Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review of Current Regenerative Medicine Strategies that Utilize Nanotechnology to Treat Cartilage Damage

Background: Cartilage is an important tissue found in a variety of anatomical locations. Damage to cartilage is particularly detrimental, owing to its intrinsically poor healing capacity. Current reconstructive options for cartilage repair are limited, and alternative approaches are required. Biomaterial science and Tissue engineering are multidisciplinary areas of research that integrate biological and engineering principles for the purpose of restoring premorbid tissue function. Biomaterial science traditionally focuses on the replacement of diseased or damaged tissue with implants. Conversely, tissue engineering utilizes porous biomimetic scaffolds, containing cells and bioactive molecules, to regenerate functional tissue. However, both paradigms feature several disadvantages. Faced with the increasing clinical burden of cartilage defects, attention has shifted towards the incorporation of Nanotechnology into these areas of regenerative medicine. Methods: Searches were conducted on Pubmed using the terms “cartilage”, “reconstruction”, “nanotechnology”, “nanomaterials”, “tissue engineering” and “biomaterials”. Abstracts were examined to identify articles of relevance, and further papers were obtained from the citations within. Results: The content of 96 articles was ultimately reviewed. The literature yielded no studies that have progressed beyond in vitro and in vivo experimentation. Several limitations to the use of nanomaterials to reconstruct damaged cartilage were identified in both the tissue engineering and biomaterial fields. Conclusion: Nanomaterials have unique physicochemical properties that interact with biological systems in novel ways, potentially opening new avenues for the advancement of constructs used to repair cartilage. However, research into these technologies is in its infancy, and clinical translation remains elusive.
Universiteit Antwerpen Faculteit Wetenschappen Departement Wiskunde – Informatica 2005 – 2006 Coevolution of Software and Tests An Initial Assessment

Unit testing is the first line of defence against software failure. To make the most of this technique the test code should evolve simultaneously with the product code. First, this dissertation explores the possibilities of using dynamic analysis to extract test dependencies. Then we investigate whether heuristic metrics on these dynamic test dependencies provide a measure for the degree to which the test code evolves with the product code. As a case study we use Apache Ant and look specifically at two different phases in the history of this open source project. We conclude that dynamic test dependencies alone do not suffice to provide such a measure and we propose an alternative solution.
Tracking vision system for real-time motion analysis

This paper describes a high-speed motion tracking system based on full-search correlation matching. Incorporating the Advanced Correlation Processor, which computes more than 500 motion vectors per frame, the system enables the detection and tracking of moving objects at a video rate. The system is implemented on a single board and can be mounted inside a PC. Thus, it is compact and economical, and is well suited for a wide variety of applications such as automatic surveillance, traffic monitoring and sports play analysis.
Modeling and Simulation Vehicle Air Brake System

Air brake system has been widely used in heavy trucks and intercity buses for its great superiority over other brake system. The practical performance of air brake system may be greatly different from if we analyze it with static theory. Thus, it is necessary to build an integrate air brake system model to simulate the process of brake accurately. However, the dynamic mathematic model of air brake system is very complicate, which makes the model hard to be solved. In this paper, the components of air brake system are decomposed to several basic standard pneumatic components, and then build the system based on these basic standard pneumatic components. The standard pneumatic components which are built in the softwareMWorks based on Modelica language include cylinder, nozzle, air reservoir, volume, and air pipe. An air brake system which contains brake valve, relay valve, brake chambers and pipelines is made based on the standard pneumatic components. The simulation results show the dynamic characteristics of air brake system.
Association of 5-Methylcytosine and 5-Hydroxymethylcytosine with Mitochondrial DNA Content and Clinical and Biochemical Parameters in Hepatocellular Carcinoma

Increasing epidemiological evidence has indicated that inherited variations of mitochondrial DNA (mtDNA) copy number affect the genetic susceptibility of many malignancies in a tumour-specific manner and that DNA methylation also plays an important role in controlling gene expression during the differentiation and development of hepatocellular carcinoma (HCC). Our previous study demonstrated that HCC tissues showed a lower 5-hydroxymethylcytosine (5-hmC) content when compared to tumour-adjacent tissues, but the relationship among 5-hmC, 5-methylcytosine (5-mC) and mtDNA content in HCC patients is still unknown. This study aimed to clarify the correlation among mtDNA content, 5-mC and 5-hmC by quantitative real-time PCR and liquid chromatography tandem mass spectrometry analysis. We demonstrated that 5-hmC correlated with tumour size [odds ratio (OR) 0.847, 95% confidence interval (CI) 0.746–0.962, P = 0.011], and HCC patients with a tumour size ≥5.0 cm showed a lower 5-hmC content and higher levels of fasting plasma aspartate aminotransferase, the ratio of alanine amiotransferase to aspartate aminotransferase, γ-glutamyltransferase, alpha-fetoprotein than those with a tumour size <5 cm (all P<0.05). We further revealed that the mtDNA content of HCC tumour tissues was 225.97(105.42, 430.54) [median (25th Percentile, 75th Percentile)] and was negatively correlated with 5-mC content (P = 0.035), but not 5-hmC content, in genomic DNA from HCC tumour tissues.
A Complete Unification Algorithm for Associative-Commutative Functions

An important component of mechanical theorem proving systems are unification algorithms which find most genaral substitutions which, when applied to two expresssions, maka them equivalent. Functions which are associative and commutative (such as the arithmetic addition and multiplication functions) are often the subject of mechanical theorem proving. An algorithm which unifies terms whose function is associativa and commutative is presented here The algorithm eliminates the need for axiomatizing the associativity and commutativity properties and returns a complete set of unifiers without recourse to the indefinite generation of vurianU and instances of the terms being unified required by previous solutions to the problem.
A bi-convex optimization problem to compute Nash equilibrium in n-player games and an algorithm

In this paper we present optimization problems with biconvex objective function and linear constraints such that the set of global minima of the optimization problems is the same as the set of Nash eqilibria of a n-player general-sum normal form game. We further show that the objective function is an invex function and consider a projected gradient descent algorithm. We prove that the projected gradient descent scheme converges to a partial optimum of the objective function. We also present simulation results on certain test cases showing convergence to a Nash equilibrium strategy.
Distribution of the smallest eigenvalue of complex central semi-correlated Wishart matrices

The complex central semi-correlated Wishart matrix is the product of a zero-mean row-wise correlated (or columnwise correlated) complex Gaussian matrix and its Hermitian transposition. In this paper, we investigate the distribution of the smallest eigenvalue of the Wishart matrix, which is generated from the square Gaussian matrix. A closed-form expression for distribution of the smallest eigenvalue is derived. Compared with previous results, our expression is very concise, since the distribution has been known in terms of matrix determinants. Numerical results that confirm the expression are also presented. And a complicated equality is proved due to the fact that our distribution is mathematically equivalent to those reported.
A Survey of Different Residential Energy Consumption Controlling Techniques for Autonomous DSM in Future Smart Grid Communications

In this work, we present a survey of residential load controlling techniques to implement demand side management in future smart grid. Power generation sector facing important challenges both in quality and quantity to meet the increasing requirements of consumers. Energy efficiency, reliability, economics and integration of new energy resources are important issues to enhance the stability of power system infrastructure. Optimal energy consumption scheduling minimizes the energy consumption cost and reduce the peak-to-average ratio (PAR) as well as peak load demand in peak hours. In this work, we discuss different energy consumption scheduling schemes that schedule the household appliances in real-time to achieve minimum energy consumption cost and reduce peak load curve in peak hours to shape the peak load demand.
Extraction and Analysis of Web Interviews

The amount of newspaper and blog articles keeps growing and the analysis of these unstructured data gains importance as well in research and in the business environment. As special kind of articles we like to focus on interviews. In contrast to regular articles, interviews consist of two or more speakers with different viewpoints. We propose a semi-supervised approach to detect webpages containing interviews. Our experiments show a high f-measure of 77.3% for a manually annotated test set. To apply text and author analysis approaches one needs to separate the excerpts for different authors and recognize their names. We present an extraction method of speakers and their corresponding text excerpts e.g. questions and answers. Based on the extracted text structure, we introduce first measures to understand the interviewer and interviewee.
Implementing path-exploration damping in the Quagga Software Routing Suite Version 0.99.10

Quagga is a software routing suite which provides implementations of various routing protocols for UNIX based platforms. It supports implementations of RIP, OSPF and BGP version 4. Path-exploration damping is one possible approach to filter out the path hunting phenomenon in BGP, in which a single prefix withdrawal event at the original announcement's origin may generate a large volume of subsequent updates as the routing sys- tem converges. Implementing path-exploration damping in Quagga, using version 0.99. 10, results in a fully operating routing suite which makes use of this technique. I. INTRODUCTION
Essential Cloud Security Features in Windows Azure

Cloud computing technology is recently gaining widespread popularity among business owners and consumers/users for hosting and delivering services over the Internet. This technology offers users on-demand access to shared resources, services, and applications with the Internet access by eliminating the need for tedious installation procedures. Security and privacy issues in cloud computing is one of the major barriers for the wide adoption of this emerging technology. In this paper, we first discuss the security and privacy guidelines pertinent to the public cloud computing environment as described by NIST. We then investigate different security features of the Microsoft Azure cloud computing platform and analyze how the security and privacy guidelines described by NIST are implemented in this cloud platform.
A General Unified Framework to Assess the Sampling Variance of Heritability Estimates Using Pedigree or Marker-Based Relationships

Heritability is a population parameter of importance in evolution, plant and animal breeding, and human medical genetics. It can be estimated using pedigree designs and, more recently, using relationships estimated from markers. We derive the sampling variance of the estimate of heritability for a wide range of experimental designs, assuming that estimation is by maximum likelihood and that the resemblance between relatives is solely due to additive genetic variation. We show that well-known results for balanced designs are special cases of a more general unified framework. For pedigree designs, the sampling variance is inversely proportional to the variance of relationship in the pedigree and it is proportional to 1/N, whereas for population samples it is approximately proportional to 1/N2, where N is the sample size. Variation in relatedness is a key parameter in the quantification of the sampling variance of heritability. Consequently, the sampling variance is high for populations with large recent effective population size (e.g., humans) because this causes low variation in relationship. However, even using human population samples, low sampling variance is possible with high N.
The factor structure of the BDI in facial pain and other chronic pain patients: a comparison of two models using confirmatory factor analysis.

OBJECTIVES 1) To compare two measurement models of the BDI in chronic pain sufferers to see which provides the better fit; 2) to assess whether model fit differs for a facial pain sample compared to a sample of pain sufferers attending a multidisciplinary pain clinic; and 3) to establish which affective and somatic sub-scales of the BDI could be used in chronic pain research. DESIGN Two groups of chronic pain sufferers, a facial pain group, and a group attending a multidisciplinary pain clinic completed self-report questionnaires on pain (Multidimensional Pain Inventory), depression (BDI), and measures of anxiety and depression-related pain cognitions (the Spielberger State-Trait Anxiety Inventory and the Pain Cognitions Questionnaire). The measurement models of the BDI were tested using LISREL structural equation modelling and their construct validity examined using partial correlation analysis. METHOD A total of 173 people attending a multidisciplinary pain clinic and 157 patients attending a facial pain clinic completed self-report measures of pain and mood prior to their respective clinical consultations. RESULTS The model offered by Novy et al. (containing one affective factor 'Negative-attitude suicide' and two somatic factors 'Performance difficulty' and 'Physiological manifestations') fitted both pain groups better than the model offered by Williams and Richardson (containing one affective factor 'Self-reproach', one somatic factor 'Somatic disturbance' and one factor with a mixture of both affective and somatic items 'Sadness about health'). However, when the factors were allowed to correlate in the latter model, both models were broadly equivalent. CONCLUSIONS The two measurement models adequately fitted data in both pain samples when the factors were allowed to intercorrelate in the Williams and Richardson model. Both the affective scales offered by both models could be used in future research, although the somatic factor offered by the Williams and Richardson model offered much higher levels of internal reliability than either of those offered in the Novy et al. model. The findings are discussed in relation to the issue of depression in chronic pain.
New Transmembrane AMPA Receptor Regulatory Protein Isoform, γ-7, Differentially Regulates AMPA Receptors

AMPA-type glutamate receptors (GluRs) mediate most excitatory signaling in the brain and are composed of GluR principal subunits and transmembrane AMPA receptor regulatory protein (TARP) auxiliary subunits. Previous studies identified four mammalian TARPs, γ-2 (or stargazin), γ-3, γ-4, and γ-8, that control AMPA receptor trafficking, gating, and pharmacology. Here, we explore roles for the homologous γ-5 and γ-7 proteins, which were previously suggested not to serve as TARPs. Western blotting reveals high levels of γ-5 and γ-7 in the cerebellum, where γ-7 is enriched in Purkinje neurons in the molecular layer and glomerular synapses in the granule cell layer. Immunoprecipitation proteomics shows that cerebellar γ-7 avidly and selectively binds to AMPA receptor GluR subunits and also binds to the AMPA receptor clustering protein, postsynaptic density-95 (PSD-95). Furthermore, γ-7 occurs together with PSD-95 and AMPA receptor subunits in purified postsynaptic densities. In heterologous cells, γ-7 but not γ-5 greatly enhances AMPA receptor glutamate-evoked currents and modulates channel gating. In granule cells from stargazer mice, transfection of γ-7 but not γ-5 increases AMPA receptor-mediated currents. Compared with stargazin, γ-7 differentially modulates AMPA receptor glutamate affinity and kainate efficacy. These studies define γ-7 as a new member of the TARP family that can differentially influence AMPA receptors in cerebellar neurons.
Topic-Based Chinese Message Polarity Classification System at SIGHAN8-Task2

This paper describes the topic-based Chinese message polarity classification system submitted by LCYS_TEAM at SIGHAN8-Task2. The system mainly includes two parts: 1) a graph-based ranking model integrating local and global information is adopted to represent the classification ability of words towards different topics. In construction of graph model, a new weighting approach and a PMI-based random jumping probability selection method is proposed. 2) For sentimental features, word embedding is employed for acquiring expanded topical words and syntactic dependency is adopted for getting topic-related sentimental words. Experiment results demonstrate the effectiveness of our system.
Evaluation of Seed Throwing Optimization Meta Heuristic in Terms of Performance and Parallelizability

Seed Throwing Optimization is an easy to implement probabilistic metaheuristic for multimodal function optimization with roots in hill climbing and the evolutionary computation like technique Harmony Search. It is a randomized Gradient Ascent with multiple initial states and the possibility to limit exploration to only paths which have shown potential. In this paper, the speed of convergence of Seed Throwing Optimization is compared to Multi-Level Gradient Ascent, Harmony Search, Particle Swarm Optimization and Simulated Annealing. Improvements of the Seed Throwing Optimization are presented. Parallelizability of the mentioned metaheuristics is examined. Parts which are suitable for parallelization are extracted by identifying data and control flow dependencies. Two applications, port optimization in minimally invasive surgery and network parameter optimization for a distributed robotic system, are shown. The presented methaheuristics are tested in a benchmark. The highest convergence speed could be achieved with Harmony Search and Seed Throwing Optimization. Keywords-Multimodal function optimization; Parallel computing; Port optimization in minimally invasive surgery; Network optimization.
DESIGNING AND IMPLEMENTING BI-LINGUAL MOBILE DICTIONARY TO BE USED IN MACHINE TRANSLATION

This paper describes the multistage process for building Arabic WordNet (ArWn) to be used in mobile device. The goal of this paper is how to create corpus, starting with selecting an annotation task, designing the data with the annotation process, and finally evaluating the results for a particular goal. Therefore, the paper presents designing and implementing bi-lingual lexicon to be used in machine translation and language processing. Consequently, the paper takes into consideration language characteristics in both directions Arabic and English. The proposed system is based on WordNet lexical database with a semantic and commonsense knowledge. The proposed dictionary will be implemented for mobile devices, therefore; the cloud computing will be used in this implementation. Consequently, SQL Azure will be used to solve scalability, and interoperability of mobile users and other methods have been used for both Arabic and English languages. So, the SQL Azure will be used as the cloud database to solve both the scalability in the data with scale terabytes of data to millions of mobile users and the interoperability challenges. The system dictionary is developed and tested in Android mobile platform. Experimental results show that the proposed system has two versionsat work; offline and online. The online approach uses the mobiles computing in the cloud system to reduce the storage complexity of the mobile. Real time test will be used in order to evaluate the system access and respond times to display results.
Documents with flexible Notation Contexts as Interfaces to Mathematical Knowledge

In this paper we explore the use of documents as interfaces to mathematical knowledge. We propose an augmented document model that facilitates the explication of a document’s notation context, i.e. the selection of appropriate presentations for all symbols in the document. By separating the notation context from the structure and content of a document, we aim at identifying the author’s selection of notation, i.e. his notation practices. This facilitates both, the identification of communities of practice (COP) that share specific notation preferences and, conversely, the adaptation of documents to the notation preferences of identified COPs, e.g. groups of readers and co-authors. Furthermore, explicating a document’s notation context allows for referencing and, particularly, reusing contexts, which reduces the author’s workload during the authoring process.
Comparison of OQPSK and CPM for Communications at 60 GHz with a Nonideal Front End

Short-range digital communications at 60 GHz have recently received a lot of interest because of the huge bandwidth available at those frequencies. The capacity offered to the users could finally reach 2 Gbps, enabling the deployment of new multimedia applications. However, the design of analog components is critical, leading to a possible high nonideality of the front end (FE). The goal of this paper is to compare the suitability of two different air interfaces characterized by a low peak-to-average power ratio (PAPR) to support communications at 60 GHz. On one hand, we study the offset-QPSK (OQPSK) modulation combined with a channel frequency-domain equalization (FDE). On the other hand, we study the class of continuous phase modulations (CPM) combined with a channel time-domain equalizer (TDE). We evaluate their performance in terms of bit error rate (BER) considering a typical indoor propagation environment at 60 GHz. For both air interfaces, we analyze the degradation caused by the phase noise (PN) coming from the local oscillators; and by the clipping and quantization errors caused by the analog-to-digital converter (ADC); and finally by the nonlinearity in the PA.
Exploring descriptive norms of parent-child communication about pornography among parents of middle-schoolers in the US

Abstract Exposure to pornography is becoming a reality for many adolescents. Open, frequent, and direct communication about pornography is needed, yet few investigations have explored this area. In aims of providing groundwork for future parent–child pornography communication investigations, the theory of normative social behavior was used to conduct 33 in-depth interviews with parents of at least one middle-school-aged child in the US. Interviews focused on descriptive norms related to societal beliefs about pornography, adolescent exposure to pornography, and the courses of actions that most parents undertake when adolescents are exposed to pornography. Articulated perceptions suggest that most parents view adolescent exposure to pornography as negative although exposure to pornography is becoming more normative for adolescents. Obstacles such as parental fear, discomfort, and a lack in sexual and technological communication openness/knowledge were conveyed. Recommendations related to strengthening parental education about pornography and the importance of overall positive parent–child relationships are offered.