Miracle-dz/UniFAR-FTUs huggingface dataset:
Doctors’ knowledge, attitudes, and compliance with 2013 ACC/AHA guidelines for prevention of atherosclerotic cardiovascular disease in Singapore

Purpose There is an unmet need for strategies to prevent atherosclerotic cardiovascular disease in Singapore. The main objective of this study was to investigate Singapore physicians’ response to the 2013 American College of Cardiology and American Heart Association (ACC/AHA) guidelines for treatment of cholesterol and their impact on clinical practice. Methods This survey was conducted in two stages, qualitative and quantitative. Physicians were initially screened on the basis of an initial screener questionnaire, and eligible physicians were then included in the study. Results Qualitative (n=19) and quantitative (n=66) surveys were completed by eligible physicians from Singapore. Physicians were less familiar with the 2013 ACC/AHA guidelines (35%) as compared with the Singapore Ministry of Health (MoH) lipid guidelines 2006 (49%). Of the physicians whose opinion was sought on the ACC/AHA guidelines, more than 50% disagreed with the definition of high-, moderate-, and low-intensity statin therapy; recommendation of atorvastatin 40–80 mg and rosuvastatin 20–40 mg as medications for high-intensity statin therapy; and classification of individuals who would benefit from moderate- to high-intensity statin therapy. Most physicians assumed that Asians may be intolerant to high-intensity statin therapy. Conclusion Although embracing the 2013 ACC/AHA guidelines in clinical practice is expected to provide better clinical care to patients, our study revealed high reluctance by physicians, especially in the use of high-dose statins. However, ACC/AHA guidelines can be easily adopted in Asia as there is a wealth of data available for atorvastatin in primary and secondary prevention of atherosclerotic cardiovascular disease with similar efficacy and safety profiles in the white and Asian populations.
CONTROL ARCHITECTURE FOR TELEROBOTIC SYSTEMS

A control architecture is presented for real-time, sensor-based, shared control of remote, multiplemanipulator telerobotic systems. The system allows teleoperation, autonomy, or a combination (shared, telerobotic control). The rate-based system accepts control inputs from a variety of sources (joystick position or velocity, automated path planner position or velocity, machine vision, force/moment) simultaneously for all Cartesian axes. The system has been experimentally implemented and has proven effective in laboratory simulations of remote space tasks.
Location Database Hierarchy Optimization for PCS Networks : A Genetic Algorithm Approach

To overcome the drawbacks of he existing centralized location management scheme in personal communication services networks, message routing schemes based on a hierarchy of location databases have been proposed previously by the researchers in wireless network community. The problem of building optimal location database hierarchy using the estimates of number of moves and calls per unit time between the zones of the PCS networks and constraints on the databases and wired communication links has been considered here. This problem has been formulated as an optimization problem. A new genetic algorithm framework, which makes use of three new problem specific operators, has been developed. It may perhaps be noted that this approach is suitable for offline computation. Experimental assessment has been done for four mobility trace files, which contain a sequence of moves and calls for corresponding zone topology. The results obtained provide guidelines for experimental and theoretical analysis of the location management schemes for PCS networks.
Using vulnerability information and attack graphs for intrusion detection

Intrusion Detection Systems (IDS) have been used widely to detect malicious behavior in network communication and hosts. IDS management is an important capability for distributed IDS solutions, which makes it possible to integrate and handle different types of sensors or collect and synthesize alerts generated from multiple hosts located in the distributed environment. Sophisticated attacks are difficult to detect and make it necessary to integrate multiple data sources for detection and correlation. Attack graph (AG) is used as an effective method to model, analyze, and evaluate the security of complicated computer systems or networks. The attack graph workflow consists of three parts: information gathering, attack graph construction, and visualization. This paper proposes the integration of the AG workflow with an IDS management system to improve alert and correlation quality. The vulnerability and system information is used to prioritize and tag the incoming IDS alerts. The AG is used during the correlation process to filter and optimize correlation results. A prototype is implemented using automatic vulnerability extraction and AG creation based on unified data models.
Modeling and characterization of large-scale Wi-Fi traffic in public hot-spots

Server side measurements from several Wi-Fi hot-spots deployed in a nationwide network over different types of venues from small coffee shops to large enterprises are used to highlight differences in traffic volumes and patterns. We develop a common modeling framework for the number of simultaneously present customers. Our approach has many novel elements: (a) We combine statistical clustering with Poisson regression from Generalized Linear Models to fit a non-stationary Poisson process to the arrival counts and demonstrate its remarkable accuracy; (b) We model the heavy tailed distribution of connection durations through fitting a Phase Type distribution to its logarithm so that not only the tail but also the overall distribution is well matched; (c) We obtain the distribution of the number of simultaneously present customers from an Mt/G/∞ queuing model using a novel regenerative argument that is transparent and avoids the customarily made assumption of the queue starting empty at an infinite past; (d) Most importantly, we validate our models by comparison of their predictions and confidence intervals against test data that is not used in fitting the models.
GENCROBAT: Efficient transmission and processing of the massive genomic data

GENCROBAT is a computational system for efficient transmission of genetic data produced by high-throughput DNA sequencing equipment to cloud computing service providers, where the data is processed and turned into information. The transmission not only helps huge sequencing data to be transferred efficiently over the Internet, but also generates highly useful information to be used in the further steps of analysis on the cloud side. A simple analogy to describe what GENCROBAT does is, it acts as an acrobat carrying the DNA sequencing data from where it is produced to where it will be processed through a tiny rope, the communication channel. The volume it needs to transport from one point to another is so huge that it needs to travel over that rope many times. The capacity of the transmission channel is yet another dimension that needs to be handled carefully. GENCROBAT aims to carry as much as the rope lets at each pass. To achieve this, before beginning to carry the raw data, it puts them into special vacuum bags where the goods are squeezed to carry more at each iteration by respecting the capacity of the channel.
Challenges to Informing Clients : A Transdisciplinary Approach June 2001 Modeling using IS Methodologies : Some Guidelines based on Authenticity and Contemporary Epistemology

This paper focuses on two contemporary problems in IS development: those of choosing which IS methodology to use (if any), and the practical problems related to using an IS methodology whilst intervening in modern, complex, turbulent organizations. As IS practitioners must, increasingly, intervene in such organizations, it is argued that an important issue for IS research is whether they choose to do so in (what will be characterized as) an authentic manner. The epistemological consequences of authentic intervention are then explored, and it is concluded that many approaches to IS development are authentically possible and practical, although softer approaches have always emphasized the human dimension of IS development. Although the terms ‘relevance’ and ‘rigor’ are used herein they are not used in quite the same sense as they are used in the IS research debate concerning relevance and rigor.
Diversity, Dynamics, and Activity of Bacterial Communities during Production of an Artisanal Sicilian Cheese as Evaluated by 16S rRNA Analysis

ABSTRACT The diversity and dynamics of the microbial communities during the manufacturing of Ragusano cheese, an artisanal cheese produced in Sicily (Italy), were investigated by a combination of classical and culture-independent approaches. The latter included PCR, reverse transcriptase-PCR (RT-PCR), and denaturing gradient gel electrophoresis (DGGE) of 16S rRNA genes (rDNA). Bacterial and Lactobacillus group-specific primers were used to amplify the V6 to V8 and V1 to V3 regions of the 16S rRNA gene, respectively. DGGE profiles from samples taken during cheese production indicated dramatic shifts in the microbial community structure. Cloning and sequencing of rDNA amplicons revealed that mesophilic lactic acid bacteria (LAB), including species of Leuconostoc, Lactococcus lactis, and Macrococcus caseolyticus were dominant in the raw milk, while Streptococcus thermophilus prevailed during lactic fermentation. Other thermophilic LAB, especially Lactobacillus delbrueckii and Lactobacillus fermentum, also flourished during ripening. Comparison of the rRNA-derived patterns obtained by RT-PCR to the rDNA DGGE patterns indicated a substantially different degree of metabolic activity for the microbial groups detected. Identification of cultivated LAB isolates by phenotypic characterization and 16S rDNA analysis indicated a variety of species, reflecting to a large extent the results obtained from the 16S rDNA clone libraries, with the significant exception of the Lactobacillus delbrueckii species, which dominated in the ripening cheese but was not detected by cultivation. The present molecular approaches combined with culture can effectively describe the complex ecosystem of natural fermented dairy products, giving useful information for starter culture design and preservation of artisanal fermented food technology.
What Suboptimal Choice Tells Us About the Control of Behavior

When animals make decisions that are suboptimal, it helps us to identify the processes that have evolved to produce this behavior. In an earlier article, I discussed three examples of suboptimal choice or bias (Zentall, 2016): (a) sunk cost, the tendency to continue on a losing project because of the amount already invested; (b) unskilled gambling, in which the loss is greater than the return; and (c) justification of effort, the bias to prefer conditioned stimuli that in training required more effort to obtain. Here I discuss three additional examples of suboptimal choice that we have studied in animals: (a) when less is better, in which animals prefer one piece of food (one preferred item) over two pieces of food (one preferred item plus one less preferred item); (b) suboptimal choice on the ephemeral choice task, in which animals prefer one piece of food now over two pieces of the same food, one now but the second briefly delayed; and (c) suboptimal choice in the midsession reversal task, errors of anticipation and perseveration. Each of these examples may help to identify the relative limits on behavioral flexibility found when animals are exposed to conditions that may be different from those that they would normally encounter in their natural environment. They also may help us to understand the origins of similar behavior when it occurs in humans.
A Credit Based Framework to Mitigating Multiple Hole Attack in Reactive Routing Protocol

— The recent advancements in the wireless technology and their wide-spread deployment have made remarkable enhancements in efficiency in the corporate and industrial and Military sectors The increasing popularity and usage of wireless technology is creating a need for more secure wireless Adhoc networks. This paper aims researched and developed a new credit based framework that detects multiple hole attacks on a ad hoc network. A few existing protocols detect multihole attacks but they require highly specialized equipment not found on most wireless devices. This paper aims to develop a defense against such attacks keeping in view of energy constraint environment of an ad-hoc network an excellent framework should be obligatory which is theoretical and utter, understandable and explicit, summarized and logical, straightforward to sustain and cost efficient.
Threat, reward and explanatory arguments: generation and evaluation

Current logic-based handling of arguments has mainly focused on explanation-oriented purposes in presence of inconsis- tency, so only one type of argument has been considered. Sev- eral argumentation frameworks have then been proposed for gen- erating and evaluating such arguments. However, recent works on argumentation-based negotiation have emphasized different other types of arguments such as threats, rewards, appeals. The purpose of this paper is to provide a logical setting which en- compasses the classical argumentation-based framework and han- dles the new types of arguments. More precisely, we give the logical definitions of these arguments and their weighting systems. These definitions take into account that negotiation dialogues involve not only agents' beliefs (of various strengths), but also their goals (hav- ing maybe different priorities), as well as the beliefs on the goals of other agents. In other words, from the different belief and goal bases maintained by agents, all the possible threats, rewards, explanations, appeals which are associated with them can be generated.
SORBA: Shared Object Request Broker Architecture for Peer Computing

In this paper, we proposed a SORBA (Shared Object Request Broker Architecture) model, an objectbased P2P model, which complies with an open architecture, and manages resources afforded through a new object called SOC(Shared Object Class) in order to solve problems attendant upon a P2P(Peer-to-Peer) model. Also, it is so designed as to enable it to be extensible in a variety of ways under a P2P environment through a distributable pluggable function. The SORBA comes up with a new model featuring in particular efficient distribution of computing power and resources and automated management, thus overcoming weaknesses encountered in building an enterp rise information system on the existing P2P models. Keyword : Peer to Peer, Distribited Object Management, Framework Techniques, Object Request Broker
Scheduling of Independent Tasks in Cloud Computing Using Modified Genetic Algorithm

Cloud computing is a provider of dynamic services which offers readily elastic on demand computing resources as per the customer's request in economical way. As there are a lot of requests fabricated by cloud users which are processed by the accessible resources, there exists a need for better and effective scheduling mechanism for efficient allocation of resources. In this paper, a genetic algorithm based scheduling approach is proposed in which initial population is generated with advance version of Max Min by which we can get more optimize results, in terms of make span. The performance of the proposed Modified Genetic Algorithm (MGA) and existing algorithms have been evaluated against the sample data. Experimental results show that proposed algorithm exhibits acceptable performance and outperforms the existing algorithms.
Analysis of IEEE 802.15.3 CAP Based on DC-OFDM-UWB

In this paper, we present a way to estimate the performance of successful requests in contention access period (CAP) of IEEE 802.15. 3 accounting for dual carrier-orthogonal frequency division multiplexing-ultra wide band (DC-OFDM-UWB). It is important for a piconet coordinator (PNC) to schedule traffic of a piconet and will determine the duration of contention free period (CFP). Simulation results show that the analysis accurately predicts the performance of CAP in UWB PHY. This research should provide helpful insight to the implementation of UWB-based IEEE 802.15. 3 wireless networks
Sleep Spindles Detection Using Autoregressive Modeling

Being one of the well-defined and functional rhythmic activities observed in sleep EEG, sleep spindles are significant for brain research. Visual detection of sleep spindles is very time consuming and subjective. In this study, automated spindle detection by using AR modeling for feature extraction is proposed. Multilayer Perceptron (MLP) and Support Vector Machine (SVM) are used as classifiers for comparison. Performances were found as 93.6% for the MLP and 94.4% for the SVM classifiers.
PolyChrome: A Cross-Device Framework for Collaborative Web Visualization

We present PolyChrome, an application framework for creating web-based collaborative visualizations that can span multiple devices. The framework supports (1) co-browsing new web applications as well as legacy websites with no migration costs (i.e., a distributed web browser); (2) an API to develop new web applications that can synchronize the UI state on multiple devices to support synchronous and asynchronous collaboration; and (3) maintenance of state and input events on a server to handle common issues with distributed applications such as consistency management, conflict resolution, and undo operations. We describe PolyChrome's general design, architecture, and implementation followed by application examples showcasing collaborative web visualizations created using the framework. Finally, we present performance results that suggest that PolyChrome adds minimal overhead compared to single-device applications.
Postnatal development of the rat dorsal funiculus

The present study shows that there are approximately 21,000 axons in the neonatal rat dorsal funiculus, as compared to 26,000 in 2-week-old animals. We attribute this increase primarily to arriving corticospinal fibers. In adult animals, however, there are approximately 15,000 axons. This is a decline of 58% from the 2 week level, and the decrease is proportionately similar in the corticospinal area and the dorsal funiculus proper. Thus, axon numbers decline in later postnatal development, and since the decline seems to be well past the time of the histogenetic death of the cells that give rise to these axons, we propose that the loss is not caused by the death of neurons. This is further evidence that a reduction in axon numbers not accompanied by cell death is a widespread phenomenon in mammalian postnatal neural development. We infer that the mechanism of axon loss is a reduction in axon branching and that its function is to sharpen synaptic connections.
Some new results on the central overlap problem in astrometry

The central overlap problem in astrometry has been revisited in the recent last years by Eichhorn (1988) who explic- itly inverted the matrix of a constrained least squares problem. In this paper, the general explicit solution of the unconstrained central overlap problem is given. We also give the explicit solu- tion for an other set of constraints; this result is a confirmation of a conjecture expressed by Eichhorn (1988). We also consider the use of iterative methods to solve the central overlap prob- lem. A surprising result is obtained when the classical Gauss Seidel method is used; the iterations converge immediately to the general solution of the equations; we explain this property writing the central overlap problem in a new set of variables. In Sect. 2 of this paper, the explicit general solution of the (singular) equations of the central overlap problem is given. We then show that the results obtained by Eichhorn (1988) can be deduced from the general solution obtained in this paper. In Sect. 3, it is assumed that the parameters of r stars (posi- tion, proper motion and parallax) are known; this is equivalent to enforce a particular constraint on the stars parameters; the (unique) solution of the normal equations of the central overlap problem subject to this constraint is then determined in explicit closed form; we also write explicitly the covariance matrix of the stars parameters. This result is a confirmation of a conjec- ture of Eichhorn (1988) asserting that other sets of constraints exist, permitting to obtain closed formulae for the solution of the normal equations. In Sect. 4, the iterative approach of the resolution of the central overlap problem is considered. The Gauss Seidel method is used to solve the central overlap problem, and we prove that it has a very special behaviour: the algorithm converges after the first iteration to the general solution of the equations which is therefore obtained by a rather unusual way. In Sect. 5, a change of variables is proposed for the central overlap problem; it is shown that with these variables, the equa- tions are written in a very simple form and the properties of the solutions are very easily obtained. Finally concluding remarks are made in Sect. 6, concerning mainly the problem of missing observations.
Single-Document Keyphrase Extraction for Multi-Document Keyphrase Extraction

Here, we address the task of assigning relevant terms to thematically and semantically related sub-corpora and achieve superior results compared to the baseline performance. Our results suggest that more reliable sets of keyphrases can be assigned to the semantically and thematically related subsets of some corpora if the automatically determined sets of keyphrases for the individual documents of an entire corpus are identified first. The sets of keyphrases assigned by our proposed method for the workshops present in the ACL Anthology Corpus over a 6-year period were considered better in more than 60% of the test cases compared to our baseline system when evaluated against an aggregation of different human judgements.
HSCARG Inhibits NADPH Oxidase Activity through Regulation of the Expression of p47phox

Nicotinamide adenine dinucleotide phosphate (NADPH) oxidase catalyzes the transfer of electrons from NADPH to O2, which is the main source of reactive oxygen species (ROS) in nonphagocytic cells. Excess ROS are toxic; therefore, keeping ROS in homeostasis in cells can protect cells from oxidative damage. It is meaningful to further understand the molecular mechanism by which ROS homeostasis is mediated. Human protein HSCARG is a newly identified oxidative sensor and a negative regulator of NF-κB. Here, we find that HSCARG represses the cellular ROS generation through inhibiting mRNA and protein expression of p47phox, a subunit of NADPH oxidase. In contrast, shRNA-mediated HSCARG knockdown increases endogenous p47phox expression level. And HSCARG has no obvious effect on ROS production in p47phox-depleted cells. Furthermore, HSCARG regulates p47phox through inhibition of NF-κB activity. Our findings identify HSCARG as a novel regulator in regulation of the activity of NADPH oxidase and ROS homeostasis.
c-FLIP Protects Eosinophils from TNF-α-Mediated Cell Death In Vivo

Understanding the signals that regulate eosinophil survival and death is critical to developing new treatments for asthma, atopy, and gastrointestinal disease. Previous studies suggest that TNF-α stimulation protects eosinophils from apoptosis, and this TNF-α-mediated protection is mediated by the upregulation of an unknown protein by NF-κB. Here, we show for the first time that eosinophils express the caspase 8-inhibitory protein c-FLIP, and c-FLIP expression is upregulated upon TNF-α stimulation. Considering that c-FLIP expression is regulated by NF-κB, we hypothesized that c-FLIP might serve as the “molecular switch” that converts TNFRI activation to a pro-survival signal in eosinophils. Indeed, we found that one c-FLIP isoform, c-FLIPL, is required for mouse eosinophil survival in the presence of TNF-α both in vitro and in vivo. Importantly, our results suggest c-FLIP as a potential therapeutic target for the treatment of eosinophil-mediated disease.