Miracle-dz/UniFAR-FTUs huggingface dataset:
Twin-peak quasiperiodic oscillations as an internal resonance

Two peaks occur in high-frequency power spectra of X-ray lightcurves of several black-hole candidates. We further explore the idea that a non-linear resonance mechanism operating in strong-gravity regime is responsible for these inter-related quasi-periodic oscillations (twin QPOs). By extending the multiple-scales analysis of Rebusco, we construct two-dimensional phase-space sections, which enable us to identify different topologies governing the system and to follow the evolutionary tracks of the twin peaks. This approach suggests that the original (Abramowicz & Kluzniak) parametric-resonance scheme can be viewed as a naive account of the QPOs model with an internal resonance.We show an example of internal resonance in a system with up to two critical points, and describe a general technique that permits other cases to be treated in a systematical manner. A separatrix divides the phase-space sections into regions of different topology. Inside the libration region, the evolutionary tracks bring the observed twin-peak frequencies to an exact rational ratio, whereas the observed frequencies remain off resonance in the circulation region. Our scheme predicts the power should be cyclically exchanged between the two oscillations. Like the high-frequency QPOs in neutron-star binaries, one also expects, as a general property of the non-linear model, that in black-hole sources slight detuning pushes the twin-peak frequencies out of sharp resonance.
Using non-Financial Data to Assess the creditworthiness of Businesses in Online Trade

Assessing the creditworthiness of prospective business partners is the first step in conducting trade. Traditionally the creditworthiness of partners was assessed using transactional methods, methods based on close observation of the other party and the heavy use of mostly subjective, soft information. During recent decades, however, these relational methods were largely replaced with transactional methods relying almost exclusively on objective financial data, otherwise known as hard data. A considerable portion of firms involved in business to business trade are now small companies that do not to have any reliable or comparable financial information. In the absence of such information, transactional methods of assessing business creditworthiness have very limited practical value. To provide a remedy, this study proposes using non-financial information available from the Web and thus a return to the more transactional methods. We identify sources of credit-related information available from a typical business to business exchange and test if such information can predict firm creditworthiness. We conduct a study with a group of online businesses on a major B2B exchange and empirically show that a number of non-financial factors can in fact predict online businesses’ level of creditworthiness.
Performance Assessment of Congestion Control Transport Protocols for Wireless Sensor Networks

In wireless sensor networks (WSNs), congestion may bring about degradation of overall channel quality and increased loss rates, leads to buffer drops and enlarged delays, and tends to be disgustingly unfair toward nodes whose data has to traverse a larger number of hops. Provisioning a WSN so that congestion is an infrequent occasion is quite challenging task. This paper presents a performance comparison study focusing the most relevant congestion control transport protocols for wireless sensor networks. The main objective is to study some characteristics of these types of protocols, focus in energy saving and penalty fidelity with the help of simulations.
"A flexible Tool for Model Building: the Relevant Transformation of the Inputs Network Approach" (RETINA)".

A new method, called relevant transformation of the inputs network approach (RETINA) is proposed as a tool for model building and selection. It is designed to improve some of the shortcomings of neural networks. It has the flexibility of neural network models, the concavity of the likelihood in the weights of the usual likelihood models, and the ability to identify a parsimonious set of attributes that are likely to be relevant for predicting out of sample outcomes. RETINA expands the range of models by considering transformations of the original inputs; splits the sample in three disjoint subsamples, sorts the candidate regressors by a saliency feature, chooses the models in subsample 1, uses subsample 2 for parameter estimation and subsample 3 for cross-validation. It is modular, can be used as a data exploratory tool and is computationally feasible in personal computers. In tests on simulated data, it achieves high rates of successes when the sample size or the R2 are large enough. As our experiments show, it is superior to alternative procedures such as the non negative garrote and forward and backward stepwise regression.
The Role of Pride, Shame, Guilt, and Humiliation in Social Service Organizations: A Conceptual Framework from a Qualitative Case Study

Abstract Emotions have become increasingly recognized as constitutive elements of organizations and organizational processes. While the emotions of pride, shame, guilt, and humiliation have long been considered to play a significant role in what people do and how they do it, they have received little theoretical and empirical attention within the literature on social service organizations. This paper responds to this research gap by outlining a conceptual framework for the role these emotions play, developed from an ethnographic case study of one English local authority child protection service. The framework outlines how these emotions influenced the wider institutional processes to construct an ideal form of practice, which was then used to evaluate the social workers’ actions and praise, shame, or humiliate the social workers accordingly. The threat of shame, and promise of praise, influenced most social workers to enact or conform to the standard, thereby regulating their identities. Some social workers, however, felt ashamed or guilty of what they were doing and sought to resist these attempts at control through acts of compromising, concealing, and influencing. This paper considers how this understanding contributes to our understanding of these emotions and how they are experienced in a modern social service context.
PTPN22 Is a Critical Regulator of Fcγ Receptor–Mediated Neutrophil Activation

Neutrophils act as a first line of defense against bacterial and fungal infections, but they are also important effectors of acute and chronic inflammation. Genome-wide association studies have established that the gene encoding the protein tyrosine phosphatase nonreceptor 22 (PTPN22) makes an important contribution to susceptibility to autoimmune disease, notably rheumatoid arthritis. Although PTPN22 is most highly expressed in neutrophils, its function in these cells remains poorly characterized. We show in this article that neutrophil effector functions, including adhesion, production of reactive oxygen species, and degranulation induced by immobilized immune complexes, were reduced in Ptpn22−/− neutrophils. Tyrosine phosphorylation of Lyn and Syk was altered in Ptpn22−/− neutrophils. On stimulation with immobilized immune complexes, Ptpn22−/− neutrophils manifested reduced activation of key signaling intermediates. Ptpn22−/− mice were protected from immune complex–mediated arthritis, induced by the transfer of arthritogenic serum. In contrast, in vivo neutrophil recruitment following thioglycollate-induced peritonitis and in vitro chemotaxis were not affected by lack of PTPN22. Our data suggest an important role for PTPN22-dependent dephosphorylation events, which are required to enable full FcγR-induced activation, pointing to an important role for this molecule in neutrophil function.
How and Why Millennials are Shaking Up Organizational Cultures

Much has been written about the Millennial population who will outnumber the Gen-X and Baby Boomer population in the workplace by 2018. This article examines the reliable research and articulates a pragmatic guide for leaders that distinguishes between fact and fiction as they attempt to engage with this demographic and earn their commitment. The typical Millennial worldview was shaped by experiences that were different from previous generations and are impacting organizational cultures and norms. Three generations with very different worldviews are working together in the same workplace, which is forcing the sensemaking process in unusual ways. This article contributes to the current literature by dispelling naive attributions from mainstream media and by explaining specific work and life style preferences of this demographic impacting the organizations that employ them. This article provides practitioners with root causes of observable behaviors and reliable strategies to attract and retain the Millennial population.
Drawing Graphs to Speed Up Shortest-Path Computations

We consider the problem of (repeatedly) computing single-source single-target shortest paths in large, sparse graphs. Previous investigations have shown the practical usefulness of geometric speed-up techniques that guarantee the correctness of the result for shortest-path computations. However, such speed-up techniques utilize a layout of the graph which typically comes from geographic information. This paper examines the question how geometric speed-up techniques can be used in case there is no layout given. We present an extensive computational study analyzing the usefulness of meth-ods from graph drawing as foundation for such techniques. It turns out that using appropriate layout algorithms, a sig-niﬂcant speed-up can be achieved.
Experiments in Mobile Content Enrichment

Mobile content, by its concise nature, offers limited indexing opportunities, which makes it difficult to build high-quality mobile search engines and indexes. In this paper we address this problem by evaluating a heuristic content enrichment framework that uses standard Web resources as a source of additional indexing knowledge. We present an evaluation using a mobile news service that demonstrates significant improvements in search performance compared to a benchmark mobile search engine.
Learning by Bagging and Adaboost based on Support Vector Machine

Ensemble of classifiers (Multiple classifier system) and Support Vector Machine (SVM) are now well established research lines in machine learning. Recently, some works devoted to SVM-based ensembles report that the most popular ensembles creation methods Bagging and Adaboost are not expected to improve the performance of SVMs and sometimes they even worsen the performance, due to that SVM is stable and strong classifier. In this paper, we focus on adapting Bagging and Adaboost to SVM. The framework of Bagging is extended by introducing the Class-wise expert classifiers, then we proposed the improved algorithm CeBag. The weighting rule of AdaBoost is modified to deal with the overfitting problem which may be even worse when boosting strong classifiers, and the strength of SVM is weakened by adaptively adjusting the kernel parameters, then we proposed the algorithm WwBoost. Experiments implemented on IDA benchmark data sets show that our algorithms are effective in building ensemble of SVMs.
ISI-Kolkata at MTPIL-2012

In this paper we present our work in the MTPIL-2012 dependency parsing task on Hindi using MaltParser. Here we have experimented with MaltParser by selecting different parsing algorithms and different features selection. Finall y, we have achieved unlabeled attachment score (UAS) of 91.80%, labeled attachment score (LAS) 86.51% and labeled accuracy (LA) 88.47% respectively.
goDiscovery: Web Service Discovery Made Efficient

The growing popularity of cloud computing has magnified the rise of software reuse by facilitating service provisioning over the Internet. At the same time, a new generation of mobile apps has emerged relying on backend services that expand the app functionally, while reducing the overhead on limited mobile resources. The Web service approach promises great flexibility in offering software functionality over the network, while maintaining interoperability between heterogeneous platforms. In addition, recent years have witnessed the rise of user-facing service developments that can be consumed on-the-go with a standard interface, such as Restful Web services. However, the discovery of such services does not match their growing popularity and remain challenging. Users cannot tolerate long latency in finding relevant services to their requests. In this paper, we propose a robust and efficient Web service discovery approach that uses statistical methods and indexing techniques to improve the precision and response time of the discovery process. Experimental results demonstrate that the proposed approach outperforms the state-of-the-art discovery mechanisms and significantly reduces the query response time by at least 77%, while maintaining comparable accuracy.
Accuracy vs speed tradeoffs in the estimation of fixed-point errors on Linear Time-Invariant systems

Fixed-point format is essential to most efficient Digital Signal Processing (DSP) implementations. The conversion of an algorithm specification to fixed-point precision targets the minimization of the implementation cost while guaranteeing a minimal processing accuracy. However, measuring such processing accuracy can be extremely time consuming and lead to long design cycles. In this paper, we study reference approaches to measure fixed-point errors of Linear Time-Invariant (LTI) systems without feedback. Unsurprisingly, we find the existing analytical approach significantly faster than a straightforward simulation-based estimation. However, we also show that such analytical approach can incur high estimation errors for some particular bitwidth configurations. Accordingly, we propose a new hybrid approach, which is able to reduce by up to 4 times the error of the analytical estimation, while still being more than 10 times faster than the simulation-based estimation.
Title Management of spontaneously ruptured hepatocellularcarcinomas in the radiofrequency ablation era

Background and aim: Spontaneous rupture of hepatocellular carcinoma (HCC) carries a high mortality. The use of radiofrequency ablation (RFA) in recent years has enriched the armamentarium for hemostasis of spontaneously ruptured HCCs but its results have not been documented. This study investigated the prognosis and outcome of spontaneous rupture of HCC as well as the results of using RFA for hemostasis. Patients and method: From January 1991 to December 2010, 5283 patients were diagnosed with HCC at our hospital, and 189 of them had spontaneous rupture of HCCs. They were grouped under two periods: period 1, 1991–2000, n = 70; period 2, 2001–2010, n = 119. RFA was available in period 2 only. Results: Hepatitis B virus infection was predominant in both periods. Surgical hemostasis was mainly achieved by hepatic artery ligation in period 1 and by RFA in period 2. The 30-day hospital mortality after surgical treatment was 55.6% (n = 18) in period 1 and 19.2% (n = 26) in period 2 (p = 0.012). Multivariate analysis identified 4 independent factors for better overall survival, namely, hemostasis by transarterial chemoembolization (hazard ratio 0.516, 95% confidence interval 0.354–0.751), hemostasis by RFA (hazard ratio 0.431, 95% confidence interval 0.236–0.790), having surgery as a subsequent treatment (hazard ratio 0.305, 95% confidence interval 0.186–0.498), and a serum total bilirubin level ,19 umol/L (hazard ratio 1.596, 95% confidence interval 1.137–2.241). Conclusion: The use of RFA for hemostasis during laparotomy greatly reduced the hospital mortality rate when compared with conventional hepatic artery ligation. Citation: Cheung TT, Poon RTP, Chok KSH, Chan ACY, Tsang SHY, et al. (2014) Management of Spontaneously Ruptured Hepatocellular Carcinomas in the Radiofrequency Ablation Era. PLoS ONE 9(4): e94453. doi:10.1371/journal.pone. 0094453 Editor: Beicheng Sun, The First Affiliated Hospital of Nanjing Medical University, China Received December 17, 2013; Accepted March 17, 2014; Published April 9, 2014 Copyright: 2014 Cheung et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: The authors have no support or funding to report. Competing Interests: The authors have declared that no competing interests exist. * E-mail: tantocheung@hotmail.com
Discovering Cellular Automata Rules for Binary Classification Problem with Use of Genetic Algorithm

This paper proposes a cellular automata-based solution of a two-dimensional binary classification problem. The proposed method is based on a two-dimensional, three-state cellular automaton (CA) with the von Neumann neighborhood. Since the number of possible CA rules (potential CA-based classifiers) is huge, searching efficient rules is conducted with use of a genetic algorithm (GA). Experiments show an excellent performance of discovered rules in solving the classification problem. The best found rules perform better than the heuristic CA rule designed by a human and also better than one of the most widely used statistical method: the k-nearest neighbors algorithm (k-NN). Experiments show that CAs rules can be successfully reused in the process of searching new rules.
ROGER WHITE PROBLEMS FOR DOGMATISM

I argue that its appearing to you that P does not provide justification for believing that P unless you have independent justification for the denial of skeptical alternatives -hypotheses incompatible with P but such that if they were true, it would still appear to you that P. Thus I challenge the popular view of ‘dogmatism,’ according to which for some contents P, you need only lack reason to suspect that skeptical alternatives are true, in order for an experience as of P to justify belief that P. I pursue three lines of objection to dogmatism, having to do with probabilistic reasoning, considerations of future or hypothetically available justification, and epistemic circularity. I briefly sketch a fall-back position which avoids the
Visualization of 3-D vector fields - Variations on a stream

1 Abstract This paper presents several new algorithms for rendering three-dimensional vector elds. The techniques described are all variations of streamlines. A new algorithm has been developed for streamribbons which avoids many of the dif-culties associated with the standard technique of connecting neighboring streamlines. Also, a streamtube algorithm is described where the tube width is based upon the local crosssow divergence. The streamribbon and streamtube ideas are then combined by rendering lines along the surface of the streamtube which rotate according to the local streamwise rotation rate. Finally, a memory-eecient and accurate implementation of unsteady particle paths is presented. 2 Introduction The visualization of a vector eld in three dimensions is a diicult problem. Streamlines are a standard technique by which to visualize steady vector elds. The popularity of streamlines is in part due to their close analogy with common experimental techniques. Historically, in earlier years when compute power and rendering capabilities were more limited, streamlines ooered a quick, low memory technique by which to visualize a vector eld. Typically, the streamlines would be calculated on a supercomputer and then the small amounts of data generated from this calculation would be brought over to the rendering hardware where line rendering could be quickly performed. Another popular variation of streamlines are streamribbons. Streamribbons have been widely used because they provide information on the local vorticity in a owweld. Furthermore, streamribbons are often easier than streamlines to understand because of their additional thickness. In an unsteady owweld, streamlines and particle paths no longer coincide. Common experimental techniques for unsteady velocity eld visualization are streaklines and hydrogen bubbles. A streakline is the line formed by all the particles passing through a given point; in experiments, this technique usually involves the constant injection of a dye at a spot in the ow eld. The bubble technique creates hydrogen bubbles by ionization at an electric trip wire. These particles than follow their individual paths. This technique is very useful in boundary layer ows and has been used extensively to show disturbance growth in these situations. This paper presents several new algorithms useful in vi-sualization of vector elds. All of the algorithms are implemented for unstructured grids in the visualization software package, VISUAL3, developed in the MIT Computational Fluid Dynamics Lab. The streamribbon algorithm described is a more eecient, less troublesome approach to creating ribbons than has been typically used elsewhere. A streamtube algorithm is presented …
Speeding up object detection fast resizing in the integral image domain

In this paper, we present an approach to resize integral images directly in the integral image domain. For the special case of resizing by a power of two, we propose a highly parallelizable variant of our approach, which is identical to bilinear resizing in the image domain in terms of results, but requires fewer operations per pixel. Furthermore, we modify a parallelized state-of-the-art object detection algorithm which makes use of integral images on multiple scales so that it uses our approach and compare it to the unmodified implementation. We demonstrate that our modification allows for an average speedup of 6.38% on a dual-core processor with hyper-threading and 12.6% on a 64-core multi-processor system, respectively, without impacting the overall detection performance. Moreover, we show that these results can be extended to a whole class of object detection algorithms.
Differences in Muscle Power Between the Dominant and Nondominant Upper Limbs of Baseball Players

Abstract Noguchi, T, Demura, S, Takahashi, K, Demura, G, and Mori, Y. Differences in muscle power between the dominant and nondominant upper limbs of baseball players. J Strength Cond Res 28(1): 82–86, 2014—We examined the differences in muscle power between the dominant and nondominant upper limbs of 33 healthy, right-handed, university baseball players (mean age, 20.4 ± 1.1 years) with an average baseball experience >11 years. After measuring maximal voluntary contraction (MVC) of hand grip, elbow flexion, and shoulder internal rotation in both upper limbs, the muscle power of each joint was measured at 40%, 50%, and 60% MVC. No significant differences were observed in the main factors affecting MVC and elbow flexion power loads between dominant and nondominant upper limbs. For handgrip power, load factors at 40% MVC in the dominant hand were lower than those at 60% MVC in the same hand and those at 50% and 60% MVC in the nondominant hand. Significant differences were observed in shoulder internal rotation power between dominant and nondominant upper limbs, with the dominant limb having greater power at all loads. Correlations between muscle power of both upper limbs for handgrip and elbow flexion were significant and moderately high at all loads. For shoulder internal rotation power, the degree of correlation was significant and moderately high at 40% MVC but low to moderate at 50% and 60% MVC. Therefore, baseball players have marked lateral dominance in shoulder internal rotation power unlike handgrip and elbow flexion power, although the relationship between shoulder internal rotation muscle powers of both upper limbs becomes lower with increasing load. The dominance of muscle power of each joint varied even in the same upper limb. It is thus beneficial for baseball players to train with even loads on both arms or adopt simultaneous workout of both arms after adjusting for strength differences.