagrange multipliers. We prove that the proposed algorithm enjoys global linear convergence for both the primal and the dual objectives. Our experiments show that the proposed algorithm outperforms state-of-the-art baselines in terms of speed of convergence.
On the convergence time of the drift-plus-penalty algorithm for strongly convex programs

This paper studies the convergence time of the drift-plus-penalty algorithm for strongly convex programs. The drift-plus-penalty algorithm was originally developed to solve more general stochastic optimization and is closely related to the dual subgradient algorithm when applied to deterministic convex programs. For general convex programs, the convergence time of the drift-plus-penalty algorithm is known to be O(1/ϵ1/2). This paper shows that the convergence time for general strongly convex programs is O(1/ϵ). This paper also proposes a new variation of the drift-plus-penalty algorithm, the drift-plus-penalty algorithm with shifted running averages, and shows that if the dual function of the strongly convex program is smooth and locally quadratic then the convergence time of the new algorithm is O(1/ϵ2/3). The convergence time analysis is further verified by numerical experiments.
Uncertainty and Hyperbolic Discounting

We propose an evolutionary explanation for the pattern of intertemporal preference reversals often ascribed to "hyperbolic discounting. " We take the view that preferences—manifested, for example, in urges, cravings, and inclinations— are the outcome of evolutionary forces, and so will induce animals or humans to make survival-maximizing choices in "typical" decision problems. We show that if the typical problem involves payoffs whose realization times are uncertain, then optimal preferences give rise to relatively patient behavior when the time horizon is long but induce a switch to impatience when the horizon grows short. Such reversals do not entail dynamic inconsistency in typical decision problems; behavior there is optimal. However, if a decision-maker is confronted with a choice for which the realization-time uncertainty falls outside the evolutionary norm, her preferences may well prompt her to behave inconsistently. We argue that, if such a choice problem recurs, her evolutionarily endowed aability to learn will lead her to make self-commitments against these urges.
Maternal immune activation leads to increased nNOS immunoreactivity in the brain of postnatal day 2 rat offspring

Neuronal nitric oxide synthase (nNOS) is a key arginine metabolising enzyme in the brain, and nNOS‐derived nitric oxide (NO) plays an important role in regulating glutamatergic neurotransmission. NO and its related molecules are involved in the pathogenesis of schizophrenia, and human genetic studies have identified schizophrenia risk genes encoding nNOS. This study systematically investigated how maternal immune activation (MIA; a risk factor for schizophrenia) induced by polyinosinic:polycytidylic acid affected nNOS‐immunoreactivity in the brain of the resulting male and female offspring at the age of postnatal day (PND) 2. Immunohistochemistry revealed a markedly increased intensity of nNOS‐positive cells in the CA3 and dentate gyrus subregions of the hippocampus, the somatosensory cortex, and the striatum, but not the frontal cortex and hippocampal CA1 region, in the MIA offspring when compared to control group animals. There were no sex differences in the effect. Given the role of nNOS in glutamatergic neurotransmission and its functional relationship with glutamate NMDA receptors, increased nNOS immunoreactivity may indicate the up‐regulation of NMDA receptor function in MIA rat offspring at an early postnatal age. Future research is required to determine whether these changes contribute to the neuronal and behavioral dysfunction observed in both juvenile and adult MIA rat offspring.
Molecular Pathways: Revisiting Glycogen Synthase Kinase-3β as a Target for the Treatment of Cancer

Glycogen synthase kinase-3β (GSK-3β), a serine/threonine protein kinase, is a complex regulator of numerous cellular functions. GSK-3β is a unique kinase which is constitutively active in resting and nonstimulated cells. GSK-3β has been implicated in a wide range of diseases including neurodegeneration, inflammation and fibrosis, noninsulin-dependent diabetes mellitus, and cancer. It is a regulator of NF-κB–mediated survival of cancer cells, which provided a rationale for the development of GSK-3 inhibitors targeting malignant tumors. Recent studies, many of them reported over the past decade, have identified GSK-3β as a potential therapeutic target in more than 15 different types of cancer. Whereas only active GSK-3β is expressed in cancer cell nucleus, aberrant nuclear accumulation of GSK-3β has been identified as a hallmark of cancer cells in malignant tumors of different origin. This review focuses on the preclinical and clinical development of GSK-3 inhibitors and the potential therapeutic impact of targeting GSK-3β in human cancer. Clin Cancer Res; 23(8); 1891–7. ©2017 AACR.
Structure of the hypusinylated eukaryotic translation factor eIF-5A bound to the ribosome

During protein synthesis, ribosomes become stalled on polyproline-containing sequences, unless they are rescued in archaea and eukaryotes by the initiation factor 5A (a/eIF-5A) and in bacteria by the homologous protein EF-P. While a structure of EF-P bound to the 70S ribosome exists, structural insight into eIF-5A on the 80S ribosome has been lacking. Here we present a cryo-electron microscopy reconstruction of eIF-5A bound to the yeast 80S ribosome at 3.9 Å resolution. The structure reveals that the unique and functionally essential post-translational hypusine modification reaches toward the peptidyltransferase center of the ribosome, where the hypusine moiety contacts A76 of the CCA-end of the P-site tRNA. These findings would support a model whereby eIF-5A stimulates peptide bond formation on polyproline-stalled ribosomes by stabilizing and orienting the CCA-end of the P-tRNA, rather than by directly contributing to the catalysis.
Haemodynamic changes after induction of anaesthesia with sevoflurane vs. propofol

Inhalation induction with sevoflurane would appear to offer several objective advantages compared to induction with propofol. In our study, the hemodynamic results of sevoflurane vs. propofol induction in patients undergoing thoracotomy were studied. In a prospective, randomized, blinded study 24 patients were randomly allocated to one of 2 groups: sevoflurane (S) and propofol (P) (n=12 each). For hemodynamic monitoring the LIDCO plus system was used. Patients in group S were induced into anaesthesia with sevofluran, remifentanil and vecuronium, whereas patients in group P with propofol, remifentanil and vecuronium. The anaesthesia was maintained with the same agents. Hemodynamic stability was guided using a special algorithm. The goal was oxygen delivery index (DO2I) > 500 mL min-1 m-2. According to the algorithm, patients received colloids or vasoactive drugs. Hemodynamic parameters were recorded before induction, 3 minutes after induction and 3 minutes after intubation and commencement of one lung ventilation. The consumption of vasoactive drugs and colloids and the time from the beginning of induction to intubation were documented. No statistically significant differences in measured hemodynamic parameters, remifentanil and colloid consumption between the S and P group were found. In group P, statistically more ephedrine was used (S: 4.2, P:20.8, p<0.05). Patients undergoing thoracotomy induced with sevoflurane are circulatory more stable than those induced with propofol. IZTOK POTO NIK ( ) • VESNA NOVAK JANKOVI •
GenoType MTBDRplus assay for screening and characterization of isoniazid and rifampicin resistance‐associated mutations in multidrug‐resistant Mycobacterium tuberculosis from India

Multidrug resistant tuberculosis (MDR‐TB) is rising and the World Health Organization has recommended the line probe assay (LPA) for screening. In this study we assess LPA at a tertiary care centre from North India in 1758 samples from suspected MDR‐TB cases. All smear‐positive and/or Mycobacterium tuberculosis culture confirmed cases (n = 1170) were subjected to the GenoType‐MTBDR assay. Amongst these the majority were retreatment cases, smear‐positive at diagnosis (n = 637). An MDR prevalence of 7·8% was observed with the highest cases reported amongst MDR contacts (33·3%). The most common rifampicin resistance encoding mutation seen overall and in individual patient groups was H531L (53·3%). A higher prevalence of H526D mutation was observed in retreatment cases, smear‐positive at 4 months of anti‐tubercular therapy vs other patient groups (P = 0·052). The most common mutation encoding isoniazid resistance was S315T1 in the katG (79·9%) and C‐15T in the inhA gene (91·1%). Thirty rifampicin and nine isoniazid resistant isolates had wild type gene deletion but no detectable mutation by LPA. Although LPA is a practical and rapid screening method for most mutations expected to result in MDR‐TB, we observed that it only detects the known major mutations in specific genes. Such studies can provide the knowledge required to formulate customized strips based on prevalent mutations in our region and in specific patient groups.
DISTANCE MAPS: A ROBUST ILLUMINATION PREPROCESSING FOR ACTIVE APPEARANCE MODELS

Methods of deformable appearance models are useful for realistically modelling shapes and textures of visual objects for reconstruction. A first application can be the fine analysis of face gestures and expressions from videos, as deformable appearance models make it possible to automatically and robustly locate several points of interest in face images. That opens development prospects of technologies in many applications like video coding of faces for videophony, animation of synthetic faces, word visual recognition, expressions and emotions analysis, tracking and recognition of faces. However, these methods are not very robust to variations in the illumination conditions, which are expectable in non constrained conditions. This article describes a robust preprocessing method designed to enhance the performances of deformable models methods in the case of lighting variations. The proposed preprocessing is applied to the Active Appearance Models (AAM). More precisely, the contribution consists in replacing texture images (pixels) by distance maps as input of the deformable appearance models methods. The distance maps are images containing information about the distance between edges in the original object images, which enhance the robustness of the AAMs models against lighting variations.
Breast cancer screening practices amongst female tertiary health worker in Nnewi

Background: Breast cancer in Nigeria and other developing countries is characterized by late presentation and poor outcome due to ignorance, superstition, self-denial, fear of mastectomy, and unavailability of treatment facilities. The mortality of breast cancer in Western world is decreasing due to early detection and better management. Objective: This study aims at accessing the knowledge, attitude, and practice of breast cancer screening among female tertiary health workers. Materials and Methods: A cross-sectional descriptive study carried out using a structured, pretested, self-administered questionnaire to assess the knowledge, attitudes, and practice of breast cancer and screening methods among female health workers. Results: The mean age of respondents was 31.70 ± 7.62 years. The level of awareness of breast cancer screening methods was high: 158 (98.75%), 127 (79.4%), and 144 (90.0%) for breast self-examination (BSE), clinical breast examination (CBE), and mammography, respectively. However, only 47 (35.9%), 36 (22.5%), and 3 (1.9%) correctly practiced BSE, CBE, and mammography, respectively. The level of education and occupation showed significant correlations with the knowledge and practice of breast cancer screening methods. Conclusion: Breast cancer screening still needs to be promoted to improve the attitude and practice among both health workers and general population.