Miracle-dz/UniFAR-FTUs huggingface dataset:
Runtime Vertical Scaling of Virtualized Applications via Online Model Estimation

Applications in virtualized data centers are often subject to Service Level Objectives (SLOs) regarding their performance (e.g., latency or throughput). In order to fulfill these SLOs, it is necessary to allocate sufficient resources of different types (CPU, memory, I/O, etc.) to an application. However, the relationship between the application performance and the resource allocation is complex and depends on multiple factors including application architecture, system configuration, and workload demands. In this paper, we present a model-based approach to ensure that the application performance meets the user-defined SLO efficiently by runtime "vertical scaling" (i.e., adding or removing resources) of individual virtual machines (VMs) running the application. A layered performance model describing the relationship between the resource allocation and the observed application performance is automatically extracted and updated online using resource demand estimation techniques. Such a model is then used in a feedback controller to dynamically adapt the number of virtual CPUs of individual VMs. We have implemented the controller on top of the VMware vSphere platform and evaluated it in a case study using a real-world email and groupware server. The experimental results show that our approach allows the managed application to achieve SLO satisfaction in spite of workload demand variation while avoiding oscillations commonly observed with state-of-the-art threshold-based controllers.
Analysis of the MIPS 32-bit , pipelined processor using synthesized VHDL

For large and complicated ASIC designs, it is difficult to read and understand the circuits based on schematic drawings alone; as a result, a hardware description language is much needed for a succinct, descriptive, and human-readable summarization of the circuit. In this paper, we explore VHDL, a hardware description language popular in educational environment. Through the design of a 32-bits pipelined CPU as described in “Computer Organization and Design” by John L. Hennessy and David A. Patterson, we present several VHDL compilers, simulators, and synthesizers that are readily accessible for academic environments. Finally, we perform timing and area analysis the MIPS processor using Xilinx’s SPARTAN3 FPGA device and Virtex4 FPGA device. Introduction: Usually, the easiest way to understand a simple circuit is to study its schematics. From the schematics, we can derive the gate structures, wiring structures, critical paths, and more. However, as the circuits become more complicated, their schematics also become harder to understand due to the heavy amount of wires and gates crossing each other. As a result, it is imperative to find a new method to accurately describe the circuits, yet easy to understand and describe on a reasonable amount of papers. The solution for this problem lies in hardware description language (HDL).
A new video text extraction method based on stroke

The video text is an important clue to infer semantic information of video. The accuracy of text extraction is crucial to the video text retrieval. Most of previous proposed methods can not completely extract the text characters when the text blocks own complicated background or when the stroke width of the text character is unpredictable. In this paper, we put forward a text extraction method, which can accurately extract video texts with complex background and various text character sizes. Experiments are conducted on TV news videos, which show that the performance of the proposed method is encouraging.
Hybrid model based sentiment classification of Chinese micro-blog

Through analysis and study of emotional characteristics in Chinese micro-blog, such as Sina Weibo, this paper proposed a multidimensional sentiment classification method based on micro-blog emoticon by dividing micro-blog into 7 types of emotions categories: happiness, fondness, sorrow, anger, fear, detestation and surprise. We used predefined micro-blog emoticon sets to initial screen large-scale unmarked data, and automatically labeled them, then used this emotional corpus as training set to train the emotion classifier, which divided micro-blog data into multiple emotion categories. The experimental results show that accuracy rate of using unigram model for each class can reach 63.7%. And the adoption of different feature selection methods for Support Vector Machines and Naive Bias classifier experiment, by which the obtained accuracy rate and recall rate has reached higher than 71%.
Complex terrain perception based on Hidden Markov Model

Terrain perception in complex environment is important for Autonomous Land Vehicle to drive automatically. In order to access the terrain information, in this paper, we present a terrain perception method based on Hidden Markov Model (HMM) which combines LIDAR with machine vision. On the basis of spatial fan-shaped model, terrain feature extraction is performed to acquire the observation model. Hidden markov models describe the vertical structure of the driving space and Viterbi algorithm is used for terrain classification. Then the navigation decision is given based on the perception of the complex environment. Experiment results show that the method can give an accurate environment description for ALV.
during collagen-induced platelet aggregation Evidence for cross-talk between glycoprotein VI and Gi-coupled receptors

http://bloodjournal.hematologylibrary. org/content/97/12/3829.full. html Updated information and services can be found at: (2497 articles) Hemostasis, Thrombosis, and Vascular Biology  Articles on similar topics can be found in the following Blood collections http://bloodjournal.hematologylibrary. org/site/misc/rights.xhtml#repub_requests Information about reproducing this article in parts or in its entirety may be found online at: http://bloodjournal.hematologylibrary. org/site/misc/rights.xhtml#reprints Information about ordering reprints may be found online at: http://bloodjournal.hematologylibrary. org/site/subscriptions/index.xhtml Information about subscriptions and ASH membership may be found online at:
R&D Subsidization and Innovation: Searching for Causality in the Concentrating Solar Power Industry Using Vector Autoregressions and Impulse-Response Functions

In this paper, we seek to confirm whether or not changes in growth of research and development (R&D) subsidies to the Concentrating Solar Power (CSP) industry cause increases in growth of patents in that industry. Using time series data for 24 countries across 38 years, we use vector autoregressions and orthogonalized impulse-response functions to isolate causal effects. These econometric techniques have been used in isolating cause-and-effect relationships in macroeconomics, but it has yet to be applied to the innovation/patent literature. We detail changes in the growth of R&D subsidies, GDP, and patent counts to find that there is an ambiguous causal effect from increases in R&D growth to changes in growth of patents, indicating that either there is no causeand-effect relationship for the CSP industry, or that the data is not complete enough to establish this relationship. However, the data does show a statistically significant and robust causal effect from increases in GDP growth to increases in patent growth in CSP. Our treatment allows us to confirm a causal link, something that none of the past literature has succeeded at doing. Our research significantly contributes to the literature by successfully introducing an effective econometric technique that can be applied to the field of innovation research, and from here further research can be done to establish cause-and-effect relationships in broader industries. ∗Thesis Advisor: Professor Richard Ball, Haverford College.
Assessing the Impact of Fiscal Policy on Poverty

Fiscal policy measures are a key means by which governments can influence distribution and poverty, but in fact the relationships between fiscal policy and poverty are not well understood. The most commonly used technique for assessing the distributional impact, benefit incidence analysis, is straightforward, but applied by itself it suffers from a number of serious limitations. Assessment of the impact of fiscal policy needs to be developed in various directions, including allowing for behavioural responses and incorporating a broader range of information. In parallel with this careful attention needs to be paid to more effective monitoring of the poverty impact of fiscal policy. [Discussion Paper No. 2002/43].
Signaling via the Angiotensin-Converting Enzyme Results in the Phosphorylation of the Nonmuscle Myosin Heavy Chain IIA

The phosphorylation of the short C-terminal cytoplasmic domain of the somatic angiotensin-converting enzyme (ACE) is involved in the regulation of enzyme shedding. We determined whether the phosphorylation of the cytoplasmic domain of ACE (ACEct) on Ser1270 regulates the cleavage/secretion of the enzyme by affecting its association with other proteins. ACE was associated with β-actin and the nonmuscle myosin heavy chain IIA (MYH9) in endothelial cells, as determined by coimmunoprecipitation experiments as well as an ACEct affinity column. The ACE-associated MYH9 immunoprecipitated from 32P-labeled endothelial cells was basally phosphorylated and cell stimulation with ACE inhibitors, or with bradykinin, increased the phosphorylation of MYH9. Casein kinase 2 (CK2) but not protein kinase C phosphorylated MYH9 in vitro, CK2 coprecipitated with MYH9 from endothelial cells and the phosphorylation of MYH9 in intact cells paralleled the phosphorylation of ACE on Ser1270 by CK2. The CK2 inhibitor 5,6-dichloro-1-β-d-ribofuranosylbenzimidazole attenuated the phosphorylation of ACE and MYH9, disrupted their association, and enhanced the cleavage/secretion of ACE from the plasma membrane. Cytochalasin D decreased the interaction between ACE and MYH9 and stimulated ACE shedding. Although MYH9 was still able to associate with residual amounts of a nonphosphorylatable S1270A ACE mutant, no ACE inhibitor-induced increase in MYH9 phosphorylation could be detected in S1270A-expressing cells. These data indicate that the interaction of ACE with MYH9 determines ACE shedding and is modulated by phosphorylation processes. Furthermore, because ACE inhibitors affect the phosphorylation of MYH9, the phosphorylation of this class II myosin might contribute to the phenomenon of ACE signaling in endothelial cells.
Reflection moveout and parameter estimation for horizontal transverse isotropy

Transverse isotropy with a horizontal axis of symmetry (HTI) is the simplest azimuthally anisotropic model used to describe fractured reservoirs that contain parallel vertical cracks. Here, I present an exact equation for normal‐moveout (NMO) velocities from horizontal reflectors valid for pure modes in HTI media with any strength of anisotropy. The azimuthally dependent P‐wave NMO velocity, which can be obtained from 3-D surveys, is controlled by the principal direction of the anisotropy (crack orientation), the P‐wave vertical velocity, and an effective anisotropic parameter equivalent to Thomsen's coefficient δ. An important parameter of fracture systems that can be constrained by seismic data is the crack density, which is usually estimated through the shear‐wave splitting coefficient γ. The formalism developed here makes it possible to obtain the shear‐wave splitting parameter using the NMO velocities of P and shear waves from horizontal reflectors. Furthermore, γ can be estimated just from the P‐wav.
High-Grade Prostate Cancer: Favorable Results in the Modern Era Regardless of Initial Treatment

Purpose. We performed a retrospective study to determine the outcome of a modern cohort of patients with high-grade (Gleason score ≥ 8) prostate cancer treated with radical prostatectomy, radiation therapy, or hormone therapy. Methods. We identified 404 patients in the South Texas Veteran's Healthcare System Tumor Registry diagnosed with high grade prostate cancer between 1998 and 2008. Mean follow-up was 4.62 ± 2.61 years. End points were biochemical failure-free survival, overall survival, metastasis-free survival, and cancer-specific survival. Results. 5-year overall survival for patients undergoing radical prostatectomy, radiation therapy, and hormone therapy was 88.9%, 76.3%, and 58.9%, respectively. 5-year metastasis-free survival for patients undergoing radical prostatectomy, radiation therapy, and hormone therapy was 96.8%, 96.6%, and 88.4%, respectively, and 5-year cancer-specific survival was 97.2%, 100%, and 89.9%, respectively. Patients with a Gleason score of 10 and pretreatment prostate-specific antigen > 20 ng/mL had decreased 5-year biochemical failure-free and cancer-specific survival. Patients with a pretreatment prostate-specific antigen > 20 ng/mL had decreased 5-year overall survival. Discussion. Even for patients with high-grade disease, the outcome is not as dire in the modern era regardless of primary treatment modality chosen. While there is room for improvement, we should not have a nihilistic impression of how these patients will respond to treatment.
Wold features for unsupervised texture segmentation

An efficient texture representation for unsupervised segmentation is addressed based on the concept of Wold decomposition. Textures are described by the wavelet tuned to various scales and rotations to describe its deterministic component, and by the autoregressive model to describe its indeterministic component. The wavelet features and the AR parameters capturing the perceptual properties, "periodicity", "directionality", and "randomness", respectively, have been proved to be consistent with human texture perception. The performance of our approach is demonstrated on Brodatz textures and natural textured images.
DL-AgentRecom - A Multi-Agent Based Recommendation System for Scientific Documents

The goal is to propose a recommendation system for scientific documents. The paper presents the architecture and the principles of functioning of the system. The way a user organizes its documents is called the user's perspective over the set of documents. Operations with user perspectives are defined, also the system can have and build its own perspective. The users perspective can be mixed with system perspective.
Motivations for the Bessarabian Youth to Study in Romanian Universities

This paper explores the decisions of Bessarabian youth to study in a branch of a Romanian university. We used data collected from individual interviews with 58 students. We find that uncertainty and the material constraints played a major role in their choice. We also identify some factors with relevant influence on the schooling decisions, such as the perceptions about the costs of education, the wage expectations, and the compatibility with the future profession.
Time delay estimation for strain imaging using the phase of the complex envelope of RF signal

Time Delay Estimation is a basic technique used for locating and tracking radiating acoustic source. TDE process is common for studying signal-to-noise ratio, input signals and systems that are common in process industry. The delay estimate is acquired using the generalized cross-correlation function applied between the original and the time-lagged filtered version of the received signal. In recent years ultrasound elastography proved as a successful alternative of the invasive biopsy. The fundamental necessity lies in estimating the strain for which time delay estimation is a pre-requisite step. Taking the phase of the complex envelope of the pre and post compression RF echo signals it is possible to successfully compute the time delay between them. The ultimate target of an Elastographic process is the noiseless Elastogram which is used to identify the suspected nodules embedded into the deep of tissue column. In this paper the strain information acquired from the phase of complex envelope and the same is used to analyze the quality of Elastograms studying mainly two parameters strain and sampling frequency.
Recent Advances in Conjugated Polymer-Based Microwave Absorbing Materials

Microwave absorbing materials (MAMs) are paving the way for exciting applications in electromagnetic (EM) pollution precaution and national defense security, as they offer an advanced alternative to conventional reflection principles to fundamentally eliminate the EM waves. Conjugated polymer (CP)-based composites appear as a promising kind of MAM with the desirable features of low density and high performance. In this review, we introduce the theory of microwave absorption and summarize recent advances in the fabrication of CP-based MAMs, including rational design of the microstructure of pure conjugated polymers and tunable chemical integration with magnetic ferrites, magnetic metals, transition metal oxides, and carbon materials. The key point of enhancing microwave absorption in CP-based MAMs is to regulate their EM properties, improve matching of characteristic impedance, and create diversified loss mechanisms. The examples presented in this review will provide new insights into the design and preparation of CP-based composites that can satisfy the high demands of the oncoming generation of MAMs.
Proton-sulfate co-transport: mechanism of H+ and sulfate addition to the chloride transporter of human red blood cells

Proton and sulfate inhibition of the obligatory chloride-chloride exchange of human erythrocytes was measured at 0 degrees C to determine their mechanism of reaction with the anion transporter. The proton and sulfate that are co-transported by this mechanism at higher temperatures behaved as nontransported inhibitors at 0 degrees C. We analyzed the data in terms of four molecular mechanisms: (1) HSO4- addition to the transporter; (2) ordered addition with the proton first; (3) ordered addition with the sulfate first; (4) random addition to the transporter. The Dixon plots of 1/MCl vs. [SO4] at different proton concentrations were not parallel. Thus protons and sulfate ions were not mutually exclusive inhibitors. The slope of these Dixon plots was independent of pH above 7.0, which indicates that sulfate could bind to the unprotonated carrier and excludes the first two mechanisms. Protons were inhibitors of chloride flux in the absence of sulfate, which indicates that protons could bind to the unloaded carrier and excludes mechanism 3. The KI for sulfate was 4.35 +/0 0.36 mM. The pK for the protonatable group was 5.03 +/- 0.02. The binding of either a proton or sulfate to the carrier decreased the KI of the other by ninefold. The only simple mechanism consistent with the data is a random-ordered mechanism with more transporters loaded with a sulfate than loaded with a proton at the pH and sulfate concentrations of plasma.
An Algorithm for Approximate Factorization of Bivariate Polynomials 1 )

In this paper, we propose a new numerical method for factoring approximate bivariate polynomials over C. The method relies on Ruppert matrix and singular value decomposition. We also design a new reliable way to compute the approximate GCD of bivariate polynomials with floating-point coefficients. The algorithm has been implemented in Maple 9. The experiments show that the algorithms are very efficient and stable for approximate polynomials with medium degrees.
Preparation and characterization of polymer blend nanocomposites

A polyurethane/Polysulfone/Multi-walled carbon nanotube blend polymer nanocomposite of thickness 25μm were prepared by solution mixing method. The microstructure of the composite was examined by scanning electron microscopy. The study on the structure of the composite showed that carbon nanotubes could be dispersed in the blend matrix well apart from a few of clusters. The dielectric properties of the composite samples of different weight ratio were studies by measuring the permittivity and tangential loss. The XRD results elucidate the lattice spacing and crystallinity. XRD characteristics further show the formation of blend nanocomposites.
Trade Unions in Western Europe: Hard Times, Hard Choices

Book synopsis: Trade unions in most of Europe are on the defensive: in recent decades they have lost membership, sometimes drastically; their collective bargaining power has declined, as has their influence on government; and in many countries, their public respect is much diminished. This book explores the challenges facing trade unions and their responses in ten west European countries: Britain, Ireland, Sweden, Denmark, Germany, Austria, the Netherlands, Belgium, France, and Italy. Based on a substantial number of interviews with key union representatives and academic experts in each country, together with the collection of a large amount of union documentation and background material, the book gives an account of how trade unionism has evolved in each country, the main recent challenges that unions have faced, and their responses. The book engages with the debates of the past two decades on union modernization and revitalization, and more generally with theories of institutional change and the literature on varieties of capitalism. Some observers ask whether unions remain relevant socio-economic actors, but challenging times can stimulate new thinking, and hence provide new opportunities. This book aims to show why trade unions are (still) important subjects for scientific analysis: first, as a means of collective 'voice' allowing employees to challenge management control and bringing a measure of balance to the employment relationship; second, as a form of 'countervailing power' to the socio-economic dominance of capital; and third, their potential as a 'sword of justice' to defend the weak, vulnerable and disadvantaged, express a set of values in opposition to the dominant political economy, and offer aspirations for a different—and better—form of society.
LAMA tumor in the rat as an experimental model for pre-B-cell leukemia.

A late pre-B-cell leukemia model in the rat, the LAMA tumor, is described. A mouse monoclonal antibody (HIS30) was developed against LAMA cells. HIS30 reacts with a membrane antigen in tumor tissue, whereas its reactivity with normal tissues is limited to the zona glomerulosa of the adrenal cortex and to the adrenal medulla. HIS30 was used for both the immunohistological detection of tumor cells in tissue sections and the immunolocalization of tumor cells in vivo. To enable in vitro studies with the LAMA model, an in vitro growing cell line (LAMA-K1) was established from the LAMA tumor. LAMA-K1 is immunophenotypically similar to the original tumor. Two tumor transplantation models were characterized. In the first model LAMA was implanted s.c. , and local tumor growth occurred at the injection site, which was then followed by lymphatogenic and subsequently hematogenic tumor spread. In the second model i.v. transplantation caused direct hematogenic tumor dissemination. In both models early dissemination was especially prominent to the bone marrow, spleen, and liver. Later in the disease most visceral organs became involved, and partial paralysis of the animal was observed in the end stage of the disease. In combination with HIS30, the LAMA pre-B-cell tumor offers a model for both the investigation of in vivo transplanted tumor cells and for the in vivo detection of tumor cells by HIS30 in LAMA tumor-bearing rats.