Miracle-dz/UniFAR-FTUs huggingface dataset:
A Network-Assisted User-Centric WiFi-Offloading Model for Maximizing Per-User Throughput in a Heterogeneous Network

In this paper, we propose a novel network-assisted user-centric WiFi-offloading model for maximizing per-user throughput in a heterogeneous network. In the proposed WiFi-offloading model, the heterogeneous network collects network information, such as the number of users in WiFi networks and their traffic load. Then, the network decides the specific portion of traffic to be transmitted via WiFi networks, i.e., φ*, which maximizes the per-user throughput. After informing the φ* to users, users offload their traffic with the probability of φ* and achieve the maximum per-user throughput while offloading more traffic into WiFi networks. Through the proposed WiFi-offloading model, a user and the heterogeneous network achieve 20% higher throughput than the on-the-spot WiFi-offloading model in a dense traffic environment.
Re-using High-quality Resources for Continued Evaluation of Automated Summarization Systems

In this paper we present a method for re-using the human judgements on summary quality provided by the DUC contest. The score to be awarded to automatic summaries is calculated as a function of the scores assigned manually to the most similar summaries for the same document. This approach enhances the standard n-gram based evaluation of automatic summarization systems by establishing similarities between extractive (vs. abstractive) summaries and by taking advantage of the big quantity of evaluated summaries available from the DUC contest. The utility of this method is exemplified by the improvements achieved on a headline production system.
Eurographics/ Acm Siggraph Symposium on Computer Animation (2007) Cubic Shells

Permission to make digital or hard copies of part or all of this wor k for per sonal or classr oom use is granted without fee provided that copies are not made or distributed for commer cial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this wor k owned by other s than ACM must be honored. Abstracting with cr edit is permitted. To copy other wise, to republish, to post on ser ver s, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions Dept, ACM Abstract Hinge-based bending models are widely used in the physically-based animation of cloth, thin plates and shells. We propose a hinge-based model that is simpler to implement, more efficient to compute, and offers a greater number of effective material parameters than existing models. Our formulation builds on two mathematical observations: (a) the bending energy of curved flexible surfaces can be expressed as a cubic polynomial if the surface does not stretch; (b) a general class of anisotropic materials—those that are orthotropic—is captured by appropriate choice of a single stiffness per hinge. Our contribution impacts a general range of surface animation applications, from isotropic cloth and thin plates to orthotropic fracturing thin shells.
Site-matched assessment of structural and tissue properties of cortical bone using scanning acoustic microscopy and synchrotron radiation μCT

200 MHz scanning acoustic microscopy (SAM) and synchrotron radiation μCT (SR-μCT) were used to assess microstructural parameters and tissue properties in site-matched regions of interest in cortical bone. Anterior and postero-lateral regions of ten cross sections from human cortical radius were explored. Structural parameters, including diameter and number of Haversian canals per cortical area (Ca.Dm, N.Ca/Ar) and porosity Po were assessed with both methods using a custom-developed image fusion and analysis software. Acoustic impedance Z and degree of mineralization of bone DMB were extracted separately for osteonal and interstitial tissues from the fused images. Structural parameter estimations obtained from radiographic and acoustic images were almost identical. DMB and impedance values were in the range between 0.77 and 1.28 g cm−3 and 5.13 and 12.1 Mrayl, respectively. Interindividual and regional variations were observed, whereas the strongest difference was found between osteonal and interstitial tissues (Z: 7.2 ± 1.1 Mrayl versus 9.3 ± 1.0 Mrayl, DMB: 1.06 ± 0.07 g cm−3 versus 1.16 ± 0.05 g cm−3, paired t-test, p < 0.05). Weak, but significant correlations between DMB and Z were obtained for the osteonal (R2 = 0.174, p < 10−4) and for the pooled (osteonal and interstitial) data. The regression of the pooled osteonal and interstitial tissue data follows a second-order polynomial (R2 = 0.39, p < 10−4). Both modalities fulfil the requirement for a simultaneous evaluation of cortical bone microstructure and material properties at the tissue level. While SAM inspection is limited to the evaluation of carefully prepared sample surfaces, SR-μCT provides volumetric information on the tissue without substantial preparation requirements. However, SAM provides a quantitative estimate of elastic properties at the tissue level that cannot be captured by SR-μCT.
Bayesian Prediction-Based Energy-Saving Algorithm for Embedded Intelligent Terminal

The Internet of Things (IoT) has received an increasing attention in recent years. Embedded intelligent terminal (EIT), an indispensable part of IoT, works not only as a sensor but also as a primary processor. Due to the limited power resource of EIT, it is important to study how to improve the efficiency of its power use. To tackle this problem, we propose an energy-saving algorithm, Bayesian idle time prediction (BIP). The basic idea of BIP is to explore historical information and obtain a better estimation of idle time. In this paper, we provide a theoretical analysis of BIP and compare our method with three existing algorithms [weighted idle-time-prediction (IP) algorithm, IP algorithm, and running time fixed threshold in IP algorithm] with respect to energy-saving potential, as well as system delay under a random number of tasks. Both simulation and field experiment results demonstrate the advantages of our algorithm in energy saving.
Assocplots: a python package for static and interactive visualization of multiple-group GWAS results

Summary Over the last decade, genome-wide association studies (GWAS) have generated vast amounts of analysis results, requiring development of novel tools for data visualization. Quantile-quantile plots and Manhattan plots are classical tools which have been utilized to visually summarize GWAS results and identify genetic variants significantly associated with traits of interest. However, static visualizations are limiting in the information that can be shown. Here we present Assocplots, a python package for viewing and exploring GWAS results not only using classic static Manhattan and quantile-quantile plots, but also through a dynamic extension which allows to visualize data interactively, and to visualize the relationships between GWAS results from multiple cohorts or studies. Availability The Assocplots package is open source and distributed under the MIT license via GitHub (https://github.com/khramts/assocplots) along with examples, documentation and installation instructions. contact ekhramts@medicine.bsd. uchicago.edu, bstranger@medicine.bsd. uchicago.edu
La médiatisation de l’évaluation et les flux de valeurs

Comment l’espace mediatique (presse, tele, web) faconne-t-il la definition et l’attribution de valeurs pour des entites de toutes sortes ? Au moment ou abondent les instruments d’evaluation fondes sur la quantification – des indicateurs aux classements, des hit-parades aux barometres, des megadonnees au like, des commentaires aux notes – et que concours, prix ou recompenses font flores, ce texte entend eclairer les logiques, les processus et les discours mediatiques a l’œuvre dans la production, la circulation et la publicisation de l’evaluation.
Ezetimibe Added to Statin Therapy after Acute Coronary Syndromes.

BACKGROUND Statin therapy reduces low-density lipoprotein (LDL) cholesterol levels and the risk of cardiovascular events, but whether the addition of ezetimibe, a nonstatin drug that reduces intestinal cholesterol absorption, can reduce the rate of cardiovascular events further is not known. METHODS We conducted a double-blind, randomized trial involving 18,144 patients who had been hospitalized for an acute coronary syndrome within the preceding 10 days and had LDL cholesterol levels of 50 to 100 mg per deciliter (1.3 to 2.6 mmol per liter) if they were receiving lipid-lowering therapy or 50 to 125 mg per deciliter (1.3 to 3.2 mmol per liter) if they were not receiving lipid-lowering therapy. The combination of simvastatin (40 mg) and ezetimibe (10 mg) (simvastatin-ezetimibe) was compared with simvastatin (40 mg) and placebo (simvastatin monotherapy). The primary end point was a composite of cardiovascular death, nonfatal myocardial infarction, unstable angina requiring rehospitalization, coronary revascularization (≥30 days after randomization), or nonfatal stroke. The median follow-up was 6 years. RESULTS The median time-weighted average LDL cholesterol level during the study was 53.7 mg per deciliter (1.4 mmol per liter) in the simvastatin-ezetimibe group, as compared with 69.5 mg per deciliter (1.8 mmol per liter) in the simvastatin-monotherapy group (P<0.001). The Kaplan-Meier event rate for the primary end point at 7 years was 32.7% in the simvastatin-ezetimibe group, as compared with 34.7% in the simvastatin-monotherapy group (absolute risk difference, 2.0 percentage points; hazard ratio, 0.936; 95% confidence interval, 0.89 to 0.99; P=0.016). Rates of prespecified muscle, gallbladder, and hepatic adverse effects and cancer were similar in the two groups. CONCLUSIONS When added to statin therapy, ezetimibe resulted in incremental lowering of LDL cholesterol levels and improved cardiovascular outcomes. Moreover, lowering LDL cholesterol to levels below previous targets provided additional benefit. (Funded by Merck; IMPROVE-IT ClinicalTrials.gov number, NCT00202878.).
Eggs and embryos from the Cambrian.

The early evolution of metazoans is a major focus of biological attention, but is the historical record revealed in the Cambrian "explosion" an accurate reflection of original events? The key questions concern the nature of the earliest animals and when they originated. One widely-mooted suggestion is that planktotrophic larvae, typified by the annelidan trochophore and echinoid pluteus, existed long before the metazoan radiations evident in the Cambrian fossil record. This idea could be consistent for recent evidence of divergence times, based on molecular "clocks," of phyla appearing well before the Cambrian. Now a surprising new discovery of eggs with blastomeres and embryos with well-defined anatomy from the Cambrian (c.530 Myr ago) of China and Siberia promises to extend the arena of debate. In one case a convincing ontogeny can be traced from eggs to adult tube-dwelling cnidarians. In the other example a possible protostome, unhatched and wrapped around the egg, shows segmentation and possibly nascent sclerites. In both, these cases development is direct, i.e., there is no evidence for any planktotrophic larval stage. The implications for our perceptions of both the Cambrian 'explosion' and metazoan phylogeny could be considerable.
Algorithms for ARQ feedback message transmission in IEEE 802.16m systems

This paper proposes two algorithms for automatic repeat request (ARQ) feedback message transmission in IEEE 802.16m systems. The proposed algorithms determine the transmission interval of an ARQ feedback message on the basis of the number of transmitted ARQ blocks or the number of received ARQ blocks. If the receiver frequently transmits ARQ feedback messages, the system throughput increases because there is no need to wait for ARQ feedback acknowledgements, though the feedback overhead also increases. Hence, determining the appropriate transmission time of an ARQ feedback message is very important for reaching a compromise between the throughput and the ARQ feedback overhead. The simulation results show that the proposed algorithms achieve a better throughput level than the conventional scheme described in the IEEE 802.16m standard.
Anxiety and depression in adolescents with polycystic ovary syndrome and Mayer-Rokitansky-Küster-Hauser syndrome

Purpose. The purpose of this study was to assess self-reported depressive and anxiety symptoms in adolescents with polycystic ovary syndrome (PCOS) and those with the rare Mayer-Rokitansky-Küster-Hauser Syndrome (MRKHS), compared with healthy adolescents. Material and methods. The participants were 49 adolescent girls, of whom 27 were patients with confirmed menstrual disorder, 22 with PCOS and 5 with MRKHS; and 22 were healthy eumenorrheic adolescents (control group) matched by age and school grade. The Beck Depression Inventory (BDI) and the State-Trait Anxiety Inventory (STAI-Gr) were used to measure depression and anxiety, respectively. Results. The results showed that it was 1.08 times more likely for the PCOS group (p = 0.043) and 1.12 times more likely for the MRKHS group (p = 0.039) to have higher scores than healthy adolescents on the anxiety scale. The MRKHS group was 1.40 times more likely to have a higher number of depressive symptoms (p = 0.040) than the control group. Conclusions. These findings, although based on a small sample, suggest a relationship between PCOS and MRKHS and the presence of psychological problems, such as anxiety and depressive symptoms in adolescents. This study is among the first to examine psychological difficulties in adolescents with such a rare menstrual syndrome as MRKHS.
Using Music to Treat Epilepsy in Children: A Review

Music is a unique product of human culture. The idea of music having therapeutic effects on human health and behavior is as ancient as the writings of Aristotle and Plato. The therapeutic potential of music has largely been explored in cognitive science. Since the scientific report of the ‘‘Mozart effect’’ was published by Rauscher et al, much attention has been given to the therapeutic role of music in the treatment of human physiology. Although studies about music as a therapeutic option in human epilepsy are limited, emerging evidence has indicated that there may be beneficial effects of music on children with epilepsy. This review aims to summarize the current evidence of music’s potential in treating epilepsy, particularly in children. It includes musical processing in the human brain, the positive effects of music on neurologic function, and music therapy in epileptiform discharges and seizure frequencies. Evidence of short-term and long-term effects on epileptiform discharges and long-term effects on refractory epilepsy is provided. Finally, the role of music components and the potential mechanisms governing the beneficial effects of music are discussed.
On the Stability of BOLD fMRI Correlations

Measurement of correlations between brain regions (functional connectivity) using blood oxygen level dependent (BOLD) fMRI has proven to be a powerful tool for studying the functional organization of the brain. Recently, dynamic functional connectivity has emerged as a major topic in the resting-state BOLD fMRI literature. Here, using simulations and multiple sets of empirical observations, we confirm that imposed task states can alter the correlation structure of BOLD activity. However, we find that observations of "dynamic" BOLD correlations during the resting state are largely explained by sampling variability. Beyond sampling variability, the largest part of observed "dynamics" during rest is attributable to head motion. An additional component of dynamic variability during rest is attributable to fluctuating sleep state. Thus, aside from the preceding explanatory factors, a single correlation structure-as opposed to a sequence of distinct correlation structures-may adequately describe the resting state as measured by BOLD fMRI. These results suggest that resting-state BOLD correlations do not primarily reflect moment-to-moment changes in cognitive content. Rather, resting-state BOLD correlations may predominantly reflect processes concerned with the maintenance of the long-term stability of the brain's functional organization.
Functional outcome of distal femoral fractures treated by minimally invasive surgery using locking condylar plate

Background: The management of distal femoral fractures has presented significant challenge to orthopaedic surgeons since the beginning of this specialty due to a variety of factors. A wide medullary canal, thin cortex and poor bone stock make stable internal fixation in these fractures difficult. Severe soft tissue damage, extensive comminution, intrarticular extension and injury to quadriceps mechanism add up to the unsatisfactory function of these patients. There are numerous studies regarding the management of these fractures with different types of implants and opinion varies among surgeons. We evaluated the clinical, radiographic and functional outcome of distal femoral fractures treated by LCP fixation by minimally invasive technique over a follow up period of two years. Materials and methods: Twenty five adult patients with distal femoral fractures were treated with LCP fixation by minimally invasive technique between December 2008 and November 2010 were included in the study. Patients of less than 18 and more than 80 years of age, pathological fractures, those with head, chest, visceral injuries and those with vascular injuries of the same limb were excluded from the study. All cases were treated by minimally invasive technique using 4.5 LCP. AO/OTA system of classification was used. The functional outcome was evaluated using Neer’s Criteria and Knee Society Score (KSS). The statistical analysis was performed with SPSS V10. Results: Of the 25 patients in the study, 11 were males and 14 were females. The mean age was 51.24 years (range : 21-78 years). 13 of the 25 patients had their left side fractured. There were eight cases of C2 type; seven A2; six A3; two C3 and a case each of C1 and A1type according to AO/OTA classification system. The mean time delay to surgery was four days. The mean surgical time was 83.4 min. The mean follow up period was 28.44 months. The mean radiological fracture union time was 18 weeks. The final functional outcome of knee according to Neer’s criteria was excellent in 10 patients (40%); satisfactory in 12 patients (48%); unsatisfactory in 2 patients. One case was a failure. Conclusion: Minimally invasive LCP fixation of distal femoral fractures is a good option with better functional outcome
Consistency detection in e-contract documents

E-contracts are textual documents describing various details and dependencies in the contract. These dependencies and constraints in an e-contract can be differently stated in different parts of large documents. Determining inconsistencies in an e-contract document is a challenging task. We construct (a) a sentence dependency graph from natural languages sentences, and (b) contract element dependency graph from contract element dependencies existing in the contract document. We present a methodology with the combination of these two graphs that ensures the consistency of the contract. We also present evaluation of our approach on a sample contract document and present visualization for representing the graphs.
Non-Orthogonal View Iris Recognition System

This paper proposes a non-orthogonal view iris recognition system comprising a new iris imaging module, an iris segmentation module, an iris feature extraction module and a classification module. A dual-charge-coupled device camera was developed to capture four-spectral (red, green, blue, and near-infrared) iris images which contain useful information for simplifying the iris segmentation task. An intelligent random sample consensus iris segmentation method is proposed to robustly detect iris boundaries in a four-spectral iris image. In order to match iris images acquired at different off-axis angles, we propose a circle rectification method to reduce the off-axis iris distortion. The rectification parameters are estimated using the detected elliptical pupillary boundary. Furthermore, we propose a novel iris descriptor which characterizes an iris pattern with multiscale step/ridge edge-type maps. The edge-type maps are extracted with the derivative of Gaussian and the Laplacian of Gaussian filters. The iris pattern classification is accomplished by edge-type matching which can be understood intuitively with the concept of classifier ensembles. Experimental results show that the equal error rate of our approach is only 0.04% when recognizing iris images acquired at different off-axis angles within ±30°.
Big Gods, small wonder: supernatural punishment strikes back

Ara Norenzayan’s book Big Gods argues that the problem of maintaining cooperation in burgeoning human civilizations since the agricultural revolution was solved by the cultural evolution of omniscient, omnipotent, and moralizing “supernatural watchers” who could monitor good and bad behavior better than humans. Norenzayan’s theoretical and experimental work in the new field of evolutionary religious studies has been inspirational and groundbreaking, and Big Gods represents a significant advance in the debate. To the audience of this journal, however, I do not need to further extol the many virtues of Big Gods and Norenzayan’s remarkable contributions. Instead, I focus on critiquing Big Gods from the perspective of its main “rival” – the Supernatural Punishment Hypothesis (Johnson, in press; Johnson & Bering, 2006; Johnson & Kruger, 2004; Schloss & Murray, 2011). I argue that, in fact, they are not different theories at all. They differ in their emphasis on evolutionary mechanism (biological vs. cultural selection) and era of focus (Pleistocene vs. Holocene), but they both argue that belief in supernatural punishment fosters cooperation. The Supernatural Punishment Hypothesis is, however, more general on several dimensions and thus Big Gods can be seen as a subset of it. But this overlap is a good thing rather than bad. The key role of supernatural punishment is strongly corroborated by both approaches, they are complementary rather than conflicting, and a fuller understanding of the evolution of religion is likely to come from their integration.
Enabling user-driven Checkpointing strategies in Reverse-mode Automatic Differentiation

This paper presents a new functionality of the Automatic Differentiation (AD) Tool Tapenade. Tapenade generates adjoint codes which are widely used for optimization in CFD. Unfortunately, for large applications the adjoint code demands a great deal of memory, because it needs to store a large set of intermediates values. To cope with that problem, Tapenade implements a sub-optimal version of a technique called checkpointing, which is a trade-off between store and re-computation. Our long-term goal is to provide an optimal checkpointing strategy for every code, not yet achieved by any AD tool. Towards that goal, we first introduce modifications in Tapenade in order to give the user the choice to select the checkpointing strategy most suitable for their code. Second, we conduct experiments in real-size scientific codes in order to gather hints that help us to deduce an optimal checkpointing strategy. Some of the experimental results show memory savings up to 35% and execution time up to 90%.