Miracle-dz/UniFAR-FTUs huggingface dataset:
Time-resolved spectroscopy of the pulsating CV GW Lib

We present time-resolved optical spectroscopy of the dwarf nova GW Librae during its rare 2007 April superoutburst and compare these with quiescent epochs. The data provide the first opportunity to track the evolution of the principal spectral features. In the early stages of the outburst, the optically thick disc dominates the optical and the line components show clear orbital radial velocity excursions. In the course of several weeks, optically thin regions become more prominent as strong emission lines replace the broad disc absorption. Post-outburst spectroscopy covering the I band illustrates the advantages of Ca II relative to the commonly used Balmer lines when attempting to constrain binary parameters. Due to the lower ionization energy combined with smaller thermal and shear broadening of these lines, a sharp emission component is seen to be moving in between the accretion disc peaks in the Ca II line. No such component is visible in the Balmer lines. We interpret this as an emission component originating on the hitherto unseen mass donor star. This emission component has a mean velocity of similar to -15 +/- 5 km s(-1) which is associated with the systemic velocity. , and a velocity semi-amplitude of K-em = 82.2 +/- 4.9 km s(-1). Doppler tomography reveals an asymmetric accretion disc, with the S-wave mapping to a sharp spot in the tomogram with a velocity consistent to what is obtained with line profile fitting. A centre of symmetry analysis of the disc component suggests a very small value for the WD orbital velocity K-1 as is also inferred from double Gaussian fits to the spectral lines. While our conservative dynamical limits place a hard upper limit on the binary mass ratio of q < 0.23, we favour a significantly lower value near q similar to 0.06. Pulsation modelling suggests a white dwarf mass similar to 1 M-circle dot. This, paired with a low-mass donor, near the empirical sequence of an evolved cataclysmic variable close to the period bounce, appears to be consistent with all the observational constraints to date.
ICT USE TO IMPROVE MATHEMATICS LEARNING IN SECONDARY SCHOOLS

Today’s students are expected to learn about and use digital-technology in mathematics to prepare them for their future, the work force and the challenges of everyday life. However, international studies show that secondary mathematics teachers are still not effectively integrating computer technology in their classroom. This paper presents the findings from a doctoral study on the extent to which mathematics teachers in government high schools in New South Wales, Australia have integrated computer technology into their teaching. The sample contained 114 mathematics teachers from 26 public secondary schools in New South Wales, Australia. A statistical model, logistic regression analysis was used to examine mathematics teachers’ beliefs, attitudes, knowledge (use of software packages; professional development experiences and needs in computer technology) and factors that encourage or hinder the use and not use of computers in the classroom. The findings of the study indicate that the strongest predictors that are positively associated with computer use are training on EXCEL and the need for ongoing support for the inclusion of technology in mathematics teaching. This paper concludes with recommendations as to how school leaders can support mathematics teachers to fully adopt computer technology use in teaching and learning.
Use of the SVM Classification with Polarimetric SAR Data for Land Use Cartography

Yhis study comes within the framework of the global cartography and inventory of the Polynesian landscape. An AIRSAR airborne acquired fully polarimettric data in L and P bands, in August 2000, over the main Polynesian Islands. This study focuses on Tubuai Island, where several ground surveys allow the validation of the different results. Different decompositions, such as H/A/alpha , or based on the Pauli formalism have shown their potential for land use discrimination. In order to take into account these different parameters into a supervised classification scheme, the SVM (Support Vector Machine) method is investigated. When dealing with only the coherent matrix elements, the results show that the SVM classification gives comparative results to those obtain with Wishart classification. Results are significantly improved when adding to the coherent matrix elements, other polarimetric parameters, as H/A/alpha or the co-polarized circular polarization correlation coefficient, rhorrll, for the Support Vector definition. Finally the best results are given when merging all the parameters for P and L bands, in addition to the only VV single channel acquired in C band.
Not‐for‐profit supply chains in interrupted environments

Purpose – This paper primarily aims to address the following research question: Are techniques and practices developed for uninterrupted, for‐profit supply chains adaptable to the not‐for‐profit (NFP), interrupted context? In other words, can the managerial tools of business logistics be used in humanitarian relief logistics? Design/methodology/approach – A combination of grounded research and case‐based research methods is used. Grounded research methods involve coding interview data to enable constant comparison of the data with emerging categories. Three managerial representatives of a single case organisation, the Mennonite Central Committee (MCC), are interviewed.Findings – MCC is a small NFP organisation operating in interrupted environments. As a matter of strategy, it pursues economic and social objectives. Strategic partnerships with “like‐minded” organisations are critical to achieve these objectives. To assess its achievements, MCC needs a wide range of performance measures.Research limitations/.
Molecular diagnostics of gliomas.

CONTEXT Gliomas are the most common primary brain tumors of adults and include a variety of histologic types and morphologies. Histologic evaluation remains the gold standard for glioma diagnosis; however, diagnostic difficulty may arise from tumor heterogeneity, overlapping morphologic features, and tumor sampling. Recently, our knowledge about the genetics of these tumors has expanded, and new molecular markers have been developed. Some of these markers have shown diagnostic value, whereas others are useful prognosticators for patient survival and therapeutic response. OBJECTIVE To review the most clinically useful molecular markers and their detection techniques in gliomas. DATA SOURCES Review of the pertinent literature and personal experience with the molecular testing in gliomas. CONCLUSIONS This article provides an overview of the most common molecular markers in neurooncology, including 1p/19q codeletion in oligodendroglial tumors, mutations in the isocitrate dehydrogenase 1 and 2 genes in diffuse gliomas, hypermethylation of the O(6)-methylguanine-DNA methyltransferase gene promoter in glioblastomas and anaplastic gliomas, alterations in the epidermal growth factor receptor and phosphatase and tensin homolog genes in high-grade gliomas, as well as BRAF alterations in pilocytic astrocytomas. Molecular testing of gliomas is increasingly used in routine clinical practice and requires that neuropathologists be familiar with these genetic markers and the molecular diagnostic techniques for their detection.
Towards " Natural " Interactions in Search User Interfaces

Key Trends in Technology Use What does the future hold for search user interfaces? The familiar web search interface of today works well for millions of people and billions of queries a year. Very few innovations in search interfaces gain wide enough acceptance to replace the standard type-keywords-in-entry-form, viewresults-in-a-vertical-results-list interface. This is in part because search is a means toward another end, and reading text is a mentally demanding task; the fewer distractions while reading, the more usable the interface. Additionaly, search, like email, is used by nearly everyone who uses the Web, and so its features and functions must be understandable to an enormous and diverse range of people [14].
Metabolism of neoplastic tissues. XI. Absorption and oxidation of dietary fatty acids by implanted tumors.

Summary Palmitic acid-1-C 14 was fed by stomach tube in olive oil to mice bearing a variety of transplanted tumors. After various intervals, fatty acids were recovered from tumor, liver, internal organs, and muscle, and were assayed for radioactivity. Most of the ingested radioactivity was excreted as CO 2 during the first 24 hours. Uptake was most active in liver, reaching a peak in 6 hours, at which time the relative specific activity of the fatty acids was 5–20 times that of the tumor fatty acids. The behavior of tumors, both solid and ascites, in general resembled that of the internal organs and muscle. Dietary fatty acids were incorporated relatively slowly, reaching a peak in 48–72 hours. Various transplanted tumors, with fatty acids thus labeled in vivo , when sliced and allowed to respire in vitro , released CO 2 during respiration with specific activity in the same range as their fatty acids. It is concluded that tumors accept dietary fatty acids from their hosts and utilize these as a metabolic fuel for energy purposes.
Computation of conservation laws for nonlinear lattices 1

An algorithm to compute polynomial conserved densities of polynomial nonlinear lattices is presented. The algorithm is implemented in Mathematica and can be used as an automated integrability test. With the code diffdens.m, conserved densities are obtained for several well-known lattice equations. For systems with parameters, the code allows one to determine the conditions on these parameters so that a sequence of conservation laws exist.
Ownership and Control in a Competitive Industry

We study a differentiated product market in which an investor initially owns a controlling stake in one of two competing firms and may acquire a non-controlling or a controlling stake in a competitor, either directly using her own assets, or indirectly via the controlled firm. While industry profits are maximized within a symmetric two product monopoly, the investor attains this only in exceptional cases. Instead, she sometimes acquires a noncontrolling stake. Or she invests asymmetrically rather than pursuing a full takeover if she acquires a controlling one. Generally, she invests indirectly if she only wants to affect the product market outcome, and directly if acquiring shares is profitable per se.
Comparison of Features for Movement Prediction from Single-Trial Movement-Related Cortical Potentials in Healthy Subjects and Stroke Patients

Detection of movement intention from the movement-related cortical potential (MRCP) derived from the electroencephalogram (EEG) signals has shown to be important in combination with assistive devices for effective neurofeedback in rehabilitation. In this study, we compare time and frequency domain features to detect movement intention from EEG signals prior to movement execution. Data were recoded from 24 able-bodied subjects, 12 performing real movements, and 12 performing imaginary movements. Furthermore, six stroke patients with lower limb paresis were included. Temporal and spectral features were investigated in combination with linear discriminant analysis and compared with template matching. The results showed that spectral features were best suited for differentiating between movement intention and noise across different tasks. The ensemble average across tasks when using spectral features was (error = 3.4 ± 0.8%, sensitivity = 97.2 ± 0.9%, and specificity = 97 ± 1%) significantly better (P < 0.01) than temporal features (error = 15 ± 1.4%, sensitivity: 85 ± 1.3%, and specificity: 84 ± 2%). The proposed approach also (error = 3.4 ± 0.8%) outperformed template matching (error = 26.9 ± 2.3%) significantly (P > 0.001). Results imply that frequency information is important for detecting movement intention, which is promising for the application of this approach to provide patient-driven real-time neurofeedback.
Leveraging social media to gather user feedback for software development

Social media is impacting the way service offerings are deployed and delivered. Several social media service offerings have emerged in the past few years (e.g., Facebook, Twitter, LinkedIn). At the same time, more traditional kinds of service offerings are finding creative ways of making use of social media techniques (e.g., Dell Community). In this research, we analyze how software companies are finding ways to use social media techniques to gather feedback from users collectively. The following four factors and the way they influence the use of social media are analyzed in depth: company size, transparency, software deployment, and number of social media tools in use. Results of our analysis of software vendors that gather collective user feedback in this way are presented, concluding with a discussion on which attributes influence the way social media is used for collecting user feedback.
The Measurement of Inequality, Concentration and Diversification

The Lorenz curve and Gini coefficient are typically used to measure inequality. A different way to measure inequality is introduced here: I = CN, the product of concentration and number of units. The resultant index can be interpreted with reference to an inequality base where one unit owns all and the rest nothing. This inequality index also integrates the measurement of inequality, concentration, and diversification into one system, where diversification is measured as the inverse of concentration. I = CN accommodates various measures of concentration, including the Herfindahl-Hirschman and Tideman-Hall indexes. The Tideman-Hall concentration index also provides indexes of concentration, diversification and inequality as functions of Gini. As one application, the inequality index can be used to provide an index of economic development.
On transformations in financing structure in an affluent society

The savings measures of private households currently exceed the limited financing needs of companies around the world, and the difference is reflected in an increase in sovereign debt. In the EU, over the last two and a half decades non-financial corporations recorded funding surpluses in one out of three years, and in the more affluent EU countries (EU 15) this was even recorded every second year. There is much to indicate that this is not just a result of the financial crisis, but is also globally founded in the Southeast Asian economic model, while in Europe this is a symptom of the affluence of society, as financial security takes on greater significance and slower growth requires fewer investments. Economic policy should therefore be prepared for the current situation to persist; without counter-measures there would have to be a recessive adjustment of savings capacity to the debt preparedness of the economy and state. In these countries, worldwide distortions primarily based in Southeast Asian, exportbased economic policy can only be counter-balanced with a stronger domestic-market-oriented policy and significant appreciation (the task of the dollar peg). Such initiatives exist, but given the scale of the problem, a long transitional phase is to be expected. In the EU, a broad and well-balanced package of measures is required. It would have to dampen austerity through confidence building, in addition to improving corporate finance and reviving severely limited investments in the public sector. Furthermore, particularly in those countries in which the financing and use of sovereign debt do not present a problem, there should be a re-introduction of the previously typical division into a surplus-achieving budget for current expenditures and a budget for investments. This would enable the debt-backed financing of primarily immaterial investments within certain limits.
Antecendents of Online Group Buying Behavior: from Price Leverage and Crowd effect Perspectives

Online group buying, as a new form of e-commerce, has offered customers a great deal of promotion and convenience in shopping. Meanwhile, there are an increasing number of OGB vendors struggling in the fierce competition and extremely turbulent business environment. During 2010 and 2011, more than 2000 OGB vendors in China have been out of business or facing with bankruptcy. Therefore, study of search and purchase behavior of potential customers in online group buying is meaningful to OGB vendors. This stream of study can offer information in relating how to maintain and improve competitiveness in the market. Present study aims to conduct an empirical research on the impact on customers’ search and purchase intention in online group buying. Since little prior research has investigated the searching and purchase behavior in the context of online group buying, this research tends to fill this void by examine multiple antecedents, including products measures, vendor-related factors and individual characteristics. This paper also provides informative knowledge and contributions to both academic researchers and business practitioners.
Accuracy of Boundary Layer Temperature Profiles Retrieved With Multifrequency Multiangle Microwave Radiometry

The potential of a ground-based microwave temperature profiler to combine full tropospheric profiling with high-resolution profiling of the boundary layer is investigated. For that purpose, statistical retrieval algorithms that incorporate observations from different elevation angles and frequencies are derived from long-term radiosonde data. A simulation study shows the potential to significantly improve the retrieval performance in the lowest kilometer by combining angular information from relatively opaque channels with zenith-only information from more transparent channels. Observations by a state-of-the-art radiometer employed during the International Lindenberg campaign for assessment of humidity and cloud profiling systems and its impact on High-resolution modeling (LAUNCH) in Lindenberg, Germany, are used for an experimental evaluation with observations from a 99-m mast and radiosondes. The comparison not only reveals the high accuracy achieved by combining angular and spectral observations (overall, less than 1 K below 1.5 km), but also emphasizes the need for a realistic description of radiometer noise within the algorithm. The capability of the profiler to observe the height and strength of low-level temperature inversions is highlighted.
RSIADB, a collective resource for genome and transcriptome analyses in Rhizoctonia solani AG1 IA

Rice [Oryza sativa (L.)] feeds more than half of the world’s population. Rhizoctonia solani is a major fungal pathogen of rice causing extreme crop losses in all rice-growing regions of the world. R. solani AG1 IA is a major cause of sheath blight in rice. In this study, we constructed a comprehensive and user-friendly web-based database, RSIADB, to analyse its draft genome and transcriptome. The database was built using the genome sequence (10 489 genes) and annotation information for R. solani AG1 IA. A total of six RNAseq samples of R. solani AG1 IA were also analysed, corresponding to 10, 18, 24, 32, 48 and 72 h after infection of rice leaves. The RSIADB database enables users to search, browse, and download gene sequences for R. solani AG1 IA, and mine the data using BLAST, Sequence Extractor, Browse and Construction Diagram tools that were integrated into the database. RSIADB is an important genomic resource for scientists working with R. solani AG1 IA and will assist researchers in analysing the annotated genome and transcriptome of this pathogen. This resource will facilitate studies on gene function, pathogenesis factors and secreted proteins, as well as provide an avenue for comparative analyses of genes expressed during different stages of infection. Database URL: http://genedenovoweb.ticp. net:81/rsia/index.php
Multiscale Characteristics and Evolution of Perturbations for Warm Season Convection-Allowing Precipitation Forecasts: Dependence on Background Flow and Method of Perturbation

AbstractMultiscale convection-allowing precipitation forecast perturbations are examined for two forecasts and systematically over 34 forecasts out to 30-h lead time using Haar Wavelet decomposition. Two small-scale initial condition (IC) perturbation methods are compared to the larger-scale IC and physics perturbations in an experimental convection-allowing ensemble. For a precipitation forecast driven primarily by a synoptic-scale baroclinic disturbance, small-scale IC perturbations resulted in little precipitation forecast perturbation energy on medium and large scales, compared to larger-scale IC and physics (LGPH) perturbations after the first few forecast hours. However, for a case where forecast convection at the initial time grew upscale into a mesoscale convective system (MCS), small-scale IC and LGPH perturbations resulted in similar forecast perturbation energy on all scales after about 12 h. Small-scale IC perturbations added to LGPH increased total forecast perturbation energy for this case.
GRP78 confers the resistance to 5-FU by activating the c-Src/LSF/TS Axis in hepatocellular carcinoma

5-FU is a common first-line chemotherapeutic drug for the treatment of hepatocellular carcinoma. However the development of acquired resistance to 5-FU confines its clinical usages. Although this phenomenon has been the subject of intense investigation, the exact mechanism of acquired resistance to 5-FU remains elusive. Here, we report that over-expression of GRP78 contributes to acquired resistance to 5-FU in HCC by up-regulating the c-Src/LSF/TS axis. Moreover, we found that the resistance to 5-FU conferred by GRP78 is mediated by its ATPase domain. The ATPase domain differentially increased the expression of LSF, TS and promoted the phosphorylation of ERK and Akt. We further identified that GRP78 interacts physically with c-Src through its ATPase domain and promotes the phosphorylation of c-Src, which in turn increases the expression of LSF in the nucleus. Together, GRP78 confers the resistance to 5-FU by up-regulating the c-Src/LSF/TS axis via its ATPase domain.
MC-CDMA with Quadrature Spreading overFrequency Selective Fading

| MultiCarrier CDMA (MC-CDMA) schemes resolve the frequency selectivity in multipath fading channels and have good spectral properties. Spreading the information over many subcarriers adds exibility to the system and a redundancy between subcarriers that can be combined nicely with the derived frequency diversity out from the fading channel. In this paper the performance of a MC-CDMA scheme over frequency selective, slowly fading channels is studied analytically and by computer simulations. The MC-CDMA system uses a BPSK modulation, quadrature (complex) spreading codes, and a simple correlator receiver. Quadrature spreading codes are used to reduce the eeect of the multipath fading channel and restore some of the orthogonality losses between users. The obtained results show considerable performance improvement compared to conventional Orthogonal Frequency Division Multiplexing (OFDM) scheme and MC-CDMA schemes that use non-quadrature spreading. The effect of frequency oosets on the system performance is also addressed in this paper.