Miracle-dz/UniFAR-FTUs huggingface dataset:
3C 220.3: A RADIO GALAXY LENSING A SUBMILLIMETER GALAXY

Herschel Space Observatory photometry and extensive multiwavelength follow-up have revealed that the powerful radio galaxy (PRG) 3C 220.3 at z = 0.685 acts as a gravitational lens for a background submillimeter galaxy (SMG) at z = 2.221. At an observed wavelength of 1 mm, the SMG is lensed into three distinct images. In the observed near infrared, these images are connected by an arc of ∼1″. 8 radius forming an Einstein half-ring centered near the radio galaxy. In visible light, only the arc is apparent. 3C 220.3 is the only known instance of strong galaxy-scale lensing by a PRG not located in a galaxy cluster and therefore it offers the potential to probe the dark matter content of the radio galaxy host. Lens modeling rejects a single lens, but two lenses centered on the radio galaxy host A and a companion B, separated by 1″. 5, provide a fit consistent with all data and reveal faint candidates for the predicted fourth and fifth images. The model does not require an extended common dark matter halo, consistent with the absence of extended bright X-ray emission on our Chandra image. The projected dark matter fractions within the Einstein radii of A (1″.02) and B (0″.61) are about 0.4 ± 0.3 and 0.55 ± 0.3. The mass to i-band light ratios of A and B, , appear comparable to those of radio-quiet lensing galaxies at the same redshift in the CfA-Arizona Space Telescope LEns Survey, Lenses Structure and Dynamics, and Strong Lenses in the Legacy Survey samples. The lensed SMG is extremely bright with observed f(250 μm) = 440 mJy owing to a magnification factor μ ∼ 10. The SMG spectrum shows luminous, narrow C iv λ1549 Å emission, revealing that the SMG houses a hidden quasar in addition to a violent starburst. Multicolor image reconstruction of the SMG indicates a bipolar morphology of the emitted ultraviolet (UV) light suggestive of cones through which UV light escapes a dust-enshrouded nucleus.
Results H 1 and H 2 : Age Differences in Emotion Perception Accuracy and Effect of Motivation Condition

Traditional emotion perception tasks show that older adults are less accurate than young adults at recognizing facial expressions of emotion. Recently, we proposed that socioemotional factors might explain why older adults seem impaired in lab tasks but less so in everyday life (Isaacowitz & Stanley, 2011). Thus, in the present research we empirically tested whether socioemotional factors such as motivation and familiarity can alter this pattern of age effects. In one task, accountability instructions eliminated age differences in the traditional emotion perception task. Using a novel emotion perception paradigm featuring spontaneous dynamic facial expressions of a familiar romantic partner versus a same-age stranger, we found that age differences in emotion perception accuracy were attenuated in the familiar partner condition, relative to the stranger condition. Taken together, the results suggest that both overall accuracy as well as specific patterns of age effects differ appreciably between traditional emotion perception tasks and emotion perception within a socioemotional context.
Beta-caryophyllene protects against alcoholic steatohepatitis by attenuating inflammation and metabolic dysregulation in mice Running Title : Beta-caryophyllene is hepatoprotective

Affiliations: 1 Laboratory of Cardiovascular Physiology and Tissue Injury, National Institutes of Health/NIAAA, Bethesda, MD 20852, USA. 2 Laboratory of Physiologic Studies, National Institutes of Health/NIAAA, Bethesda, MD 20852, USA. 3 Institute of Biochemistry and Molecular Medicine, National Center of Competence in Research TransCure, University of Bern, CH-3012 Bern, Switzerland. 4 Departments of Surgery, Rutgers New Jersey Medical School, Newark, NJ 07103, USA. 5 Laboratory of Liver Diseases, National Institutes of Health/NIAAA, Bethesda, MD 20852, USA.
Non-Hospitalized 1 Ulcerative Colitis : The Toronto Consensus 2 3

Brian Bressler, John K. Marshall, Charles N. Bernstein, Alain Bitton, Jennifer Jones, Grigorios I. Leontiadis, Remo Panaccione, A. Hillary Steinhart, Francis Tse, Brian Feagan, on behalf of the Toronto Ulcerative Colitis Consensus Group, Waqqas Afif, Edmond-Jean Bernard, Mark Borgaonkar, Shane Devlin, Richard Fedorak, Geoffrey C. Nguyen, Robert Penner, Laurent Peyrin-Biroulet, Walter Reinisch, Cynthia H. Seow, Richmond Sy, Laura Targownik, Peter Thomson, Gert Van Assche, Chadwick Williams
IGF 1 R signaling acts on the anagen to catagen transition in the hair cycle Short title : IGF 1 R in bulge cells

Insulin like growth factor 1 (IGF1) is important for skin development and homeostasis. However, overexpression and inactivation studies have produced variable findings regarding its role in hair follicle (HF) biology. Here, we studied a conditional and inducible knockout of the IGF1 receptor (IGF1R) in keratin 15-expressing bulge cells. Deletion of IGF1R after the development of the skin appendages in K15-IGF1R mice showed no abnormalities in epidermal homeostasis. Numbers of bulge cells were lower in K15-IGF1R mice than in controls, without consequences on wound healing, at least in young mice. K15-IGF1R HFs entered anagen phase earlier than controls and showed a delay in the anagen/catagen switch. The expression of BMP-4 mRNA was inhibited in HFs from K15-IGF1R. MED1 A cc ep te d A rt ic le This article is protected by copyright. All rights reserved. transcription was impaired in the epidermis of K15-IGF1R mice. These findings suggest that IGF1R controls the hair cycle, partly through BMP-4 activation.
Non-Linear SAR Data Processing By Time-Domain Back-Projection

Focusing of conventional stripmap SAR data assumes a straight recording track of the sensor platform. Small deviations from that linear trajectory are corrected by motion compensation steps while keeping the assumption of a linear acquisition path. In the following, the processing of SAR data from non-linear tracks is discussed as may originate from small aircraft or drones flying at low altitude. They fly not a straight track but one dependent on topography, influences of weather and wind, or dependent on the shape of dedicated areas of interest such as rivers or traffic routes. Experimental data featuring a drop in height, a double bend and a 90-degree curve have been processed using a time-domain back-projection approach. The data was acquired by the German Aerospace Center’s E-SAR L-band system.
Importance of the Concept of Metabolic Syndrome in Psychiatry : Contribution of the Disease to Risk of Metabolic Syndrome

The concept of metabolic syndrome in psychiatry provides a united front for confronting a series of metabolic changes that are predictive of cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM), which are highly prevalent in severe mental disorders (SMDs), such as schizophrenia, bipolar disorders, and severe depression. This review attempts to answer the following questions: (1) Is there evidence of significantly increased risk of metabolic syndrome in SMDs? (2) How is this evidence explained by stress theory and functional polymorphism? (3) What role can psychopharmacology and psychosocial therapies play in minimizing the problem? We have done a historical review using related literature from Medline. Compared with the general population, metabolic syndrome is two to three times more common in SMDs. The evidence for this predates the era of antipsychotic drugs. Altered glucose metabolism and dyslipidemia seem to be integral to SMDs. However, major psychotropic drugs are associated with metabolic syndrome, because of their activity at the appetitestimulating receptors. SMDs seem to trigger a pathogenic cycle that fuels metabolic syndrome. To explain these findings, a neural diathesis–stress model has been proposed. Furthermore, candidate genes associated with receptors for weight gain are implicated. Using metformin ( 750 mg/day) may significantly reduce metabolic risks, and the data support consideration of this intervention for psychiatric patients taking antipsychotics. The obstacles to the implementation of the available guidelines for monitoring metabolic effects and changing unhelpful lifestyles need to be overcome by making monitoring mandatory and integration of physical exercise into routine care. Drug development and genotyping for the risk factors are future solutions.
Rapid and Brief Communication GACV : Geodesic-Aided C – Vmethod

A novel algorithm for image segmentation is proposed. The proposed method incorporates geodesic curves and C–V method to raise active contours’ performance on image segmentation. Moreover, we extend our method to color images. By practical experiments, it is verified that our model obtains better results than original methods, especially with respect to images within holes, complex background, weak edges, and noise. 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Longevity and fertility trait definitions compared in theory and simulation

Longevity and fertility traits often are based on binomial observations that are repeated only if the cow is not yet pregnant or culled. Time until pregnant or time until culled are not normally distributed, but theory indicates that linear models can extract all information from such data. With binomial models, cows with more observations are assumed to provide more information about the success rate parameter. Although reported reliabilities differ slightly for binomial models as compared with productive life models, estimated breeding values were correlated by 0.991and had identical true accuracies as obtained from simulated data. For traits with low heritability, information from progeny-tested maternal brothers can lead to larger benefits from animal models as compared to sire models.
Mascia Adverse Effects of Anti-EGFR Therapy Genetic Ablation of Epidermal EGFR Reveals the Dynamic Origin of

help guide further investigation in this area. the search for ways to prevent this disruptive side effect. The current studies provide mechanistic insights that should Additional work will be necessary to further expand our understanding of EGFR inhibitor toxicity and to continue skin macrophages may contribute to the adverse effects of EGFR inhibitors. studies suggest that EGFR signaling is important for normal skin barrier function and antimicrobial defense and that and immune cell types to determine which ones are necessary for the rash phenotype. The findings of these two investigated the effects of crossing mice that lack EGFR in the skin with mice deficient in different immune pathways patients and study animals and examined the effects of EGFR inhibition on skin defenses and bacteria. They also patients treated with EGFR inhibitors. They characterized the changes in chemokine expression in the skin of treated Both sets of authors used mouse models that lack EGFR only in the skin to replicate the pattern of injury seen in this phenomenon. to mechanism of rash formation induced by EGFR inhibitors and uncover some of the skin components that contribute . help clarify the et al . and Lichtenberger et al prematurely stop their treatments. Now, two papers by Mascia inhibitors are particularly known for causing a severe rash and skin damage, which sometimes forces patients to correlates with its side effects, as is the case for inhibitors of the epidermal growth factor receptor (EGFR). EGFR body. This can be difficult to achieve for cancer drugs, however, especially when the effectiveness of a drug directly The goal of all medical interventions is to treat disease while minimizing the damage to healthy tissues in the Skin-Deep Search for the Effects of EGFR Inhibitors
Advanced Supporting Materials for Polymer Electrolyte Membrane Fuel Cells

Among the various kinds of fuel cell, polymer electrolyte membrane fuel cell (PEMFC) is the most prominent energy conversion device for portable applications. The catalyst-supporting materials provi.de active triple phase boundary for electrochemical reactions where the reactant molecules can easily interact with the catalyst surface. Catalysts play a vital role for improving the overall efficiency of the fuel cells through the advancement in the catalyst and their supporting materials for cathodic oxygen reduction reaction (ORR) in PEMFCs. The supporting materials mainly contribute to increase the electro- catalytic activity of the catalysts by providing more active surface area and extended life-time. The major roles of supporting materials are (i) they act as electron source with improved conductivity; (ii) they hold the metal nanoparticles; (iii) they possess higher surface area and (iv) they should have better stability under operating conditions. In this chapter, the various supporting materials were reviewed carefully based on their nature and performance toward the electrochemical reduction of oxygen for PEMFCs. They are classified into three major categories as (i) carbon supports; (ii) carbon-free supports, and (iii) polymer nanocomposites. In summary, the overall view on support materials and their role on electrocatalysis for fuel cell reactions is provided.
Endogenous sex hormones and diabetes Association of endogenous sex hormones with diabetes and impaired fasting glucose in men : the Multi-Ethnic Study of Atherosclerosis

This is an uncopyedited electronic version of an article accepted for publication in Diabetes Care. The American Diabetes Association, publisher of Diabetes Care, is not responsible for any errors or omissions in this version of the manuscript or any version derived from it by third parties. The definitive publisherauthenticated version will be available in a future issue of Diabetes Care in print and online at http://care.diabetesjournals. org Diabetes Care Publish Ahead of Print, published online March 16, 2009
Nomenclature SRGM Software reliability growth model LSE Least square estimation MLE Maximum likelihood estimation NHPP Non-homogeneous Poison process

Context: In this study, a software optimal release time with cost-reliability criteria has been discussed in an imperfect debugging environment. Objective: The motive of this study is to model uncertainty involved in estimated parameters of the software reliability growth model (SRGM). Method: Initially the reliability parameters of SRGM are estimated using least square estimation (LSE). Considering the uncertainty involved in the estimated parameters due to human behavior being subjective in nature and the dynamism of the testing environment, the concept of fuzzy set theory is applicable in developing SRGM. Finally, using arithmetic operations on fuzzy numbers, the reliability and total software cost are calculated. Results: Various reliability measures have been computed at different levels of uncertainties, and a comparison has been made with the existing results reported in the literature. Conclusion: It is evident from the results that a better prediction of reliability measures, namely, software reliability and total software cost can be made under the fuzzy paradigm. 2013 Elsevier B.V. All rights reserved.
TITLE: FGF2 from marrow microenvironment promotes resistance to FLT3 inhibitors in acute myeloid leukemia Short title: FGF2 PROMOTES RESISTANCE IN FLT3 AML

Elie Traer, Jacqueline Martinez, Nathalie Javidi-Sharifi, Anupriya Agarwal, Jennifer Dunlap, Isabel English, Tibor Kovacsovics, Jeffrey W. Tyner, Melissa Wong, and Brian J. Druker Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239 Division of Hematology & Medical Oncology, Oregon Health & Science University, Portland, OR 97239 Department of Anatomic Pathology, Oregon Health & Science University, Portland, OR 97239 BMT, Blood and Marrow Transplant, Huntsman Cancer Institute, Salt Lake City, Utah 84112 Department of Cell, Developmental, & Cancer Biology, Oregon Health & Science University, Portland, OR 97239 Howard Hughes Medical Institute *corresponding author
Pengguna Menggunakan Naïve Bayes dan Gamifikasi

Abstrak—Requirements engineering is a series of activities which aims to elicit, analyze, evaluate, and document the requirements of a system that is being developed. The activities do not stop after the product is deployed but continues as the users use the product and provide feedbacks to the system and matter how decent the functionalities of a product are, if it cannot address the correct problem and/or opportunities of the stakeholders or users, the product cannot be considered useful. That being said, not all stakeholders are willing to participate in providing useful feedbacks to improve the product after deployment, for many reasons. Gamification is considered as an opportunity that can be utilized to improve the motivation of user to use a product by implementing game design elements into an existing software product, thus increasing user participation to contribute in providing useful feedbacks and evolving requirements of a software product. This research proposes a model to support engineers in motivating users to provide feedbacks using gamification and also Naïve Bayes Classifier to classify user feedbacks into categories needed by the developer to extract the requirements stated in the feedback, such as bug reports, feature request, user experiences, etc.
New Zealand Organisational readiness and Lean Thinking implementation : Findings from three emergency

This paper describes and contrasts the implementation of Lean Thinking – a quality methodology that emphasises waste reduction and performing at higher levels of productivity with the same or less resources – into New Zealand’s healthcare system. As the field is relatively new, three literature-based exemplar cases were developed to provide an analysis framework to analyse the three New Zealand research sites, which had activities, teamwork, leadership and sustainability as its core themes. Each research site’s case was developed from primary data gathered through interviews, augmented by secondary data from project reports, District Health Board websites and media stories. The results highlight the benefits of a supportive quality-focussed organisational culture, executive management involvement and cross-functional teams as enablers. Further, work intensification and workplace resistance were also evident in varying levels within the sites. The study, while reiterating the problems of introducing quality methods from other domains into healthcare, presents the New Zealand context and reinforces that organisational preparedness as a significant factor which contributes to implementation success. This study goes beyond investigations of the use of Lean tools, changing improvement metrics and descriptive statistics to identify the contexts and variables which surround quality and process improvement implementations.
Hepatocellular carcinoma : Eastern and Western experiences Interventional oncology : new options for interstitial treatments and intravascular approaches Superselective TACE using iodized oil for HCC : rationale , technique and outcome

Superselective TACE is defined as TACE from the distal portion of the feeding subsegmental hepatic artery to evoke strong ischemic effects on a small area of the liver, thus avoiding damage to liver function. Lipiodol (iodized oil) is semi-fluid, and it can flow into the surrounding portal venules and hepatic sinusoids through peribiliary plexus (PBP) and the drainage route from the hypervascular HCC. Therefore, the reversed flow from the hepatic sinusoids and portal venules to the peripheral portion of the tumor and daughter nodules can be blocked by Lipiodol injected before a particulate embolus (such as gelatin sponge particles). Common complications of superselective TACE are mild local pain and fever and temporary minimal changes of liver function. Reported CR ratio of definitely hypervascular HCC are around 30–60% by superselective TACE with Lipiodol for hypervascular HCC less than 5 cm. According to a nationwide survey by the Liver Cancer Study Group of Japan (LCSGJ), overall 5year survival rate was 26% in patients with HCCs not indicated for surgery or RFA (PEI), mainly treated by segmental or subsegmental TACE using Lipiodol. Therefore, this TACE technique should be widely introduced as the first line technique for TACE therapy of HCC.
MODELING OF THE PROSPECTS FOR SUSTAINABLE DEVELOPMENT OF AGRICULTURAL TERRITORIES BY THE BAYESIAN NETWORKS

The article gives information on the problem of sustainable development of the agricultural territories, as to provide the effective path to follow through in the future. The aim of the research is to provide a scientific basis for the need of using the modeling with the help of neural network technologies and to build a Bayesian belief network to make a decision on the sustainable development of the village council of Gladkovich and Hoteshiv in the future. It is carried out the estimation of factors and conditions influencing the sustainable development of the studied area. The results of the implementation of the Bayesian network with the help of Netica software for deciding on the sustainable development of village councils in the future based on the questionnaire data during the period of decentralization and association of territorial communities are outlined.
Description Key Points Input Layer Hidden Layer 1 Hidden Layer

With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade. This has also prompted increasing interests in the generation of analytical, data driven models based on machine learning in health informatics. Deep learning, a technique with its foundation in artificial neural networks, is emerging in recent years as a powerful tool for machine learning, promising to reshape the future of artificial intelligence. Rapid improvements in computational power, fast data storage and parallelization have also contributed to the rapid uptake of the technology in addition to its predictive power and ability to generate automatically optimized high-level features and semantic interpretation from the input data. This article presents a comprehensive up-to-date review of research employing deep learning in health informatics, providing a critical analysis of the relative merit and potential pitfalls of the technique as well as its future outlook. The paper mainly focuses on key applications of deep learning in the fields of translational bioinformatics, medical imaging, pervasive sensing, medical informatics and public health.
Reproductive dynamics of Gulf menhaden (Brevoortia patronus) in the northern Gulf of Mexico: effects on stock assessments: Suppl. Fig. 2 and Suppl. Table

1 Division of Coastal Sciences School of Ocean Science and Technology The University of Southern Mississippi 703 East Beach Drive Ocean Springs, Mississippi 39564 Present address for contact author: Center for Fisheries Research and Development Gulf Coast Research Laboratory The University of Southern Mississippi 703 East Beach Drive Ocean Springs, Mississippi 39564 2 Beaufort Laboratory Southeast Fisheries Science Center National Marine Fisheries Service, NOAA 101 Pivers Island Road Beaufort, North Carolina 28516