Miracle-dz/UniFAR-FTUs huggingface dataset:
Title Host-Specific NS 5 Ubiquitination Determines Yellow Fever Virus Tropism

The recent yellow fever virus (YFV) epidemic in Brazil in 2017 and Zika virus (ZIKV) epidemic in 2015 serve to remind us of the importance of flaviviruses as emerging human pathogens. With the current global flavivirus threat, there is an urgent need for antivirals and vaccines to curb the spread of these viruses. However, the lack of suitable animal models limits the research questions that can be answered. A common trait of all flaviviruses studied thus far is their ability to antagonize interferon (IFN) signaling so as to enhance viral replication and dissemination. Previously, we reported that YFV NS5 requires the presence of type I IFN (IFN/ ) for its engagement with human signal transducer and activator of transcription 2 (hSTAT2). In this manuscript, we report that like the NS5 proteins of ZIKV and dengue virus (DENV), YFV NS5 protein is able to bind hSTAT2 but not murine STAT2 (mSTAT2). Contrary to what has been demonstrated with ZIKV NS5 and DENV NS5, replacing mSTAT2 with hSTAT2 cannot rescue the YFV NS5-STAT2 interaction, as YFV NS5 is also unable to interact with hSTAT2 in murine cells. We show that the IFN/ -dependent ubiquitination of YFV NS5 that is required for STAT2 binding in human cells is absent in murine cells. In addition, we demonstrate that mSTAT2 restricts YFV replication in vivo. These data serve as further impetus for the development of an immunocompetent mouse model that can serve as a disease model for multiple fla-
MACHINING OF UD-CFRP COMPOSITES : EXPERIMENTS AND FINITE ELEMENT MODELING

Spectrum of the study is to estimate the machining response of unidirectional carbon fiber reinforced plastic (UD-CFRP) composites. A single-phase macro-mechanical and two-phase micro-mechanical finite element (FE) model is used. The cutting and thrust forces during orthogonal machining were studied both experimentally and numerically for a range of fiber orientations, depths of cut and tool rake angles. Both cutting and thrust force measured from the micro-mechanical FE model matches well with the experiments, whereas cutting forces as measured from the macro-mechanical FE model matches well with the experiments, but the thrust force do not. The failure of fiber is found to be a combination of bending (from rear side) and crushing (from front side) for higher fiber orientation, while the bending effect becomes more significant for the lower fiber orientation.
EasyChair Preprint No 1314 In-Situ Data Reduction via Incoherent Sensing

We present a framework for in-situ processing of large-scale simulation data that performs a universal data reduction. Instead of direct compression of the data, we propose a different approach that can be benefit from compressed sensing (CS) theory. Unlike the direct data compression techniques where the accuracy of recovery is fixed, the proposed framework enables more accurate recovery (after in situ data reduction), with using better sparse representations, that can be learned from and optimized for the simulation data. Moreover, we discuss the practical case when the assumption of sparsity doesn’t hold, the optimizationbased recovery algorithm is able to recover the most important elements in the data (characterized by the best k-term approximation), despite significant reduction in the data. We provide theoretical arguments from CS theory and demonstrate experimentally the error behavior exhibited by the proposed approach compared by the best k-term approximation. These arguments, together with our experiments, support the unique feature of the proposed in-situ data reduction: the accuracy of the recovery algorithm can be improved after data reduction by learning better representations for simulation data. The proposed approach provides opportunities for developing new data reduction mechanisms in high performance computing and simulation environments.
deFormatIon transIent analYsIs In long term Insar and gps tIme serIes BY means oF the prIncIpal component analYsIs ( pca ) : results From dpc-Ingv s 3 project

deFormatIon transIent analYsIs In long term Insar and gps tIme serIes BY means oF the prIncIpal component analYsIs (pca): results From dpc-Ingv s3 project G. Pezzo1, C. Tolomei1, E. Serpelloni2, A. Gualandi2, S. Salvi1, J.P. Merryman Boncori3, A. Lugari1 1 Istituto Nazionale di Geofisica e Vulcanologia, CNT, Roma, Italy 2 Istituto Nazionale di Geofisica e Vulcanologia, CNT, Bologna, Italy 3 Sarmap SA, Purasca, Switzerland
Title Wearable Absolute 6 DOF Exercise Training System for Post Stroke Rehabilitation

This paper introduces a multidisciplinary research effort to design an interactive, real time system to assist rehabilitation of stroke patients. The proposed system aims to help stroke survivors with limited mobility to relearn lost skills and regain maximal functional independence. The system assesses the quality of exercise being performed and provides advisory feedback to the patient in order to enable task specific training and correct motor relearning. The system uses a novel, ambulatory and wearable 6 Degree of Freedom (DOF) motion capture system composed of miniature ultrasonic and inertial sensors. The system captures the 3D kinematic parameters of the subject’s movement while performing exercise, enabling telemedicine applications or subsequent review by clinical experts. The paper presents the architecture of the aforementioned system and results from early stages of the research.
Storage system design for fast nonvolatile memories

Nonvolatile memories are transforming the data center. Over the past decade, enterprise flash has evolved to provide a thousand times more random-access throughput than mechanical disks, with a thousand times lower latency and ten times more capacity. These remarkable improvements completely reshape software concerns, allowing storage systems to take a more central role in dynamic resource management, but demanding that they do so with significantly lower overheads. This thesis presents several novel software techniques for managing high-density storage systems. In particular, it describes a probabilistic approach to workload modeling that provides guaranteed error bounds while dramatically reducing memory overheads relative to existing state-of-the-art algorithms. It also documents the design and implementation of a storage controller that leverages dynamic constraint satisfaction techniques to continually optimize data and network flow placement for performance, efficiency, and scale. These advances are presented within a broader design framework that provides a flexible and robust platform for managing all aspects of storage resource allocation. Informed by experiences and insights gained over six years of building an enterprise scale-out storage appliance, it is based on three key ideas: light-weight abstraction to decouple logical resources from physical hardware, online analysis to capture workload requirements, and dynamic actuation to adjust allocations as requirements change. Together, these capabilities allow storage software to dynamically adapt to changing workload behavior and allow stored data to play a more active role in data center computing.
Why do Multinational Firms pay Less Tax than Domestic Firms ? An Integrated Approach

Prior research provides evidence of a tax burden differenti al between foreign and domestic firms, by focusing on a single type of foreign firm, by considering tax p lanning as a the sole channel for tax savings, and by restricting the analysis to the manufacturing sector . The aim of this paper is to provide a more integrated approach to explain why multinational enterpri ses (MNEs) have a lower effective tax rate (ETR) than their domestic counterparts. This is achieved by consi dering that MNEs diverge in their ability to shift income or to benefit from tax concessions, by quantifying the ETR gap in all the sectors where there is a minimum of foreign firms’ presence, and by considering that t e channels for tax savings are not solely driven by tax planning but also by preferential tax treatmen t provided by governments. Using a dataset of 609,396 foreign and domestic firms in 16 sectors of 16 Europea n countries, I show evidence of a substantial ETR gap in high-tax European countries. This gap is present i n most of the sectors investigated (including the least footloose ones) and is higher for MNEs which are mor e mobile, more intensive in R&D and which are younger. The channels of tax savings suggest that this ga p is mainly due to profit shifting and to larger tax allowances provided to MNEs.
Understanding the measurement theory in quantum mechanics

In this paper we show the measurement process and understanding the measurement theory. We review the Copenhagen interpretation and Von Neumann’s theory and Zurek’s theory of measurement. We try to show correspondence between measurement process and different interpretations. My motivation of this paper is to enable beginning students to start exploring the vast literature on this subject.
Adapting machine learning methods to U-statistics

With the increasing availability of large amounts of data, computational complexity has become a keystone of many machine learning algorithms. Stochastic optimization algorithms and distributed/decentralized methods have been widely studied over the last decade and provide increased scalability for optimizing an empirical risk that is separable in the data sample. Yet, in a wide range of statistical learning problems, the risk is accurately estimated by U-statistics, i.e., functionals of the training data with low variance that take the form of averages over d-tuples. We first tackle the problem of sampling for the empirical risk minimization problem. We show that empirical risks can be replaced by drastically computationally simpler Monte-Carlo estimates based on O(n) terms only, usually referred to as incomplete U-statistics, without damaging the learning rate. We establish uniform deviation results and numerical examples show that such approach surpasses more naive subsampling techniques. We then focus on the decentralized estimation topic, where the data sample is distributed over a connected network. We introduce new synchronous and asynchronous randomized gossip algorithms which simultaneously propagate data across the network and maintain local estimates of the U-statistic of interest. We establish convergence rate bounds with explicit data and network dependent terms. Finally, we deal with the decentralized optimization of functions that depend on pairs of observations. Similarly to the estimation case, we introduce a method based on concurrent local updates and data propagation. Our theoretical analysis reveals that the proposed algorithms preserve the convergence rate of centralized dual averaging up to an additive bias term. Our simulations illustrate the practical interest of our approach.
Development Benefit from Agile Methods ?

At first glance, agile methods and global software development might seem incompatible. Agile methods stress continuous face-to-face communication, whereas communication has been reported as the biggest problem of global software development. One challenge to solve is how to apply agile practices in settings where continuous face-to-face interaction is missing. However, agile methods have been successfully used in distributed projects, indicating that they could benefit global software development. This paper discusses potential benefits and challenges of adopting agile methods in global software development. The literature on real industrial case studies reporting on experiences of using agile methods in distributed projects is still scarce. Therefore we suggest further research on the topic. We present our plans for research in companies using agile methods in their distributed projects. We also intend to test the use of agile principles in globally distributed student projects developing software for industrial clients.
Introduction to OpenFlow

The SDN controller is interfaced with the hardware of the network (i.e., with switches and routers) using OpenFlow. Basically, OpenFlow is an open interface used for configuring the forwarding tables of network switch according to the desired path derived by the SDN controller. OpenFlow enables more innovation in controller platforms and applications, and describes a solution for each frame or packet flow. OpenFlow is based on an ethernet switch with an internal flow-table and a standardized interface to add and remove flow entries of forwarding table of the system. The control mechanism from each one of the switch and router up to SDN controller are encrypted with the transport layer security (TLS) and secure socket layer (SSL) OpenFlow protocols to provide the additional security inside the network.
ENDURANCE TRAINING PROGRAMME ON HAND CYCLING PERFORMANCE

Nevin, JP, Smith, P, Waldron, M, Patterson, S, Price, M, Hunt, A, and Blagrove, R. Efficacy of an 8-week concurrent strength and endurance training programme on hand cycling performance. J Strength Cond Res XX(X): 000–000, 2018— The aim of this study was to investigate the effects of an 8-week concurrent strength and endurance training programme in comparison with endurance training only on several key determinants of hand cycling performance. Five H4 and 5 H3 classified hand cyclists with at least 1 year’s hand cycling training history con-sented to participate in the study. Subjects underwent a battery of tests to establish body mass, body composition, _ VO2peak, maximum aerobic power, gross mechanical efficiency (GME), maximal upper-body strength, and 30-km time-trial perfor-mance. Subjects were matched into pairs based on 30-km time-trial performance and randomly allocated to either a concurrent strength and endurance or endurance training only, intervention group. After an 8-week training programme based on a conjugated block periodization model, subjects com-pleted a second battery of tests. A mixed model, 2-way analysis of variance revealed no significant changes between groups. However, the calculation of effect sizes (ESs) revealed that both groups demonstrated a positive improvement in most physiological and performance measures with subjects in the concurrent group demonstrating a greater magnitude of improvement in body composition (ES 20.80 vs. 20.22), max-imal aerobic power (ES 0.97 vs. 0.28), GME (ES 0.87 vs. 0.63), bench press 1 repetition maximum (1RM) (ES 0.53 vs. 0.33), seated row 1RM (ES 1.42 vs. 0.43), and 30-km time-trial performance (ES 20.66 vs. 20.30). In comparison with endurance training only, an 8-week concurrent training intervention based on a conjugated block periodization model seems to be a more effective training regime for improving the performance capabilities of hand cyclists.
Consumption Intentions toward green restaurants: Application of theory of planned behavior and altruism

Testing 429 valid questionnaires distributed in 20 green restaurants located in Taipei, Taichung, and Kaohsiung, this study explored the intentions of consumers to dine at green restaurants based on their perceptions of green restaurant attributes and their attitudes, subjective norms, and perceived behavioral control toward green restaurants. The results of this study indicated that the perceptions of green restaurant attributes positively influenced consumers’ attitudes toward green restaurants, which in turn positively influenced their intentions to visit green restaurants. In addition, consumers’ subjective norms and perceived behavioral control both positively influenced consumption intentions regarding green restaurants. We used altruism as the moderating variable in this study. The results indicated that altruism exhibited a strong and significant influence on the relationship between attitude and consumption intentions. In order to promote green restaurants, managers must examine how the restaurant industry, government units, and academic units can contribute to enable the dining industry to meet international standards and cater to the international trends of the “chimney-free” dining industry.
Face recognition using Singular Value Decomposition and Hidden Markov Models

In this paper we present a new approach for face recognition using Singular Values Decomposition (SVD) to extract relevant face features and seven states Hidden Markov Model (HMM) as classifier. The SVDHMM system has been evaluated on two databases the Olivetti Research Laboratory (ORL) face database and YALE database. In order to gain more speed and higher recognition rate effective modifications of the original images are proposed. Key-Words: face recognition, face detection, feature extraction, classification
Liquidity, Risk and the Global Transmission of the 2007-08 Financial Crisis and the 2010-2011 Sovereign Debt Crisis

The paper analyses the transmission of liquidity shocks and risk shocks to global financial markets. Using a Global VAR methodology, the findings reveal fundamental differences in the transmission strength and pattern between the 2007-08 financial crisis and the 2010-11 sovereign debt crisis. Unlike in the former crisis, emerging market economies have become much more resilient to adverse shocks in 2010-11. Moreover, a flight-to-safety phenomenon across asset classes has become particularly strong during the 2010-11 sovereign debt crisis, with risk shocks driving down bond yields in key advanced economies. The paper relates this evolving transmission pattern to portfolio choice decisions by investors and finds that countries’sovereign rating, quality of institutions and their financial exposure are determinants of cross-country differences in the transmission. JEL Classification: E44, F3, C5.
Antioxidant Capacity and Total Phenol Contents of Bifora radians Bieb

Plants have been used in many fields including nutrition, culinary, dyeing, cosmetics and other industrial purposes; furthermore, medicinal plants are of great importance in human life. Medicinal plants have been used for treatment of various diseases as traditional medicine by mankind for centuries (1, 2). Flora of Turkey is very rich and Apiaceae family is one of the most diverse families in Turkey. Species in Apiaceae family have economic value and they have been used to treat several diseases in traditional medicine (3).
ROLE OF PTEN IN MODULATING PREVENTIVE EFFECT OF 3,4-DHPEA AGAINST OXIDATIVE STRES

Phosphate tensin homolog (PTEN) gen mutasyonuna sahip prostat kanseri (PCa) agresif hale gelebilir. Bu calismada, PCa hucre hatlarindaki PTEN mutasyonel durumunun, 3,4-dihydroxyphenyl ethanolun (3,4- DHPEA) kemopreventif etkisini degistirebilecegi ve boylece hucrelerin N,N,N′ ,N′ -Tetrakis(2- pyridylmethyl)ethylenediamine (TPEN) tarafindan olusturulan oksidatif stresi yonetme yetenegini belirledigi hipotezi ileri surulmustur. Farkli PTEN statusune sahip DU-145 (PTEN +/−), 22Rv1 (PTEN +/+) ve PC3 (PTEN −/−) insan PCa hucre hatlari 24 saat boyunca 100 µM'a kadar 3,4-DHPEA ve/veya 6,5 µM'a kadar TPEN ile muamele edildi. Muameleden sonra hucre canliliklari Cell Titer-Glo Luminescent Assay ile olculdu ve varyans analizi testi ile analiz edildi. 50 μM kadar yuksek 3,4- DHPEA uygulamasi 22Rv1 uzerinde en fazla sitotoksik etki gosterdi ve bunu DU-145 ve PC3 izledi. Benzer bir genel egilim TPEN muamelesi ile de gozlemlendi. TPEN uygulamasnda IC50 degerleri 22Rv1 icin 4.718 µM, DU145 icin 4.963 μM ve PC3 icin 5.245 μM idi. Hucrelerin IC50 dozunda TPEN ile birlikte 3,4-DHPEA ile muamelesi 3,4-DHPEA’nin yalniz uygulamasi ile ayni sekilde sitotoksisite gostermistir. 3,4-DHPEA'ya bagli herhangi bir kemopreventif koruma etkisi gozlemlenmemistir. Sonuclar oksidatif stres olusturan ajanlarin PTEN statusune bagli olduklari hipotezi ile ortusmektedir. Bu, wild tip PTEN iceren 22Rv1’in 3,4-DHPEA'ya karsi en buyuk duyarliligi gostermesi ile tutarlidir.
New Dimensions in Reaction Dynamics and Electronic Structure

The traditional functions of a Faraday Discussion: ‘to celebrate, to elucidate and to debate’, have again been amply fulfilled! I am grateful for the opportunity to give the customary benediction, on behalf of our newly inspired but now very tired clan. I welcome also this chance to express my own thanks for memorable meetings that over a span of more than thirty years have punctuated and accentuated the development of reaction dynamics. Fig. 1 indicates the series of Discussions most directly antecedent to this one, each specified by year and site. This is the Golden Jubilee of the 1937 meeting at Manchester; it was the first on Reaction Kinetics and featured papers on potential-energy surfaces and transition-state theory by Henry Eyring, Michael Polanyi and Eugene Wigner. Also especially pertinent are the 1954 and 1979 meetings, both held here at Birmingham. I was still an undergraduate in 1954, but remember the excitement of my mentor in chemical kinetics, Harold Johnston, when he was invited to present a paper. A couple of years later, as a graduate student, I was intrigued to discover in the discussion volume the remarkable paper by Bull and Moon. This paper (which has notable neighbours, including contributions by Kistiakowsky, Norrish, Porter, Eigen . . . ) described the bombardment of Cs vapour by a pulsed, accelerated CCl, beam swatted by a high-speed rotor. My first Faraday Discussion came in 1962 at Cambridge, where I especially enjoyed talking with John Polanyi about molecular rotors in reactions. After five subsequent Discussions, we are both still spiraling about with high angular momentum! At the 1979 meeting, the Silver Jubilee of his swatting paper, I had the pleasure of meeting Prof. Moon and presenting work by Riley and Siska on alkali metal+CCl, reactions which quantitatively confirmed his results. This also revealed rainbow structure in the product angle and energy distributions which indicated that the dynamics ‘involve spinning and swatting, much as in the apparatus of Bull and Moon’. We are delighted that Prof. Moon is again with us. Knowing his fondness for versifying levity as well as levitating rotors, I want to offer these lines to renew our thanks for his bold experiment, literally the stuff that fables are spun of:
Characteristics of Slope Failure Induced by the Mid Niigata Prefecture Earthquake and the Snow Melting after the Snow Term

The Mid Niigata Prefecture Earthquake (Chuetsu Earthquake) on October 23, 2004 caused multiple landslides and slope failures in the Chuetsu region of Niigata Prefecture, particularly in the vicinity of the Imo River and its tributaries. The Chuetsu region is located in a heavy snowfall area, and shortly after the earthquake there were heavy snowfalls, which raised concerns of landslides and slope failures when the snow subsequently melted. The aim of this study was to investigate sediment yield by slope failures (excluding landslides and minor surface exfoliation) associated with the Chuetsu Earthquake and subsequent rainfall and snow melt in the Imo River basin region. The characteristics of slope failure by the earthquake and melting of snow were subject to quantitative analysis by comparing aerial photographs with laser profiler data in each unit basin area. There was little slope failure before the earthquake. However, the statistics show 1,419 slope failures (covering a total area of nearly 1,480,000 m) caused by the earthquake in the Imo River basin, and another 1,448 slope failures (nearly 440,000 m) by subsequent melting of snow. The majority of slope failures caused by the earthquake occurred at the top of ridge-type and parallel-type slopes. In the snow-thawing season, however, collapses also occurred in valley-shaped slopes as well as ridge-type and parallel-type slopes. There were a significant number of spreading collapses in the head or side part of slope failures caused by the earthquake. Slope failures caused by the earthquake accounted for 3.9% of the total land area of the Imo River basin, while slope failures caused by snow accounted for 1.2%. Unit basins with a high area of slope failures caused by earthquake tended to be a high area of slope failures caused by snow melting, and typically had a geological composition of sand or sand alternating with mud.