Miracle-dz/UniFAR-FTUs huggingface dataset:
Dasatinib enhances antitumor activity of paclitaxel in ovarian cancer through Src signaling

Src family tyrosine kinase (SFK) activation is associated with ovarian cancer progression. Therefore, SFKs are targets for the development of potential treatments of ovarian cancer. Dasatinib is a tyrosine kinase inhibitor that targets SFK activity, and is used for the treatment of B cell and Abelson lymphomas. At the present time, the potential effect of dasatinib on ovarian cancer is not clear. The aim of the present study was to investigate the antitumor activity of dasatinib, alone and in combination with paclitaxel, in ovarian cancer in vitro and in vivo. In the present study, the expression of Src and phospho-Src-Y416 (p-Src) was measured in six ovarian cancer cell lines using western blotting and immunohistochemistry. In addition, cell viability and apoptosis were measured using an MTT assay and annexin V-fluorescein isothiocyanate staining. An ovarian cancer murine xenograft model was established, in order to evaluate the antitumor effect of dasatinib alone and in combination with paclitaxel in ovarian cancer. High levels of p-Src protein expression were observed in all cell lines, as compared with healthy cells, which indicated activation of the Src signaling pathway. p-Src expression increased in ovarian cancer cells following paclitaxel treatment. Dasatinib treatment demonstrated anti-ovarian cancer properties, by downregulating p-Src expression and by inducing cancer cell apoptosis. Combined treatment with dasatinib and paclitaxel markedly inhibited proliferation and promoted apoptosis of ovarian cancer cells, compared with control cells. Combined dasatinib and paclitaxel treatment exhibited antitumor activities in vivo and in vitro (combination indices, 0.25–0.93 and 0.31–0.75; and tumor growth inhibitory rates, 76.7% and 58.5%, in A2780 and HO8910 cell lines, respectively), compared with paclitaxel treatment alone. Dasatinib monotherapy demonstrated anti-ovarian cancer activities. The effects of dasatinib and paclitaxel treatments on ovarian cancer cells appeared to be mediated by the Src pathway.
A Patient Profile Ontology in the Heterogeneous Domain of Complex and Chronic Health Conditions

There is growing interest in recent years in applying ontologies to represent disease concepts because they have the ability to depict the domain knowledge with a superior level of expressiveness and precision. Ontologies have been predominantly used to represent well-categorized disease concepts. However, there are challenges in representing the domain knowledge for heterogeneous and poorly categorized systems. In this study, a methodology to create an ontology to represent the domain knowledge for complex and chronic health conditions is explored. The domain of complex chronic conditions can be viewed not only as heterogeneous but also as dynamic with new knowledge continually evolving. The methodology includes the development of a controlled vocabulary to create the first layer of semantic interoperability. The controlled vocabulary is then converted into a patient profile ontology to add deeper semantics, conceptually and relationally in the heterogeneous domain knowledge.
Self-adaptive applications on the grid

Grids are inherently heterogeneous and dynamic. One important problemin grid computing is resource selection, that is, finding anappropriate resource set for the application. Another problem is adaptation to the changing characteristics of the grid environment. Existing solutions to these two problems require that a performance model for an application is known. However, constructing such models is a complex task. In this paper, we investigate an approach that does not require performance models. We start an application on any set of resources. During the application run, we periodically collect the statistics about the application run and deduce application requirements from these statistics. Then, we adjustthe resource set to better fit the application needs. This approach allows us to avoid performance bottlenecks, such as overloaded WAN links or very slow processors, and therefore can yield significant performance improvements. We evaluate our approach in a number of scenarios typical for the Grid.
Towards a Computational Analogical Theory of Mind

Several theories about Theory of Mind (ToM) have been proposed. The most well-known of these are Theory Theory and Simulation Theory, although alternative and hybrid theories do exist. One such theory, proposed by Bach (2011, 2014), is based on the Structure-Mapping theory of analogy, which has been shown to play a key role in cognitive development. There is evidence that children are more likely to pass false belief tasks when trained using stories that are easy to compare via structural alignment, as opposed to stories that are difficult to compare in this way (Hoyos, Horton & Gentner, 2015). This paper shows how a computational model based on Bach’s account can provide an explanation for the Hoyos et al. training study and proposes directions for future research on human subjects.
On Covariant Derivatives and Their Applications to Image Regularization

We present a generalization of the Euclidean and Riemannian gradient operators to a vector bundle, a geometric structure generalizing the concept of a manifold. One of the key ideas is to replace the standard differentiation of a function by the covariant differentiation of a section. Dealing with covariant derivatives satisfying the property of compatibility with vector bundle metrics, we construct generalizations of existing mathematical models for image regularization that involve the Euclidean gradient operator, namely, the linear scale-space and the Rudin--Osher--Fatemi denoising models. For well-chosen covariant derivatives, we show that our denoising model outperforms state-of-the-art variational denoising methods of the same type both in terms of peak signal-to-noise ratio (PSNR) and Q-index [Z. Wang and A. Bovik, IEEE Signal Process. Lett. , 9 (2002), pp. 81--84].
Exact and Approximate Sampling by Systematic Stochastic Search

We introduce adaptive sequential rejection sampling, an algorithm for generating exact samples from high-dimensional, discrete distributions, building on ideas from classical AI search. Just as systematic search algorithms like A* recursively build complete solutions from partial solutions, sequential rejection sampling recursively builds exact samples over high-dimensional spaces from exact samples over lower-dimensional subspaces. Our algorithm recovers widely-used particle filters as an approximate variant without adaptation, and a randomized version of depth first search with backtracking when applied to deterministic problems. In this paper, we present the mathematical and algorithmic underpinnings of our approach and measure its behavior on undirected and directed graphical models, obtaining exact and approximate samples in a range of situations.
Reflex circulatory collapse following intrapulmonary entrapment of activated platelets: mediation via 5‐HT3 receptor stimulation

1 The role of 5‐HT2 and 5‐HT3 receptors in the mediation of direct and reflex vascular responses to intrapulmonary platelet activation was investigated. 2 Anaesthetized rabbits were challenged intravenously with an emulsion of autologous bone marrow that produced a sharp increase in pulmonary blood pressure, a fall in systemic blood pressure, platelet consumption and death. 3 Platelet depletion before the challenge nearly abolished all the cardiovascular effects and prevented death. Bilateral vagotomy prevented the fall in systemic blood pressure and death but did not prevent the increase in pulmonary pressure. The intravenous administration of the 5‐HT3 antagonist, MDL‐72222, resembled the protection afforded by vagotomy whereas the 5‐HT2 antagonist, ketanserin, only reduced the increase in pulmonary pressure without affecting the systemic response or mortality. 4 The effects of intravenous 5‐HT and of electrical stimulation of the cephalic ends of the cut vagi nerves were also explored. 5‐HT injection increased the pulmonary vascular pressure but its effects on systemic blood pressure were variable. These responses were modified by the 5‐HT antagonists in a manner that resembles their effects on bone marrow embolism. Afferent vagal stimulation produced a fall in systemic blood pressure that was not prevented by MDL‐72222. 5 This study indicates that a centrally mediated reduction of peripheral vascular tone is the cause of the potentially lethal circulatory collapse that follows the intrapulmonary entrapment of activated platelets. This reflex is initiated by the action of 5‐HT on 5‐HT3 receptors in the lung.
High-performance NMOS operational amplifier

A high performance operational amplifier 300 mil/SUP 2/ in area has been designed and fabricated in a standard n-channel silicon-gate enhancement/depletion MOS process. Specifications achieved include open-loop gain, 1000; power consumption, 10 mW; common-mode range within 1.5 V of either supply rail; unity-gain bandwidth, 3.0 MHz with 80/spl deg/ phase margin; RMS input noise (2.5 Hz-46 kHz), 25 /spl mu/V; C-message weighted noise -5 dBrnC; and 0.1-percent settling time, 2.5 /spl mu/s.
Building a Data Warehouse for Twitter Stream Exploration

In the recent year Twitter has evolved into an extremely popular social network and has revolutionized the ways of interacting and exchanging information on the Internet. By making its public stream available through a set of APIs Twitter has triggered a wave of research initiatives aimed at analysis and knowledge discovery from the data about its users and their messaging activities. While most of the projects and tools are tailored towards solving specific tasks, we pursue a goal of providing an application in dependent and universal analytical platform for supporting any kind of analysis and knowledge discovery. We employ the well established data warehousing technology with its underlying multidimensional data model, ETL routine for loading and consolidating data from different sources, OLAP functionality for exploring the data and data mining tools for more sophisticated analysis. In this work we describe the process of transforming the original stream into a set of related multidimensional cubes and demonstrate how the resulting data warehouse can be used for solving a variety of analytical tasks. We expect our proposed approach to be applicable for analyzing the data of other social networks as well.
Joint Transmit Beamforming and Receive Power Splitting for MISO SWIPT Systems

This paper studies a multi-user multiple-input single-output (MISO) downlink system for simultaneous wireless information and power transfer (SWIPT), in which a set of single-antenna mobile stations (MSs) receive information and energy simultaneously via power splitting (PS) from the signal sent by a multi-antenna base station (BS). We aim to minimize the total transmission power at BS by jointly designing transmit beamforming vectors and receive PS ratios for all MSs under their given signal-to-interference-plus-noise ratio (SINR) constraints for information decoding and harvested power constraints for energy harvesting. First, we derive the sufficient and necessary condition for the feasibility of our formulated problem. Next, we solve this non-convex problem by applying the technique of semidefinite relaxation (SDR). We prove that SDR is indeed tight for our problem and thus achieves its global optimum. Finally, we propose two suboptimal solutions of lower complexity than the optimal solution based on the principle of separating the optimization of transmit beamforming and receive PS, where the zero-forcing (ZF) and the SINR-optimal based transmit beamforming schemes are applied, respectively.
Thermal transport by phonons across semiconductor interfaces, thin films, and superlattices

THERMAL TRANSPORT BY PHONONS ACROSS SEMICONDUCTOR INTERFACES, THIN FILMS, AND SUPERLATTICES by Eric Scott Landry Chair: Alan McGaughey Advanced technological devices often contain a high density of semiconductor interfaces. Phonon scattering at these interfaces impedes thermal transport through the device and can adversely affect performance and reliability. To improve device design, accurate phonon transport models are needed. Such models will also allow improvements in the design of semiconductor superlattices (periodic nanostructures containing thin films of alternating species) for thermoelectric energy conversion applications. In this thesis, thermal transport by phonons across siliconand germaniumbased interfaces, thin films, and superlattices is studied using molecular dynamics (MD) simulation and lattice dynamics (LD) calculations. Insight into the phonon transport across interfaces and thin films is gained by comparing MD-predicted thermal resistances to values calculated theoretically using LD-predicted phonon properties. Using this approach, the phonon distributions on either side of an interface are inferred to deviate from their bulk values. For interfaces with large species mismatch, however, the phonon distributions are well-approximated
Emotion Detection and Recognition using Facial Expressions and Body Gestures

bimodal emotion recognition system using facial expressions and body gestures. Affect sensing by machines has been argued as an essential part of next-generation human-computer interaction (HCI). To this end, in the recent years a large number of studies have been conducted, which report automatic recognition of emotion as a difficult, but feasible task. In this project, we have extended this idea using multimodal emotion detection technique to recognize extreme emotions so that this concept can be used in various real time applications successfully. This project is made in view of its use in rating advertisements by detecting and recognizing emotions of a person viewing the advertisement. This analysis can be then used to rate the advertisement and to make the required changes to increase its success rate.
Changes in Left Ventricular Global and Regional Longitudinal Strain During Right Ventricular Pacing

Background Our study aimed to demonstrate the short-term impacts of right ventricular apical pacing (RVAP) and right ventricular septal pacing (RVSP) on left ventricular (LV) regional longitudinal strain (RLS) and global longitudinal strain (GLS) in patients with preserved ejection fraction (EF). LV strain and functions may be altered by RVAP. RVSP might be a better alternative. The detrimental effect of right ventricular (RV) pacing may be mediated by regional LV impairment. Methods Sixty-two patients indicated for permanent pacemaker implantation and preserved LV systolic function were included. Dual chamber pacemakers were implanted in all patients. Patients were divided into two groups according to RV lead position: group A (RVAP, n = 32) and group B (RVSP, n = 30). Patients were examined at baseline and after 6 months of implantation for LV systolic functions, global and regional strain by echocardiography and 2D speckle tracking echocardiography. Results Paced QRS duration was significantly shorter in group B compared to group A patients (P = 0.02). Regarding ventricular strain, there was no statistically significant difference between both groups at baseline measurements in comparisons of GLS, relative apical longitudinal strain (rALS) and RLS (P > 0.05). In contrast, there was statistically significant difference between both groups in results of GLS (P = 0.01) at 6 months. In addition, RLSs in septal, apical and rALS were affected after 6 months with P values of 0.02, 0.03 and 0.03, respectively. Conclusion RVAP appears to worsen GLS more than RVSP, and the resultant decrease in apical strain is most correlated region to decrease in GLS.
Nonthermal Particles and Radiation Produced by Cluster Merger Shocks

We have developed a numerical model for the temporal evolution of particle and photon spectra resulting from nonthermal processes at the shock fronts formed in merging clusters of galaxies. Fermi acceleration is approximated by injecting power-law distributions of particles during a merger event, subject to constraints on maximum particle energies. We consider synchrotron, bremsstrahlung, Compton, and Coulomb processes for the electrons, nuclear, photomeson, and Coulomb processes for the protons, and knock-on electron production during the merging process. The broadband radio through γ-ray emission radiated by nonthermal protons and primary and secondary electrons is calculated both during and after the merger event. Using ROSAT observations to establish typical parameters for the matter density profile of clusters of galaxies, we find that typical merger shocks are weak and accelerate particles with relatively soft spectra. We consider the prospects for detecting nonthermal radio and γ-ray emission from clusters of galaxies and implications for the origin of ultra-high-energy cosmic rays and the diffuse γ-ray background. Our results suggest that only a few of the isotropically distributed unidentified EGRET sources are due to shocks formed in cluster mergers and that only a minor contribution to the diffuse extragalactic γ-ray background can originate from cluster merger shocks. Cluster merger shocks can accelerate protons to ≲1019 eV for the standard parameters considered here. We predict that GLAST will detect several cluster mergers, and depending on the mean magnetic fields in the intracluster medium, the Low Frequency Array could detect anywhere from several to several hundred.
A Non-Generational Genetic Algorithm for Multiobjective Optimization

This paper describes a non-generational genetic algorithm for multiobjective optimization. The tness of each individual in the population is calculated incrementally based on the degree in which it is dominated in the Pareto sense, or close to other individuals. The closeness of individuals is measured using a sharing function. The performance of the algorithm presented is compared to previous eeorts on three multiobjec-tive optimization problems of growing dii-culty. The behavior of each algorithm is analyzed with regard to the visited search space, the quality of the nal population attained, and the percentage of non-dominated individuals in the population through time. According to all these performance measures, the algorithm presented clearly outperforms previous eeorts based on generational genetic algorithms.
Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets

Accurate normalization is an absolute prerequisite for correct measurement of gene expression. For quantitative real-time reverse transcription-PCR (RT-PCR), the most commonly used normalization strategy involves standardization to a single constitutively expressed control gene. However, in recent years, it has become clear that no single gene is constitutively expressed in all cell types and under all experimental conditions, implying that the expression stability of the intended control gene has to be verified before each experiment. We outline a novel, innovative, and robust strategy to identify stably expressed genes among a set of candidate normalization genes. The strategy is rooted in a mathematical model of gene expression that enables estimation not only of the overall variation of the candidate normalization genes but also of the variation between sample subgroups of the sample set. Notably, the strategy provides a direct measure for the estimated expression variation, enabling the user to evaluate the systematic error introduced when using the gene. In a side-by-side comparison with a previously published strategy, our model-based approach performed in a more robust manner and showed less sensitivity toward coregulation of the candidate normalization genes. We used the model-based strategy to identify genes suited to normalize quantitative RT-PCR data from colon cancer and bladder cancer. These genes are UBC, GAPD, and TPT1 for the colon and HSPCB, TEGT, and ATP5B for the bladder. The presented strategy can be applied to evaluate the suitability of any normalization gene candidate in any kind of experimental design and should allow more reliable normalization of RT-PCR data.
Growth and Metabolic Response of Suckling Rats Fed with Natural Honey Supplements.

The growth and metabolic response of unweaned rats fed with honey were investigated. Ten day old Sprague-Dawley rats were gavaged with 50% honey solution (low dose 10 ml/kg or high dose 20 ml/kg) twice daily for ten days. All data were expressed as mean ± SEM and analyzed by one way ANOVA. Pups nourished with honey had 5.41-7.43% body weight gain than untreated rats. Tibial length was significantly increased (p < 0.05) in the honey-fed group than control (6-9%). The differences in growth could be attributed to circulating insulin-like growth factor-1 as the concentrations were also significantly higher in the honey-fed pups. There were no differences in the circulating and stored metabolic substrates (glucose, triglycerides, free fatty acid, cholesterol, lipid and glycogen) between the treatment and control groups. The plasma alanine transaminase was not affected by the treatments, however there was significantly increased plasma alkaline phosphatase activity in the male pups compared with female litter mates. Short term (10-day) oral administration of honey resulted in growth promotion and increased alkaline phosphatase in male rats, possibly in relation to bone growth and caused no liver pathology in neonatal rats. It was concluded that honey supplements administered orally to suckling rats have a positive effect on body weight and linear growth, and these effects are beneficial during weaning and development of fast growing animals. *Corresponding author: Abdulwahid Ajibola, Department of Physiology, Faculty of Basic Medicine, Kaduna State University, PMB 2339, Kaduna 800001, Kaduna, Nigeria, Tel: +234 8037803988; +234 8055218256; E-mail: ajibola66@gmail.com Received Date: December 04, 2015 Accepted Date: February 03, 2016 Published Date: February 08, 2016
Inertial-Based Joint Mapping and Positioning for Pedestrian Navigation

Digital cartography and automated mapping techniques based on GNSS positioning have transformed our relationship to the physical world. The convergence of these complementary technologies are supporting the growth of commercial and consumer location-based applications that benefit from the coupling of real-time information with maps that are more current than ever — at least in environments that have access to radio signals from orbiting GNSS satellites. Buildings, roads, mobile assets, points of interest, and people can be located outdoors based directly on GNSS-derived geographic coordinates or conventional addresses tied to these coordinates. Such advances, however, SLAM Dance
High Rate Multiple Drug Resistances in HIV-Infected Patients Failing Nonnucleoside Reverse Transcriptase Inhibitor Regimens in Thailand, Where Subtype A/E is Predominant

The prevalence of drug resistance was determined among 64 HIV-infected Thai patients who were failed while receiving nonnucleoside reverse transcriptase inhibitor (NNRTI)–based regimens. Eighty-nine percent of patients had 1 or more NNRTI mutation resistances. Almost all patients had resistance to at least 1 nucleoside reverse transcriptase inhibitor (NRTI), and 42% had multiple-NRTI resistance.