Miracle-dz/UniFAR-FTUs huggingface dataset:
VISUAL ATTENTION PROBABILITY MODEL FOR STEREOSCOPIC VIDEOS ESTIMATED USING STATISTICAL DESIGN OF EXPERIMENTS

Viewers of videos are likely to absorb more information from the part of the screen that attracts visual attention. This fact has lead to the visual attention models that is being used in producing and evaluating videos. In this paper, we investigate the factors that are significant to visual attention and the mathematical form of the visual attention model, and then estimate the visual attention probability using the statistical design of experiments. The analysis of variance (ANOVA) verifies that the motion velocity, distance from the screen, and amount of defocus blur are the factors that strongly affect human visual attention. Using the response surface modeling (RSM), we create a visual attention score model that concerns the three factors, and from which model we calculate the visual attention probabilities (VAPs) of image pixels. The VAPs are directly applied to existing gradient based 3D effect perception measurement. By giving weights according to our VAPs, more accurate measurement is possible. The performance of the proposed measurement is assessed by comparing them with subjective evaluation as well as with existing methods. The comparison verifies that the proposed measurement outperforms the existing ones. keywords: Visual attention probability, stereoscopic video, Statistical design of experiments, 3D effect perception measurement, Defocus blur estimation student number: 2013-20759
The CHARME " Advanced Big Data Training School for Life Sciences " : an example of good practices for training on current bioinformatics challenges

The CHARME “Advanced Big Data Training School for Life Sciences” took place during 3-7 September 2018, at the Campus Nord of the Technical University of Catalonia (UPC) in Barcelona (ES). The school was organised by the Data Management Group (DAMA) of the UPC in collaboration with EMBnet as a follow-up of the first CHARME-EMBnet “Big Data Training School for Life Sciences”, held in Uppsala, Sweden, in September 2017. The learning objectives of the school were defined and agreed during the CHARME “Think Tank Hackathon” that was held in Ljubljana, Slovenia, in February 2018. This article explains in detail the step forward organisation of the training school, the covered contents and the interaction/relationships that thanks to this school have been established between the trainees, the trainers and the organisers.
Elevation of-Amyloid 1-42 Autoantibodies in the Blood of Amnestic Patients With Mild Cognitive Impairment

Interventions: The titer of -amyloid 1-42 autoantibodies in the plasma was obtained at the time of diagnosis and evaluated by enzyme-linked immunosorbent assay before and after dissociation of the antigenantibody complexes. A total of 107 patients with MCI were followed up for 36 months; 70 of the 107 cases progressed to Alzheimer disease. Results: The average level of -amyloid 1-42 plasma autoantibodies in patients with MCI that progressed to Alzheimer disease, but not that of the stable cases, was significantly higher than in cognitively normal controls (P .001).
RELIABILITY OF DETERMINING STONE MARTEN'S (MARTES FOINA) AGE BY TWO DIFFERENT SKULL FEATURES

Based on skulls from Central Bulgaria, the possibilities of aging stone martens were considered and compared. Two different skull morphological criteria methods were compared to more precise method – counting of annuli in dentin. Precise aging of stone martens was only possible by counting of annuli in dentin. It is not recommended using methods by development of sagittal crest and maxillary teeth attrition separately for aging stone martens. A combination of several methods is considered to be reliable.
LearnBot 2 . 0 : A tool for programming teaching and emotion management through robotics

The use of robots as tools to facilitate technological education is rapidly gaining interest. The educational robotics allows students to experience situations that contribute to acquire cognitive strategies for solving, planning and execution real problems. The robot LearnBot was designed in the area of educational robotics for promoting the development of computational thinking in different educational stages. LearnBot is a low cost robotic platform which has to be programmed using the Python language. This work aims at developing an improved version of LearnBot to extend this robotic tool to other usages related to emotional management. To this end, using the new robotic platform, called EBO, students can simulate emotional behaviors. In addition, we have developed a specific programming tool for EBO, called LearnBlock, designed for easy usage of the robot. LearnBlock provides a visual language through which children can program robot behaviors in an intuitive way by specifying what the robot has to do whenever a given situation occurs. The language can be easily extended by creating new blocks associated to Python functions. Moreover, LearnBlock programs can run in either the physical robot and a simulated robot. Both, EBO and LearnBlock, are open developments. In this document, the different aspects of the design, implementation and usage of both educational tools are described in detail. In addition, a review of the existing educational robots closely related to our approach is presented, comparing different features these educational tools.
FOR LANDSLIDE MAPPING IN AN EARTHQUAKE-STRUCK AREA : A PRELIMINARY STUDY *

This paper reports our preliminary effort to develop a method for quickly mapping of landslide distribution in connection to a recent major earthquake event. Our study site covers part of the Wenchuan County, Sichuan Province, China, approximately 32 km away from the epicenter of the Sichuan Earthquake that struck on 12 May 2008, estimated at the magnitude of 7.9 and killed 69227 people. Our primary data are from archival satellite imagery series, including two scenes acquired by the Terra's Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Landsat 5 Thematic Mapper (TM). These scenes help capture the landscape characteristics before and after the Sichuan Earthquake. We conduct georeferencing and radiometric normalization before further processing the satellite scenes. We compute a Normalized Difference Vegetation Index (NDVI) image from each of the two scenes. Then, we compare the NDVI change before and after the Earthquake. Our initial results indicate that most of the large landslides that occurred after the Sichuan Earthquake can be well detected and mapped. We also discuss our further research efforts in order to improve the accuracy of landslide mapping from remotely sensed data.
Paper—Similarity Measure of Graphs Similarity Measure of Graphs

The topic of identifying the similarity of graphs was considered as highly recommended research field in the Web semantic, artificial intelligence, the shape recognition and information research. One of the fundamental problems of graph databases is finding similar graphs to a graph query. Existing approaches dealing with this problem are usually based on the nodes and arcs of the two graphs, regardless of parental semantic links. For instance, a common connection is not identified as being part of the similarity of two graphs in cases like two graphs without common concepts, the measure of similarity based on the union of two graphs, or the one based on the notion of maximum common sub-graph (SCM), or the distance of edition of graphs. This leads to an inadequate situation in the context of information research. To overcome this problem, we suggest a new measure of similarity between graphs, based on the similarity measure of Wu and Palmer. We have shown that this new measure satisfies the properties of a measure of similarities and we applied this new measure on examples. The results show that our measure provides a run time with a gain of time compared to existing approaches. In addition, we compared the relevance of the similarity values obtained, it appears that this new graphs measure is advantageous and offers a contribution to solving the problem mentioned above. Keywords— Graph, ontology, similarity measure, semantic web, user profile. 42 http://www.i-jes.org Paper—Similarity Measure of Graphs
Monsoon variability in different versions of the Met Office climate model

One of the most stringent tests of a general circulation model (GCM) is its ability to simulate a realistic tropical climate. This includes both the mean climate and its many modes and timescales of variability. One of the major components of the tropical circulation is the Asian Summer Monsoon (ASM), on which the economies and livelihood of the populations of India and southeast Asia depend heavily. Simulation of this system and its variability remains a significant challenge for many GCMs. Previous versions of the Hadley Centre climate model have produced a reasonably good simulation of the ASM, although the monsoon strength, in terms of both circulation and precipitation, is rather overestimated, and the onset is slightly early in comparison with observations.
Social influence and eco-label factors towards purchase intention of home products: A PLS approach

Consumers today are more aware of environmental issues. This rise in ecologically conscious consumer behavior sometimes known as green consumers has seen an incease in many studies on the nature of green consumers in different markets. This study examines the attitude-behavior relationship that integrates two factors, namely: social influence and knowledge of eco-labels to examine their influence in the intention to purchase green home electronic products.The green home electronic products for this study are air conditioner, television and refrigerator. Using convenience sampling, 251 self-administered questionnaires were acquired from the consumers. The result indicates that social influence and eco label are significant influencers on green purchase intention of home electronic products. The results of this study will support marketers to have an all-inclusive marketing plan and promotional approaches to attract consumers to participate in buying green product. Implication for marketers is further discussed.
Antibiotic Resistance and �io�lm �roduction in Staphylococcus epidermidis Strains , Isolated from a Tertiary Care Hospital in Mexico City

Staphylococcus epidermidis strains isolated from nosocomial infections represent a serious problem worldwide. In various Mexican states several reports have shown isolates from hospitals with antibiotic resistance to methicillin. In Mexico City, there is scarce information on staphylococcal infections in hospitals. Here, our research �ndings are shown in a four-year period study (2006–2010) for Staphylococcus epidermidis strains. Susceptibility and/or resistance to antibiotics in SE strains were assessed by phenotypic and molecular methods as mecA gene by PCR, as well as the correlation with bio�lm production for these isolates and the relationship to the infection site. Out of a total of 161 (66%) negative bio�lm SE strains, �ust 103 (64%) SE strains were con�rmed as MRSE by PCR to mecA gene. From 84 (34%) positive bio�lm SE strains, 76 (91%) were con�rmed as MRSE by PCR tomecA gene. Higher percentages of resistance to antibiotics and higher number of resistance markers were found in bio�lmforming clinical strains (9 to 14) than non-bio�lm-forming SE strains (3 to 8). ese research �ndings represent a guide to establish infection control programs for this hospital.
Economic evaluation of alternative irrigation systems for sugarcane in the Burdekin delta in north Queensland

The Burdekin delta in Queensland is the most important area for inigated sugarcane production in Australia. Conjunctive use of groundwater and surface water is commonly practiced in this area, and cane yields are amongst the highest in the nation. However, water consumption per hectare is also high, due to low efficiency of the furrow irrigation system. More efficient irrigation practices would reduce pumping costs for growers, with less potential for salinity and leaching of nutrients and pesticides into the aquifer, as well as reducing the risk of seawater intrusion into groundwater aquifers. New irrigation technologies have greater efficiency but involve high investment costs. Also, growers have little incentive to reduce water use because water charges are low. A bioeconomic simulation model of a typical sugarcane farm in the delta has been used to estimate the relative profitability, in terms of net present value over a 20year period, for alternative irrigation technologies.
Impact of Integrated Whole Body 68Ga PET/MR Imaging in Comparison with 68Ga PET/CT in Lesions Detection and Diagnosis of Suspected Neuroendocrine Tumours

Combined PET/MR is a relatively new technique and so far there has been a very limited report of the potential simultaneous PET/MR and PET/CT application in the evaluation of neuroendocrine tumours. The present study aimed to compare "Ga-DOTATATE PET/CT and PET/MR imaging in patients with known neuroendocrine tumours (NET) and assess the confidence in anatomic lesion detection and localization. We analysed the data of 37 NET patients who underwent both 68Ga-DOTATATE PET/CT and PET/MR using the same injected activity. Visual findings by two observers of the two modalities were recorded. SUV max of both primary tumour and liver lesions for both modalities and PET/MR derived apparent diffusion coefficient (ADC) values were measured. To study the value of additional MRI sequences, the differences in performance between PET with T1+T2w, PET with DWI reads, and PET with post contrast was assessed. No significant differences between the two modalities were seen regarding the number of patients affected by primary or metastatic disease. However, counting the number of lesions per patient, both observers were able to recognize more liver lesions in MRI T1 and T2. The interclass correlation coefficient (ICC) demonstrated a strong correlation between SUV max derived from PET/CT and PET/MR in both primary lesions (ICC = 0.92; p = 0.001) and liver (ICC = 0.882; p = 0.001). In the evaluation of lesion per patient, PET+ contrast and DWI detected more metastasis than the evaluation of PET +T1 and T2 alone. There was no significant correlation between ADC values and PET/MR SUV max of the tumour (respectively: p = 0.43, p 0.88 and p = 0.295). PET/MRI has comparable accuracy in localization and staging to PET/CT, and has a potential to become a valid alternative to PET/CT in staging and follow up of NET patients, with advantages in the characterization of liver lesions. In our study DWI and contrast helped to detect more lesions.
CONCRETE AGGREGATE PRODUCTION WITH TBM-MUCK – EXPERIENCES GAINED ON THE ALPTRANSIT TUNNEL PROJECTS

Natural sand and gravel deposits are not inexhaustible. The further processing of suitable tunnel muck for concrete aggregate and other chip products has economic advantages in addition to ecological political ones. An optimal recycling of material extracted from underground excavations calls for suitable working methods, practical and site-oriented suitability tests of the raw material, correctly selected preparation processes and finally ideal mix design of concrete with crushed aggregates. For the AlpTransit project with two new railway lines including about 100 km of tunnels the re-use of excavated rock material will be applied consequently.
CREATING POWERFUL ONLINE COURSES USING MULTIPLE INSTRUCTIONAL STRATEGIES

In 1992 Shade reported that the Internet was expanding at an explosive rate, extending over fifty countries on all seven continents with approximately five to ten million users. By 1995, the number of Internet users was increasing by ten percent per month and was estimated at over thirty million (Negroponte in Forrest et al.,1996). Along with this explosive growth has been a rapid increase in distance education via the computer (Scigliano, Joslyn & Levin, 1988) with many organizations and institutions now developing systems and networks for learner access to the Internet.
ACCF/AHA Practice Guideline Practice Guidelines 2010 ACCF/AHA Guideline for Assessment of Cardiovascular Risk in Asymptomatic Adults

Philip Greenland, MD, FACC, FAHA, Chair; Joseph S. Alpert, MD, FACC, FAHA; George A. Beller, MD, MACC, FAHA; Emelia J. Benjamin, MD, SCM, FACC, FAHA*†; Matthew J. Budoff, MD, FACC, FAHA‡§ ; Zahi A. Fayad, PhD, FACC, FAHA¶; Elyse Foster, MD, FACC, FAHA#; Mark. A. Hlatky, MD, FACC, FAHA§**; John McB. Hodgson, MD, FACC, FAHA, FSCAI‡§**††; Frederick G. Kushner, MD, FACC, FAHA†‡‡; Michael S. Lauer, MD, FACC, FAHA; Leslee J. Shaw, PhD, FACC, FAHA§§; Sidney C. Smith, Jr, MD, FACC, FAHA ¶¶; Allen J. Taylor, MD, FACC, FAHA##; William S. Weintraub, MD, FACC, FAHA; Nanette K. Wenger, MD, MACC, FAHA
Evaluation of peak functions on ultra-coarse grids

469 2013 Proc. R. Soc. A Natalia Petrovskaya and Nina Embleton Evaluation of peak functions on ultra-coarse grids References 5.full. html#ref-list-1 http://rspa.royalsocietypublishing. org/content/469/2153/2012066 This article cites 32 articles, 5 of which can be accessed free Email alerting service here the box at the top right-hand corner of the article or click Receive free email alerts when new articles cite this article sign up in
Spdef deletion rescues the crypt cell proliferation defect in conditional Gata 6 null mouse small

Background: GATA transcription factors are essential for self-renewal of the small intestinal epithelium. Gata4 is expressed in the proximal 85% of small intestine while Gata6 is expressed throughout the length of small intestine. Deletion of intestinal Gata4 and Gata6 results in an altered proliferation/differentiation phenotype, and an up-regulation of SAM pointed domain containing ETS transcription factor (Spdef), a transcription factor recently shown to act as a tumor suppressor. The goal of this study is to determine to what extent SPDEF mediates the downstream functions of GATA4/GATA6 in the small intestine. The hypothesis to be tested is that intestinal GATA4/GATA6 functions through SPDEF by repressing Spdef gene expression. To test this hypothesis, we defined the functions most likely regulated by the overlapping GATA6/SPDEF target gene set in mouse intestine, delineated the relationship between GATA6 chromatin occupancy and Spdef gene regulation in Caco-2 cells, and determined the extent to which prevention of Spdef up-regulation by Spdef knockout rescues the GATA6 phenotype in conditional Gata6 knockout mouse ileum. Results: Using publicly available profiling data, we found that 83% of GATA6-regulated genes are also regulated by SPDEF, and that proliferation/cancer is the function most likely to be modulated by this overlapping gene set. In human Caco-2 cells, GATA6 knockdown results in an up-regulation of Spdef gene expression, modeling our mouse Gata6 knockout data. GATA6 occupies a genetic locus located 40 kb upstream of the Spdef transcription start site, consistent with direct regulation of Spdef gene expression by GATA6. Prevention of Spdef up-regulation in conditional Gata6 knockout mouse ileum by the additional deletion of Spdef rescued the crypt cell proliferation defect, but had little effect on altered lineage differentiation or absorptive enterocytes gene expression. Conclusion: SPDEF is a key, immediate downstream effecter of the crypt cell proliferation function of GATA4/GATA6 in the small intestine.
Multi-tenant GPU Clusters for Deep Learning Workloads: Analysis and Implications

With widespread advances in machine learning, a number of large enterprises are beginning to incorporate machine learning models across a number of products. These models are typically trained on shared, multi-tenant GPU clusters. Similar to existing cluster computing workloads, scheduling frameworks aim to provide features like high efficiency, resource isolation, fair sharing across users, etc. However Deep Neural Network (DNN) based workloads, predominantly trained on GPUs, differ in two significant ways from traditional big data analytics workloads. First, from a cluster utilization perspective, GPUs represent a monolithic resource that cannot be shared at a fine granularity across users. Second, from a workload perspective, deep learning frameworks require gang scheduling reducing the flexibility of scheduling and making the jobs themselves inelastic to failures at runtime. In this paper we present a detailed workload characterization of a two-month long trace from a multi-tenant GPU cluster in a large enterprise. By correlating scheduler logs with logs from individual jobs, we study three distinct issues that affect cluster utilization for DNN training workloads on multi-tenant clusters: (1) the effect of gang scheduling and locality constraints on queuing, (2) the effect of locality on GPU utilization, and (3) failures during training. Based on our experience running a large-scale operation, we provide design guidelines pertaining to next-generation cluster schedulers for DNN training workloads.
The Legacy of the Modern Movement ; Appreciation of Office Locations in the Context of the Contemporary City Hilde

Hilde Remøy Delft www.bk. tudelft.nl/re-h PhD candidate, Department of Real Estate & Housing, Faculty of Architecture, Delft University of Technology, since July 2005. Research topics are the cause of vacancy in office buildings, conversion as a way of coping with vacancy and future possibilities for limiting the problems of vacancy and conversions. Hilde is trained as an architect and worked for different Dutch architects, i. e. Hoogstad Architects in Rotterdam. Recent publications include Remøy, H. T. and D. J. M. van der Voordt (2007), A new life: conversion of vacant office buildings into housing. Facilities (25) 3-4, 88-103; Voordt, D. J. M. van der, with R. P. Geraedts, H. T. Remøy and C. P. A. Oudijk (2007), Transformatie van kantoor gebouwen. Thema’s, actoren, instrumenten en projecten. Rotterdam: 010 Publishers (in Dutch).
TO GRADUAL ACCLIMATION TO LOW-SALINITY WATER IN WALTON ’ S MUDSKIPPER PERIOPH-THALMUS WALTONI KOUMANS , 1941 ( PERCIFORMES : GOBIIDAE )

The present study investigates and reports the effects of gradual acclimation to low salinity water on some haematological, biochemical and immunological responses in Walton’s mudskipper, Periophthalmus waltoni. For this purpose, mudskippers caught from Persian Gulf coastal area (Bandar Khamir, Hormozgan Province, Iran) were maintained in laboratory aquaria with half seawater (50% SW, 17 ppt) and fed daily with frozen blood worms (Chironomus spp.) for one month prior to the start of experiments. After acclimation, groups of 18 individuals were either directly transferred to 50% SW (control), or acclimated to low salinity water during two sub-periods. In the first sub-period, fish were exposed to low salinity water namely to a gradual water salinity decrease of 1 ppt per day (during 17 days) until the final salinity of 0.4 ppt was reached. Afterwards, fish continued to maintain in this point of salinity (0.4 ppt), for further 15 days until day 32 (second sub-period). Fish were sampled on day 0, 17 and 32. Statistical analysis showed a significant influence of reduced salinity on erythrocytes, haemoglobin, haematocrit, leukocytes, lymphocytes, neutrophils, monocytes and on all biochemical and immunological parameters tested on day 17. However, these indices returned to the control level on day 32. Based on results, the extremely euryhaline P. waltoni can be acclimated to freshwater medium without showing any health disturbance if a gradual decrease in salinity is carried out for a long period of time.