Miracle-dz/UniFAR-FTUs huggingface dataset:
Data streaming algorithms for accurate and efficient measurement of traffic and flow matrices

The traffic volume between origin/destination (OD) pairs in a network, known as traffic matrix, is essential for efficient network provisioning and traffic engineering. Existing approaches of estimating the traffic matrix, based on statistical inference and/or packet sampling, usually cannot achieve very high estimation accuracy. In this work, we take a brand new approach in attacking this problem. We propose a novel data streaming algorithm that can process traffic stream at very high speed (e.g., 40 Gbps) and produce traffic digests that are orders of magnitude smaller than the traffic stream. By correlating the digests collected at any OD pair using Bayesian statistics, the volume of traffic flowing between the OD pair can be accurately determined. We also establish principles and techniques for optimally combining this streaming method with sampling, when sampling is necessary due to stringent resource constraints. In addition, we propose another data streaming algorithm that estimates flow matrix, a finer-grained characterization than traffic matrix. Flow matrix is concerned with not only the total traffic between an OD pair (traffic matrix), but also how it splits into flows of various sizes. Through rigorous theoretical analysis and extensive synthetic experiments on real Internet traffic, we demonstrate that these two algorithms can produce very accurate estimation of traffic matrix and flow matrix respectively.
Giant Cell Tumor of Long Bone: A Canadian Sarcoma Group Study

A multicentric retrospective study of giant cell tumor of bone was conducted among Canadian surgeons. The hypothesis was that no differences would be found in health status, function, or recurrence rate irrespective to the nature of filling material or adjuvant used in patients treated with curettage. One hundred eighty-six cases were collected. There were 96 females and 90 males. The mean age of the patients was 36 years (range, 14–72 years), the minimum followup was 24 months, and the median followup was 60 months. Sixty-two percent of the tumors involved the knee region. One hundred fifty-eight were primary tumors and 28 were recurrences. Campanacci grading was as follows: Grade 1, seven patients; Grade 2, 100 patients; Grade 3, 76 patients; and unknown in three patients. Fifty-six patients had a pathologic fracture. Resection was done in 38 patients and 148 patients had curettage. The latter was supplemented with high speed burring in 135 patients, cement in 64 patients, various combinations of autograft or allograft bone in 61 patients, phenol in 37 patients, and liquid nitrogen in 10 patients. Structural allografts were used in 25 patients. The overall recurrence rate was 17%, 18% after curettage, and 16% after resection. Patients with primary tumors treated with curettage had a 10% recurrence rate. For recurrent lesions treated by curettage, the recurrence rate was 35%. The nature of the filling material used or the type of adjuvant method used or any combination of both failed to show any statistical impact on the recurrence risk. The results from the Musculoskeletal Tumor Society rating from 1987 were significantly lower in patients who sustained a displaced fracture. Results from the bodily pain section of the Short Form-36 also were found to be lower when a pathologic fracture was present. Results from the Musculoskeletal Tumor Society Rating 1987, the Short Form-36, and the Toronto Extremity Salvage Score did not show differences when either cement or bone graft were used after curettage.
CLIENTS' PERCEPTIONS OF THE THERAPEUTIC RELATIONSHIP AND ITS ROLE IN OUTCOME

Psychotherapy research indicates that the therapeutic relationship influences counselling outcome, though the mechanism by which relationship contributes to change is unknown. This study investigated clients' perceptions of the therapeutic relationship and its role in their change processes. Twelve clients at college based counselling centres were interviewed using a semi-structured interview format. The qualitative data obtained in this study was coded and analyzed using grounded theory methodology. A grounded theory was generated, identifying two core categories and five related categories. The theory provides a detailed model of change that highlights the complexities of the therapeutic relationship. Similarities between the theory generated from the data and principles of attachment theory are discussed.
Implementation of the STOP protocol for Stroke Prevention in Sickle Cell Anemia by using duplex power Doppler imaging.

PURPOSE To compare the results of the nonduplex ultrasonography (US) Stroke Prevention Trial in Sickle Cell Anemia (STOP) with those of transcranial duplex power Doppler US by using the STOP protocol and to correlate abnormal transcranial Doppler findings with magnetic resonance (MR) imaging and MR angiographic findings. MATERIALS AND METHODS One hundred twenty-five asymptomatic patients aged 2-16 years with sickle cell anemia or sickle cell-beta thalassemia were examined by using transcranial duplex power Doppler US with a 2.5-MHz transducer and classified according to STOP criteria. The results were compared with those obtained in the nonduplex STOP study. Eight of 10 patients with abnormal results, as well as one who had normal results and a subsequent stroke, were examined with MR imaging and MR angiography. RESULTS Ten (8.0%) patients were judged to have abnormal findings by using the duplex Doppler US and STOP criteria compared with 9.4% of patients in the nonduplex US STOP study. Of the eight patients with abnormal transcranial Doppler US results who underwent MR imaging and MR angiography, six had abnormal MR imaging findings and all eight had abnormal MR angiographic findings. CONCLUSION The STOP protocol can be reproduced by using duplex power Doppler US. Abnormal results with the STOP criteria strongly suggest vascular abnormality.
Sample Size Choice for Microarray Experiments

We review Bayesian sample size arguments for microarray experiments, focusing on a decision theoretic approach. We start by introducing a choice based on minimizing expected loss as theoretical ideal. Practical limitations of this approach quickly lead us to consider a compromise solution that combines this idealized solution with a sensitivity argument. The finally proposed approach relies on conditional expected loss, conditional on an assumed true level of differential expression to be discovered. The expression for expected loss can be interpreted as a version of power, thus providing for ease of interpretation and communication.
The Parameter-Optimized ATEC Metric for MT Evaluation

This paper describes the latest version of the ATEC metric for automatic MT evaluation, with parameters optimized for word choice and word order, the two fundamental features of language that the metric relies on. The former is assessed by matching at various linguistic levels and weighting the informativeness of both matched and unmatched words. The latter is quantified in term of word position and information flow. We also discuss those aspects of language not yet covered by other existing evaluation metrics but carefully considered in the formulation of our metric.
Compensating for thalamocortical synaptic loss in Alzheimer's disease

The study presents a thalamocortical network model which oscillates within the alpha frequency band (8–13 Hz) as recorded in the wakeful relaxed state with closed eyes to study the neural causes of abnormal oscillatory activity in Alzheimer's disease (AD). Incorporated within the model are various types of cortical excitatory and inhibitory neurons, recurrently connected to thalamic and reticular thalamic regions with the ratios and distances derived from the mammalian thalamocortical system. The model is utilized to study the impacts of four types of connectivity loss on the model's spectral dynamics. The study focuses on investigating degeneration of corticocortical, thalamocortical, corticothalamic, and corticoreticular couplings, with an emphasis on the influence of each modeled case on the spectral output of the model. Synaptic compensation has been included in each model to examine the interplay between synaptic deletion and compensation mechanisms, and the oscillatory activity of the network. The results of power spectra and event related desynchronization/synchronization (ERD/S) analyses show that the dynamics of the thalamic and cortical oscillations are significantly influenced by corticocortical synaptic loss. Interestingly, the patterns of changes in thalamic spectral activity are correlated with those in the cortical model. Similarly, the thalamic oscillatory activity is diminished after partial corticothalamic denervation. The results suggest that thalamic atrophy is a secondary pathology to cortical shrinkage in Alzheimer's disease. In addition, this study finds that the inhibition from neurons in the thalamic reticular nucleus (RTN) to thalamic relay (TCR) neurons plays a key role in regulating thalamic oscillations; disinhibition disrupts thalamic oscillatory activity even though TCR neurons are more depolarized after being released from RTN inhibition. This study provides information that can be explored experimentally to further our understanding on the neurodegeneration associated with AD pathology.
A systematic review of psychotherapeutic interventions for women with metastatic breast cancer: Context matters

To summarise the evidence‐base of psychological interventions for women with metastatic breast cancer, by mode of delivery (group, individual, or low‐intensity interventions). To synthesise data regarding core intervention‐elements (eg, intervention duration) and context factors (trial setting, uptake and adherence, and demographic characteristics).
Evaluating genetic algorithms with different population structures on a lot sizing and scheduling problem

This paper studies the use of different population structures in a Genetic Algorithm (GA) applied to lot sizing and scheduling problems. The population approaches are divided into two types: single-population and multi-population. The first type has a non-structured single population. The multi-population type presents non-structured and structured populations organized in binary and ternary trees. Each population approach is tested on lot sizing and scheduling problems found in soft drink companies. These problems have two interdependent levels with decisions concerning raw material storage and soft drink bottling. The challenge is to simultaneously determine the lot sizing and scheduling of raw materials in tanks and products in lines. Computational results are reported allowing determining the better population structure for the set of problem instances evaluated.
Chaos control of permanent magnet synchronous motor

A nonlinear chaos controller based on the adaptive backstepping approach for a chaotic PMSM drive is proposed. The controller is designed to prevent the PMSM drive from chaos and make it track the desired speed command. With the proposed controller, the PMSM drive could recover from chaotic behavior quickly and possesses good transient performance and robustness to parameter uncertainties. Finally, numerical simulations are carried out to validate the effectiveness of the proposed approach.
Towards Making BOINC and EGEE Interoperable

Today basically two grid concepts rule the world: service grids and desktop grids. Service grids offer an infrastructure for grid users, thus require notable management to keep the service running. On the other hand, desktop grids aim to utilize free CPU cycles of cheap desktop PCs, are easy to set up, but the availability towards users is limited compared to the service grid. The aim of the EDGeS project is to create an integrated infrastructure that combines the advantages of the two grid concepts. A building block of this infrastructure is bridging between the different grid types. In the paper we focus on bridging from desktop grids towards service grids, i.e. making desktop grids able to utilize free service grid resources.
QUASI-MONTE CARLO METHODS FOR HIGH-DIMENSIONAL INTEGRATION: THE STANDARD (WEIGHTED HILBERT SPACE) SETTING AND BEYOND

Abstract This paper is a contemporary review of quasi-Monte Carlo (QMC) methods, that is, equal-weight rules for the approximate evaluation of high-dimensional integrals over the unit cube [0,1]s. It first introduces the by-now standard setting of weighted Hilbert spaces of functions with square-integrable mixed first derivatives, and then indicates alternative settings, such as non-Hilbert spaces, that can sometimes be more suitable. Original contributions include the extension of the fast component-by-component (CBC) construction of lattice rules that achieve the optimal convergence order (a rate of almost 1/N, where N is the number of points, independently of dimension) to so-called “product and order dependent” (POD) weights, as seen in some recent applications. Although the paper has a strong focus on lattice rules, the function space settings are applicable to all QMC methods. Furthermore, the error analysis and construction of lattice rules can be adapted to polynomial lattice rules from the family of digital nets.
How to select optimal portfolio in -stable markets

This paper generalizes the traditional Mean-Variance method in portfolio analysis when asset returns are assumed to be jointly stable. An-stable eecient frontier is computed and compared to the classical Gaussian one. The eecient frontier computed from this analysis model dominates the one deened in terms of the Markowitz portfolio selection model criterion. Choix optimal de portefeuille dans un march e-stable R esum e : Nous d eenissons en mati ere de choix de portefeuilles, un mod ele d'analyse des portefeuilles eecients dans un contexte o u les taux de rentabilit e des actifs suivent une loi-stable multivari ee. La repr esentation des portefeuilles eecients 1.7-stables et gaussiens dans la m^ eme espace (rentabi-lit e esp er ee,param etre d' echelle), montre que la fronti ere eeciente 1.7-stable domine son homologue gaussienne.
A comparative study of short chain and long chain mercapto acids used in biosensor fabrication: A VEGF-R1-based immunosensor as a model system

A novel impedimetric biosensor utilizing a biological receptor, vascular endothelial growth factor receptor-1 (VEGF-R1), was developed for the determination of vascular endothelial growth factor (VEGF). VEGF-R1 was covalently immobilized by coupling with 11-mercaptoundecanoic acid, which formed a self-assembled monolayer on gold electrodes. Cyclic voltammetry and electrochemical impedance spectroscopy techniques were employed to characterize the immobilization process and to detect VEGF. To successfully construct the biosensor current, the experimental parameters were optimized. A Kramers–Kronig transform was performed on the experimental impedance data. The results obtained provided a linear response range from 1 to 6 ng/mL human VEGF. The applicability of the biosensor developed to determine VEGF in a spiked artificial human serum sample was tested. The important parameters related with the biosensors fabricated by using two different mercapto acids were compared in terms of the self-assembly processes, the activation conditions of –COOH ends, linear ranges obtained for VEGF, repeatabilities and reproducibilities, and cleaning procedures. The results of this study revealed that the length of the mercapto acids used for biosensor fabrication considerably affected the analytical performance and the practicability of the preparation of the biosensor.
Analysis Conducting Antennas Using TD-EFIE

To analysis antennas in time domain using the implicit EFIE which based on the method of moment was studied. A new method, adding the inspire voltage source directly in time domain, was proposed. Simply through FFT the data of time domain, the ultra wide band frequency data can be obtained. Calculating time was greatly saved compared to the method of analysis in the frequency domain point by point. Two antennas were considered, the validity and stability of the method was proved.
FluCaP: A Heuristic Search Planner for First-Order MDPs

We present a heuristic search algorithm for solving first-order Markov Decision Processes (FOMDPs). Our approach combines first-order state abstraction that avoids evaluating states individually, and heuristic search that avoids evaluating all states. Firstly, in contrast to existing systems, which start with propositionalizing the FOMDP and then perform state abstraction on its propositionalized version we apply state abstraction directly on the FOMDP avoiding propositionalization. This kind of abstraction is referred to as first-order state abstraction. Secondly, guided by an admissible heuristic, the search is restricted to those states that are reachable from the initial state. We demonstrate the usefulness of the above techniques for solving FOMDPs with a system, referred to as FluCaP (formerly, FCPlanner), that entered the probabilistic track of the 2004 International Planning Competition (IPC'2004) and demonstrated an advantage over other planners on the problems represented in first-order terms.
A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition

A Brain-Computer Interface (BCI) is a setup permitting the control of external devices by decoding brain activity. Electroencephalography (EEG) has been extensively used for decoding brain activity since it is non-invasive, cheap, portable, and has high temporal resolution to allow real-time operation. Due to its poor spatial specificity, BCIs based on EEG can require extensive training and multiple trials to decode brain activity (consequently slowing down the operation of the BCI). On the other hand, BCIs based on functional magnetic resonance imaging (fMRI) are more accurate owing to its superior spatial resolution and sensitivity to underlying neuronal processes which are functionally localized. However, due to its relatively low temporal resolution, high cost, and lack of portability, fMRI is unlikely to be used for routine BCI. We propose a new approach for transferring the capabilities of fMRI to EEG, which includes simultaneous EEG/fMRI sessions for finding a mapping from EEG to fMRI, followed by a BCI run from only EEG data, but driven by fMRI-like features obtained from the mapping identified previously. Our novel data-driven method is likely to discover latent linkages between electrical and hemodynamic signatures of neural activity hitherto unexplored using model-driven methods, and is likely to serve as a template for a novel multi-modal strategy wherein cross-modal EEG-fMRI interactions are exploited for the operation of a unimodal EEG system, leading to a new generation of EEG-based BCIs.
A Qualitative Comparison of the Reactivities of 3,4,4,5-Tetrachloro-4H-1,2,6-thiadiazine and 4,5-Dichloro-1,2,3-dithiazolium Chloride

The high yielding transformations of 3,4,4,5-tetrachloro-4H-1,2,6-thiadiazine into 3,5-dichloro-4H-1,2,6-thiadiazin-4-one (up to 85%) and 2-(3,5-dichloro-4H-1,2,6-thiadiazin-4-ylidene)malononitrile (up to 83%) have been investigated and compared to the analogous transformations of the closely-related 4,5-dichloro-1,2,3-dithiazolium chloride (Appel’s salt) into 4-chloro-5H-1,2,3-dithiazol-5-one and 2-(4-chloro-5H-1,2,3-dithiazol-5-ylidene)malononitrile. Furthermore, cyclocondensation of 3,4,4,5-tetrachloro-4H-1,2,6-thiadiazine with 2-aminophenol and 1,2-benzenediamines gave fused 4H-1,2,6-thiadiazines in 68%–85% yields.
Implementing a Japanese Semantic Parser Based on Glue Approach

This paper describes the implementation of a Japanese semantic parser based on glue approach. The parser is designed as domain-independent, and produces fully scoped higher-order intensional logical expressions, coping with semantically ambiguous sentences without storage mechanism. It is constructed from an English semantic parser on top of Lexical-Functional Grammar (LFG), and it attains broad coverage through relatively little construction effort, thanks to the parallelism of the LFG grammars. I outline the parser, and I present the analyses of Japanese idiosyncratic expressions including floated numerical quantifiers, showing the distinct readings of distributive and cumulative, as well as a double-subject construction and focus particles. I also explain the analyses of expressions that are syntactically parallel but semantically distinct, such as relative tense in subordinate clauses.
A Mobile User Interface for Threading , Marking , and Previewing Email

Email has become a vital center for managing work, and has a growing role on mobile devices. However, the challenge of creating user interfaces to support the complex ways people manage their email are exacerbated by the limitations of mobile devices, notably in screen size and input mechanisms. We address this challenge by enhancing a PDA’s inbox with user interface tools for viewing and navigating threaded email discussions, marking messages with gestural pop-up menus, and previewing content with one-line “ticker-tape” displays. Our paper describes these user interface contributions, the underlying implementation of our prototype, and reflects on reactions from prospective users.
First trimester combined screening for preeclampsia and small for gestational age - a single centre experience and validation of the FMF screening algorithm.

AIM OF THE STUDY Preeclampsia (PE) is associated with severe maternal and fetal morbidity in the acute presentation and there is increasing evidence that it is also an important risk factor for cardiovascular disease later in life. Therefore, preventive strategies are of utmost importance. The Fetal Medicine Foundation (FMF) London recently developed a first trimester screening algorithm for placenta-related pregnancy complications, in particular early onset preeclampsia (eoPE) requiring delivery before 34 weeks, and preterm small for gestational age (pSGA), with a birth weight <5th percentile and delivery before 37 weeks of gestation, based on maternal history and characteristics, and biochemical and biophysical parameters. The aim of this study was to test the performance of this algorithm in our setting and to perform an external validation of the screening algorithm. MATERIAL AND METHODS Between September 2013 and April 2016, all consecutive women with singleton pregnancies who agreed to this screening were included in the study. The proposed cut-offs of ≥1:200 for eoPE, and ≥1:150 for pSGA were applied. Risk calculations were performed with Viewpoint® program (GE, Mountainview, CA, USA) and statistical analysis with GraphPad version 5.0 for Windows. RESULTS 1372 women agreed to PE screening; the 1129 with complete data and a live birth were included in this study. Nineteen (1.68%) developed PE: 14 (1.24%) at term (tPE) and 5 (0.44%) preterm (pPE, <37 weeks), including 2 (0.18%) with eoPE. Overall, 97/1129 (8.6%) screened positive for eoPE, including both pregnancies that resulted in eoPE and 4/5 (80%) that resulted in pPE. Forty-nine of 1110 (4.41%) pregnancies without PE resulted in SGA, 3 (0.27%) of them in pSGA. A total of 210/1110 (18.9%) non-PE pregnancies screened positive for pSGA, including 2/3 (66.7%) of the pSGA deliveries and 18/46 (39.1%) of term SGA infants. CONCLUSION Our results show that first trimester PE screening in our population performs well and according to expectations, whereas screening for SGA is associated with a high false positive rate.