Miracle-dz/UniFAR-FTUs huggingface dataset:
Priority-based R2CP for multipoint-to-point video streaming

In a P2P network, the same content can derive from multiple sources, which is to say that there can be multiple incomings. As RTP used popularly in video streaming cannot handle multipoint-to-point data streams, R2CP was proposed to resolve this drawback. However, R2CP does not discriminate the data packets which are critical to the quality of video streaming, so there is a great risk that the critical data packets may be dropped when network is congestion. This paperdagger proposes P-R2CP (Priority-based R2CP) to effectively decrease the loss ratio of critical data packets in multipoint-to-point video streaming. Experimental results indicate that, as less critical data packets are dropped, the proposed method can maintain the good playback quality.
The Network Structure of the Korean Blogosphere

This paper examines Koreans' protests against U.S. beef imports by deconstructing online dynamics of news diffusion using data comprised of widely read blog entries created by Daum blog reporters between May and June 2008. The results indicate that Korean bloggers' political positions on U.S. beef imports were polarized, which ultimately influenced their network positions and the way news was diffused to them. Using a qualitative examination of bloggers' profiles, we found that bloggers who formed an independent group in order to run a collective blog, and journalists who worked in smaller media organizations contributed to enhancing citizen engagement with the issues at stake. Furthermore, we observed that there was a structural change in the online network between May and June. © 2012 Wiley Periodicals, Inc.
Monitoring Bacterial Burden, Inflammation and Bone Damage Longitudinally Using Optical and μCT Imaging in an Orthopaedic Implant Infection in Mice

Background Recent advances in non-invasive optical, radiographic and μCT imaging provide an opportunity to monitor biological processes longitudinally in an anatomical context. One particularly relevant application for combining these modalities is to study orthopaedic implant infections. These infections are characterized by the formation of persistent bacterial biofilms on the implanted materials, causing inflammation, periprosthetic osteolysis, osteomyelitis, and bone damage, resulting in implant loosening and failure. Methodology/Principal Findings An orthopaedic implant infection model was used in which a titanium Kirshner-wire was surgically placed in femurs of LysEGFP mice, which possess EGFP-fluorescent neutrophils, and a bioluminescent S. aureus strain (Xen29; 1×103 CFUs) was inoculated in the knee joint before closure. In vivo bioluminescent, fluorescent, X-ray and μCT imaging were performed on various postoperative days. The bacterial bioluminescent signals of the S. aureus-infected mice peaked on day 19, before decreasing to a basal level of light, which remained measurable for the entire 48 day experiment. Neutrophil EGFP-fluorescent signals of the S. aureus-infected mice were statistically greater than uninfected mice on days 2 and 5, but afterwards the signals for both groups approached background levels of detection. To visualize the three-dimensional location of the bacterial infection and neutrophil infiltration, a diffuse optical tomography reconstruction algorithm was used to co-register the bioluminescent and fluorescent signals with μCT images. To quantify the anatomical bone changes on the μCT images, the outer bone volume of the distal femurs were measured using a semi-automated contour based segmentation process. The outer bone volume increased through day 48, indicating that bone damage continued during the implant infection. Conclusions/Significance Bioluminescent and fluorescent optical imaging was combined with X-ray and μCT imaging to provide noninvasive and longitudinal measurements of the dynamic changes in bacterial burden, neutrophil recruitment and bone damage in a mouse orthopaedic implant infection model.
Fixed points and stability in nonlinear neutral Volterra integro-differential equations with variable delays

Abstract. In this paper we use the contraction mapping theorem to obtain asymptotic stability results of the zero solution of a nonlinear neutral Volterra integro-differential equation with variable delays. Some conditions which allow the coefficient functions to change sign and do not ask the boundedness of delays are given. An asymptotic stability theorem with a necessary and sufficient condition is proved, which improve and extend the results in the literature. Two examples are also given to illustrate this work.
Performance comparison of pulse width modulated resonant mode DC/DC converters for space applications

Three resonant converter topologies-series, parallel, and series-parallel-are analyzed. Simple analytical expressions are derived to exhibit natural characteristics of the converters. The performance of each topology is presented, and the performances are compared. The series converter has better full-load to no-load efficiency, and a lower total volt-ampere rating than the other two topologies. The pulse-width modulated technique permits the operation of the series converter at no-load. Consequently, the series converter topology is recommended for all applications except low-voltage, high-current outputs. For these latter outputs, the series-parallel converter topology is preferred. <<ETX>>
Towards More Usable Mobile Application Development

We define more usable mobile applications as those that are human-centred, pro-active, and shield users from the technical and technological implementations. This paper presents the results of our attempt in designing and developing more usable mobile applications through the integration of various mobile and wireless technologies and the adoption of context-aware computing. We present our context-grid framework for the effective management of context information and implementation of context-awareness in mobile applications. Two context-aware mobile system prototypes, context-aware retail system (CARS) and Sentosa X3, are presented to demonstrate the effectiveness of our approach and framework
Modelling Requirements for Computer Simulation of Metal Machining

Machining modelling efforts are summarised and some important shortcomings of these are presented. The reasons for these shortcomings have been investigated. The investigations are based on machining simulation research and accompanying experimental studies. The reasons are found to be mainly in the approaches taken towards modelling the mesh and boundary conditions, the flow stress of the workpiece material and the frictional properties at the interface between the chip and the cutting tool. The handlings of the extremely high temperature increases and the mechanism taking place during separation of the chip from the workpiece by the tool are also among the significant reasons. The aim of this paper is to present some solutions towards modelling these aspects of machining.
Robust Stability for Nonlinear Discrete-time Systems with Interval Time-varying Delay

This paper considers the robust stability of linear discrete-time systems with nonlinear perturbations and interval time-varying delay in the state. By using a finite sum inequality approach, new delay-range-dependent stability criteria are developed in terms of linear matrix inequalities (LMIs). It is shown that the proposed criteria can provide less conservative results than some existing ones. A numerical example is included to demonstrate the effectiveness of the proposed approach.
Cell-RRT: Decomposing the environment for better plan

In order to define an architecture for task and motion planning of a mobile robot, we propose the Cell-RRT path planner that combines the advantages of planning approaches by decomposition of the environment and the advantages of probabilistic approaches. Experiments of the method for various decomposition granularities and various adjustments of the planner settings show that using a bias towards the goal while choosing a random configuration reduces the paths length but can cause failures, that the choice of the criterion for analysing the environment is important, and that the method can profit from a reuse of already made computations in a part of the environment.
BPP: Large Graph Storage for Efficient Disk Based Processing

Processing very large graphs like social networks, biological and chemical compounds is a challenging task. Distributed graph processing systems process the billion-scale graphs efficiently but incur overheads of efficient partitioning and distribution of the graph over a cluster of nodes. Distributed processing also requires cluster management and fault tolerance. In order to overcome these problems GraphChi was proposed recently. GraphChi significantly outperformed all the representative distributed processing frameworks. Still, we observe that GraphChi incurs some serious degradation in performance due to 1) high number of non-sequential I/Os for processing every chunk of graph; and 2) lack of true parallelism to process the graph. In this paper we propose a simple yet powerful engine BiShard Parallel Processor (BPP) to efficiently process billions-scale graphs on a single PC. We extend the storage structure proposed by GraphChi and introduce a new processing model called BiShard Parallel (BP). BP enables full CPU parallelism for processing the graph and significantly reduces the number of non-sequential I/Os required to process every chunk of the graph. Our experiments on real large graphs show that our solution significantly outperforms GraphChi.
A Study of Organizational Citizenship Behaviour (OCB) and Its Dimensions: A Literature Review

Organizational Citizenship Behaviour (OCB) has been explored and researched by scholars for more than twenty five years and it continues to be an area of interest for scholars. OCB refers to the voluntary behaviour/s exhibited by the employees while in the organization, as good citizens of the organization. This paper is an effort to understand the meaning, nature and scope of OCB and the paper also attempts to study the various dimensions of OCB. There is a detailed discussion on the five dimensions of OCB given by Organ (1988) and the paper also makes reference to other dimensions of OCB given by various scholars from time to time.
Investigating the Growth Paths of Young Technology-Based Firms: A Process Approach

Young technology-based firms are widely recognised as important drivers of economic renewal and growth. Many statistical studies have been carried out to ascertain the attributes of the more successful ventures. Most studies are based associations between measures of firms’ growth and other firms’ attributes, taken out of context. The internal developmental processes of these new ventures, viewed holistically, have not received attention in the research literature. Cross-sectional analyses of variance cannot reveal cumulative dynamic processes at work within firms, while case studies on new firms have lacked a generic conceptual framework capable of providing a systematic basis for comparison.This report aims to complement findings from the dominant research approach by explicitly addressing new firms' internal development processes. To summarise unfolding growth experience over time in new firms, a quantitative analysis has been conducted on an exploratory basis. A new data set was created tracing over a period of eight years, the growth of a cohort of 136 German technology-based firms incorporated in 1991/9 . New compression techniques were devised that preserve information on internal change over time within firms. This analysis provides a quantitative background to an in-depth examination of 15 case studies undertaken to identify internal firm development processes. The analytic framework, inspired by the work of Penrose, provides a systematic way of comparing firms' growth experience. An exemplar is provided here together with an exposition of the conceptual framework.It is shown that the typical growth paths of even a relatively successful cohort of survivor firms feature growth spurts, growth interruptions and temporary stagnation, evidence of which is concealed in standard studies of aggregate growth rates. The report explores the reasons for these patterns, using detailed case evidence. The ‘new venture development framework’ explains the prevalence of these growth patterns with reference to the entrepreneurs' evolving business concept and the firms' resource base and market opportunities. This pilot study shows that it is possible to understand and compare new firm growth by using contextual observations at the level of the firm. This provides rich material to inform support agencies and entrepreneurs facing growth problems of new firms in the field.
Indexing for summary queries

Database queries can be broadly classified into two categories: reporting queries and aggregation queries. The former retrieves a collection of records from the database that match the query's conditions, while the latter returns an aggregate, such as count, sum, average, or max (min), of a particular attribute of these records. Aggregation queries are especially useful in business intelligence and data analysis applications where users are interested not in the actual records, but some statistics of them. They can also be executed much more efficiently than reporting queries, by embedding properly precomputed aggregates into an index. However, reporting and aggregation queries provide only two extremes for exploring the data. Data analysts often need more insight into the data distribution than what those simple aggregates provide, and yet certainly do not want the sheer volume of data returned by reporting queries. In this article, we design indexing techniques that allow for extracting a statistical summary of all the records in the query. The summaries we support include frequent items, quantiles, and various sketches, all of which are of central importance in massive data analysis. Our indexes require linear space and extract a summary with the optimal or near-optimal query cost. We illustrate the efficiency and usefulness of our designs through extensive experiments and a system demonstration.
Role of Radiotherapy in Modern Treatment of Hodgkin's Lymphoma

Hodgkin's Lymphoma was incurable until the advent of effective therapeutic radiation around the first half of the 20th century. As survival rates improved, the long-term toxicities from radiotherapy began to emerge. This together with the availability of effective chemotherapy has encouraged a combined modality approach for early-staged disease and the omission of radiotherapy in advanced-staged disease. The differing toxicities of radiotherapy and chemotherapy has promoted ongoing research to identify the utility of each of these modalities in the modern management of Hodgkin's Lymphoma. This article will provide a critical review of the developments and indications for modern radiotherapy, in context with advances in chemotherapy, for the treatment of Hodgkin's Lymphoma.
The effects of the compatiblity properties of to-be-ignored stimuli on responding to a target

The compatibility effect found in the flanker task is usually explained in terms o f response slowing due to incompatible flanker properties. It is as yet unclear whether the compatibility effect is also due to facilitative effects associated with compatible flanker properties. An extension o f the Continuous Flow model put forward by Eriksen & Schultz (1979) namely the “Accumulated Activation Strength Difference” (AASD) model is proposed that maintains both response facilitation due to compatible flanker properties, and response slowing due to incompatible flanker properties, takes place under conditions where there is response competition. A series o f flanker task experiments were conducted that presented 2, 4 or 6 flankers and combined flanker types in terms o f their compatibility. It was found that flanker conditions that contained an equal number o f compatible and incompatible flankers generated faster RTs than conditions that contained purely incompatible flankers. There was also no difference in RTs fo r incompatible flanker conditions or compatible flanker conditions whether there were 2, 4 or 6 flankers. This suggests that the effects o f compatible and incompatible flankers cancel each other out. Furthermore, another experiment varied the ratio o f compatible to incompatible flankers in a 4 flanker array. It was found that the ratio o f compatible to incompatible flankers within a stimulus array mediates the magnitude o f the compatibility effect. There is some evidence that this effect also occurs across different stimulus dimensions. The model also offers an explanation fo r why no response facilitation is observed fo r compatible trials compared to target alone trials and can account fo r how the patterns o f errors in flanker tasks usually mirror the RT data. However, the model is incomplete, fo r example, it makes no a ttempt to account fo r how neutral flanker properties affect responding.
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In contemporary Optimality Theoretic research (OT, Prince and Smolensky 1993), the focus has been primarily on constraint typology and the role of constraints in assessing the relative ‘harmony’ of candidate outputs. Representational issues and, especially, questions pertaining to possible restrictions imposed by representational assumptions on the phonological make-up of linguistic forms have received little attention. This paper aims at exploring, among other things, such restrictions on Freedom of Analysis. The empirical investigation focuses on lexical accent systems and, in particular, Greek and Russian. In such systems, stress can occur on any syllable of the word regardless of syllable structure, weight or edgeorientation. Accentuation can be straightforwardly accounted for only if direct reference to morphological constituent structure and the inherent accentual properties of morphemes is assumed. Although the literature is replete with examples of morpho-accentual processes and discussions of the formal problems they pose for phonological theory, some issues still need to be further explored. In this paper, the focus is on the representation of lexical accents and the interface constraints that control accentuation. There is little consensus in the literature regarding the way lexically-encoded information is represented. Most representational approaches attribute unpredictable or irregular stress to differences in the lexical specification of certain morphemes. For instance, in a language like Greek, the contrast between mona ! xos ‘alone’ and monaxo ! s ‘monk’ derives from the different accentual status of the root. In the former word, the root bears an accent itself, whereas in the latter word, the root is post-accenting; that is, it places its inherent accent on the following element, i.e. the suffix -os. Likewise, an affix may require its inherent accent to land on the immediately preceding morpheme as in the case of the pre-accenting genitive singular ending -u, e.g. an! ro ! p-u ‘man-GEN.SG’. However, as we will show in the ensuing sections, analyses that adopt a representational
Simulation optimization applied to injection molding

In this work, a simulation optimization method developed by Villarreal and Cabrera-Rios (2007) is applied to injection molding. The method uses design of experiments and adaptive metamodeling techniques. The application of the method to several global optimization test functions as well as non linear polynomial and non polynomial functions point towards a quick convergence to highly attractive solutions with a low number of simulations. Here the method is used to select the best processing conditions for injection molding a simple rectangular plaque and a real automotive part using different performance criteria.
Supervised learning to detect DDoS attacks

In this research, we explore the performances of two supervised learning techniques and two open-source network intrusion detection systems (NIDS) on backscatter darknet traffic. We employ Bro and Corsaro open-source systems as well as the CART Decision Tree and Naive Bayes machine learning classifiers. While designing our machine learning classifiers, we used different sizes of training/test sets and different feature sets to understand the importance of data pre-processing. Our results show that a machine learning base approach can achieve very high performance on such backscatter darknet traffic without using IP addresses and port numbers.
Attenuation of p38-Mediated miR-1/133 Expression Facilitates Myoblast Proliferation during the Early Stage of Muscle Regeneration

Myoblast proliferation following myotrauma is regulated by multiple factors including growth factors, signal pathways, transcription factors, and miRNAs. However, the molecular mechanisms underlying the orchestration of these regulatory factors remain unclear. Here we show that p38 signaling is required for miR-1/133a clusters transcription and both p38 activity and miR-1/133 expression are attenuated during the early stage of muscle regeneration in various animal models. Additionally, we show that both miR-1 and miR-133 reduce Cyclin D1 expression and repress myoblast proliferation by inducing G1 phase arrest. Furthermore, we demonstrate that miR-133 inhibits mitotic progression by targeting Sp1, which mediates Cyclin D1 transcription, while miR-1 suppresses G1/S phase transition by targeting Cyclin D1. Finally, we reveal that proproliferative FGF2, which is elevated during muscle regeneration, attenuates p38 signaling and miR-1/133 expression. Taken together, our results suggest that downregulation of p38-mediated miR-1/133 expression by FGF2 and subsequent upregulation of Sp1/Cyclin D1 contribute to the increased myoblast proliferation during the early stage of muscle regeneration.
Towards Designing a Multi-Modal Neuronal Recording for a Non-Human Primate - an EEG/SEP Study

An electrode cap was developed to record electroencephalography (EEG) and somatosensory evoked potentials (SEP) on a trained awake Rhesus macaque. The results proved that EEG and SEP can be reliably recorded from a trained awake macaque using an electrode cap enabling further studies on electrode sensitivity using a macaque model.
G2WS: Gloss-based WordNet and Wiktionary semantic Similarity measure

Computing Semantic Similarity (SS) between words is an important issue of many research fields. Several features from knowledge databases can be involved in the definition of semantic computing models. Gloss-based approaches exploit the short and precise description for a concept for better expressing its semantics. In this paper, we propose a new Gloss-based WordNet and Wiktionary semantic Similarity (G2WS) measure between words. In fact, the computational model is based on a noun factors computed using the glosses of the ancestors assigned to a specific concept within the WordNet “is a” taxonomy. The factorW of each noun is provided using an Information Content (IC) measure. The set of glosses assigned to each concept in WordNet are enriched by those from Wiktionary. Our work has been evaluated and compared with related works using a wide set of benchmarks conceived for word semantic similarity task. Obtained results show that the new similarity measure correlated better with human judgments than related works.