Miracle-dz/UniFAR-FTUs huggingface dataset:
Platelet dysfunction during Bothrops jararaca snake envenomation in rabbits

Summary Despite being well established that snake envenomation causes blood coagulation and fibrinolysis disturbances, scant information is available about blood platelet disorders. Herein we show that experimentally Bothrops jararaca-envenomed rabbits presented thrombocytopenia, hypofibrinogenemia, elevation of von Willebrand factor plasma levels, platelet hypoaggregation in platelet rich plasma and whole blood, normoaggregation in washed platelet suspensions, decreased platelet ATP secretion, normal plasma levels of platelet factor 4, and constant intraplatelet serotonin levels. Furthermore, by flow cytometric analyses, platelets displayed a significant decrease in the expression of a GPIIb-IIIa epitope recognized by P2 monoclonal antibody (p< 0.05) and an increased expression of a ligandinduced binding site (LIBS-1) of GPIIIa (p< 0.05), but total GPIIb-IIIa expression, evaluated with specific polyclonal antibodies, was normal. Fibrinogen and fibrin(ogen) degradation product (FfDP) expression on platelet surface showed no significant alteration. Nonetheless, significant elevations of platelet P-selectin were noticed on circulating platelets. The percentage of circulating reticulated platelets and the survival time of biotinylated platelets of envenomed rabbits were not statistically different from control animals. We suggest that thrombin engendered by procoagulating components of B. jararaca venom has an essential role in the pathogenesis of platelet and coagulation disorders in this experimental model. Increased expression of P-selectin in the experimental group demonstrates that platelets of envenomed rabbits are indeed activated in circulation, and that decreased fibrinogen or increased FfDP levels are not the primary cause of platelet dysfunction. These results imply the existence of an inhibitor in plasma that interferes with platelet aggregation in bothropic envenomation.
Biomedical photoacoustic imaging

Photoacoustic (PA) imaging, also called optoacoustic imaging, is a new biomedical imaging modality based on the use of laser-generated ultrasound that has emerged over the last decade. It is a hybrid modality, combining the high-contrast and spectroscopic-based specificity of optical imaging with the high spatial resolution of ultrasound imaging. In essence, a PA image can be regarded as an ultrasound image in which the contrast depends not on the mechanical and elastic properties of the tissue, but its optical properties, specifically optical absorption. As a consequence, it offers greater specificity than conventional ultrasound imaging with the ability to detect haemoglobin, lipids, water and other light-absorbing chomophores, but with greater penetration depth than purely optical imaging modalities that rely on ballistic photons. As well as visualizing anatomical structures such as the microvasculature, it can also provide functional information in the form of blood oxygenation, blood flow and temperature. All of this can be achieved over a wide range of length scales from micrometres to centimetres with scalable spatial resolution. These attributes lend PA imaging to a wide variety of applications in clinical medicine, preclinical research and basic biology for studying cancer, cardiovascular disease, abnormalities of the microcirculation and other conditions. With the emergence of a variety of truly compelling in vivo images obtained by a number of groups around the world in the last 2–3 years, the technique has come of age and the promise of PA imaging is now beginning to be realized. Recent highlights include the demonstration of whole-body small-animal imaging, the first demonstrations of molecular imaging, the introduction of new microscopy modes and the first steps towards clinical breast imaging being taken as well as a myriad of in vivo preclinical imaging studies. In this article, the underlying physical principles of the technique, its practical implementation, and a range of clinical and preclinical applications are reviewed.
Pond: The OceanStore Prototype

OceanStore is an Internet-scale, persistent data store designed for incremental scalability, secure sharing, and long-term durability. Pond is the OceanStore prototype; it contains many of the features of a complete system including location-independent routing, Byzantine update commitment, push-based update of cached copies through an overlay multicast network, and continuous archiving to erasure-coded form. In the wide area, Pond outperforms NFS by up to a factor of 4.6 on readintensive phases of the Andrew benchmark, but underperforms NFS by as much as a factor of 7.3 on writeintensive phases. Microbenchmarks show that write performance is limited by the speed of erasure coding and threshold signature generation, two important areas of future research. Further microbenchmarks show that Pond manages replica consistency in a bandwidth-efficient manner and quantify the latency cost imposed by this bandwidth savings.
On Boredom and Experimentation in Humans

This article discusses the ethical and methodological issues associated with boredom experienced by human participants during psychological experiments. Ways are suggested in which informed consent, briefing, and debriefing can be used to prevent or remedy boredom induced during experiments. We address methodological and ethical concerns, and we discuss the advantages of the proposed approach for experimenters' practice and training of undergraduate students. Future directions for much needed research on these topics are also emphasized.
Instrumental activities of daily living scale for dementia screening in elderly people

Objective: To develop and validate an Instrumental Activities of Daily Living Scale for elderly people (IADL-E) to use in conjunction with cognitive screening tests for dementia in an educationally and socioculturally heterogeneous population. Method: Eleven IADL items were selected and weighted for major factors causing heterogeneity in the population – gender, education, social (rural/urban) setting and age. Each item was rated for its applicability (yes/no), degree of disability (scored from 0 to 2) and causative impairment (cognitive and/or physical). From this a composite index of cognitive (CDI) or physical (PDI) disability was derived. Validation was performed retrospectively on 240 subjects: 135 without and 105 with dementia by DSM-IV. Results: The IADL-E had a high internal consistency (α=0.95). The area under the receiver operating characteristic (ROC) curve was 0.97 (CI=0.94−0.99). A cutoff score of 16 on CDI provided a sensitivity of 0.91, specificity 0.99 and positive predictive value 0.76 (at 5% base rate). IADL-E correlated highly with clinical (DSM-IV, κ=0.89), functional (CDR, 0.82) and cognitive (Mini-mental Status Examination, MMSE, 0.74) diagnoses. It showed good responsiveness, with the change on CDI over a median of 23 months correlating significantly with that on MMSE (coefficient=−0.382, CI=−0.667 to −0.098; p=0.009). Individual items had good interrater and test–retest reliability. Conclusions: The IADL-E is a reliable, sensitive and responsive scale of functional abilities useful in dementia screening in a socioculturally heterogeneous population.
On Detecting Target Acoustic Signals Based on Non-negative Matrix Factorization

In this paper, we propose a novel target acoustic signal detection approach which is based on non-negative matrix factorization (NMF). Target basis vectors are trained from the target signal database through NMF, and input vectors are projected onto the subspace spanned by these target basis vectors. By analyzing the distribution of time-varying normalized projection error, the optimal threshold can be calculated to detect the target signal intervals during the entire input signal. Experimental results show that the proposed algorithm can detect the target signal successfully under various signal environments.
Learning to be risk averse?

The purpose of this research is to search for the best (highest performing) risk profile of agents who successively choose among risky prospects. An agent's risk profile is his attitude to perceived risk, which can vary from risk preferring to risk neutral (an expected-value decision maker) to risk averse. We use the Genetic Algorithm to search in the complex stochastic space of repeated lotteries. We find that agents with a CARA utility function learn to possess risk-neutral risk profiles. Since CARA utility functions are wealth-independent, this is not surprising. When agents have wealth-dependent, CRRA utility functions, however, they also learn to possess risk profiles that are about risk neutral (from slightly risk-averse to even slightly risk-preferring), which is surprising.
Neoclassical plateau regime transport in a tokamak pedestal

In tokamak pedestals with subsonic flows the radial scale of plasma profiles can be comparable to the ion poloidal Larmor radius, thereby making the radial electrostatic field so strong that the E × B drift has to be retained in the ion kinetic equation in the same order as the parallel streaming. The modifications of neoclassical plateau regime transport—such as the ion heat flux and the poloidal ion and impurity flows—are evaluated in the presence of a strong radial electric field. The altered poloidal ion flow can lead to a significant increase in the bootstrap current in the pedestal where the spatial profile variation is strong because of the enhanced coefficient of the ion temperature gradient term near the electric field minimum. Unlike the banana regime, orbit squeezing does not affect the plateau regime results.
Sticky Platelet Syndrome: An Underrecognized Cause of Graft Dysfunction and Thromboembolic Complications in Renal Transplant Recipients

Sticky platelet syndrome (SPS) leads to hyperaggregabilty of platelets in response to physiologic stimuli. In this report we describe three patients with clinical symptoms of SPS after renal transplantation. The first patient developed an infarction of her transplant kidney with additional, subsequent renal microinfarctions. The second patient suffered multiple strokes and deep vein thrombosis with episodes of pulmonary embolism and ischemic bowel disease due to colonic microinfarctions. The third patient experienced a long episode of unexplained respiratory and graft dysfunction immediately after transplantation until therapy for SPS was initiated, at which point symptoms resolved quickly.
Marshall vs. Walras on Equilibrium and Disequilibrium

In this paper I critically analyse the view that John Hicks sought to establish, according to which Walras’ and Marshall’s approaches to price theory, while differing in scope (that is, general vs. partial analysis), are basically similar in their aims, presuppositions and results. By focusing on a special kind of economy (the pure-exchange, two-commodity economy), which has been formally studied by both economists with the help of similar tools, we can precisely identify the differences between the two approaches. In particular, I am able to prove that there exists a definite trade-off between observability of the disequilibrium process and generality of the equilibrium concept: for Marshall can succeed in modelling a process of exchange in ‘real’ time with observable out-of-equilibrium trades only at the cost of confining his analysis to a partial equilibrium framework; whereas Walras can succeed in developing a truly general equilibrium model only at the cost of accepting that the underlying equilibration process be downgraded to a virtual process in ‘logical’ time.
NBER WORKING PAPER SERIES FINANCIAL INTEGRATION AND LIQUIDITY CRISES

The paper analyzes the effects of financial integration on the stability of the banking system. Financial integration allows banks in different regions to smooth local liquidity shocks by borrowing and lending on a world interbank market. We show under which conditions financial integration induces banks to reduce their liquidity holdings and to shift their portfolios towards more profitable but less liquid investments. Integration helps reallocate liquidity when different banks are hit by uncorrelated shocks. However, when a correlated (systemic) shock hits, the total liquid resources in the banking system are lower than in autarky. Therefore, financial integration leads to more stable interbank interest rates in normal times, but to larger interest rate spikes in crises. These results hold in a setup where financial integration is welfare improving from an ex ante point of view. We also look at the model's implications for financial regulation and show that, in a second-best world, financial integration can increase the welfare benefits of liquidity requirements. Fabio Castiglionesi Tilburg University Finance Department fabio.castiglionesi@uvt.nl Fabio Feriozzi IE Business School IE University Madrid Fabio.Feriozzi@ie.edu Guido Lorenzoni Department of Economics Northwestern University 2211 Campus Dr Evanston, IL 60208 and NBER guido.lorenzoni@northwestern.edu
Unsupervised learning of low-level audio features for music similarity estimation

While there is an enormous amount of music data available, the eld of music analysis almost exclusively uses manually designed features. In this work we learn features from music data in a completely unsupervised way and evaluate them on a musical genre classi - cation task. We achieve results very close to state-of-the-art performance which relies on highly hand-tuned feature extractors.
Priority focused medium access control in wireless sensor actuator networks for CPS

In cyber physical systems CPSs, wireless sensor actuator networks WSANs play a major role in interconnecting the physical world through wireless devices. It is considered that MAC protocol 802.15. 4 is an appropriate protocol for CPSs environment. In this paper, we proposed a medium access control procedure with priority called virtually prioritised backoff procedure VPBP. Smart nodes involved in this network are initially assigned a priority according to its functionality. A smart node with highest priority is accessed by the centre node coordinator initially. If a priority of node is equal then by assigning a fair chance, a starving node with highest critical value is allowed to transmit the data. This is to overcome the disadvantage of traditional 802.15. 4 carrier sense multiple access with collision avoidance CSMA/CA method. Finally, we have proved with the simulation results that the VPBP approach has reduced the collisions in a CPS based wireless networks.
Adding polarimetric imaging to depth map using improved light field camera 2.0 structure

Polarization imaging plays an important role in various fields, especially for skylight navigation and target identification, whose imaging system is always required to be designed with high resolution, broad band, and single-lens structure. This paper describe such a imaging system based on light field 2.0 camera structure, which can calculate the polarization state and depth distance from reference plane for every objet point within a single shot. This structure, including a modified main lens, a multi-quadrants Polaroid, a honeycomb-liked micro lens array, and a high resolution CCD, is equal to an “eyes array”, with 3 or more polarization imaging “glasses” in front of each “eye”. Therefore, depth can be calculated by matching the relative offset of corresponding patch on neighboring “eyes”, while polarization state by its relative intensity difference, and their resolution will be approximately equal to each other. An application on navigation under clear sky shows that this method has a high accuracy and strong robustness.
The determination of the viscoelastic properties of liquid materials at ultrasonic frequencies by CW mode impedance measurements

A method is described for measuring shear mechanical properties of liquids at ultrasonic frequencies. The method is based on the process of the electrical impedance of a sensor in contact with the liquid. The sensor is composed of a piezoelectric transducer bonded to a delay line. The process determines the complex reflection coefficient of shear waves reflecting from the delay line-liquid interface, and the mechanical impedance is deduced. Experimental determination of dynamic shear properties of a series of saccharose solutions is presented as an example of the method.
Hierarchical control system design using approximate simulation

In this paper, we present a new approach for hierarchical control based on the recent notions of approximate simulation and simulation functions, a quantitative version of the simulation relations. Given a complex system that needs to be controlled and a simpler abstraction, we show how the knowledge of a simulation function allows us to synthesize hierarchical control laws by first controlling the abstraction and then lifting the abstract control law to the complex system using an interface. For the class of linear control systems, we give an effective characterization of the simulation functions and of the associated interfaces. This characterization allows us to use algorithmic procedures for their computation. We show how to choose an abstraction for a linear control system such that our hierarchical control approach can be used. Finally, we show the effectiveness of our approach on an example. © 2008 Elsevier Ltd. All rights reserved.
Particle-based viscoelastic fluid simulation

We present a new particle-based method for viscoelastic fluid simulation. We achieve realistic small-scale behavior of substances such as paint or mud as they splash on moving objects. Incompressibility and particle anti-clustering are enforced with a double density relaxation procedure which updates particle positions according to two opposing pressure terms. From this process surface tension effects emerge, enabling drop and filament formation. Elastic and non-linear plastic effects are obtained by adding springs with varying rest length between particles. We also extend the technique to handle interaction between fluid and dynamic objects. Various simulation scenarios are presented including rain drops, fountains, clay manipulation, and floating objects. The method is robust and stable, and can animate splashing behavior at interactive framerates.
A systematic review of software maintainability prediction and metrics

This paper presents the results of a systematic review conducted to collect evidence on software maintainability prediction and metrics. The study was targeted at the software quality attribute of maintainability as opposed to the process of software maintenance. The evidence was gathered from the selected studies against a set of meaningful and focused questions. 710 studies were initially retrieved; however of these only 15 studies were selected; their quality was assessed; data extraction was performed; and data was synthesized against the research questions. Our results suggest that there is little evidence on the effectiveness of software maintainability prediction techniques and models.
Dissociations of lexical function: Semantics, syntax, and morphology

Aphasic patients who exhibit “asyntactic comprehension” show poor performance on a sentence-picture matching task with semantically unconstrained sentences, such as “The cow bit the horse,” but good performance when the sentences are semantically constrained, such as “The boy threw the ball. ” The assumption has been that such patients are able to interpret these latter sentences by relying solely on the meanings of the individual words, and that their intact lexical semantics can support some amount of sentence processing. We test this claim by investigating, in detail, the lexical semantics of an aphasic patient (JG), whose speech production is severely agrammatic and whose sentence-picture matching is asyntactic. We explore the semantics of JG’s lexicon for both morphologically simple and complex words. We find that word meanings are represented normally in his mental lexicon, and he is able to use this information to integrate words into phrases. In contrast, lexical syntactic and morphological processes are severely impaired. This pattern confirms that lexical semantics can support some limited amount of sentence processing in patients with asyntactic comprehension, and that different lexically based processes can be impaired differentially following brain damage.
Analysis of disturbed images

MOTIVATION Images in cellular and molecular biology (from microscopy, blots, biochips, etc.) are often disturbed, so that the detection and analysis of the respective relevant geometrical objects may be difficult or error-prone. The disturbances are either caused by the detector, usually a CCD camera, or by the experimental setup. Furthermore, microtechnology experiments often require simultaneous multiple-colour stainings. Therefore, the image analysis of such experiments should be colour-sensitive, and colour shadings should not only be detectable but also quantifiable. RESULTS Here, we describe a general solution as applied to the analysis of blots and DNA chips as well as to microscopy images of tissues. We decided to use (i) a stochastic filter as used by Wiener for image segmentation as the starting point for object detection, (ii) chaincodes as described by Freeman for object description, (iii) a novel 'rolling disc algorithm' to spot the objects to be analysed and (iv) an HSI instead of an RGB colour model for colour analysis. With this combination we succeeded in performing shape detection and colour-based analysis of disturbed images. AVAILABILITY The corresponding modules (C++) are available on request.
Towards more accurate content categorization of API discussions

Nowadays, software developers often discuss the usage of various APIs in online forums. Automatically assigning pre-defined semantic categorizes to API discussions in these forums could help manage the data in online forums, and assist developers to search for useful information. We refer to this process as content categorization of API discussions. To solve this problem, Hou and Mo proposed the usage of naive Bayes multinomial, which is an effective classification algorithm. In this paper, we propose a Cache-bAsed compoSitE algorithm, short formed as CASE, to automatically categorize API discussions. Considering that the content of an API discussion contains both textual description and source code, CASE has 3 components that analyze an API discussion in 3 different ways: text, code, and original. In the text component, CASE only considers the textual description; in the code component, CASE only considers the source code; in the original component, CASE considers the original content of an API discussion which might include textual description and source code. Next, for each component, since different terms (i.e., words) have different affinities to different categories, CASE caches a subset of terms which have the highest affinity scores to each category, and builds a classifier based on the cached terms. Finally, CASE combines all the 3 classifiers to achieve a better accuracy score. We evaluate the performance of CASE on 3 datasets which contain a total of 1,035 API discussions. The experiment results show that CASE achieves accuracy scores of 0.69, 0.77, and 0.96 for the 3 datasets respectively, which outperforms the state-of-the-art method proposed by Hou and Mo by 11%, 10%, and 2%, respectively.
An Efficient Parallel Algorithm for the Solution of a Tridiagonal Linear System of Equations

Tridiagonal linear systems of equations can be solved on conventional serial machines in a time proportional to <italic>N</italic>, where <italic>N</italic> is the number of equations. The conventional algorithms do not lend themselves directly to parallel computation on computers of the ILLIAC IV class, in the sense that they appear to be inherently serial. An efficient parallel algorithm is presented in which computation time grows as log<subscrpt>2</subscrpt> <italic>N</italic>. The algorithm is based on recursive doubling solutions of linear recurrence relations, and can be used to solve recurrence relations of all orders.