Miracle-dz/UniFAR-FTUs huggingface dataset:
Gemcitabine sensitization by checkpoint kinase 1 inhibition correlates with inhibition of a Rad51 DNA damage response in pancreatic cancer cells

The protein kinase checkpoint kinase 1 (Chk1) has been implicated as a key regulator of cell cycle progression and DNA repair, and inhibitors of Chk1 (e.g., UCN-01 and EXEL-9844) potentiate the cytotoxic actions of chemotherapeutic drugs in tumor cells. We have examined the ability of PD-321852, a small-molecule Chk1 inhibitor, to potentiate gemcitabine-induced clonogenic death in a panel of pancreatic cancer cell lines and evaluated the relationship between endpoints associated with Chk1 inhibition and chemosensitization. Gemcitabine chemosensitization by minimally toxic concentrations of PD-321852 ranged from minimal (<3-fold change in survival) in Panc1 cells to >30-fold in MiaPaCa2 cells. PD-321852 inhibited Chk1 in all cell lines as evidenced by stabilization of Cdc25A; in combination with gemcitabine, a synergistic loss of Chk1 protein was observed in the more sensitized cell lines. Gemcitabine chemosensitization, however, did not correlate with abrogation of the S-M or G2-M checkpoint; PD-321852 did not induce premature mitotic entry in gemcitabine-treated BxPC3 or M-Panc96 cells, which were sensitized to gemcitabine 6.2- and 4.6-fold, respectively. In the more sensitized cells lines, PD-321852 not only inhibited gemcitabine-induced Rad51 focus formation and the recovery from gemcitabine-induced replication stress, as evidenced by persistence of γ-H2AX, but also depleted these cells of Rad51 protein. Our data suggest the inhibition of this Chk1-mediated Rad51 response to gemcitabine-induced replication stress is an important factor in determining gemcitabine chemosensitization by Chk1 inhibition in pancreatic cancer cells. [Mol Cancer Ther 2009;8(1):45–54]
3DWireless Network Localization from Inconsistent Distance Observations

This paper presents a 3-dimensional algorithm for determining the node locations in ad-hoc wireless local area sensor networks capable of internodal distance measurement (ranging). In accordance with common classification of localisation strategies, the paper proposes a geometric centralised optionally anchor free algorithm that is based on clusterisation, multilateration and geodetic network adjustment. The method avoids foldambiguities by statistical tests on the robustness of the minimally stable structure in 3D. Such a rigid cluster is expanded by a novel robust approach for multilateration. The algorithm developed is capable of obtaining the least-squares solution reliably even in the presence of measurement noise levels of up to 7% of the ranges. Simulations with randomly deployed networks show that it is possible to reach the best achievable mean position deviation (i.e. the Cramer Rao bound).
The Sampling Distribution of Particle Swarm Optimisers and their Stability

Several theoretical analyses of the dynamics of particle swarms have been offered in the literature over the last decade. Virtually all rely on substantial simplifications, often including the assumption that the particles are deterministic. This has prevented the exact characterisation of the sampling distribution of the PSO. In this paper we introduce a novel method that allows us to exactly determine all the characteristics of a PSO’s sampling distribution and explain how it changes over any number of generations, in the presence stochasticity. The only assumption we make is stagnation, i.e., we study the sampling distribution produced by particles in search for a better personal best. We apply the analysis to the PSO with inertia weight, but the analysis is also valid for the PSO with constriction and other forms of PSO.
Performance Analysis of the IEEE 802.11 MAC Protocol

This paper presents a new approach for performance evaluation of the IEEE 802.11 Medium Access Control (MAC) protocol. The approach is based on system approximations, where the statistical characteristics of the protocol operations are studied and approximated by an appropriate phase-type distribution. A queueing model that incorporates bursty arrival process as well as the statistical characteristics of the protocol operations is constructed. This model is used to study the performance of IEEE 802.11. The accuracy of the analytical results is verified by simulation. In this paper, we analyze the IEEE 802.11 MAC protocol without making simplifying assumptions on its details. We use a Markovian state dependent single server queue (SSQ) to accurately model the protocol for which the exact performance results are not readily obtainable. The arrival process of this SSQ represents the process of idle stations that become active. The statistical characteristics of the service time for a given queue size (number of active stations) are obtained by the saturation throughput analysis and can be fitted with an equivalent PH distribution, so that a Markovian state dependent SSQ structure can be used. Since the saturation throughput analysis of the IEEE 802.11 MAC protocol performed in (2) captures all the protocol details, by reusing the results from the saturation throughput analysis, the protocol details are retained. In the next section, the operation of the IEEE 802.11 MAC protocol is revisited. In Section 3, we describe the model that we develop to analyze the performance. In Section 4 we obtain analytical results for performance evaluation for IEEE 802.11 under several traffic conditions and verify them by simulations.
SQLator: an online SQL learning workbench

SQL (Structured Query Language) is one of the essential topics in foundation databases courses in higher education. Due to its apparent simple syntax, learning to use the full power of SQL can be a very difficult activity. In this paper, we introduce SQLator, which is a web-based interactive tool for learning SQL. SQLator's key function is the evaluate function, which allows a user to evaluate the correctness of his/her query formulation. The evaluate engine is based on complex heuristic algorithms. The tool also provides instructors the facility to create and populate database schemas with an associated pool of SQL queries. Currently it hosts two databases with a query pool of 300+ across the two databases. The pool is divided into 3 categories according to query complexity. The SQLator user can perform unlimited executions and evaluations on query formulations and/or view the solutions. The SQLator evaluate function has a high rate of success in evaluating the user's statement as correct (or incorrect) corresponding to the question. We will present in this paper, the basic architecture and functions of SQLator. We will further discuss the value of SQLator as an educational technology and report on educational outcomes based on studies conducted at the School of Information Technology and Electrical Engineering, The University of Queensland.
Kinematics of X-Ray-Emitting Components in Cassiopeia A

We present high-resolution X-ray proper-motion measurements of Cassiopeia A using Chandra X-Ray Observatory observations from 2000 and 2002. We separate the emission into four spectrally distinct classes: Si-dominated, Fe-dominated, low-energy-enhanced, and continuum-dominated. These classes also represent distinct spatial and kinematic components. The Si- and Fe-dominated classes are ejecta and have a mean expansion rate of 0.2% yr-1. This is the same as for the forward shock filaments but less than the 0.3% yr-1 characteristic of optical ejecta. The low-energy-enhanced spectral class possibly illuminates a clumpy circumstellar component and has a mean expansion rate of 0.05% yr-1. The continuum-dominated emission likely represents the forward shock and consists of diffuse circumstellar material, which is seen as a circular ring around the periphery of the remnant as well as projected across the center.
Speed-ups in constructive solid geometry

Author(s): Eppstein, David | Abstract: We convert constructive solid geometry input to explicit representations of polygons, polyhedra, or more generally d-dimensional polyhedra, in time O(n^d), improving a previous O(n^d log n) bound. We then show that any Boolean formula can be preprocessed in time O(n log n/ log log n) so that the value of the formula can be maintained, as variables are changed one by one, in time O(log n/ log log n) per change; this speeds up certain output-sensitive algorithms for constructive solid geometry.
High frequency injection-based stator flux linkage and torque estimation for DB-DTFC implementation on IPMSMs considering cross-saturation effects

Deadbeat-direct torque and flux control (DB-DTFC) has demonstrated several technical advantages over classical hysteresis DTC and PI regulator based direct torque control (DTC) methods. These include fast torque control, low ripple, easily integrated dynamic loss minimization control, and one control law that uses the inherent Volt-sec. source properties of power electronics to enable operation over all operating conditions including voltage limits. DB-DTFC uses the fundamental machine model to form the inverse solution for Volt-sec selection at each switching period. Therefore, DB-DTFC is a model-based discrete time controller that relies on accurate machine parameter estimation to provide accurate dynamic torque control. In this paper, a new method for high frequency injection-based real-time self- and mutual inductance estimation is proposed and evaluated in both simulations and experiments. In this new method, the estimated inductances including cross-coupling inductance due to cross-saturation are then used to estimate the stator resistance and permanent magnet flux linkage. The stator flux linkage observer using the identified machine parameters, yields improved stator flux linkage estimates that enable precise torque calculation. Experimental evaluation of the HFI-based flux estimates on torque estimation and control accuracy is performed at an IPMSM drive test bench with torque transducer mounted.
Towards a Universal Web Wrapper

The wealth of information contained in the world-wide web has created much interest in systems for integrating information from multiple sites. We describe a universal wrapper machine that can learn to extract information from the web given only a set of general rules describing the data domain. It cleanly separates out site-independent and site-specific knowledge from execution implementation. Site-independent knowledge is expressed in user-supplied domain rules, while site-specific knowledge is expressed in automatically-generated context-free grammars that describe site structures. The two are combined by using the domain rules to semantically interpret the parse trees generated by the grammars. The resulting declarative wrapper specifications are easily understandable by humans and can be executed to perform information extraction. Once extracted, tuples can be queried by external agents using a high-level agent communication language.
An adaptive Lagrange-Galerkin shallow-water model on the sphere

An adaptive parallel spherical shallow-water model is introduced that uses the Lagrange-Galerkin method (semi-Lagrangian method + nite element method (FEM)). The scalar formulation of the shallow-water equations, its discretisation and numerical realization are described using suitable techniques for spatial adaptivity, e.g., a stable discretization method, an adaptive grid generator with the space lling curve approach and a exible solver interface. Computational results show the experimental convergence of the numerical method.
Real time implementation of Modified Repetitive Control Strategy in a DC motor

In this paper the Modified Repetitive Control Strategy (MRCS) is designed and implemented in a DC motor. The MRCS incorporates the idea of repetitive control strategy (RCS) which accomplishes perfect asymptotic set point tracking in this process, provided that the period length used in the control formulation matches the actual period of the reference/disturbance signal exactly. The DC motor system is approximated into a First Order Plus Time Delay (FOPTD) model by step testing method. RCS is incorporated in the DC motor control loop of proportional (P) mode. The proportional controller parameter is obtained using Ziegler-Nichols Tuning Rule (ZNTR). The proposed MRCS is also integrated to a DC motor system. A periodic input signal of sine wave is generated and real time runs of the DC motor system are carried out for the periodic reference tracking with MRCS based P mode control loop. A similar run is also carried out with both RCS based P mode and conventional P-mode control structure in the loop. The experimental results show that the MRCS demonstrated good tracking performance. A robustness of the MRCS is also validated.
Practical Aspects of Algorithm Portfolio Design

Stochastic algorithms are among the best for solving computationally hard search and reasoning problems. The runtime of such procedures is characterized by a random variable. Di erent algorithms give rise to di erent probability distributions. One can take advantage of such di erences by combining several algorithms into a portfolio, and running them in parallel or interleaving them on a single processor. We provide a detailed evaluation of the portfolio approach on distributions of hard combinatorial search problems. We show under what conditions the portfolio approach can have a dramatic computational advantage over the best traditional methods.
Caught Between Two Principals

Mutual fund providers serve two principals with opposing interests: their owners, who want them to maximize profits, and their fund shareholders, who want them to maximize fund returns. I investigate what role is played by customer power and information, as well as by competition among fund providers in influencing the balance of power between these two opposing principals. Using a data set of essentially all U.S. mutual funds between 1992–2002, I find that customer power and information play a more important role than competition among fund providers to alleviate the agency problem between fund shareholders and fund providers. In particular, I find that fund providers shift advertising expenses via 12b-1 fees and research expenses via soft dollars (excess commissions paid by fund providers) onto fund shareholders. Expense shifting is much more pronounced for retail funds than for institutional funds, while it is much less affected by competition among fund providers.
ECE 1771 Survey Paper # 1 : Randomized Algorithms in Unstructured Peer-to-Peer Networks

We present a survey of random algorithms in unstructured peer-to-peer networks by focusing on search, replication, and construction algorithms. A heavy emphasis is placed on the scalability and performance of the various schemes studied. The importance of random algorithms emerges clearly from this study. Shortcomings of the current state of research are identified and directions for future work are suggested.
Antecedents of work engagement among high potential employees

Purpose The implicit assumption since the beginning of the science and practice of human resource management (HRM) has been that if we do HRM well, this will somehow make organizations perform more effectively. The purpose of this paper is to address this “somehow” by investigating the antecedents of work engagement among high potential employees. Design/methodology/approach The data were collected through a web-based survey from 439 high potential employees of 11 Finnish multinational enterprises. Structural equation modeling was utilized to analyze the data. Findings In line with the social exchange perspective, the findings demonstrate that it is through the fulfillment of psychological contract and through increased organizational identification that high potential employees become more engaged with their organizations in response to participation in leadership development activities. Research limitations/implications Given its cross-sectional nature, the authors cannot completely exclude the possibility of common method bias having impact on the study results. The authors thus call for longitudinal research to examine the nature of causality within the associations analyzed in this study. Originality/value This is one of the first empirical studies, which examines the previously underexplored association between leadership development activities and employee attitudes. In addition, this study addresses the lack of research investigating such a specific group of employees as high potential employees, those employees who rank at the top in terms of performance and competencies, and who are considered to be of highest concern for organizations.
The Bolocam 1.1 mm Lockman Hole Galaxy Survey: SHARC II 350 μm Photometry and Implications for Spectral Models, Dust Temperatures, and Redshift Estimation

We present 350 μm photometry of all 17 galaxy candidates in the Lockman Hole detected in a 1.1 mm Bolocam survey. Several of the galaxies were previously detected at 850 μm, at 1.2 mm, in the infrared by Spitzer, and in the radio. Nine of the Bolocam galaxy candidates were detected at 350 μm, and two new candidates were serendipitously detected at 350 μm (bringing the total in the literature detected in this way to three). Five of the galaxies have published spectroscopic redshifts, enabling investigation of the implied temperature ranges and a comparison of photometric redshift techniques. For z ≈ 2.5 thermally emitting galaxies, λ = 350 μm lies near the spectral energy distribution peak. Thus, luminosities can be measured without extrapolating to the peak from detection wavelengths of λ ≥ 850 μm. Characteristically, the galaxy luminosities lie in the range 1.0-1.2 × 1013 L☉, with dust temperatures in the range 40-70 K, depending on the choice of spectral index and wavelength of unit optical depth. The implied dust masses are × 108 M☉. We find that the far-infrared to radio relation for star-forming ULIRGs systematically overpredicts the radio luminosities and overestimates redshifts on the order of Δz ≈ 1, whereas redshifts based on either submillimeter data alone or the 1.6 μm stellar bump and PAH features are more accurate.
Analysing Trends and Volatility in Atmospheric Carbon Dioxide Concentration Levels

Atmospheric carbon dioxide concentration (ACDC) is a crucial variable for many environmental simulation models, and is regarded as an important factor for predicting temperature and climate changes. However, the conditional variance of ACDC levels has not previously been examined. This paper analyses the trends and volatility in ACDC levels using monthly data from January 1965 to December 2002. The data are a subset of the well known Mauna Loa atmosphere carbon dioxide record obtained through the Carbon Dioxide Information Analysis Center. The conditional variance of ACDC levels is modelled using the generalised autoregressive conditional heteroscedasticity (GARCH) model and its asymmetric variations, namely the GJR and EGARCH models. These models are shown to be able to capture the dynamics in the conditional variance in ACDC levels and to improve the out-of-sample forecast accuracy of ACDC.
Semantic Similarity Based Video Reranking

With the popularity of Internet video, video retrieval applications become more and more widespread. The effect of the traditional retrieval optimization algorithms cannot meet the needs of users. To improve rearrangement semantic rationality of video search results, this paper introduces the video annotation to mark based on the video content objectively. At the same time, the use of words semantic knowledge tree is important. Use the video annotation text and search terms in order to quantify the performance of the similarity. And combine video title and related text information to get the final video reranking sequence. In this paper, the validity was validated by experimental method, this paper also add video test on network video. Experimental results show that the performance of the method of reranking is improved.
Comparative Study of the New Generation, Agile, Scalable, High Performance NOSQL Databases

Relational database is widely used in most of the application to store and retrieve data. They work best when they handle a limited set of data. Handling real time huge volume of data like internet was inefficient in relation database systems. To overcome this problem the "NO-SQL" or "Not Only SQL" Database came into existence. This paper discusses about problems with relation databases and how different types of NOSQL Databases are used to efficiently handle the real world problems.
Iterative Nonlocal Total Variation Regularization Method for Image Restoration

In this paper, a Bregman iteration based total variation image restoration algorithm is proposed. Based on the Bregman iteration, the algorithm splits the original total variation problem into sub-problems that are easy to solve. Moreover, non-local regularization is introduced into the proposed algorithm, and a method to choose the non-local filter parameter locally and adaptively is proposed. Experiment results show that the proposed algorithms outperform some other regularization methods.
Dynamic association of the PI3P-interacting Mon1-Ccz1 GEF with vacuoles is controlled through its phosphorylation by the type 1 casein kinase Yck3

Recruitment and activation of the late endosomal Rab Ypt7 require the GEF Mon1-Ccz1. Association of Mon1 with vacuoles depends on the lipid PI3P, and Mon1 is phosphorylated by the casein kinase Yck3. Phospho-Mon1 is subsequently released from vacuoles as part of a putative recycling mechanism.
Breast Cancer Exosome-like Microvesicles and Salivary Gland Cells Interplay Alters Salivary Gland Cell-Derived Exosome-like Microvesicles In Vitro

Saliva is a useful biofluid for the early detection of disease, but how distal tumors communicate with the oral cavity and create disease-specific salivary biomarkers remains unclear. Using an in vitro breast cancer model, we demonstrated that breast cancer-derived exosome-like microvesicles are capable of interacting with salivary gland cells, altering the composition of their secreted exosome-like microvesicles. We found that the salivary gland cells secreted exosome-like microvesicles encapsulating both protein and mRNA. We also showed that the interaction with breast cancer-derived exosome-like microvesicles communicated and activated the transcriptional machinery of the salivary gland cells. Thus, the interaction altered the composition of the salivary gland cell-derived exosome-like microvesicles on both the transcriptomically and proteomically.
The fall and rise of class analysis in British sociology, 1950-2016

This paper considers the changing nature of class analysis in Britain, focusing on three generations, and with a particular interest in the reasons for the revival of class analysis in the past 15 years. I show how the ‘heroic’ approach to class in Britain, which was very strong between 1950 and 1975, depended on emphasising the role of the working class as agents of progressive social change. Whilst this was a powerful force during this period, it locked class analysis into a historical moment which was fast being eclipsed given the scale of de-industrialisation in Britain during this period. During 1975-2000 class analysis faded in Britain because the white, male, industrial working class seemed much less significant in shaping British society. The most recent period since 2000 has seen the remarkable revival of ‘cultural class analysis’, strongly associated with the influence of Pierre Bourdieu, and I sketch out its appeal, and its potential to enhance the study of class more broadly in the final part of this paper.