Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Putative Phosphatidylserine-Interactive Residues of Tissue Factor on Its Coagulant Activity at the Cell Surface

Exposure of phosphatidylserine (PS) on the outer leaflet of the cell membrane is thought to play a critical role in tissue factor (TF) decryption. Recent molecular dynamics simulation studies suggested that the TF ectodomain may directly interact with PS. To investigate the potential role of TF direct interaction with the cell surface phospholipids on basal TF activity and the enhanced TF activity following the decryption, one or all of the putative PS-interactive residues in the TF ectodomain were mutated and tested for their coagulant activity in cell systems. Out of the 9 selected TF mutants, five of them -TFS160A, TFS161A, TFS162A, TFK165A, and TFD180A- exhibited a similar TF coagulant activity to that of the wild-type TF. The specific activity of three mutants, TFK159A, TFS163A, and TFK166A, was reduced substantially. Mutation of the glycine residue at the position 164 markedly abrogated the TF coagulant activity, resulting in ~90% inhibition. Mutation of all nine lipid binding residues together did not further decrease the activity of TF compared to TFG164A. A similar fold increase in TF activity was observed in wild-type TF and all TF mutants following the treatment of THP-1 cells with either calcium ionomycin or HgCl2, two agents that are commonly used to decrypt TF. Overall, our data show that a few select TF residues that are implicated in interacting with PS contribute to the TF coagulant activity at the cell surface. However, our data also indicate that TF regions outside of the putative lipid binding region may also contribute to PS-dependent decryption of TF.
Synthetic data sets with non-constant substitution patterns for fare class choice

The article provides a theoretical framework for the generation of synthetic discrete choice datasets for fare class choice in airline revenue management. The necessity of this research arises from simplifying assumptions regarding demand modeling that are commonly made in airline revenue management optimization models. By applying demand models with more flexible substitution patterns, like the Nested Logit (NL) model, it is possible to account for dependencies between offered fare products and their influence on airline revenue. (A)
An Extensible Action Architecture for Planning in Complex Domains

Planning in complex domains, including temporal and resource planning, often requires an expressive and flexible model of actions. For example, in a rover domain, the energy of the rover, a bottleneck resource, is consumed at a high rate while performing a drive action and in proportion to the distance traversed. Based on the current energy levels, the planning system can adapt the distance traversed due to the drive actions in order to best achieve its goals, i.e., if more energy is left, drive actions can be prolonged. To handle such domains, we consider an expressive model of actions containing variables (to denote, e.g., the energy consumed and the distance traversed within a drive action), and relations between the variables (e.g., the energy consumed is proportional to the distance traversed). We call these relations Action Component Relations (ACRs). ACRs may also be relations involving structures such as the conditions, effects, actuator tasks, etc., of the action, and other complex values (e.g., an ACR containing a set of temporal relations between the actuator tasks in a job-shop-scheduling domain). For efficient search, ACRs are optionally accompanied with pluggable domain-specific heuristics. In our extensible architecture, a programmer can easily add new kinds of ACRs. Finally, we present the use of ACRs in a story-planning domain for computer games. While our action specification model is generally applicable, our planning architecture is specific to utilize local-search-based planning.
A polynomial kernel for Block Graph Vertex Deletion

In the Block Graph Deletion problem, we are given a graph $G$ on $n$ vertices and a positive integer $k$, and the objective is to check whether it is possible to delete at most $k$ vertices from $G$ to make it a block graph, i.e., a graph in which each block is a clique. In this paper, we obtain a kernel with $\mathcal{O}(k^{6})$ vertices for the Block Graph Deletion problem. This is a first step to investigate polynomial kernels for deletion problems into non-trivial classes of graphs of bounded rank-width, but unbounded tree-width. Our result also implies that Chordal Vertex Deletion admits a polynomial-size kernel on diamond-free graphs. For the kernelization and its analysis, we introduce the notion of `complete degree' of a vertex. We believe that the underlying idea can be potentially applied to other problems. We also prove that the Block Graph Deletion problem can be solved in time $10^{k}\cdot n^{\mathcal{O}(1)}$.
ICA-Based Improved DTCWT Technique for MA Reduction in PPG Signals With Restored Respiratory Information

In addition to estimation of arterial blood oxygen saturation (SpO2), pulse oximeter's photoplethysmographic (PPG) signals can be well utilized for extracting the vital respiratory information. The motion artifacts (MA) in PPGs not only make SpO2 estimations unreliable and inaccurate but also make it difficult to extract respiratory information. Addressing this issue, for the first time, we propose a novel approach called “ICA-based improved dual-tree complex wavelet transform (I2DTCWT)” technique, for efficient reduction of MAs leaving the respiratory information undisturbed. The method makes use of source separation ability of independent component analysis (ICA) along with computationally efficient modified DTCWT processing. A prototype pulse oximeter was developed and performance analysis of DTCWT, modified DTCWT and I2DTCWT processing methods was carried out using PPG data recorded with intentionally created MAs (horizontal MA, vertical MA, and bending MA). Experimental results demonstrated the efficiency of DTCWT processing methods in restoring PPG morphology and proved that there is a significant improvement guaranteed in reducing MAs with the presented methods. Statistical performance is evaluated in terms of measures like signal-to-noise ratio, normalized root mean square error, and correlation analysis with correlation co-efficient measure. The I2DTCWT outperformed other DTCWT processing methods in respect of MA reduction and the computed spectra revealed that safe extraction of respiratory information is guaranteed from these MA reduced PPGs. The proposed method is also validated by comparing with the well established signal extraction technology of MASIMO pulse oximeters, for which the discrete saturation transform (DST) is the key element. The %SpO2 estimations from processed PPGs by the proposed method closely followed the estimations based on DST and were very close to that of clean sections of PPG. In addition, the proposed method resulted in less computation cost compared to the MASIMO SET. Digital volume pulse waveform contour analysis is also performed on MA reduced PPGs to validate PPG morphology and the conventional parameters are calculated for assessing the arterial stiffness.
Science and technology interactions discovered with a new topographic map-based visualization tool

A new tool for discovering and visualizing interactions between scientific publication domains and industrial patent domains is introduced. The tool is applied to a database of the United States patent data (USPTO) from 1980 till 1995 and the Science Citation Index (SCI) bibliographic databases. The core algorithm behind our tool is the kernel-based Maximum Entropy Rule (kMER), a learning scheme for developing topographic maps of formal neurons. The Gaussian kernels that correspond to each neuron are used for constructing a density map on which a hillclimbing algorithm is applied for locating and visualizing clusters in the topographic map. For each set of clustered data, a new topographic map is developed, and so on. A new method is introduced in order to visualize this hierarchical structure into a single condensed cluster map. The procedure is applied to patent and bibliographic data separately in order to build two hierarchical structures: one containing clusters of technology classes and the other clusters of science classes. The two data structures are then merged into a single (pseudo-)colored linkage map, colored by the co-occurrences of patents and the scientific publications referred in them. Various zooming facilities are available for visual inspection. After the linkage map for a particular time period is developed, data from other consecutive time periods can be projected onto the map in order to monitor the evolution of the interactions. Finally, in order to quantify the dynamics of the interaction, structural equation modeling, a causal modeling technique, is applied to the most significant co-occurrences in the linkage map.
Ancestral Polymorphisms and Sex-Biased Migration Shaped the Demographic History of Brown Bears and Polar Bears

Recent studies have reported discordant gene trees in the evolution of brown bears and polar bears. Genealogical histories are different among independent nuclear loci and between biparentally inherited autosomal DNA (aDNA) and matrilineal mitochondrial DNA (mtDNA). Based on multi-locus genomic sequences from aDNA and mtDNA, we inferred the population demography of brown and polar bears and found that brown bears have 6 times (aDNA) or more than 14 times (mtDNA) larger population sizes than polar bears and that polar bear lineage is derived from within brown bear diversity. In brown bears, the effective population size ratio of mtDNA to aDNA was at least 0.62, which deviated from the expected value of 0.25, suggesting matriarchal population due to female philopatry and male-biased migration. These results emphasize that ancestral polymorphisms and sex-biased migration may have contributed to conflicting branching patterns in brown and polar bears across aDNA genes and mtDNA.
The troubled triangle : economic and security concerns for the United States, Japan, and China

1. Introductory Takashi Inoguchi and G. John Ikenberry 2. East Asia and Liberal International Order: Hegemony, Balance, and Consent in the Shaping of East Asian Regional Order G. John Ikenberry 3. Japan's Foreign Policy Line after the Cold War Takashi Inoguchi 4. Peaceful Rise, Multipolarity and China's Foreign Policy Line Zhongqi Pan and Zhimin Chen 5. Japan's U.S. Policy under DPJ and Its Domestic Background: Still Recovering from the Unarticulated 'Changes' Yoichiro Sato 6. China' United States policy and its domestic backgrounds Jia Qingguo 7. Sibling Rivalry? Domestic Politics and the US-Japan Alliance David Leheny 8. China's Japan Policy and its Domestic Background Liu Jiangyong 9. Japan, China and the American 'Pivot': A Triangular Analysis Lowell Dittmer 10. Japanese policy toward China Emi Mifune
Semantic annotation of the French media dialog corpus

The French Technolangue M EDIA -E VALDA project aims to evaluate spoken understanding approaches. This paper describes the semantic annotation scheme of a common dialog corpus which will be used for developing and evaluating spoken understanding models and for linguistic studies. A common semantic representation has been formalized and agreed upon by the consortium. Each utterance is divided into semantic segments and each segment is annotated with a 5-tuplet containing the mode, attribute name representing the underlying concept, normalized form of the attribute, list of related segments, and an optional comment about the annotation. Periodic inter-annotator agreement studies demonstrate that the annotation are of good quality, with an agreement of almost 90% on mode and attribute identiﬁcation. An analysis of the semantic content of 12292 annotated client utterances shows that only 14.1% of the observed attributes are domain-dependent and that the semantic dictionary ensures a good coverage of the task.
Real-Time Imaging of Amygdalar Network Dynamics In Vitro Reveals a Neurophysiological Link to Behavior in a Mouse Model of Extremes in Trait Anxiety

In humans and numerous other mammalian species, individuals considerably vary in their level of trait anxiety. This well known phenomenon is closely related to the etiology of several psychiatric disorders, but its neurophysiological basis remains poorly understood. Here, we applied voltage-sensitive dye imaging to brain slices from animals of the high (HAB), normal (NAB), and low (LAB) trait anxiety mouse model and investigated whether evoked neuronal activity propagations from the lateral (LA) to the central (CeA) amygdala differ in their relative strength among HAB, NAB, and LAB mice. For this purpose, we divided a real-time measure of neuronal population activity in the CeA by a respective measure obtained for the LA. This calculation yielded the metric “CeA/LA activity. ” Our data clearly demonstrate a positive correlation between trait anxiety levels evaluated by the elevated plus-maze test and CeA/LA activity. Moreover, we found reduced CeA/LA activity in HAB mice, which responded with decreased anxiety levels to an environmental enrichment and, inversely, detected increased anxiety levels and CeA/LA activity in LAB mice that experienced chronic mild stress. We did not observe differences in the spread of neuronal activity in the motor and visual cortex among HAB, NAB, and LAB animals. Collectively, these findings provide evidence that, in mammals, interindividual variability in trait anxiety is causally linked to individual variations in the physiological constitution of the LA-to-CeA circuitry that give rise to a differential regulation of neuronal signal flow through this fundamental input–output network of the amygdala.
Relationship of Class-Size to Classroom Processes, Teacher Satisfaction and Pupil Affect: A Meta-Analysis.

Smith, Mary Lee; Glass, Gene V. Relationship of Class-Size to Classroom Processes, Teacher Satisfaction and Pupil Affect: A Meta-Analysis. Far West Lab. for Educational Research and Development, San Francisco, Calif. National Inst. of Education (DHEW, Washington, D.C. Jul 79 81p.: Por a related document see ED 168 129. Some pages may be marginally legible due to broken print. Order Department, Far West Laboratory for Educational Research and Development, 1855 Folsom Street, San Francisco, CA 94103 ($5.50).
Significant Reductions in Mortality in Hospitalized Patients with Systemic Lupus Erythematosus in Washington State from 2003 to 2011

Background Systemic lupus erythematosus (SLE or lupus) is an autoimmune multisystem disease. While a complete understanding of lupus’ origins, mechanisms, and progression is not yet available, a number of studies have demonstrated correlations between disease prevalence and severity, gender, and race. There have been few population based studies in the United States Objectives To assess temporal changes in demographics and hospital mortality of patients with lupus in Washington State from 2003 to 2011 Study Design This study used data from the Healthcare Cost and Utilization Project (HCUP), a patient information database, and data from the Washington State census to study a group of patients in the state. Lupus hospitalizations were defined as any hospitalization with an ICD-9-CM diagnosis code for systemic lupus erythematosus. Regression analysis was used to assess the effect of calendar time on demographics and hospital outcomes. Results There were a total of 18,905 patients in this study with a diagnostic code for lupus. The mean age of the group was 51.5 years (95% CI: 50.6-52.3) in 2003 and 51.3 years (95% CI: 50.6-52.0) in 2011. The population was 88.6% female. Blacks were 2.8 times more likely to have a lupus hospitalization than whites when compared to the Washington population. While hospital mortality decreased during this eight year period (3.12% in 2003 to 1.28% in 2011, p=0.001) hospital length of stay remained statistically unchanged at an average of 4.9 days during that eight year period. We found a significant decrease in annual hospital mortality over the study period [odds ratio(OR): 0.92 per year, 95% CI 0.88-0.96, P<0.001]. Hospital mortality was higher in males (2.6% male death to 1.8% female death) Conclusions In this large group of hospitalized lupus patients in Washington, hospital length of stay remained relatively stable over time but hospital mortality decreased by over 50% over the eight year study period.
A Distributed Stylization Mechanism for Line Extraction Process of a 2D Image

In this paper, we propose a distributed rendering mechanism for image data using multiple servers. Since line extractio n of large images requires high computation overhead to render an image, a client divides it into several image pieces. Each piece is sent to a different server, which then performs the rendering. A client then merges the rendered pieces into one output image. The proposed method enables large image data to be rendered by a collaboration of multiple servers with reasonable processing and communication cost.
Peer-group mentoring for teacher development

I Peer-Group Mentoring and Work-Based Learning in the Teaching Profession 1. Teacher Education and Development as Lifelong and Lifewide Learning Hannu L.T. Heikkinen Paivi Tynjala and Hannu Jokinen 2. Peer-Group Mentoring and the Culture of Teacher Education in Finland Hannu L.T. Heikkinen and Jouni Valijarvi II Empirical Studies on Peer-Group Mentoring 3. The First Years as a Teacher Eila Estola, Leena Syrjala & Tuuli Maunu 4. Mentoring as Sustainable School Development Peter Johnson & Suvi Alamaa 5. Individual and Social Meanings of Mentoring Anu Hiltula, Leena Isosomppi, Hannu Jokinen & Anu Oksakari 6. Diverse Landscapes of Mentoring Paivi Maki 7. Peer-group Mentoring in the Context of Transforming Local Administration Helena Rajakaltio & Eija Syrjalainen 8. Multiprofessional Mentoring Groups in Vocational School Minna Ahokas 9. Experiences of PGM in Homogeneous and Heterogeneous Groups Maria Lahdenmaa & Hannu L.T. Heikkinen 10. Diversity of Mentoring Leena Syrjala & Eila Estola 11. Group as a Context for Peer-Group Mentoring Saara-Leena Kaunisto, Eila Estola & Raimo Niemisto 12. Keys to Success Sini Teerikorpi & Hannu L.T. Heikkinen III Towards Collegial Learning 13. Future Challenges Paivi Tynjala, Hannu L.T. Heikkinen & Hannu Jokinen 14. Peer-Group Mentoring and the Practices of Teacher Induction Hannu L.T. Heikkinen and Stephen Kemmis 15. International comparisons and future trends Paivi Tynjala
Desorption from interstellar ices

The desorption of molecular species from ice mantles back into the gas phase in molecular clouds results from a variety of very poorly understood processes. We have investigated three mechanisms: desorption resulting from H2 formation on grains, direct cosmic ray heating and cosmic ray-induced photodesorption. Whilst qualitative differences exist between these processes (essentially deriving from the assumptions concerning the species selectivity of the desorption and the assumed threshold adsorption energies, Et), all the three processes are found to be potentially very significant in dark cloud conditions. It is therefore important that all three mechanisms should be considered in studies of molecular clouds in which freeze-out and desorption are believed to be important. Employing a chemical model of a typical static molecular core and using likely estimates for the quantum yields of the three processes, we find that desorption by H2 formation probably dominates over the other two mechanisms. However, the physics of the desorption processes and the nature of the dust grains and ice mantles are very poorly constrained. We therefore conclude that the best approach is to set empirical constraints on the desorption, based on observed molecular depletions – rather than try to establish the desorption efficiencies from purely theoretical considerations. Applying this method to one such object (L16 89B) yields upper limits to the desorption efficiencies that are consistent with our understanding of these mechanisms.
The Integrable Dynamics of Discrete and Continuous Curves

We show that the following geometric properties of the motion of discrete and continuous curves select integrable dynamics: i) the motion of the curve takes place in the N dimensional sphere of radius R, ii) the curve does not stretch during the motion, iii) the equations of the dynamics do not depend explicitly on the radius of the sphere. Well known examples of integrable evolution equations, like the nonlinear Schroedinger and the sine-Gordon equations, as well as their discrete analogues, are derived in this general framework.
Simulation of 3D cloud point from disparity map of stereo image

In recent days 3D images are more used for analysis of distance using stereoscopic techniques. In general these images were enhanced to illusion of depth information for an image. Mathematically single image based perception unable to deliver the depth information and at the same time the stereo pair can be processed to deliver these parameters. The forth ground and background can be extracted without affecting the other side by obtaining the disparity map for the stereo image. For that image completion or enhancement depth based patch scaling is preferred. 3D cloud point applied here helps us to calculate the parameters like depth from the ground point and height from the ground point.
Networked Predictive Control Systems Based on the Hammerstein Model

In this paper, a novel predictive control-based approach is proposed for a networked control system with random delays containing an input nonlinear process based on a Hammerstein model. The method uses a time-delay two-step generalized predictive control scheme, which consists of two parts: one is to deal with the input nonlinearity of the Hammerstein model and the other is to compensate for the network-induced delay in the networked control system. A theoretical result using the Popov criterion is presented for the closed-loop stability of the system in the case of a constant delay. Simulation examples illustrating the validity of the approach are also presented.
The Open University ’ s repository of research publications and other research outputs Optimising Network Control Traffic in Resource Constrained MANETS Conference Item

The exchange of Network State Beacons (NSBs) is crucial to monitoring the dynamic state of MANETs like sensor networks. The rate of beacon exchange (FX) and the network state define both the time and nature of a proactive action to reconfigure the network in order to combat network performance degradation at a time of crisis. It is thus essential to select the FX within optimized bounds, so that minimal control traffic is incurred due to state maintenance and reconfiguration activities. This paper presents a novel distributed model that selects optimized bounds for FX selection and adapts dynamically to the load profile of the network for energy efficient monitoring and proactive reconfiguration. KeywordsHigh Density Ad-hoc Networks, Self Configuration, Distributed Adaptive Optimization, Beacon Exchange Rate
Individual and collective stock dynamics: intra-day seasonalities

We establish several new stylized facts concerning the intra-day seasonalities of stock dynamics. Beyond the well-known U-shaped pattern of the volatility, we find that the average correlation between stocks increases throughout the day, leading to a smaller relative dispersion between stocks. Somewhat paradoxically, the kurtosis (a measure of volatility surprises) reaches a minimum at the open of the market, when the volatility is at its peak. We confirm that the dispersion kurtosis is a markedly decreasing function of the index return. This means that during large market swings, the idiosyncratic component of the stock dynamics becomes sub-dominant. In a nutshell, the early hours of trading are dominated by idiosyncratic or sector-specific effects with little surprises, whereas the influence of the market factor increases throughout the day, and surprises become more frequent.