Miracle-dz/UniFAR-FTUs huggingface dataset:
High and low states of the system AM Herculis

Context. We investigate the distribution of optically high and low states of the system AM Herculis (AM Her). Aims. We determine the state duty cycles, and their relationships with the mass transfer process and binary orbital evolution of the system. Methods. We make use of the photographic plate archive of the Harvard College Observatory between 1890 and 1953 and visual observations collected by the American Association of Variable Star Observers between 1978 and 2005. We determine the statistical probability of the two states, their distribution and recurrence behaviors. Results. We find that the fractional high state duty cycle of the system AM Her is 63%. The data show no preference of timescales on which high or low states occur. However, there appears to be a pattern of long and short duty cycle alternation, suggesting that the state transitions retain memories. We assess models for the high/low states for polars (AM Her type systems). We propose that the white-dwarf magnetic field plays a key role in regulating the mass transfer rate and hence the high/low brightness states, due to variations in the magnetic-field configuration in the system.
A Novel Ultra-Low-Energy Bulk Dynamic Threshold Inverter Scheme

In this paper we propose the use of a new DTMOS scheme in sub-threshold inverters. The results indicate that this scheme can provide better power efficiency than standard sub-threshold DTMOS inverters. Furthermore, we evaluate the stability of several sub-threshold DTMOS inverter schemes to temperature variation using deep-submicron CMOS technology.
Fast, Accurate, and Validated Full-System Software Simulation of x86 Hardware

This article presents a fast and accurate interval-based CPU timing model that is easily implemented and integrated in the COTSon full-system simulation infrastructure. Validation against real x86 hardware demonstrates the timing model's accuracy. The end result is a software simulator that faithfully simulates x86 hardware at a speed in the tens of MIPS range.
Energy dissipation theories and optimal channel characteristics of river networks

The effects of energy dissipation on channel properties of a river network are explored. On the basis of a local and global hypothesis of optimality in energy expenditure, we investigate the relationships between channel hydraulic geometry, flow velocity, channel bed slope, and streamflow conditions in optimal river networks. Expressions for the rate of energy dissipation per unit channel area Pa are derived as functions of cumulative drainage area and river network parameters. Optimal channel characteristics are developed that satisfy the hypothesis of local optimality, and provide constant Pa throughout the river network. We show that these optimal channel characteristics are remarkably similar to those of many natural river systems in their downstream hydraulic geometry exponents, channel bed slope scaling, spatial distribution of average flow velocity, boundary shear, resistance to flow, etc. Optimal combinations of channel downstream hydraulic geometry and basin topography were analyzed on data from Goodwin Creek. We found ranges of optimality for the combination of the downstream hydraulic geometry exponent for width of Leopold and Maddock [1953] (0.32 < b < 0.74), and the channel bed slope scaling exponent (−0.65 < z < −0.29), and argue that river networks develop average channel properties within these ranges in order to attain constant Pa throughout the network. We propose that the hypothesis of local optimality is a central principle that explains the average behavior and adjustment of channel characteristics in natural river systems.
An analysis of vector Taylor series model compensation for non-stationary noise in speech recognition

In this paper, we investigate a feature conditioning method for the VTS-based model compensation. The VTS is a technique that predicts noisy acoustic model from clean acoustic model and noise model. It is noted that most of the previous studies use a single Gaussian noise model, which is unable to model noise statistics well, especially in non-stationary noisy environments. In this paper, we propose a combination of feature processing and VTS model compensation to handle non-stationary noise more efficiently. In the feature processing stage, the non-stationary characteristics of noise is reduced, hence the processed features is more suitable for VTS model compensation using single Gaussian noise model. Experimental analysis on the AURORA2 task shows that the proposed method has the potential to improve the performance of VTS method in non-stationary environments if good noise estimation is available.
Annotating Live Video with Tablet Computers: A Preliminary User Study

Tablet computers provide a natural support for digital annotation associated to any type of media, including live video. However, annotations of live video require real-time motion tracking, maintaining the association between annotations and moving objects, as well as interfaces that facilitate the annotation task of a live event. This work presents the initial users' feedback on a video annotator that includes two real-time trackers, Kinect and TLD, and on two annotation methods that aim to help annotating live video, "Hold and Overlay" and "Hold and Speed Up".
Synchronisation, Resonance and Reliability in Auditory Receptor Neurons

This thesis deals with the effect of resonance and synchronisation on the precision and reliability of receptor neurons. Precision of individual neurons at the periphery of a nervous system, for example sensory neurons, is very important for later stages of processing. Different forms of resonance lead to an increase of precision in a neuron. Here, we examine neuronal timing resonance: a neuron produces action potentials (spikes) with greater precision around its resonance frequency – its firing rate – than at other frequencies. By using electrophysiological experiments on auditory receptor neurons of the locust Locusta migratoria, spike responses are generated whose precision is investigated using different reliability measures. Different types of auditory stimuli and stimulus parameters are used to examine locking of the spike response to the frequency of the stimulus, and the influence this locking has on spike time reliability, phase coupling and spike jitter. By varying the stimulus amplitude, so-called Arnold tongues become visible. The most prominent effect is seen for stimulus frequencies around the average firing rate, where the width of the Arnold tongue and the values of the reliability measures increases for increasing stimulus amplitudes.
Topological multifractal in realistic networks with explain by diffusion limited aggregation mechanism

Recent studies indicate that many realistic networks exhibit novel topological structure features by self-similar. In this paper, we investigate the diffusion limited aggregation(DLA) mechanism which is used to generate topological fractal networks. Interestingly, we find that the presented model performs multi-fractal property by the application of a renormalization procedure that coarse grains the system into boxes containing nodes within a given size. Further analysis shows that many real world networks, such as WWW, scientists collaboration network, metabolic network, protein-protein interaction network and Internet in the routing level or autonomy system level, can also be characterized by multi-fractal.
Developing Intelligent Search Engines

Developers of search engines today do not only face technical problems such as designing an efficient crawler or distributing search requests among servers. Search has become a problem of identifying reliable information in an adversarial environment. Since the web is used for purposes as diverse as trade, communication, and advertisement search engines need to be able to distinguish different types of web pages. In this paper we describe some common properties of the WWW and social networks. We show one possibility of exploiting these properties for classifying web pages.
Tumor-targeted polymeric nanostructured lipid carriers with precise ratiometric control over dual-drug loading for combination therapy in non-small-cell lung cancer

Gemcitabine (GEM) and paclitaxel (PTX) are effective combination anticancer agents against non-small-cell lung cancer (NSCLC). At the present time, a main challenge of combination treatment is the precision of control that will maximize the combined effects. Here, we report a novel method to load GEM (hydrophilic) and PTX (hydrophobic) into simplex tumor-targeted nanostructured lipid carriers (NLCs) for accurate control of the ratio of the two drugs. We covalently preconjugated the dual drugs through a hydrolyzable ester linker to form drug conjugates. N-acetyl-d-glucosamine (NAG) is a glucose receptor-targeting ligand. We added NAG to the formation of NAG-NLCs. In general, synthesis of poly(6-O-methacryloyl-d-galactopyranose)–GEM/PTX (PMAGP-GEM/PTX) conjugates was demonstrated, and NAG-NLCs were prepared using emulsification and solvent evaporation. NAG-NLCs displayed sphericity with an average diameter of 120.3±1.3 nm, a low polydispersity index of 0.233±0.04, and accurate ratiometric control over the two drugs. A cytotoxicity assay showed that the NAG-NLCs had better antitumor activity on NSCLC cells than normal cells. There was an optimal ratio of the two drugs, exhibiting the best cytotoxicity and combinatorial effects among all the formulations we tested. In comparison with both the free-drug combinations and separately nanopackaged drug conjugates, PMAGP-GEM/PTX NAG-NLCs (3:1) exhibited superior synergism. Flow cytometry and confocal laser scanning microscopy showed that NAG-NLCs exhibited higher uptake efficiency in A549 cells via glucose receptor-mediated endocytosis. This combinatorial delivery system settles problems with ratiometric coloading of hydrophilic and hydrophobic drugs for tumor-targeted combination therapy to achieve maximal anticancer efficacy in NSCLC.
Spatial implementation of evolutionary multiobjective algorithms with partial Lamarckian repair for multiobjective knapsack problems

Multiobjective 0/1 knapsack problems have been frequently used as test problems for the performance evaluation of evolutionary multiobjective optimization algorithms. It has been shown that their performance on such test problems strongly depends on the choice of a repair method to transform infeasible solutions into feasible ones. We examine partial Lamarckianism where Lamarckian repair is probabilistically applied to infeasible solutions. When the Lamarckian repair is not applied to an infeasible solution, Baldwinian repair is used. We propose an island model to spatially implement the partial Lamarckianism where each island is based on either Lamarckian or Baldwinian.
Spontaneous Diabetes in Hemizygous Human Amylin Transgenic Mice That Developed Neither Islet Amyloid nor Peripheral Insulin Resistance

OBJECTIVES—We sought to 1) Determine whether soluble-misfolded amylin or insoluble-fibrillar amylin may cause or result from diabetes in human amylin transgenic mice and 2) determine the role, if any, that insulin resistance might play in these processes. RESEARCH DESIGN AND METHODS—We characterized the phenotypes of independent transgenic mouse lines that display pancreas-specific expression of human amylin or a nonaggregating homolog, [25,28,29Pro]human amylin, in an FVB/n background. RESULTS—Diabetes occurred in hemizygous human amylin transgenic mice from 6 weeks after birth. Glucose tolerance was impaired during the mid- and end-diabetic phases, in which progressive β-cell loss paralleled decreasing pancreatic and plasma insulin and amylin. Peripheral insulin resistance was absent because glucose uptake rates were equivalent in isolated soleus muscles from transgenic and control animals. Even in advanced diabetes, islets lacked amyloid deposits. In islets from nontransgenic mice, glucagon and somatostatin cells were present mainly at the periphery and insulin cells were mainly in the core; in contrast, all three cell types were distributed throughout the islet in transgenic animals. [25,28,29Pro]human amylin transgenic mice developed neither β-cell degeneration nor glucose intolerance. CONCLUSIONS—Overexpression of fibrillogenic human amylin in these human amylin transgenic mice caused β-cell degeneration and diabetes through mechanisms independent from both peripheral insulin resistance and islet amyloid. These findings are consistent with β-cell death evoked by misfolded but soluble cytotoxic species, such as those formed by human amylin in vitro.
Three-tier architecture for prototype user interface of SIA Pejabat Sanata Dharma University of Yogyakarta on mobile device

A lot of crucial academic information at Sanata Dharma University can be accessed via SIA Pejabat. Unfortunately, SIA Pejabat only runs on desktop computers or notebooks in intranet network it cannot be accessed by mobile devices). The aim of research is developing SIA Pejabat system on mobile device. The system has been developed using Prototyping methodology with Java technology and three-tier architecture on intranet network. It has also been tested by structural officers. The result from this testing was positive in that it enabled officers of Sanata Dharma University to more easily access SIA Pejabat. The result of research is officers would not be restricted to using desktop computers or notebooks in order to access SIA Pejabat, but could use mobile devices as well.
A Comparative Analysis of Particle Swarm Optimization and K-means Algorithm For Text Clustering Using Nepali Wordnet

The volume of digitized text documents on the web have been increasing rapidly. As there is huge collection of data on the web there is a need for grouping(clustering) the documents into clusters for speedy information retrieval. Clustering of documents is collection of documents into groups such that the documents within each group are similar to each other and not to documents of other groups. Quality of clustering result depends greatly on the representation of text and the clustering algorithm. This paper presents a comparative analysis of three algorithms namely K-means, Particle swarm Optimization (PSO) and hybrid PSO+K-means algorithm for clustering of text documents using WordNet. The common way of representing a text document is bag of terms. The bag of terms representation is often unsatisfactory as it does not exploit the semantics. In this paper, texts are represented in terms of synsets corresponding to a word. Bag of terms data representation of text is thus enriched with synonyms from WordNet. K-means, Particle Swarm Optimization (PSO) and hybrid PSO+K-means algorithms are applied for clustering of text in Nepali language. Experimental evaluation is performed by using intra cluster similarity and inter cluster similarity.
Subarcsecond Submillimeter Imaging of the Ultracompact H II Region G5.89-0.39

We present the first subarcsecond submillimeter images of the enigmatic ultracompact H II region (UCHII) G5.89-0.39. Observed with the SMA, the 875 μm continuum emission exhibits a shell-like morphology similar to longer wavelengths. By using images with comparable angular resolution at five frequencies obtained from the VLA archive and CARMA, we have removed the free-free component from the 875 μm image. We find five sources of dust emission: two compact warm objects (SMA1 and SMA2) along the periphery of the shell, and three additional regions further out. There is no dust emission inside the shell, supporting the picture of a dust-free cavity surrounded by high-density gas. At subarcsecond resolution, most of the molecular gas tracers encircle the UCHII region and appear to constrain its expansion. We also find G5.89-0.39 to be almost completely lacking in organic molecular line emission. The dust cores SMA1 and SMA2 exhibit compact spatial peaks in optically thin gas tracers (e.g.,34SO2), while SMA1 also coincides with 11.9 μm emission. In CO(3-2), we find a high-velocity north/south bipolar outflow centered on SMA1, aligned with infrared H2 knots, and responsible for much of the maser activity. We conclude that SMA1 is an embedded intermediate-mass protostar with an estimated luminosity of 3000 L☉ and a circumstellar mass of ≈1 M☉. Finally, we have discovered an NH3 (3,3) maser 12″ northwest of the UCHII region, coincident with a 44 GHz CH3OH maser, and possibly associated with the Brγ outflow source identified by Puga and coworkers in 2006.
The process and effect of supportive message expression and reception in online breast cancer support groups

Objective: To better understand the process and effect of social support exchanges within computer‐mediated social support (CMSS) groups for breast cancer patients, this study examines (1) the dynamic interplay between emotional support giving and receiving and (2) the relative effects of emotional support giving and receiving on patients' psychosocial health outcomes.
Non-Genomic Effects of Aldosterone on Intracellular Ion Regulation and Cell Function in the Heart

Serum aldosterone levels are often elevated in patients with heart failure and are associated with poor clinical outcomes. Aldosterone can be produced in extra-adrenal tissues including the heart, and the local increase in aldosterone exerts deleterious effects on heart structure and function. Aldosterone has 2 types of effects on intracellular ion milieu and cellular function. One is the classical genomic effect in which aldosterone combines with the intracellular mineralocorti- coid receptor, transfers to the nucleus, and stimulates synthesis of various proteins. Another is the non-genomic effect that expresses within minutes without synthesizing proteins. The non-genomic effects of aldosterone are less proved in the heart, but it has been shown that aldosterone rapidly activates Na + influxes via Na + -K + -2Cl - co-transport and Na + /H + ex- change, resulting in an increase in intracellular Na + concentration and intracellular alkalinization. These changes in intra- cellular ion milieu cause positive inotropy, cell swelling, and generation of reactive oxygen species. Thus, the non- genomic effects of aldosterone may contribute, in concert with the genomic effects, to cardiac hypertrophy, fibrosis, and remodeling. This review will discuss the experimental studies examining the mechanisms and physiological/patho- physiological relevance regarding the non-genomic effects of aldosterone in the heart.
Tactical and Strategic Information Sharing in the Supply Chain : An Empirical Analysis of EDI Exchange Between Trading Partners

This paper examines the importance of tactical and strategic information sharing between supply chain partners. Through a transaction cost economics theoretical lens, we hypothesize that greater tactical and strategic information sharing volumes are associated with greater survival of supply chain relationships. We also hypothesize that a greater ratio of strategic to tactical information sharing is associated with supply chain relationship survival. The hypotheses are tested using an original data set of 42 firms, which include 24 manufacturers, six wholesalers, and twelve retailers. We find support for the two hypotheses that associate tactical and strategic information sharing with relationship survival.
The Effect of Loneliness at Work and Work Stress on Work Alienation and Work Alienation on Performance among Health Employees

This study aims to determine the effect of loneliness at work and work stress on work alienation and work alienation on employee performance among employees in Turkish healthcare institutions. Data collection tools were composed of Loneliness at Work Scale Work Stress Scale, Work Alienation Scale and Performance Scale. The study results revealed that work alienation was influenced by work stress (? =0.689) and loneliness at work (? =0.433) positively. These influences were statistically significant (?
Identification of Bacterial Surface Antigens by Screening Peptide Phage Libraries Using Whole Bacteria Cell-Purified Antisera

Bacterial surface proteins can be good vaccine candidates. In the present study, we used polyclonal antibodies purified with intact Erysipelothrix rhusiopthiae to screen phage-displayed random dodecapeptide and loop-constrained heptapeptide libraries, which led to the identification of mimotopes. Homology search of the mimotope sequences against E. rhusiopthiae-encoded ORF sequences revealed 14 new antigens that may localize on the surface of E. rhusiopthiae. When these putative surface proteins were used to immunize mice, 9/11 antigens induced protective immunity. Thus, we have demonstrated that a combination of using the whole bacterial cells to purify antibodies and using the phage-displayed peptide libraries to determine the antigen specificities of the antibodies can lead to the discovery of novel bacterial surface antigens. This can be a general approach for identifying surface antigens for other bacterial species.
Be-FAST : A spatial model for studying Classical Swine Fever Virus spread between and within farms . Description and validation

Classical swine fever is a viral disease of pigs that causes severe commercial restrictions to the affected areas. The knowledge of its spread patterns and risk factors would help to implement specific measures for controlling future outbreaks. In this article, we describe in detail a spatial hybrid model, called Be-FAST, based on the combination of a stochastic Individual Based model for between-farm spread with a SusceptibleInfected model for within-farm spread, to simulate the spread of this disease in a given region. First, we focus on the mathematical formulation of each component of the model. Then, in order to validate this model, we perform various numerical numerical experiments considering the Spanish province of Segovia. Obtained results are compared with the ones given by other models and real outbreaks data. keywords: Epidemiological modeling; Individual based model; Susceptible-Infected model; Risk mapping; Model validation; Classical swine fever.
Mathematical Document Retrieval for Problem Solving

Solving mathematical problems is both challenging anddifficult for many students. This paper proposes a documentretrieval approach to help solve mathematical problems. Theproposed approach is based on Kohonen’s Self-Organizing Maps for data clustering of similar mathematical documents from a mathematical document database. Based on a user query problem, similar mathematical documents with their associated solutions are retrieved in order to provide hints or solutions on solving the user problem. In this paper, we will discuss the proposed mathematical document retrieval approach. The performance of the proposed approach will also be presented in comparison with other clustering techniques.