Miracle-dz/UniFAR-FTUs huggingface dataset:
Epidemiology of carotid endarterectomy among Medicare beneficiaries: 1985-1996 update.

BACKGROUND AND PURPOSE This article describes changes in the rate and outcome of carotid endarterectomies among Medicare beneficiaries. METHODS We analyzed International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes as shown on Medicare bills to calculate carotid endarterectomy frequency, rate, and perioperative mortality by patient demography and hospital characteristics. RESULTS After initially peaking at 61273 procedures (20.6 per 10000 beneficiaries) in 1985, the frequency of carotid endarterectomy among Medicare beneficiaries declined to 46571 (14.3 per 10000) in 1989 and then rose to 108275 (28.6 per 10000) in 1996. Patients were predominantly aged 65 to 74 years, male, and white; surgery occurred mainly in large, urban, nonprofit, and teaching hospitals. Perioperative mortality declined from 3.0% in 1985 to 1.6% in 1996. CONCLUSIONS The frequency and rate of carotid endarterectomy showed prompt response to reports from clinical trials. Perioperative mortality both improved and converged over time but did not attain the rates reported by the trials. Patients aged 85+ years suffered twice the average perioperative mortality.
A simple model of recognition and recall memory

We show that several striking differences in memory performance between recognition and recall tasks are explained by an ecological bias endemic in classic memory experiments - that such experiments universally involve more stimuli than retrieval cues. We show that while it is sensible to think of recall as simply retrieving items when probed with a cue - typically the item list itself - it is better to think of recognition as retrieving cues when probed with items. To test this theory, by manipulating the number of items and cues in a memory experiment, we show a crossover effect in memory performance within subjects such that recognition performance is superior to recall performance when the number of items is greater than the number of cues and recall performance is better than recognition when the converse holds. We build a simple computational model around this theory, using sampling to approximate an ideal Bayesian observer encoding and retrieving situational co-occurrence frequencies of stimuli and retrieval cues. This model robustly reproduces a number of dissociations in recognition and recall previously used to argue for dual-process accounts of declarative memory.
The role of Gliadel wafers in the treatment of high-grade gliomas

Glioblastoma multiforme (GBM) is the most aggressive brain tumor. Standard treatment includes surgery, radiation and chemotherapy. Prognosis is dismal with an average survival of approximately 1 year. Gliadel wafers are one treatment option, working as a source for local chemotherapy delivery. Their use is controversial with questionable survival benefit and potential side effects. We reviewed the literature in an effort to clarify their role in the treatment of high-grade gliomas. A systematic PubMed search was performed using the keywords ‘Gliadel’, ‘carmustine’ or ‘BCNU wafers’ in newly diagnosed high-grade glioma patients. Treatment regimen, and median survival were analyzed. Adverse event ratio was calculated by computing the number of adverse events in a study per patient receiving carmustine wafers. Nineteen studies with 795 patients were included in our review. Survival was 8.7–22.6 months with a mean overall survival (OS) of 16.2 months (control survival is approximately 14 months with surgery and adjuvant chemoradiotherapy). Adverse event ratio using Gliadel wafersin control group. Complication rate was 42.7%. Gliadel wafers may marginally increase survival and local control in newly diagnosed GBM patients but are associated with a high complication rate; therefore, we do not recommend using Gliadel wafers in patients with GBM. Further research may be warranted once a safer alternative to Gliadel wafers has been introduced.
Efficient Uplink Bandwidth Utilization in P2P-TV Streaming Systems

Peer-to-Peer streaming systems (or P2P-TV) have been studied in the literature for some time, and they are becoming popular among users as well. P2P- TV systems target the real time delivery of a video stream, therefore posing different challenges compared to more traditional P2P applications like the better known file sharing P2P application. In this paper, we focus on mesh based systems in which the peers form a generic overlay topology upon which peers exchange small "chunks" of video. In particular, we study the signaling mechanisms that must be in place to trade chunks and to match the demand from other peers in a quick and efficient way, by automatically adapting a peer service rate to its upload capacity. The goal is to maximize peer upload capacity utilization, while avoiding forming long transmission queue, therefore minimizing the chunk delivery time, a crucial parameter for P2P-TV systems. Our results show that the proposed solution achieves several desirable goals: i) it limits the overhead due to signaling messages, ii) it achieves a fair resource utilization, making peers contribute proportionally to their bandwidth, iii) it improves system performance, reducing loss probability and chunk delivery delay with respect to mechanisms with non adaptive number of contacted peers.
Antecedents of travellers’ repurchase behaviour for luxury cruise product

This study proposed and tested a theoretical model in which image congruence, affect, satisfaction, switching costs, and trust have an influence on travellers’ decision to repurchase a luxury cruise product by considering the moderating impact of conspicuousness. The model was evaluated using a quantitative approach. The original model included a satisfactory fit and prediction power. The results of the structural analysis revealed that the hypothesized associations between the study variables were generally supported, and such variables had a significant mediating role. In addition, conspicuousness of product use had a moderating impact on the affect–satisfaction–switching costs linkages. Moreover, the prominent role of satisfaction and trust was identified. The findings of this study extended our understanding of the complex of the relationships among study variables in forming luxury cruise passengers’ repurchase intention.
Uncertain Core for Coalitional Game with Uncertain Payos

Coalitional game deals with situations that involve cooperations among the players. There are dierent solution concepts such as core, Shapley value and nucleolus. This paper investigates uncertain coalitional game in which the payos are uncertain variables. Within the framework of uncertainty theory, two denitions of uncertain core are proposed. Meanwhile, a sucient and necessary condition is provided for nding the uncertain core. Finally, an example is provided for illustrating purpose.
An optimal topology-transparent scheduling method in multihop packet radio networks

Many transmission scheduling algorithms have been proposed to maximize the spatial reuse and minimize the time-division multiple-access (TDMA) frame length in multihop packet radio networks. Almost all existing algorithms assume exact network topology information and do not adapt to different traffic requirements. Chlamtac and Farago (1994) proposed a topology-transparent algorithm. Following their approach, but with a different design strategy, we propose another algorithm which is optimal in that it maximizes the minimum throughput. We compare our algorithm with that of Chlamtac and Farago's and with the TDMA algorithm, and find that it gives better performance in terms of minimum throughput and minimum and maximum delay times. Our algorithm requires estimated values of the number of nodes and the maximum nodal degree in the network. However, we show that the performance of our algorithm is insensitive to these design parameters.
Gain-field modulation mechanism in multimodal networks for spatial perception

Seeing is not just done through the eyes, it involves the integration of other modalities such as auditory, proprioceptive and tactile information, to locate objects, persons and also the limbs. We hypothesize that the neural mechanism of gain-field modulation, which is found to process coordinate transform between modalities in the superior colliculus and in the parietal area, plays a key role to build such unified perceptual world. In experiments with a head-neck-eye's robot with a camera and microphones, we study how gain-field modulation in neural networks can serve for transcribing one modality's reference frame into another one (e.g., audio signals into eyes' coordinate). It follows that each modality influences the estimations of the position of a stimulus (multimodal enhancement). This can be used in example for mapping sound signals into retina coordinates for audio-visual speech perception.
A Robust Skin Color Based Face Detection Algorithm

In this paper, a detailed experimental study of face detection algorithms based on ”Skin Color” has been made. Three color spaces, RGB, YCbCr and HSI are of main concern. We have compared the algorithms based on these color spaces and have combined them to get a new skin color based face detection algorithm which gives higher accuracy. Experimental results show that the proposed algorithm is good enough to localize a human face in an image with an accuracy of 95.18%.
Detecting Bad Smells in Object Oriented Design Using Design Change Propagation Probability Matrix

Object oriented software systems are subject to frequent modifications either during development (iterative, agile software development) or software evolution. For such systems which have large number of classes, detection of design defects is a complex task. Bad smells are used to identify design defects in object oriented software design. Identification of bad smells allows us to apply appropriate refactorings to improve the quality of design. In existing bad smell detection systems, bad smells are generally detected using human intuition, and recently, people started developing quantitative methods. As human intuition is subjective, the quantitative methods to detect bad smells are effective as they do not include subjectivity (bias) and allows for automation. This paper proposes a quantitative method. The proposed quantitative method makes use of the concept design change propagation probability matrix (DCPP matrix) to detect two important bad smells. The first one is shotgun surgery bad smell and the other one is divergent change bad smell. Two of the advantages of the proposed quantitative method are: Detecting shotgun surgery and divergent change bad smells require that the design change propagation between artifacts that are connected directly and indirectly should be considered quantitatively. The proposed method considers this aspect quantitatively. The second advantage is, the method is amicable for automation. Using this proposed method, with typical example designs, the bad smells shotgun surgery and divergent change are detected. Appropriate refactorings are suggested for the detected bad smells. Different advantages of the proposed quantitative method are presented. A broader framework in which this quantitative method is applied is given.
ABNORMAL CIRCADIAN RHYTHM OF MELATONIN IN DIABETIC AUTONOMIC NEUROPATHY

The circadian rhythm of melatonin secretion from the pineal body is entrained to the light‐dark cycle and is controlled via sympathetic fibres originating from the superior cervical ganglia. We have therefore examined plasma melatonin profiles in diabetics with and without evidence of autonomic neuropathy and in normal matched controls. The physiological increase in nocturnal plasma melatonin concentration was not observed in diabetics neuropaths. There was no consistent pattern in the diabetics without neuropathy; only three out of the eight subjects in this group had a sustained nocturnal increase in melatonin. Normal diurnal variation of plasma cortisol was present in all groups of subjects. The present study shows that diabetic patients with evidence of autonomic neuropathy lack the normal circadian changes of plasma melatonin concentration. This provides confirmation for the control of pineal function via the sympathetic nervous system in man. The impaired melatonin profiles observed in diabetic patients without apparent autonomic neuropathy suggest that a subclinical state of sympathetic denervation may exist in this group of diabetics.
Long-term change in the cyclotron line energy in Hercules X-1

Aims. We investigate the long-term evolution of the cyclotron resonance scattering feature (CRSF) in the spectrum of the binary X-ray pulsar Her X-1 and present evidence of a true long-term decrease in the centroid energy E-cyc of the cyclotron line in the pulse phase averaged spectra from 1996 to 2012. Methods. Our results are based on repeated observations of Her X-1 by those X-ray observatories capable of measuring clearly beyond the cyclotron line energy of similar to 40 keV; these are RXTE, INTEGRAL, Suzaku, and NuSTAR. We consider results based on our own successful observing proposals as well as results from the literature. Results. The historical evolution of the pulse phase averaged CRSF centroid energy Ecyc since its discovery in 1976 is characterized by an initial value around 35 keV, an abrupt jump upwards to beyond similar to 40 keV between 1990 and 1994, and an apparent decay thereafter. Much of this decay, however, was found to be due to an artifact, namely a correlation between Ecyc and the X-ray luminosity L-x discovered in 2007. In observations after 2006, however, we now find a statistically significant true decrease in the cyclotron line energy. At the same time, the dependence of Ecyc on X-ray luminosity is still valid with an increase of similar to 5% in energy for a factor of two increase in luminosity. We also report on the first evidence of a weak dependence of Ecyc on phase of the 35 d precessional period, which manifests itself not only in the modulation of the X-ray flux, but also in the systematic variation in the shape of the 1.24 s pulse profile. One of our motivations for repeatedly observing Her X-1, namely the suspicion that the cyclotron line energy may be gradually decreasing after its strong upward jump in the early 1990s, is finally confirmed. A decrease in Ecyc by 4.2 keV over the 16 years from 1996 to 2012 can either be modeled by a linear decay, or by a slow decay until 2006 followed by a more abrupt decrease thereafter. Conclusions. The observed timescale for the decrease in Ecyc of a few decades is too short for a decay of the global magnetic field. We speculate that the physical reason could be connected to a geometric displacement of the cyclotron resonant scattering region in the polar field or to a true physical change in the magnetic field configuration at the polar cap by the continued accretion. In the second scenario, the upward jump in Ecyc observed around 1991 may have been due to a relatively fast event in which the polar magnetic field rearranged itself after releasing part of the accumulated material to larger areas of the neutron star surface.
A CELLULAR BASIS OF IMMUNITY IN EXPERIMENTAL BRUCELLA INFECTION

Brucella suis, Brucella abortus, and Brucella melitensis were shown by microscopic and cultural procedures to multiply extensively within normal rat, mouse, and guinea pig monocytes maintained in vitro in cell cultures for 3 days. Intracellular growth of brucellae had no observable toxic effects on most monocytes, although many of the cells became completely engorged with brucellae within 3 days. Non-smooth brucellae and strain 19 multiplied slowly within normal monocytes. In contrast, "immune" monocytes) i.e. those derived from animals previously infected with smooth brucellae, greatly restricted the intracellular growth of smooth and non-smooth brucellae and strain 19. Growth of smooth Brucella, within either normal or "immune" monocytes, was not influenced by addition of Brucella antiserum to the culture medium. Desensitization of immunized guinea pigs did not diminish the refractory state of their monocytes. Cellular resistance did not develop when animals were vaccinated with heat-killed brucellae, though these animals did produce agglutinating antibody. Similarly, vaccination of animals with living, rough B. suis failed to induce a refractory state in their monocytes, even though the vaccinated animals developed delayed hypersensitivity to smooth Brucella antigen. In vivo studies of Brucella survival in the spleens of normal and vaccinated mice (treated with streptomycin to prevent extracellular survival) gave strong support to the in vitro demonstrations of acquired "cellular immunity. " Some implications of these results are discussed.
Centroid-based memetic algorithm – adaptive Lamarckian and Baldwinian learning

The application of specific learning schemes in memetic algorithms (MAs) can have significant impact on their performances. One main issue revolves around two different learning schemes, specifically, Lamarckian and Baldwinian. It has been shown that the two learning schemes are better suited for different types of problems and some previous studies have attempted to combine both learning schemes as a means to develop a single optimisation framework capable of solving more classes of problems. However, most of the past approaches are often implemented heuristically and have not investigated the effect of different learning scheme on noisy design optimisation. In this article, we introduce a simple probabilistic approach to address this issue. In particular, we investigate a centroid-based approach that combines the two learning schemes within an MA framework (centroid-based MS; CBMA) through the effective allocation of resources (in terms of local search cost) that are based on information obtained during the optimisation process itself. A scheme that applies the right learning scheme (Lamarckian or Baldwinian) at the right time (during search) would lead to higher search performance. We conducted an empirical study to test this hypothesis using two different types of benchmark problems. The first problem set consists of simple benchmark problems whereby the problem landscape is static and gradient information can be obtained accurately. These problems are known to favour Lamarckian learning while Baldwinian learning is known to exhibit slower convergence. The second problem set consists of noisy versions of the first problem set whereby the problem landscape is dynamic as a result of the random noise perturbation injected into the design vector. These problems are known to favour learning processes that re-sample search points such as Baldwinian learning. Our experiments show that CBMA manages to adaptively allocate resources productively according to problem in most of the cases.
Characterization of excised DNA intermediates associated with V(D)J recombination at the T-cell receptor delta locus

Lymphocyte development requires the assembly of antigen receptor genes through the specialized process of V(D)J recombination. This process is initiated by cleavage at the junction between coding segments (V, D, and J) and the recombination signal sequences that border these segments, resulting in generation of double-strand break intermediates. We have used a two-dimensional gel system to characterize broken molecules arising from V(D)J recombination at the T-cell receptor (TCR) delta locus and have identified linear species excised by Ddelta1-Ddelta2 and V-Ddelta2 rearrangement in thymus DNA. Relatively few (approximately 10) V-Ddelta2-excised linear species were detected in DNA from fetal thymocytes. The sizes of these species corresponded to the estimated distances between Ddelta2 and the V gene segments utilized by gammadelta T cells and indicated that both Ddelta2-proximal and -distal V gene segments are targeted for V-Ddelta2 rearrangement. Similar-sized species were observed in DNA from thymocytes of scid mice in which T-cell development is arrested prior to TCR expression. Since previous studies suggest that the TCR alpha/delta locus encodes more than 100 V gene segments, our results indicate that a few select V gene segments are predominantly targeted for rearrangement to Ddelta2, and this primarily accounts for the restricted Vdelta gene repertoire of gammadelta T cells.
A robust adaptive MIMO eigenmode transmission system with ZF beamspace interference canceller

In this paper, we propose an adaptive MIMO EMTS with a beamspace zero forcing (ZF) interference canceller in Rx and a single channel encoder for all eigenmodes. Generalized BER equations for various constellations applicable for all quality of CSI at Tx are also derived. Each eigenmode is modeled as an AWGN channel, to a Nakagami-Rice fading channel and lastly to a Rayleigh fading channel as the CSI at Tx degrades from perfect to partial and to no CSI. Thus our proposed system provides a smooth transition between the different qualities of CSI and encompasses the perfect, partial and no CSI paradigms with the generalized BER equations. With this smooth transition, it is possible to trade feedback frequency (or overhead) with throughput performance according to the system design and channel conditions. Our proposed system is therefore a robust and practical scheme that has the potential for implementation.
Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]

Plant phenotyping is the identification of effects on the phenotype (i.e., the plant appearance and performance) as a result of genotype differences (i.e., differences in the genetic code) and the environmental conditions to which a plant has been exposed [1]? [3]. According to the Food and Agriculture Organization of the United Nations, large-scale experiments in plant phenotyping are a key factor in meeting the agricultural needs of the future to feed the world and provide biomass for energy, while using less water, land, and fertilizer under a constantly evolving environment due to climate change. Working on model plants (such as Arabidopsis), combined with remarkable advances in genotyping, has revolutionized our understanding of biology but has accelerated the need for precision and automation in phenotyping, favoring approaches that provide quantifiable phenotypic information that could be better used to link and find associations in the genotype [4]. While early on, the collection of phenotypes was manual, currently noninvasive, imaging-based methods are increasingly being utilized [5], [6]. However, the rate at which phenotypes are extracted in the field or in the lab is not matching the speed of genotyping and is creating a bottleneck [1].