Miracle-dz/UniFAR-FTUs huggingface dataset:
Technology and journalism: ‘Dissolving’ social media content into disaster reporting on three Chinese disasters

This article examines how three Chinese and two British newspapers sourced content from social media in their coverage of the 2008 Wenchuan Earthquake, the 2013 Ya'an Earthquake, and the 2015 Tianjin Explosion. The media outlets citing of social media content present different patterns in line with their political and commercial interests, ideologies, and journalistic values. Diverse images of the three disasters as revealed on social media (social media reality) were constructed in the newspapers' coverage. Journalists gate-keep information from social media and dissolve it into daily disaster reporting, accepting selected aspects of social media reality but rejecting others. Especially in the case of the Chinese newspapers, meeting the needs of domestic political and commercial interest groups, journalists endorse social media content that is favorable to these groups. In so doing, social media technologies are used and tailored to meet the needs of journalism.
MANPro: mobile agent-based negotiation process for distributed intelligent manufacturing

This paper examines negotiation procedures in an agent-based distributed shop floor control system (SFCS). A distributed SFCS is under a heterogeneous environment, which is controlled through negotiations between autonomous agents. The negotiation-based control can be considered as the core of a distributed control paradigm. An efficient information exchanging mechanism and an information model with reasonable structure are indispensable for effective negotiations. This paper proposes a novel negotiation mechanism, called a mobile agent-based negotiation process (MANPro), which applies a mobile agent system to the process of information exchange. Since using mobile agents allows each component to execute asynchronously and autonomously and to adapt dynamically to the execution environment, MANPro may guarantee autonomy of agents. Moreover, it is possible to build a fully distributed and autonomous SFCS by using MANPro. MANPro is based on the agent-based control architecture, which includes a communication architecture and an information architecture. The communication architecture provides the exchanging mechanism of information, defining functional modules to support the mechanism while the information architecture provides the framework for information modelling on negotiation, proposing information models required for introducing the ontology concept.
Serious cardiovascular side effects of large doses of anabolic steroids in weight lifters.

Pathological cardiovascular manifestations are reported in four male patients, who had taken massive amounts of anabolic steroids while undergoing many years of strength training. One patient was referred because of ventricular fibrillation during exercise, one because of clinically manifest heart failure, and one because of arterial thrombus in his lower left leg. The fourth patient was persuaded to attend for a check-up because of a long history of massive use of anabolic steroids. All four patients had cardiac hypertrophy. Two of the patients had symptoms and signs of heart failure, and one of these two had a massive thrombosis in both right and left ventricles of his heart. After cessation of the use of anabolic steroids in the other patient with heart failure, left ventricular wall thickness reduced quickly from 12 to 10.5 mm, and fractional shortening increased from 14% to 27%. Endomyocardial biopsy revealed increased fibrosis in the myocardium in two of the three cases. HDL-cholesterol was 0.58 mmol.l-1 and 0.35 mmol.l-1 in the two patients still using multiple anabolic steroids at the time of investigation. The cardiovascular findings described in the present paper should warn all physicians and athletes about the possible serious acute and long-term side effects of the massive use of anabolic steroids.
Use of neural networks in forecasting financial market

This paper studies solutions for forecasting option prices in a volatile financial market. It reviews a mathematical model based on traditional Black-Scholes parametric solution. Then, uses neural networks and compares the results with the conventional method. Twenty year data from S&P 500 index call option prices was used in this study. Initially simple neural network was implemented. The prediction results of simple neural networks were better than that of conventional Black-sholes. A hybrid neural network was designed that employed some aspects of Black-Scholes model. The hybrid neural network outperformed the tradition forecasting model and improved prediction results of simple neural networks.
A Single Layer Reflectarray Antenna for C/X/Ka Bands Applications

This paper proposes a novel tri-band reflectarray antenna design. The antenna consists of three different types of elements: split circular ring for Ka band operation, split square loop for C band operation, and cross-dipole element for X band operation. An advantage of the antenna is that all three types of elements are aligned and fabricated on a single layer of substrate. This single-layer design will be significantly simpler to fabricate with lower cost than the traditional multilayer designs.
Language trees , zipping and error estimation Toni Giorgino

A method was recently proposed to estimate distances between a pair of given texts. The distance estimation appeared to be reliable enough to infer a phylogenic tree of languages, even though no error estimation has been provided. This essay reviews the method and explains its application for inferring phylogeny on a collection of heterogeneous texts. An approach for estimating the confidence of the classification is introduced and the results are discussed. 1 Background and method A simple method for estimating a “distance” between a pair of given text was recently described in a paper [1], which attracted attention and criticism [2]. Its simplicity and the lack of assumptions on the nature of texts, however, make it an appealing technique for evaluating distance matrices. A (symmetric) distance matrix contains an entry for each pair of items, i.e., texts from different sources. The authors propose a distance DAB reported in the appendix and show ∗Questa è la tesina conclusiva del primo anno della scuola SAFI, scritta per il corso “Linguaggio ed Evoluzione” tenuto dai proff. Cavalli-Sforza e Wang.
Web Service Recommendation Based on Time Series Forecasting and Collaborative Filtering

Quality of Service (QoS) has been widely used for personalized Web service recommendation. Since QoS information usually cannot be predetermined, how to make personalized QoS prediction precisely becomes a challenge of Web service recommendation. Time series forecasting and collaborative filtering are two mainstream technologies for QoS prediction. However, on one hand, existing time series forecasting approaches based on Auto Regressive Integrated Moving Average (ARIMA) models do not take the latest observation as a feedback to revise forecasts. Moreover, they only focus on predicting future QoS values for each individual Web service. Service users' personalized factors are not taken into account. On the other hand, collaborative filtering facilitates user-side personalized QoS evaluation, but rarely precisely models the temporal dynamics of QoS values. To address the limitations of existing QoS prediction methods, this paper proposes a novel personalized QoS prediction approach considering both the temporal dynamics of QoS attributes and the personalized factors of service users. Our approach seamlessly combines collaborative filtering with improved time series forecasting which uses Kalman filtering to compensate for shortcomings of ARIMA models. Finally, the experimental results show that the proposed approach can improve the accuracy of personalized QoS prediction significantly.
RNA-Binding Domain in the Nucleocapsid Protein of Gill-Associated Nidovirus of Penaeid Shrimp

Gill-associated virus (GAV) infects Penaeus monodon shrimp and is the type species okavirus in the Roniviridae, the only invertebrate nidoviruses known currently. Electrophoretic mobility shift assays (EMSAs) using His6-tagged full-length and truncated proteins were employed to examine the nucleic acid binding properties of the GAV nucleocapsid (N) protein in vitro. The EMSAs showed full-length N protein to bind to all synthetic single-stranded (ss)RNAs tested independent of their sequence. The ssRNAs included (+) and (−) sense regions of the GAV genome as well as a (+) sense region of the M RNA segment of Mourilyan virus, a crustacean bunya-like virus. GAV N protein also bound to double-stranded (ds)RNAs prepared to GAV ORF1b gene regions and to bacteriophage M13 genomic ssDNA. EMSAs using the five N protein constructs with variable-length N-terminal and/or C-terminal truncations localized the RNA binding domain to a 50 amino acid (aa) N-terminal sequence spanning Met11 to Arg60. Similarly to other RNA binding proteins, the first 16 aa portion of this sequence was proline/arginine rich. To examine this domain in more detail, the 18 aa peptide (M11PVRRPLPPQPPRNARLI29) encompassing this sequence was synthesized and found to bind nucleic acids similarly to the full-length N protein in EMSAs. The data indicate a fundamental role for the GAV N protein proline/arginine-rich domain in nucleating genomic ssRNA to form nucleocapsids. Moreover, as the synthetic peptide formed higher-order complexes in the presence of RNA, the domain might also play some role in protein/protein interactions stabilizing the helical structure of GAV nucleocapsids.
A Visualization method for machine translation evaluation results

To make it easier to understand the machine translation evaluation results, a curve is utilized to stand for the performance of a machine translation system. The position of the curve in the graph depicts the quality of the system. The upper left curve stands for higher translation quality. System clustering is made and its dendrogram illustrates the quality difference between systems. These two methods visualize the machine translation evaluation results.
Characteristic Numbers and Generalized Path Integrals

This is an extended write-up of a talk given in April, 1993 in honor of Raoul Bott's 70th birthday. We first illustrate how some traditional topological and geometric invariants obey ``gluing laws'' inspired by those in classical and quantum field theory. Here we discuss characteristic numbers, particularly the Euler number of a complex line bundle over an oriented surface. In the second part of the paper we show how path integrals give rise to invariants which obey gluing laws. The argument is formal in general, but for a particular example of invariants related to finite groups it is rigorous. In that ``toy model'' we show how to go further and generalize the path integral to obtain more exotic gluing laws. This idea was used--at least in this toy model--to directly construct quantum groups from 3 dimensional Chern-Simons invariants.
Disaggregating household loads via semi-supervised multi-label classification

The essence of Non-Intrusive Load Monitoring (NILM) is to extract electricity consumption details of individual appliance from an aggregated house-level electrical measurement at the main panel without sub-metering each appliance. In this paper, an Expectation Maximization (EM) based semi-supervised multi-label classification technique is applied in NILM. It requires a one-time registration of individual appliance to obtain few samples during the training stage. After that, the total electricity is utilized to detect the states of each appliance and analyze electricity consumption information of individual appliance for each instance via the help of semi-supervised learning method. Experiments on house 1 and house 3 dataset of Reference Energy Disaggregation Dataset (REDD) verify the effectiveness of application of Semi-supervised learning techniques in NILM.
An ontological approach for planning and scheduling in primary steel production

Effective integration between manufacturing execution systems and business and logistics systems has been of great interest for a long time. Essential part in enterprise integration is the task of optimal planning and scheduling. An ontological approach consisting of integrated ontologies: a core meta-ontology, according to ANSI/ISA S95 standard and different domain specific ontologies for the primary steelmaking is proposed. For the purposes of planning and scheduling the integration between the core meta-ontology and a hot strip mill domain ontology is achieved and a case study is presented. Web Ontology Language (OWL) and Protege as an editor and knowledge acquisition tool are used.
Distributed and parallel subarray beamforming for near-field 3D sonar imaging

The computational load is prohibitive in 3D sonar systems for real-time image generation. In the literature, an efficient frequency beamforming method based on the distributed and parallel subarray (DPS) has been introduced for planar arrays working in the far field. This paper extends the DPS beamforming algorithm to process the signals acquired from a scene in the near field. The algorithm divides the full populated transducer array into two stage distributed subarrays. It performs parallel beamforming on the first-stage subarrays and applies the approximation for time delays in the near-field beam patterns of the second-stage subarray. The computational efficiency is significantly improved as compared with the traditional methods, while achieving the similar resolutions. In addition, a multi-FPGA signal processor is proposed for implementing the underwater 3-D imaging.
Public sector deficits and macroeconomic stability in developing economies (commentary)

First of all, I would like to thank the Federal Reserve Bank of Kansas City for the invitation to this conference. The comments I will make are based on my own personal experience in Chile, where I have been responsible for fiscal policy since the beginning of the democratic government in March 1990. What makes this experience interesting is that Chile has had a public savings rate of over 5 percent of GDP since 1988, and a budget surplus in excess of 1.5 percent of GDP for the same period. During this period, the economy has grown at 7 percent a year and inflation has been reduced significantly. In a period in which maintaining a balanced budget has become a tough political objective, I would like to comment on the causes or factors that, according to our experience, have contributed to our budget surplus. In the first place, I would like to stress the importance of a firm political commitment to the objective of fiscal equilibrium. If this objective is not given top priority and put before other political objectives, it is extremely easy for the budget to become an adjustment variable. Our past history of hyperinflation and very high rates of open unemployment contribute to the high priority now given to fiscal balance and macrostability. However, political commitment is not enough (as revealed by the large number of governments that are committed to this objective but fail to deliver). Many countries 375
Probabilistic Characterization of Pose Uncertainty under Self Occlusion

In this paper, we study the uncertainty in human body pose from 2D silhouette observations. Under perspective imaging, the loss of depth information and self-occlusion of the articulating limbs result in multiple 3D poses mapping on to similar 2D silhouettes. This introduces ambiguity in using the silhouette for inference, particularly in capturing human motion. To characterize this uncertainty, we present an algorithm which approximates the probability map from a silhouette to its possible 2D poses by sampling efficiently on a 2D pose space. This algorithm is driven using a articulated human body model as a prior and does not require any training, or prior assumption on the motion. When a temporal observation sequence is available (such as a video) temporal smoothness can be used to further prune the uncertainty space. Further, we show that the probability maps from different camera views can be geometrically fused to obtain the pose uncertainty distribution in 3D space. Finally, the entropy of the posterior distribution is used as a measure for quantizing the amount of information encoded by the silhouette. This has applications in perceptual grouping of silhouettes and in view selection for multi-camera networks. We also show that the pose uncertainty decreases with number of camera views as well as consecutive frame observations from video. We also verified the pose estimation (both single and multi-view) over standard motion capture datasets.
Systematic review of train the trainer effectiveness in behavioral intervention for individuals with autism is inconclusive and requires greater specificity

This review provides a summary and appraisal commentary on the treatment review by Shire, S. Y. , & Kasari, C. (2014). Train the trainer effectiveness trials of behavioral intervention for individuals with autism: A systematic review. American Journal on Intellectual and Developmental Disabilities, 119 (5), 436–451. http://dx.doi. org/10.1352/1944–7558-119.5. 436 Source of funding and disclosure of interests: No source of funding reported. No disclosures reported.
Comparative Study of Web Page Ranking Algorithms

With the exponential growth of information on web, getting relevant information regarding user query through search engines is a tedious job today. Several search engines use link analysis algorithms to rank the web pages according to the need. But these algorithms are still lacking with efficiency, scalability and relevancy issues. This paper put forward survey of various improved ranking algorithms and their pros and cons. Further, we have included comparative study of various ranking algorithms mainly PageRank and HITS based on computation environments like Sequential, Parallel. This will help scientist, researchers, and academicians working in this area to understand the existing algorithms and develop one which is need of today's environment.
Shape Matching with Belief Propagation: Using Dynamic Quantization to Accomodate Occlusion and Clutter

Graphical models provide an attractive framework for shape matching because they are well-suited to formulating Bayesian models of deformable templates. In addition, the advent of powerful inference techniques such as belief propagation (BP) has recently made these models tractable. However, the enormous size of the state spaces involved in these applications (about the size of the pixel lattice) has restricted their use to models drawing on sparse feature maps (e.g. edges), which are typically unable to cope with missing or occluded features since the locations of missing features are not represented in the state space. We propose a novel method for allowing BP to handle partial occlusions in the presence of clutter, which we call dynamic quantization (DQ). DQ is an extension of standard pruning techniques which allows BP to adaptively add as well as subtract states as needed. Since DQ allows BP to focus on more probable regions of the image, the state space can be adaptively enlarged to include locations where features are occluded, without the computational burden of representing all possible pixel locations. The combination of BP and DQ yields deformable templates that are both fast and robust to significant occlusions, without requiring any user initialization. Experimental results are shown on deformable templates of planar shapes.
Brain circulation and flexible adjustment: labour mobility as a cluster advantage

Abstract. This article explores the role of labour mobility as a potential cluster advantage. We review the theoretical arguments as for how and why labour mobility could enhance the dynamism and performance of clusters of similar and related firms. A combination of quantitative and qualitative data from two information and communication technology (ICT) clusters is used to answer two research questions: (1) What is the role of mobility enhancing (or restricting) institutions in clusters? and (2) In what ways does labour mobility contribute to knowledge transfer within clusters? The two ICT clusters studied in the article generally seem to have higher levels of mobility, compared to the labour market at large. Although it is regarded as beneficial in theory, most cluster firms try to restrict mobility of workers since they fear the risk and costs of losing staff. Labour mobility is also rarely viewed as a viable way to increase the knowledge bases or contact networks of firms. However, when firms need to recruit the clustered labour markets seem to benefit them by facilitating the use of informal recruitment processes. By way of conclusion it is suggested that cluster firms might be under‐investing in mobility and that innovative institutional solutions could help realize clusters' mobility potential.
Accurate, Guaranteed Stable, Sliding Discrete Fourier Transform [DSP Tips & Tricks]

This article presented a novel method of computing the SDFT that we call the modulated SDFT (mSDFT). The sliding discrete Fourier transform (SDFT) is a recursive algorithm that computes a DFT on a sample-by-sample basis. The accumulated errors and potential instabilities inherent in traditional SDFT algorithms are drastically reduced in the mSDFT. We removed the twiddle factor from the feedback in a traditional SDFT resonator and thus the finite precision of its representation is no longer a problem.
From Dynamic Expression Patterns to Boundary Formation in the Presomitic Mesoderm

The segmentation of the vertebrate body is laid down during early embryogenesis. The formation of signaling gradients, the periodic expression of genes of the Notch-, Fgf- and Wnt-pathways and their interplay in the unsegmented presomitic mesoderm (PSM) precedes the rhythmic budding of nascent somites at its anterior end, which later develops into epithelialized structures, the somites. Although many in silico models describing partial aspects of somitogenesis already exist, simulations of a complete causal chain from gene expression in the growth zone via the interaction of multiple cells to segmentation are rare. Here, we present an enhanced gene regulatory network (GRN) for mice in a simulation program that models the growing PSM by many virtual cells and integrates WNT3A and FGF8 gradient formation, periodic gene expression and Delta/Notch signaling. Assuming Hes7 as core of the somitogenesis clock and LFNG as modulator, we postulate a negative feedback of HES7 on Dll1 leading to an oscillating Dll1 expression as seen in vivo. Furthermore, we are able to simulate the experimentally observed wave of activated NOTCH (NICD) as a result of the interactions in the GRN. We esteem our model as robust for a wide range of parameter values with the Hes7 mRNA and protein decays exerting a strong influence on the core oscillator. Moreover, our model predicts interference between Hes1 and HES7 oscillators when their intrinsic frequencies differ. In conclusion, we have built a comprehensive model of somitogenesis with HES7 as core oscillator that is able to reproduce many experimentally observed data in mice.
Research on Application of Genetic Algorithm for Intelligent Mobile Robot Navigation Based on Dynamic Approach

An intelligent mobile robot navigation model based on dynamic approach is constructed, which is integrated both head-for-target behavior and obstacle avoidance behavior. The model is described by nonlinear differential equations. It is based on the stability theory of dynamical system. The weight coefficient of each behavior which represents superiority in competition between behaviors is optimized by genetic algorithm. Navigation of mobile robot based on this model is simulated in computer. And the feasibility of genetic algorithm application for intelligent mobile robot navigation is examined. The results indicate that genetic algorithm integrates well with the dynamic approach for intelligent mobile robot navigating.