Miracle-dz/UniFAR-FTUs huggingface dataset:
Medical Ultrasound Imaging and Interventional Component (MUSiiC) Framework for Advanced Ultrasound Image-guided Therapy

In this section, a new software framework for preand intraoperative real time monitoring of ablative therapy is presented. The software framework provides US Bmode images and elasticity images simultaneously in real-time. The position of the ablator’s tip and a region of heated tissue are monitored in the B-Mode images, because the images represent tissue morphology. Furthermore, US elasticity images are used for finding the boundary and region of the tumor before ablation, and monitoring thermal dose in tissue during ablation. By providing B-Mode images and elasticity images concurrently, reliable information for monitoring thermal therapy can be offered.
Modeling score distributions for information retrieval

When a user submits a query to a search engine, the search engine computes a score for each document according to its relevance to the query, and ranks the documents based on their scores. Due to the complexity of the modern search engine, the score itself is not sufficient for the information retrieval application requiring combining different ranked lists. Inferring the score distributions for relevant and non-relevant documents and estimating the probability of relevance become imperative. In this thesis, we address two major research questions: (1) How to model score distributions in a more accurate manner for relevant and non-relevant documents? (2) How can score distributions be better inferred in practice when the relevance information is absent? In the first part of the thesis, we show the existing problems of today's most widely used score distribution model, and propose to model the relevant document scores by a mixture of Gaussian distributions and the non-relevant scores by a Gamma distribution. Score distributions are further modeled in a more systematic manner. With a basic assumption of the distribution of terms in a document, the distribution of the produced scores for retrieved documents can be derived through the transformations applied on the term frequency. Meanwhile, the score distribution of relevant documents can also be derived through a general mathematical framework given the score distribution for all retrieved documents. The second part of the thesis presents a new framework for inferring score distributions when the relevance information is unavailable. The new inference process extends the expectation maximization algorithm by simultaneously considering the ranked lists of documents returned by multiple retrieval systems, and encodes the constraint that the same document retrieved by multiple systems should have the same, global, probability of relevance. Combined, we demonstrate that it is more effective when it is applied on the task of metasearch.
Daily patient-reported health status assessment improvements with benralizumab for patients with severe, uncontrolled eosinophilic asthma

Background Patients with severe, uncontrolled asthma experience debilitating symptoms that result in meaningful reductions to health-related quality of life. Benralizumab is an interleukin-5 receptor alpha–directed cytolytic monoclonal antibody that reduces exacerbations and improves asthma symptoms for patients with severe, uncontrolled eosinophilic asthma. Objective The objective of this study was to evaluate improvements in daily asthma-related health status outcomes following treatment with benralizumab. Methods Pooled results from the SIROCCO (NCT01928771) and CALIMA (NCT01914757) Phase III studies were analyzed. Patients aged 12–75 years with severe, uncontrolled asthma, and blood eosinophil counts (BEC) ≥300 and ≥150 cells/µL were evaluated. Patients received subcutaneous benralizumab 30 mg every 4 weeks (Q4W) or every 8 weeks (Q8W, first three doses Q4W) or placebo and completed a daily diary reporting rescue medication use, night-time awakening requiring rescue medication use, perceived tiredness, and asthma-related activity impairment. Outcome measures were compared across treatment arms from baseline to end of treatment (EOT) using a mixed-effect model for repeated measures analyses. Results Patients with BEC ≥300 cells/µL receiving benralizumab Q8W had greater improvements in all patient-reported outcomes at EOT relative to baseline than patients receiving placebo (all nominal P≤0.013). Effects were reported as early as 3 days following the initial dose and sustained throughout treatment for daily and night-time rescue medication use and night-time awakenings requiring rescue medication. For patients with BEC ≥300 and ≥150 cells/ µL, sustained improvements in activity impairment items (all nominal P<0.05) were achieved with benralizumab Q8W at week 2. Conclusion Benralizumab produces sustained reductions by as early as 3 days in rescue medication use and activity impairment for patients with severe, uncontrolled eosinophilic asthma.
Mars: Science Before Settlement

ABSTRACT I review Mars science goals, including those associated with the study of Mars’ past and present habitability, as well as those associated with understanding Mars’ atmosphere and climate. I argue that Mars settlement initiatives would likely frustrate attempts to satisfy many of these goals, and therefore that it would be prudent for the Mars science community to prioritize those investigations most threatened by human settlement of Mars.
ALIGNMENT OF SUPERMASSIVE BLACK HOLE BINARY ORBITS AND SPINS

Recent studies of accretion onto supermassive black hole binaries suggest that much, perhaps most, of the matter eventually accretes onto one hole or the other. If so, then for binaries whose inspiral from ∼1 pc to ∼10−3–10−2 pc is driven by interaction with external gas, both the binary orbital axis and the individual black hole spins can be reoriented by angular momentum exchange with this gas. Here we show that, unless the binary mass ratio is far from unity, the spins of the individual holes align with the binary orbital axis in a time ∼few–100 times shorter than the binary orbital axis aligns with the angular momentum direction of the incoming circumbinary gas; the spin of the secondary aligns more rapidly than that of the primary by a factor ∼(m1/m2)1/2 > 1. Thus the binary acts as a stabilizing agent, so that for gas-driven systems, the black hole spins are highly likely to be aligned (or counteraligned if retrograde accretion is common) with each other and with the binary orbital axis. This alignment can significantly reduce the recoil speed resulting from subsequent black hole merger.
Generating Calligraphy Works Based on DiscoGAN

Copying the works of a good calligrapher is a necessary step for many beginners. However, due to the large number of Chinese characters, it is a challenge to automatically generate Chinese characters in the style of calligraphers. With the development of deep learning, the recognition of Chinese characters, style migration and other research have achieved remarkable results. However, there are few studies on the generation of calligraphy works, especially on the lack of paired training data. In this work, we propose a method for generating calligraphy works. This method is generally applicable to the generation of calligraphy works of various styles. And the validity of our method is verified by experiments on data sets.
Flight Testing of the TWiLiTE Airborne Molecular Doppler Lidar

In September, 2009 the TWiLiTE (Tropospheric Wind Lidar Technology Experiment) direct detection Doppler lidar was integrated for engineering flight testing on the NASA ER-2 high altitude aircraft. The TWiI,iTE Doppler lidar measures vertical profiles of wind by transmitting a short ultraviolet (355 nm) laser pulse into the atmosphere, collecting the laser light scattered back to the lidar by air molecules and measuring the Doppler shifted frequency of that light. The magnitude of the Doppler shift is proportional to the wind speed of the air in the parcel scattering the laser light. TWiLiTE was developed with funding from the NASA Earth Science Technology Office (ESTO) Instrument Incubator Program (11P). The primary objectives of the TWiLiTE program are twofold: 1) to advance the development of key technologies and subsystems critical for a future space based Global 3-1) Wind Mission, as recommended by the National Research Council in the recent Decadal Survey for Earth Science [1] and 2) to develop, for the first time, a fully autonomous airborne Doppler lidar and to demonstrate tropospheric wind profile measurements from a high altitude downward looking, moving platform to simulate spaceborne measurements. In this paper we will briefly describe the instrument followed by a discussion of the results from the 2009 engineering test flights
Web Page Recommendation System using Self Organizing Map Technique

The exponential explosion of various contents on the Web, made Recommendation Systems increasingly indispensable. Innumerable different kinds of recommendations are made on the Web every day, including movies, music, images, books recommendations, query suggestions and tags recommendations, etc. The paper aims to provide the users with most relevant results (URL's) to the respective query word. The developed System uses the K-means technique and the Modified System uses the Self-Organizing Map technique. Both the methods use historical browsers data for search key words and provide users with most relevant web pages. All users click-through activity such as number of times he visited, duration he spent, and several other variables are stored in database. The Systems use this database and process to cluster and rank them. The results obtained shows that the Self Organizing Map technique produce most relevant results for a particular query word compared to K-means technique. The Self Organizing Map technique is the optimal method for Web Page recommendations. The Modified System can be utilized in many recommendation tasks on the World Wide Web, including expert finding, image recommendations, image annotations, etc. The experimental results show the promising future of our work.
A GA based Software Test Data to Generator Suitable Test Cases

This work presents a new concept that is applied in genetic algorithm based tester. Genetic algorithm is sort of evolutionary algorithm that uses in searching problem for optimal solution. In presented test input data generation application, the solution sought by genetic algorithm is a set of test data that causes execution of all possible paths of a given program under test. The proposed concept, repetition frequency is a tool to measure high frequented and also dead parts of program. To experiment with proposed genetic generator, random test data generator was implemented too. Both of these generators tested three programs that are benchmark for many researchers in order to show our proposed tester efficiency.
Multiple macroevolutionary routes to becoming a biodiversity hotspot

Global hotspots of biodiversity arise from faster species generation in the tropics and higher migration in temperate realms. Why is species diversity so unevenly distributed across different regions on Earth? Regional differences in biodiversity may stem from differences in rates of speciation and dispersal and colonization times, but these hypotheses have rarely been tested simultaneously at a global scale. Our study reveals the macroevolutionary routes that have generated hotspots of mammal and bird biodiversity by analyzing the tempo and mode of diversification and dispersal within major biogeographic realms. Hotspots in tropical realms had higher rates of speciation, whereas those in temperate realms received more immigrant species from their surrounding regions. We also found that hotspots had higher spatial complexity and energy availability, providing a link between the environment and macroevolutionary history. Our study highlights how assessing differences in macroevolutionary history can help to explain why biodiversity varies so much worldwide.
CONTRIBUTION OF GEOMORPHOLOGICAL FEATURES OF THE DRAINAGE NETWORK OF MEGALO REMA (RAFINA) AND HUMAN INTERFERENCE IN OCCURANCE OF FLOOD EVENTS

Στην παρούσα eργασία διeρeυνώνται οι φυσικές - γeωμορφολογικές παράμeτροι του υδρογραφικού δικτύου του Μeγάλου Ρέματος της Ραφήνας καθώς και οι ανθρωπογeνeίς παρeμβάσeις που θeωρούνται eπικίνδυνeς για την eκδήλωση πλημμύρων στην eυρύτeρη πeριοχή του κάτω ρου του. Για το σκοπό αυτό υπολογίστηκαν τα μορφομeτρικά χαρακτηριστικά του υδρογραφικού δικτύου του Μeγάλου Ρέματος eνώ παράλληλα καταγράφηκαν, αποτυπώθηκαν λeπτομeρώς και αξιολογήθηκαν οι ανθρωπογeνeίς eπeμβάσeις που eντοπίζονται στις κοίτeς του κατάντη τμήματος του eνώ eπιπλέον υπολογίστηκe η διαχρονική οικιστική ανάπτυξη στον eυρύτeρο χώρο της λeκάνης απορροής. Διαπιστώθηκe ότι μeταξύ των φυσικών αιτιών που eυθύνονται για την eνδeχόμeνη eκδήλωση πλημμύρων πeριλαμβάνονται οι ανωμαλίeς στη διαδοχική κατά τάξη απορροή των κλάδων του υδρογραφικού δικτύου και οι μeγάλeς κλίσeις των παραποτάμων και κυρίως του ρέματος της Αγ. Παρασκeυής. Eπιπλέον eκτιμήθηκe ότι σημαντικές eίναι οι ανθρωπογeνeίς παρeμβάσeις στις κοίτeς του κατώτeρου τμήματος του υδρογραφικού δικτύου πλησίον των eκβολών καθώς και η οικιστική ανάπτυξη της λeκάνης απορροής
Soybean isoflavones improve the health benefits, flavour quality indicators and physical properties of grass carp (Ctenopharygodon idella)

Health benefits, flavour quality indicators and physical properties were analysed after feeding grass carp graded concentrations of soybean isoflavones (SIF) (0, 25, 50, 75, 100 and 125 mg/kg) for 60 days. The results demonstrated that optimal dietary SIF supplementation improved the protein and total PUFA content, especially healthcare n-3 PUFA (C18: 3n-3, EPA and DHA), and increased the flavour-related free amino acid [especially umami amino acid] and 5'-inosine monophosphate content, improving the health benefits and flavour quality indicators in the muscle of grass carp. In addition, optimal dietary SIF supplementation (25 or 50 mg SIF/kg diet) enhanced some physical properties [water-holding capacity and tenderness] and increased the collagen content; however, it reduced cathepsin activity and apoptosis. SIF supplementation enhanced the glutathione content and the activity of antioxidant enzymes (except CuZnSOD) by regulating their gene expression. The gene expression could be regulated by NF-E2-related factor 2 (Nrf2) signalling in the muscle of grass carp. We demonstrated that optimal dietary SIF supplementation elevated the health benefits, flavour quality indicators and physical properties of fish muscle.
Recognizing the role of psychiatric comorbidities: a response to the Danish Colorectal Screening Program

php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). Clinical Epidemiology 2019:11 125–126 Clinical Epidemiology Dovepress
Review of Sentiment Analysis and Opinion Mining Algorithms

Duygu Analizi veya Fikir Madenciligi, metin madenciliginin onemli bir alani ve son yillarin onemli arastirma konularindan biridir. Gunumuzde sirketlerin veya kisilerin urettikleri urunler cok hizli bir sekilde tuketiciye ulasmakta ve bu urunlerle ilgili yapilan yorumlarda gelisen teknoloji ile beraber internet dunyasina yansimaktadir. Bu yorumlarin ne anlama geldigi ureticiler icin cok onemlidir. Bunun disinda Duygu Analizi veya Fikir Madenciligi finanstan tutun da tip alanina kadar bircok alanda kullanilabilir. Duygu Analizi; bir metni ele alarak bu metnin olumlu, olumsuz veya tarafsiz bir icerige sahip olup olmadigini inceler. Genel olarak fikirlerin, duygularin ve metinlerin nesnelliginin hesaplanma islemi de denilebilir. Bu calisma da, Duygu Analizi hakkinda arastirma yapilmis olup Duygu Analizi siniflandirma teknikleri incelenerek tum alt bilesenleri ile beraber anlatilmistir. Duygu Analizi ile ilgili bircok guncel makale incelenmis ve kisaca anlatilmistir. En son olarak genel bir degerlendirme ve sonuc yazilarak calisma bitirilmistir.
ECONOMIES OF SCALE FOR SMALL AND LARGE SUGAR CANE FARMS IN KWAZULU-NATAL / EKONOMIE VAN SKAAL VIR GROOT EN KLEIN SUIKERRIETPLASE IN KWAZULU-NATAL

This paper gives a profile of a sample of a small and large sugar cane farms in the North coast region of the KwaZulu-Natal sugar cane belt. The survey was conducted during May 1995. Farms studied varied between one and 600 hectares. Values for small farms were significantly lower than large farms for human capital resources, farm resource utilisation, rate of search and utilisation of farm information, and adoption of appropriate and improved cultural farm practices. Such differences may account for the differences in farm productivity between small and large farms that exist in the South African sugar industry. A linear discriminant function model shows that small and large farms studied differ significantly on lines of human resources and cost of borrowed capital (market related). The findings of the study show that large cane farms face lower market related interest rates, are relatively better equipped in human resource capital, and are in a position to implement appropriate and recommendable farm pr.
An Improvement of Algorithm using Kohonen's Self-Organizing Feature Map for the Traveling Salesman Problem

The Traveling Salesman Problem (TSP) is well known as one of the combinatorial optimization problem. In 1988, Angeniol et al. first applied Kohonen's Self Organizing feature Map (SOM) to the TSP . They demonstrated that the practical solutions (sub-optimal tour) were obtained by their proposed method in sufficiently short time compared with conventional methods;e.g. Hopfield Network, Simulated Annealing, Genetic Algorithm (GA) and Chaos Neural Network. In this paper, we have improved Angeniol's method to reduce the calculating time by the following modifications of (1)optimization of node creation timing and (2)adding a momentum effect for the update factor. Using the best combination of the several parameters in the modified method, we confirm that the modified method can be take just one fourth time compared with original method to solve the squarely located 36 cities TSP. Finally, we illustrate that the 200 cities TSP can be solved about one minute using our method on the personal computer.
Lattice Boltzmann Method for Fluid Flow

Author(s): Abdellah-El-Hadj, Amine | Advisor(s): Wang, Yun | Abstract: In the last few years, a rapid development in the method known as the Lattice Boltzmann Method (LBM) has been achieved. It demonstrated its ability to simulate hydrodynamic systems, multiphase and multicomponent fluids. The main advantages of the LBM are the parallelism of the method, the simplicity of programming and the capability of incorporating model interactions. The use of the LBM to understand the flow structure inside the Gas Diffusion Layer (GDL) of a fuel cell is a particular active topic, motivated by the need of finding alternative energy conversion devices. In the present work we developed a rigorous initial base of a flow solver based on the LBM, the BGK model is used to approximate the collision term in the Boltzmann equation. We used the bounce back scheme to simulate the boundary conditions and the flow solver is validated against three benchmarking cases. The process of applying the boundary conditions was automated to handle complicated flow structures. We simulated the flow in a 2D structure surface extracted from a 3D reconstructed GDL, using both non-parallel and parallel code. The results for a single phase flow show the flow structure expected, the convergence of the parallel code is faster and its parallelism is easier comparing to the traditional Navier-Stokes solver.
AMPA receptor antagonist perampanel affects glioblastoma cell growth and glutamate release in vitro

Epileptic seizures are frequent in patients with glioblastoma, and anticonvulsive treatment is often necessary. While clinical guidelines recommend all approved anticonvulsants, so far it is still unclear which of the available drugs is the best therapeutic option for treating glioma-associated seizures, also in view of possible anti-tumorigenic effects. In our study, we employed four patient-derived low-passage cell lines of glioblastoma and three cell lines of brain metastases, and challenged these cultures with four anticonvulsants with different mechanisms of action: levetiracetam, valproic acid, carbamazepine and perampanel. Cell proliferation was determined by bromodeoxyuridine incorporation. To further analyze the effects of perampanel, apoptosis induction was measured by caspase 3/7 activation. Glutamate release was quantified and glucose uptake was determined using 18F-fluorodeoxyglucose. Real-time polymerase chain reaction was employed to assess the expression of genes associated with glutamate release and uptake in brain tumor cells. Of the four anticonvulsants, only perampanel showed systematic inhibitory effects on cell proliferation, whereas all other anticonvulsants failed to inhibit glioma and metastasis cell growth in vitro. Metastasis cells were much more resistant to perampanel than glioblastoma cell lines. Glucose uptake was attenuated in all glioblastoma cells after perampanel exposure, whereas cell death via apoptosis was not induced. Extracellular glutamate levels were found to be significantly higher in glioblastoma cell lines as compared to metastasis cell lines, but could be reduced by perampanel exposure. Incubation with perampanel up-regulated glutamine synthetase expression in glioblastoma cells, whereas treatment with valproic acid and levetiracetam downregulated excitatory amino acid transporter-2 expression. Overall, our data suggest that perampanel acts as an anticonvulsive drug and additionally mediated anti-tumorigenic effects.
Study of network flow timeout strategy

Firstly discussed the state-of-art of flow timeout strategies, and pointed out where they were applicable and their shortcomings. Presented a two-level self-adaptive timeout (TSAT) strategy which handles flows with different timeout strategy according to its feature. This method could improve the performances of network measurement and the efficiency of the resource usage of measurement systems. Some experiments were employed to show the rationality of TSAT strategy. Then the fitness area of strategy was anatomized as well.