Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization and moment stability analysis of quasilinear quantum stochastic systems with quadratic coupling to external fields

The paper is concerned with open quantum systems whose Heisenberg dynamics are described by quantum stochastic differential equations driven by external boson fields. The system-field coupling operators are assumed to be quadratic polynomials of the system variables, with the latter satisfying canonical commutation relations. In combination with a cubic system Hamiltonian, this leads to quasilinear quantum stochastic systems which extend the class of linear quantum systems and yet retain algebraic closedness in the evolution of mixed moments of system variables up to any order. Although such a system is nonlinear and its quantum state is no longer Gaussian, the dynamics of the moments are amenable to exact analysis, including the computation of their steady-state values. A generalized criterion is outlined for quadratic stability of the quasilinear systems.
Findings from Two Decades of Family Planning Research

In this age of modern era, the use of internet must be maximized. Yeah, internet will help us very much not only for important thing but also for daily activities. Many people now, from any level can use internet. The sources of internet connection can also be enjoyed in many places. As one of the benefits is to get the on-line findings from two decades of family planning research book, as the world window, as many people suggest.
Assessing Mathematical Models of Influenza Infections Using Features of the Immune Response

The role of the host immune response in determining the severity and duration of an influenza infection is still unclear. In order to identify severity factors and more accurately predict the course of an influenza infection within a human host, an understanding of the impact of host factors on the infection process is required. Despite the lack of sufficiently diverse experimental data describing the time course of the various immune response components, published mathematical models were constructed from limited human or animal data using various strategies and simplifying assumptions. To assess the validity of these models, we assemble previously published experimental data of the dynamics and role of cytotoxic T lymphocytes, antibodies, and interferon and determined qualitative key features of their effect that should be captured by mathematical models. We test these existing models by confronting them with experimental data and find that no single model agrees completely with the variety of influenza viral kinetics responses observed experimentally when various immune response components are suppressed. Our analysis highlights the strong and weak points of each mathematical model and highlights areas where additional experimental data could elucidate specific mechanisms, constrain model design, and complete our understanding of the immune response to influenza.
Parallelized Similarity Flooding Algorithm for Processing Large Scale Graph Datasets with MapReduce

Measures of graph similarity have a broad range of applications but involve compute-intensive process. Similarity flooding algorithm is an efficient algorithm for comparing the similarity of graphs of small size and small datasets. However, nowadays more and more large-scale graph applications emerge and existing stand-alone similarity flooding algorithm cannot efficiently conduct the similarity comparison process for large scale graph datasets in acceptable time. This paper presents a parallelized similarity flooding algorithm with MapReduce for large-scale graph datasets. The experimental results demonstrate that the parallelized algorithm achieves significant performance improvement compared to the stand-alone similarity flooding algorithm. Experimental results also reveal that the parallelized algorithm can obtain excellent speedup when the size of cluster increases.
The Regulation of Inflammatory Pathways and Infectious Disease of the Cervix by Seminal Fluid

The connection between human papillomavirus (HPV) infection and the consequent sequelae which establishes cervical neoplastic transformation and invasive cervical cancer has redefined many aspects of cervical cancer research. However there is still much that we do not know. In particular, the impact of external factors, like seminal fluid in sexually active women, on pathways that regulate cervical inflammation and tumorigenesis, have yet to be fully understood. HPV infection is regarded as the initiating noninflammatory cause of the disease; however emerging evidence points to resident HPV infections as drivers of inflammatory pathways that play important roles in tumorigenesis as well as in the susceptibility to other infections such as human immunodeficiency virus (HIV) infection. Moreover there is emerging evidence to support a role for seminal fluid, in particular, the inflammatory bioactive lipids, and prostaglandins which are present in vast quantities in seminal fluid in regulating pathways that can exacerbate inflammation of the cervix, speed up tumorigenesis, and enhance susceptibility to HIV infection. This review will highlight some of our current knowledge of the role of seminal fluid as a potent driver of inflammatory and tumorigenic pathways in the cervix and will provide some evidence to propose a role for seminal plasma prostaglandins in HIV infection and AIDS-related cancer.
Agent-Based Autonomous Scheduling Mechanism Using Availability in Desktop Grid Systems

This paper addresses scheduling strategies to achieve high performance in desktop grid systems. The recent desktop grid systems can be characterized by decentralized control, large scale and extreme dynamism of their computation environment. In the environment of high throughput desktop grid systems, the volatility of volunteers, and the decentralized nature of desktop grid systems pose significant challenges. Our approach makes use of autonomous scheduling mechanisms on a computational overlay network to meet these challenges. However, current approaches to utilizing desktop resources require either centralized servers, or extensive knowledge of the underlying system, limiting scalability and performance. In this paper an agent-based autonomous scheduling (ABAS) mechanism on a computational overlay network is proposed to further improve performance through adaptive behavior of agents which have replication, migration, and checkpointing scheme. Performance evaluation demonstrates that the proposed scheduling mechanism improves throughput using Korea@Home
Deep inside low-mass stars

Abstract Low-mass stars exhibit, at all stages of their evolution, the signatures of complex physical processes that require challenging modeling beyond standard stellar theory. In this review, we recall the most striking observational evidences that probe the interaction and interdependence of various transport processes of chemicals and angular momentum in these objects. We then focus on the impact of atomic diffusion, large scale mixing due to rotation, and internal gravity waves on stellar properties on the main sequence and slightly beyond.
Impact of channel estimation errors in amplify-and-forward two-way relaying system

In this paper, the impact of channel state information (CSI) estimation errors on the performance of amplify-and-forward (AF) two-way relay network (TWRN) with single relay assisted has been investigated. The variance of channel estimation errors varies for different values of the transmitting SNR, dominated by the channel estimation quality order. We derive the exact closed-form and the approximate expressions of the cumulative distribution function (CDF) of the received signal-noise-ratio (SNR) for the link. Based on this, the system outage probability is given. What's more, we present the approximate expression of the average symbol error rate (SER) under different levels of channel estimation errors by using the moment generating function (MGF). Numerical results validate the correctness of our theoretical analysis for SER.
Differential gene expression for glutamic acid decarboxylase and type II calcium-calmodulin-dependent protein kinase in basal ganglia, thalamus, and hypothalamus of the monkey

In situ hybridization histochemistry, using cRNA probes, revealed a complementarity in the distributions of cells in the basal ganglia, basal nucleus of Meynert, thalamus, hypothalamus, and rostral part of the midbrain that showed gene expression for glutamic acid decarboxylase (GAD) or the alpha-subunit of type II calcium-calmodulin- dependent protein kinase (CAM II kinase-alpha). Cells in certain nuclei such as the thalamic reticular nucleus, globus pallidus, and pars reticulata of the substantia nigra show GAD gene expression only; others in nuclei such as the basal nucleus of Meynert, medial mamillary nuclei, and ventromedial hypothalamic nuclei show CAM II kinase-alpha gene expression only. A few nuclei, for example, the pars compacta of the substantia nigra and the greater part of the subthalamic nucleus, display gene expression for neither GAD nor CAM II kinase-alpha. In other nuclei, notably those of the dorsal thalamus, and possibly in the striatum, GAD- and CAM II kinase-expressing cells appear to form two separate populations that, in most thalamic nuclei, together account for the total cell population. In situ hybridization reveals large amounts of CAM II kinase-alpha mRNA in the neuropil of most nuclei containing CAM II kinase-alpha-positive cells, suggesting its association with dendritic polyribosomes. The message may thus be translated at those sites, close to the synapses with which the protein is associated. The in situ hybridization results, coupled with those from immunocytochemical staining for CAM II kinase-alpha protein, indicate that CAM II kinase-alpha is commonly found in certain non- GABAergic afferent fiber systems but is not necessarily present in the postsynaptic cells on which they terminate. It appears to be absent from most GABAergic fiber systems but can be present in the cells on which they terminate. This suggests that the kinase may be differentially engaged in pre- and postsynaptic functions at certain synapses.
Anti-inflammatory and anti-proliferative effect of herbal medicines (APR) in RAW264.7 cells

The objective of the present study was to analyze the effect of a mixture of medicinal plants [Angelica gigas Nakai, Panax ginseng and Rhus verniciflua Stokes (APR)] on lipopolysaccharide (LPS)-induced inflammatory responses in the murine macrophage cell line RAW264.7. Cells were treated with APR and LPS at various concentrations and indicated times. WST assay, trypan blue assay and quantification of activated cells demonstrated that APR suppressed cell proliferation in a dose-dependent manner. APR induced G1 cell cycle arrest and inhibited the LPS-induced phosphorylation of protein kinase B (AKT), extracellular signal-regulated kinase (ERK), mitogen-activated protein kinase (p38) and necrosis factor κB (NF-κB). APR also suppressed nitric oxide synthase isoform (iNOS) and prostaglandin endoperoxide synthase 2 (Cox-2) messenger ribonucleic acid (mRNA) expression induced by LPS. Furthermore, APR decreased LPS-induced intracellular reactive oxygen species (ROS) levels, mitochondrial membrane potential, as well as induced PARP and caspase-3 cleavage, suggesting that APR causes apoptosis. In conclusion, the present study indicated that APR may be advantageous in treating inflammatory disease.
Flexible Approximate String Matching Application on a Heterogeneous Distributed Environment

In this paper, we present three parallel flexible approximate string matching methods on a parallel architecture with heterogeneous workstations to gain supercomputer power at low cost. The first method is the static masterworker with uniform distribution strategy, the second one is the dynamic master-worker with allocation of subtexts and the third one is the dynamic master-worker with allocation of text pointers. Further, we propose a hybrid parallel method that combines the advantages of static and dynamic parallel methods in order to reduce the load imbalance and communication overhead. This hybrid method is based on the following optimal distribution strategy: the text collection is distributed proportional to workstation’s speed. We evaluated the performance of four methods with clusters 1, 2, 4, 6 and 8 heterogeneous workstations. The experimental results demonstrate that the dynamic allocation of text pointers and hybrid methods achieve better performance than the two original ones.
A Model of Suprachiasmatic Nucleus Firing Rate in the Rodent

The biological clock in mammals controls many important behavioral functions, one of which is sleep and wake patterns. It has been well established that this circadian pacemaker is located in the suprachiasmatic nucleus (SCN) of the hypothalamus. Lesions of the SCN have been shown to entirely eliminate circadian patterns of sleeping and waking, indicating that the SCN is completely necessary for circadian regulation of sleeping and waking in mammals. Neurotransmitters play a very important role in the SCN and how it controls sleeping and waking; namely, neurotransmitters mediate circadian signaling from the SCN and act within the SCN to influence the activity of SCN neurons. Mathematical modeling has previously been done to analyze the sleep wake patterns of mammals, specifically rodents, and how these patterns are controlled by different neurotransmitters. These models have represented the difference in light and dark sleep and wake patterns with different parameter values. Modeling has yet to delve into the role that the circadian clock in the SCN plays in the sleeping and waking of rodents. We have developed an SCN firing rate model that explores the circadian regulation of the SCN and consequently, the circadian regulation of sleeping and waking over a 24 hour period. The model takes into consideration projections to and from the SCN and their excitatory and/or inhibitory effects on sleeping and waking.
What Directions Do We Look at Power from? Up-Down, Left-Right, and Front-Back

Three experiments were carried out to investigate whether the the kinship concept had spatial representations along up-down (Experiment 1), left-right (Experiment 2), and front-back (Experiment 3) orientation. Participants identified the letter P or Q after judging whether kinship words were elder or junior terms. The results showed that participants responded faster to letters placed at the top, right side, and front following elder terms, and faster at the bottom, left side, and back following junior terms. The regression results further confirmed that these shifts of attention along up-down, right-left, and front-back dimensions in external space were uniquely attributed to the power construct embedded in the kinship concept, but not number or time. The results provide evidence for the multiple spatial representations in power, and can be explained by the theoretical construct of structural mapping.
Analysis and Improvement of Cache performance for Multimedia Applications

Multimedia applications are among the quickly growing areas in computer systems and becoming more and more important in people’s daily life. They are essentially memory-intensive and timecritical applications. Previous results and our analysis both confirm that media applications have some special properties like predictable data access patterns. These properties make them relatively easy to be optimized on general-purpose processors using data prefetching techniques. In this paper, we first systematically study the cache performance of multimedia applications to characterize their behaviors so that we can have deeper insights into media applications characteristics. Then based on our understanding, we use prefetching schemes, under different memory access models, to improve cache performance. Our simulation results show that prefetching is an effective way to improve cache performance in terms of
An adaptive genetic algorithm method for mobile multi spot diffusing optical wireless systems

Multi-beam spot diffusing optical wireless systems have been shown to offer performance improvement over conventional diffuse systems. In this work, the authors build on the genetic algorithm multi-spot diffuse technique introduced in [1] by adaptively optimising the distribution of transmit power among the spots. Our aim is deliver superior SNR and delay spread results compared to other existing systems in an indoor mobile communication scenario. This paper examines the boundaries of the maximum SNR that can be achieved in an indoor wireless system. It is demonstrated that the SNR can improve by as much as 50 dB compared to conventional diffuse systems and 20dB compared to the state of the art adaptive systems. The proposed system offers the possibility of adapting the number, pattern and power distribution of the spots as either the receiver or transmitter move.
Image fusion and classification of ENVISAT ASAR and ETM+ data

Enhanced Thematic Mapper Plus (ETM+) is the optical sensor of the Landsat-7 satellite. ENVISAT satellite with Advanced Synthetic Aperture Radar sensors (ASAR) is one of the earth observation satellites series of European Space Agency. Nowadays radar remote sensing is being widely used in various detection research programs for its capacity of all-weather, alltime and penetrability. The processing of radar data has been a research emphasis. In this paper, we use two kinds of data as the research object. One of them is the radar data of the ENVISAT satellite advanced synthetic aperture radar (ASAR) sensor, the other one is the multi-spectral image of the Landsat7 satellite ETM+ sensor. We analyzed the two polarization modes comparatively: horizontal polarization (HH) and cross polarization (HV) through their fusion images with multi-spectral data. Besides, we made a ground targets classification of the fusion image and compared the results. It can be seen that polarization radar can improve the classification precision of differentiation of ground feature that in substantial difference of moisture content compare with the traditional optical fusion image. In the study area of this paper, the classification precision of buildings and paddy field improved by 4% and 5% respectively.
The Simplex Algorithm Is NP-Mighty

We show that the Simplex Method, the Network Simplex Method—both with Dantzig’s original pivot rule—and the Successive Shortest Path Algorithm are NP-mighty. That is, each of these algorithms can be used to solve, with polynomial overhead, any problem in NP implicitly during the algorithm’s execution. This result casts a more favorable light on these algorithms’ exponential worst-case running times. Furthermore, as a consequence of our approach, we obtain several novel hardness results. For example, for a given input to the Simplex Algorithm, deciding whether a given variable ever enters the basis during the algorithm’s execution and determining the number of iterations needed are both NP-hard problems. Finally, we close a long-standing open problem in the area of network flows over time by showing that earliest arrival flows are NP-hard to obtain.
Visualization-Based Mapping of Language Function in the Brain

Cortical language maps, obtained through intraoperative electrical stimulation studies, provide a rich source of information for research on language organization. Previous studies have shown interesting correlations between the distribution of essential language sites and such behavioral indicators as verbal IQ and have provided suggestive evidence for regarding human language cortex as an organization of multiple distributed systems. Noninvasive studies using ECoG, PET, and functional MR lend support to this model; however, there as yet are no studies that integrate these two forms of information. In this paper we describe a method for mapping the stimulation data onto a 3-D MRI-based neuroanatomic model of the individual patient. The mapping is done by comparing an intraoperative photograph of the exposed cortical surface with a computer-based MR visualization of the surface, interactively indicating corresponding stimulation sites, and recording 3-D MR machine coordinates of the indicated sites. Repeatability studies were performed to validate the accuracy of the mapping technique. Six observers-a neurosurgeon, a radiologist, and four computer scientists, independently mapped 218 stimulation sites from 12 patients. The mean distance of a mapping from the mean location of each site was 2.07 mm, with a standard deviation of 1.5 mm, or within 5.07 mm with 95% confidence. Since the surgical sites are accurate within approximately 1 cm, these results show that the visualization-based approach is accurate within the limits of the stimulation maps. When incorporated within the kind of information system envisioned by the Human Brain Project, this anatomically based method will not only provide a key link between noninvasive and invasive approaches to understanding language organization, but will also provide the basis for studying the relationship between language function and anatomical variability.
The Assessment of the Leisure Benefits for the Elder Recreational Activities From Reminiscence Approach to Recreational Programming

Recreational activities are beneficial for the elderly. However, little is known regarding specifically which types of recreational activity benefit older adults and in what ways. The purpose of this study was to assess the particular benefits of different types of recreational activities. The intervention experiments in this study focused on three recreational activities, based on the different physical movements required: handicraft activities (finger movement), horticultural activities (upper limb movement), and Petanque (whole body activity), with each session lasting five weeks. Erickson’s life development theory was adapted to conduct the three recreational activities and to aid the elderly in reminiscing about their lives throughout the activities. Before and after the program intervention, the subjects were asked to fill out a questionnaire that analysed the leisure benefits of these recreational activities. The results are: (1) Significant improvements in seniors’ leisure benefit perception validate the effectiveness of adopting the reminiscence approach to recreational programming for seniors. (2) Different program characteristics affect seniors’ perceived leisure benefits in various ways. (3) Programs involving more motor skills are associated with physiological leisure benefits. (4) Psychological leisure benefits are linked to the “newness” of programs. (5) Competition and skill-focused activity might hinder social interactions. The study confirms that using the innovative reminiscence approach in a program could successfully expand older adults’ leisure repertoire and provide benefits to their physical, psychological and social health.