Miracle-dz/UniFAR-FTUs huggingface dataset:
MIC-SVM: A Highly Efficient Support Vector Machine For Modern HPC Architectures

Support Vector Machines (SVM) have been widely used in data-mining and Big Data applications as modern commercial databases start to attach an increasing importance to the analytic capabilities. In recent years, SVM was adapted to the field of High Performance Computing for power/performance prediction, auto-tuning, and runtime scheduling. However, even at the risk of losing prediction accuracy due to insufficient runtime information, researchers can only afford to apply offline model training to avoid significant runtime training overhead. Advanced multiand many-core architectures offer massive parallelism with complex memory hierarchies which can make runtime training possible, but form a barrier to efficient parallel SVM design. To address the challenges above, we designed and implemented MIC-SVM, a highly efficient parallel SVM for x86 based multicore and many-core architectures, such as the Intel Ivy Bridge CPUs and Intel Xeon Phi co-processor (MIC). We propose various novel analysis methods and optimization techniques to fully utilize the multilevel parallelism provided by these architectures and serve as general optimization methods for other machine learning tools. MIC-SVM achieves 4.4-84x and 18-47x speedups against the popular LIBSVM, on MIC and Ivy Bridge CPUs respectively, for several real-world data-mining datasets. Even compared with GPUSVM, running on the NVIDIA k20x GPU, the performance of our MIC-SVM is competitive. We also conduct a cross-platform performance comparison analysis, focusing on Ivy Bridge CPUs, MIC and GPUs, and provide insights on how to select the most suitable advanced architectures for specific algorithms and input data patterns.
DDDT_A_202410 2145..2152

Nguyen Trung Kien Phillip Geiger Hoang Van Chuong Nguyen Manh Cuong Ngo Van Dinh Dinh Cong Pho Vu The Anh Nguyen Truong Giang 1Department of Anesthesia and Pain Medicine, Military Hospital 103, Vietnam Military Medical University, Hanoi, Vietnam; 2Department of Anesthesiology, Perioperative, and Pain Medicine, Naval Medical Center Portsmouth, Portsmouth, VA, USA; 3Faculty of Medicine, Vietnam Military Medical University, Hanoi, Vietnam; 4Department of Cardiothoracic Surgery, Military Hospital 103, Vietnam Military Medical University, Hanoi, Vietnam Objective: To evaluate the preemptive analgesic effect of combination pregabalin with celecoxib for lumbar spine surgery. Methods: A prospective, randomized study was conducted among 60 lumbar spine surgery patients and divided into two groups. Postoperative pain relief was achieved with intravenous patient-controlled analgesia with morphine. The preemptive analgesia group received oral pregabalin (150 mg) and celecoxib (200 mg) 2 hrs before surgery, and the control group received a placebo. Pain was assessed by visual analogue scale (VAS). Side effects and morphine consumption were monitored until 48 hrs after surgery. Results: VAS score at rest and during movement was statistically significantly lower in the preemptive analgesia group at most time points (p<0.05). Morphine consumption was significantly lower in the preemptive analgesia group compared with control group in the 24 first hours (29.03±4.38 mg vs 24.43±4.94) and 48 hrs (52.23±9.57 mg vs 44.20±10.21 mg), p<0.05. Hemodynamics, respiratory rate, and SpO2 were similar for both groups. The sedation score was only statistically significant at H8 time point. The incidence of nausea/ vomiting in the preemptive group did not statistically differ from the control group. Conclusion: Preoperative administration of pregabalin combined with celecoxib had a good preemptive analgesia effect and reduced intravenous morphine consumption after lumbar spine surgery. Side effects were mild and transient.
Studies on Interspecies and Intraspecies Transmission of Influenza A Viruses

Influenza A viruses are enveloped viruses belonging to the family Orthomyxoviradae that encompasses four more genera: Influenza B, Influenza C, Isavirus and Thogotovirus. Type A is the only genus that is highly infectious to variety of animal species, including human, pigs, wild and domestic birds, horses, cats, dogs, ferrets, seals, whales, and others. Avian viruses are generally thought to preferentially bind the N-acetylneuraminic acidα2,3-galactose (NeuAcα2,3Gal) form of sialic acid receptors and human viruses preferentially bind to NeuAcα2,6Gal sialic acid receptors. Pigs express substantial amount of both forms of sialic acids on their upper respiratory epithelial cells, and it is believed that both avian and human influenza viruses can attach to the appropriate receptors and infect pigs. Hence, pigs have been postulated to serve as a “mixing vessels” in which two or more influenza viruses can co-infect and undergo reassortment with potential for development of new viruses that can transmit to and infect other species. An H1N1 influenza A virus, A/swine/Ohio/24366/07, was isolated from pigs in an Ohio County fair. Twenty-six people that came in contact with the infected pigs developed respiratory disease and two of these people were laboratory confirmed as H1N1 by the Centers for Disease Control and Prevention (CDC). Hence, we genetically and antigenically characterized three H1N1 swine influenza viruses isolated from Ohio in
Expanding the Topside Sounder Digital Data Collection

The International Satellites for Ionospheric Studies (ISIS) program included four Canadian-built swept-frequency topside sounder satellites: Alouette 1 and 2, and ISIS 1 and 2. These satellites were launched between 1962 and 1971 and, together with other topside sounders, provided the first truly global maps of ionospheric density because they obtained observations over regions that were not readily accessible to ground-based instruments. An effort has been underway for several years to preserve data from these satellites for modern analysis. A NASA effort has already transferred thousands of the original magnetic tapes to digital form. A pilot project is now underway to digitally preserve data stored on 35mm film using standardized file formats. This effort focusses on the ISIS-2 satellite, particularly on topside soundings made near Resolute Bay (74.7°N, 265.1°E). ISIS-2 had a polar circular orbit at 1400 km altitude, providing good coverage of the polar cap. Resolute Bay hosted both a ground station for acquiring ISIS-2 data, and a ground-based ionosonde, allowing complementary bottomside and topside soundings to be performed. Periods of interest have been identified in which both topside and ground-based sounding data films exist. Software has already been developed to analyze film ionograms from ground-based sounders. New software is being developed to convert the topside film into digital ionograms with range and frequency information. Position information from the satellite ephemeris will also be added. Existing software such as TOPIST will be used to produce electron density profiles (EDPs) from the topside soundings for comparison with the ground-based EDPs. The storm-time behavior of the polar cap will be examined. Ultimately, the goal will be to compare polar cap profiles from this early 1970s data set with modern Resolute Bay observations.
Endophytic fungus: a potential source of biologically synthesized nanoparticle

Endophytic fungus is an endosymbiont which colonize healthy plant without causing any harm. These are relatively unexplored producers of metabolites useful to pharmaceutical industries. These are divided into four classes. These fungi protect plant from insect attack and diseases. They are potential source of biologically synthesized silver nanoparticles. Silver nanoparticles are environment friendly and a very good choice of antimicrobial agent. The metabolite produced by the endophytic fungus used as alternative source of antimicrobial agent against clinical pathogens. These are also sources of anticancer, antidiabetic, insecticidal and immunosuppressive compound.
LDRD PROJECT TITLE : Noise , Decoherence and Errors from Entanglement-function Theory for Quantum Computing PROJECT TEAM MEMBERS :

A significant problem in quantum computing is the development of physical realizations of algorithms that are robust against noise. One way to examine and mitigate noise would be to simulate large sets of qubits coupling to the external environment on classical computers. This is extremely challenging as quantum information processing is in some sense tied to computing resources that scale exponentially with the number of computing elements (qubits). In this LDRD, we set the foundation for a computational framework potentially allowing simulations of 1000s of qubits vs. 10s now possible. Exact wave-function-based methods demand exponentially increasing resources with system size. The method proposed, entanglement-functional theory (EFT), requires vastly fewer resources. The crucial step is to map the information contained in the wave-functions into a simpler object with associated 1. ) auxiliary gate operations and 2. ) entanglement functionals of this object. This is similar to the Time-dependent Density Functional Theory (TDDFT) approach that has revolutionized chemistry and materials science. Instead of dealing with the exponentially large wave-function, EFT works with a polynomially large set of projections (the density) that are easily manipulated through unitary operations. For a given set of quantum gates, an isomorphism exists that relates the sequence of events to the time-dependent density. A system of entangled qubits can be simulated at drastically reduced cost relative to existing state-of-the-art vector-state simulation codes. Once mature this approach may enable 1000 qubit simulations with an explicit treatment of environmental effects. While we the method under investigation is currently restricted to closed systems (i.e., strictly unitary evolution) we anticipate being able to generalize our approach to more general open systems. This approach will be possible once reasonably accurate density functionals have been identified and massive simulations can be done. The study of noise and decoherence is crucial for testing proposed noise tolerant algorithms and for assessing their feasibility in physical devices.
EXTRACTION OF ESSENTIAL OIL FROM CLOVE'S BUDS USING AN ULTRASONIC-ASSISTED METHOD

Cloves (Syzygium aromaticum L.) are the aromatic dried flower buds of a tree in the family Myrtacae. Clove's essential oil is widely used as aromatherapy and for toothache treatment. Development of extraction technology that could increase oil yield from clove would thus significantly enhance the profitability of the clove's oil and reduce processing costs significantly. It has been shown that ultrasound-assisted extraction method which uses vibrations to extract samples with polar solvents in an ultrasonic bath can enhance extraction of phytochemicals from plant sources while reducing processing time and solvent consumption. In this this research work an essential oils was obtained from clove's buds using an ultrasonic-assisted method with n-hexane as extraction solvent at different ultrasonic machine power rate of 100, 200, 300, 400 and 500 W at constant time of 20 minutes at room temperature, the chemical compounds present in the different essential oil were analyzed using Gas Chromatography-Mass Spectrometer (GC-MS). The GC-MS results show that the maximum content of eugenyl acetate in extracts was 9.24%, and were extracted from clove buds at ultrasonic powers of 300 W Ultrasonic-assisted, GC-MS, clove's buds, n-hexane, Eugenyl acetate .
OTT_A_204919 6053..6068

*These authors contributed equally to this work Purpose: COX-2 overexpression and elevated levels of prostaglandin E2 (PGE2) play an important role in breast cancer carcinogenesis. Recently, expression of the PGE2 receptor EP3 has been shown to be a positive prognostic factor in breast cancer. This study analyzes the functional aspects of targeting EP3 in breast cancer cell lines. Material and methods: EP3 and EP1 expressions were determined in five breast cancer cell lines on the mRNAand the protein-level. The selected cell lines were subsequently stimulated for 24–72 hrs with 10–1,000 nM of PGE2, the EP1/EP3 agonist sulprostone and the EP3 antagonist L798,106. Cell proliferation was determined via BrdU-assay, migration via scratch assay, EP3, Gi-protein and p-ERK1/2 expressions via Western blot and cAMP concentrations via ELISA. The Mann–Whitney-U-test was used to test for statistical significance. Results: The cell lines T-47D (EP3 expression 77.7%) and SK-BR-3 (EP3 expression 48.7%) were chosen. EP3 antagonism reduced its expression on SK-BR-3 significantly, while no effect was observed on T-47D. The proliferation and migration of SK-BR-3 cells were significantly reduced due to treatment with the EP1/3 agonist, the EP3 antagonist or a combination of both. Neither agonism nor antagonism influenced cell proliferation or migration in T-47D. In SKBR-3, EP3 antagonism showed a significant decrease in Gi-protein levels, an increase in cAMP levels, and no significant change in p-ERK1/2 expression. Conclusion: Antagonism of the EP3 receptor results in a reduced proliferation and migration of SK-BR-3 breast cancer cells, potentially mediated via a Gi-protein-cAMP pathway. The results suggest that EP3 plays a role in tumorigenesis. This is in accordance with the cell culture data of other gynecological tumors, but it is conflicting in so far, as positive EP3 expression is clinically a positive prognostic marker in breast cancer. Therefore, other factors may be important in explaining this contradiction.
A review on brain-computer interfaces based on electrocorticographic signals

This paper surveys the background and development of brain-computer interfaces using electrocorticographic signals, discusses key issues on paradigm design, signal recording/processing methods and pattern recognition. In the recent years, electrocorticographic brain-computer interfaces has developed rapidly with remarkable achievements, and its ability in neural decoding has improved progressively. This technology is promising to bring new breakthroughs to motor function reconstruction or rehabilitation, human-computer interaction and other fields, and has high importance in both research and applications.
Implementation of the Radiosity Algorithm for Large Scale Scenes

We propose an upgrade for the Radiosity algorithm that allows to efficiently apply radiosity for large scale scenes. This is achieved by considering only the patches located close to the observer. For each frame we update local form-factor matrix with a little set of patches, effectively reusing information from the previous frame in this way. Our method is completely expressed via matrix-vector operations, thus, it’s GPU implementation is natural and straightforward. We achieve high occupancy for both CPU and GPU versions of the algorithm by thanks to we use special matrix of several reflections for which update operation effectively combine computations with memory operations.
Les infections génitales hautes : bases microbiologiques du diagnostic et du traitement

Service de bactériologie et hygiène hospitalière, CHRU de Tours, 37044 Tours, France UMR1282 « infectiologie et santé publique », équipe « bactéries et risque materno-fœtal », UFR médecine, université rançois-Rabelais de Tours, 37032 Tours, France INRA Nouzilly, 37380 Nouzilly, France Service de maladies infectieuses et tropicales, CHU de Caen, 14033 Caen cedex, France EA 2128 « interactions hôtes et micro-organismes des épithéliums », UFR de médecine de Caen, université Caen asse-Normandie, 14033 Caen, France
Efficient Algorithms for Constructing Multiplex Networks Embedding

Network embedding has become a very promising techniquein analysis of complex networks. It is a method to project nodes of anetwork into a low-dimensional vector space while retaining the structureof the network based on vector similarity. There are many methods ofnetwork embedding developed for traditional single layer networks. Onthe other hand, multilayer networks can provide more information aboutrelationships between nodes. In this paper, we present our random walkbased multilayer network embedding and compare it with single layerand multilayer network embeddings. For this purpose, we used severalclassic datasets usually used in network embedding experiments and alsocollected our own dataset of papers and authors indexed in Scopus.
CASE REPORT: A 67-YEAR-OLD WOMAN WITH LARYNGEAL TUBERCULOSIS

A 67-year-old woman presented with dysphagia, odynophagia and hoarseness. In her chest X-ray, there was evidence of consolidation associated with loss of volume in the upper lobe of the left lung. Acid-fast bacillus was not seen at the direct smear of the throat exudates. In laryngoscopy, bilateral edema of the arytenoids and exophytic lesions at the posterior commissure were detected. In the biopsy sample of these lesions, acid-fast bacilli were seen. Finally, the patient was treated by anti-tuberculosis drugs.
Individuality of vocabularies in social tagging systems 橋本康弘

In social tagging systems, users create a number of tags, each of which is used according to people’s preferences. In other words, the diversity of the tags continue to increase as they are exposed to selection pressure from cultural preferences. This is analogous to living ecosystems in nature. Such population dynamism, yielding so-called Zipf’s law, is mathematically described by a simple stochastic model—the Yule–Simon process, which models the manner of emergence and the growth of tag vocabularies. However, in actual web services, we observed that large temporal fluctuation emerges in the growth of the cumulative occurrences of vocabularies, which cannot be explained by the usual Yule–Simon process. We derive the theoretical form for the fluctuation of the process, show how the fluctuation in real data deviates from the prediction, and discuss what should be incorporated into the model to reproduce such anomalous vocabulary individuality.
The Behaviour of Aggregate and Regional Business Cycles in the Nordic Countries∗

We study whether the business cycles in Denmark, Finland, Norway and Sweden show signs of convergence relative to each other, the EU-4 (France, Germany, Italy, Spain) and the euro area over the period 1970-2009, with particular emphasis on potential changes following the enactment of the Maastricht treaty in 1992. Despite important similarities between the Nordic countries, they are characterised by dramatically different levels of European integration and therefore constitute an interesting region of study. We find that Finland and Denmark, who have tied their currencies to the euro have become significantly more synchronous relative to the euro area and the EU-4 after 1992, while we do not find any such tendencies for Sweden or Norway. Using a previously unavailable dataset, we also study the behaviour of regional business cycles within these countries over the last fifteen years.
Neural network inversion beyond gradient descent

In this paper, we tackle the problem of inverting deep networks, the task of finding an input that minimizes some criterion of the output of a deep network. We approach this problem by reformulating the network propagation as a constrained optimization problem and solve it using an operator splitting approach, the alternating direction method of multipliers. We show improvement in both iteration count and solution quality on a LeNet architecture in various settings, and we further apply this method to a large-scale network, VGG-11.
Lupus eritematoso sistémico en niños, una revisión de la supervivencia

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease, predominantly affects young women of reproductive age; however, in 10-20% of the patients the diagnosis is made for the first time in childhood. During the last decades, prognosis has significantly improved, mostly due to early diagnosis and more appropriate immunosuppressive therapies. Studies report five-year survival rates of more than 100% in some patient cohorts, whereas in other settings poor prognosis is still observed. Specific disease features which result in impaired organ function, influence outcome and survival, specifically lupic nephritis and central nervous system affection. Socioeconomic status, age at onset, race and gender has been also implicated in prognosis. In almost all studies, the three most commonly reported causes of death are active SLE or associated organ failure, infection, and cardiovascular diseases. The purpose of this review is to summarize the major prognosis factor for a minor survival.
Gender Roles , Household Labor , and Family Satisfaction : A Cross-National Comparison ( Working Draft )

Data from the 2002 International Social Survey Program: Family and Changing Gender Roles (III) are analyzed for 25,847 married or cohabiting adults from 34 more developed countries in Europe, Asia, Latin America, and the United States. We examine the associations between gender role attitudes, household labor, and family satisfaction, and include couple and individual characteristics, as well as country level measures. Overall, we find that involvement in housework and childcare is positively associated with family satisfaction. Family satisfaction is higher among those in more traditional relationships (man breadwinner, woman homemaker) relative to other family forms; yet interaction terms indicate that men report higher family satisfaction the more involved they are in housework and childcare, and the more they agree they ought to share housework and childcare. Multi-level models indicate that only 5 percent of the variation in family satisfaction is between countries, and satisfaction is associated with increased country development.
THE POSSIBILITY OF CREATING AN INTEGRATING SCHOOLYARD MOŻLIWOŚCI KREACJI

The article characterizes selected ideas and concepts for shaping space that are essential from the viewpoint of designing integrating and therapeutic school areas that are child-friendly, on the basis of contemporary trends in environmental psychology, educational science and landscape architecture. The presented ideas and concepts and the conducted analyses of research efforts devoted to the therapeutic school areas allowed us to identify the key spatial features that are crucial for creation of integrating spaces of a schoolyard.
HAPTIC SYSTEM FOR ACQUIRING DRAWING SKILLS WITHIN A VIRTUAL TRAINER

Haptic Devices are mechatronic input-output systems capable of tracking a user's physical movement (input) and providing realistic touch sensations (output). These devices make possible for users to touch and manipulate virtual tools in 3D environments. By using haptic devices, it is possible to design and implement enhanced simulation systems to improve some human skills. The haptic system proposed in this paper simulates the process of sketching and drawing with a virtual pencil on virtual paper. The main contribution of this paper is the development of a virtual environment, using free software and a low cost haptic device. This was intended to help architecture students to acquire specific motor skills for drawing and sketching. Our system gives the user not only visual feedback of their efforts but also the sensation of force feedback over his hand, providing a more realistic experience for both, the trainee and the trainer.