Miracle-dz/UniFAR-FTUs huggingface dataset:
SWIM: A Simple Model to Generate Small Mobile Worlds

This paper presents small world in motion (SWIM), a new mobility model for ad-hoc networking. SWIM is relatively simple, is easily tuned by setting just a few parameters, and generates traces that look real—synthetic traces have the same statistical properties of real traces. SWIM shows experimentally and theoretically the presence of the power law and exponential decay dichotomy of inter-contact time, and, most importantly, our experiments show that it can predict very accurately the performance of forwarding protocols. Index Terms—Mobility model, small world, simulations, for- warding protocols in mobile networks. I. INTRODUCTION it has been established clearly that models like RWP are not good to simulate human mobility, raising the need of new, more realistic mobility models for mobile ad-hoc networking. In this paper we present small world in motion (SWIM), a simple mobility model that generates small worlds. The model is very simple to implement and very efficient in simulations. The mobility pattern of the nodes is based on a simple intuition on human mobility: People go more often to places not very far from their home and where they can meet a lot of other people. By implementing this simple rule, SWIM is able to raise social behavior among nodes, which we believe to be the base of human mobility in real life. We validate our model using real traces and compare the distribution of inter-contact time, contact duration and number of contact distributions between nodes, showing that synthetic data that we generate match very well real data traces. Furthermore, we show that SWIM can predict well the performance of forwarding protocols. We compare the performance of two forwarding protocols— epidemic forwarding (9) and (a simplified version of) del- egation forwarding (10)—on both real traces and synthetic traces generated with SWIM. The performance of the two protocols on the synthetic traces accurately approximates their performance on real traces, supporting the claim that SWIM is an excellent model for human mobility. The rest of the paper is organized as follows: Section II briefly reports on current work in the field; in Section III we present the details of SWIM and we prove theoretically that the distribution of inter-contact time in SWIM has an exponential tail, as recently observed in real life experiments; Section V compares synthetic data traces to real traces and shows that the distribution of inter-contact time has a head that decays as a power law, again like in real experiments; in Section VI we show our experimental results on the behavior of two forwarding protocols on both synthetic and real traces; lastly, Section VII present some concluding remarks.
Knowledge of welfare reform program provisions among families of children with chronic conditions.

OBJECTIVES This study examined the knowledge of and application for health-related welfare program provisions among beneficiaries with children who have chronic conditions. METHODS We administered a survey to 143 parents of children aged 3 to 16 years with asthma or sickle cell anemia in 2 clinical settings. RESULTS Respondents indicated incomplete knowledge of work requirements (69.9%) and work exemptions (50.3%). Applications for work exemptions were rare, even among Supplemental Security Income recipients (30%). CONCLUSIONS Welfare beneficiaries with children who have chronic conditions show limited knowledge and use of program provisions, placing them at risk for penalties or benefit termination.
Adherence to the Mediterranean diet and consumption of functional foods among the Balearic Islands’ adolescent population

Abstract Objective To assess differences in adherence to the Mediterranean diet (MD) between consumers and non-consumers of functional foods among the Balearic Islands’ adolescent population. Design Cross-sectional nutritional survey carried out (2007–2008) in the Balearic Islands, a Mediterranean region. Dietary assessment was based on a semi-quantitative FFQ and two non-consecutive 24 h recalls. Anthropometric measurements and questions related to socio-economic status, physical activity and adherence to the MD were assessed. Setting Data obtained from a representative sample of all inhabitants living in the Balearic Islands aged 12–17 years. Subjects A random sample (n 1961) of the adolescent population was interviewed. Results The mean adherence to the MD among consumers of functional foods was 56·42 (sd 6·05) % and 55·76 (sd 5·41) % among non-consumers. Consumption of fruit juice, fibre-rich bread/cookies, cereal bars, fish and soya milk was higher among adolescents with high MD adherence, and consumption of modified milk, probiotics, breakfast cereals and infusions was higher among adolescents with low MD adherence. Daily intakes of functional dietary components from plant foods (dietary fibre, vitamins C and E, carotene, folic acid) were higher among adolescents with high MD adherence. Conclusions The Balearic Islands’ adolescent population had moderate adherence to the MD; higher adherence was observed among consumers of functional foods. Average daily intakes of functional foods and functional dietary components were higher among adolescents with high adherence to the MD. Gender, age and low parental education were risk factors for low adherence to the MD, mainly among non-consumers of functional foods.
Robust Co-occurrence Quantification for Lexical Distributional Semantics

Previous optimisations of parameters affecting the word-context association measure used in distributional vector space models have focused either on highdimensional vectors with hundreds of thousands of dimensions, or dense vectors with dimensionality of a few hundreds; but dimensionality of a few thousands is often applied in compositional tasks as it is still computationally feasible and does not require the dimensionality reduction step. We present a systematic study of the interaction of the parameters of the association measure and vector dimensionality, and derive parameter selection heuristics that achieve performance across word similarity and relevance datasets competitive with the results previously reported in the literature achieved by highly dimensional or dense models.
On reconciling data exchange, data integration, and peer data management

Data exchange and virtual data integration have been the subject of several investigations in the recent literature. At the same time, the notion of peer data management has emerged as a powerful abstraction of many forms of flexible and dynamic data-centere ddistributed systems. Although research on the above issues has progressed considerably in the last years, a clear understanding on how to combine data exchange and data integration in peer data management is still missing. This is the subject of the present paper. We start our investigation by first proposing a novel framework for peer data exchange, showing that it is a generalization of the classical data exchange setting. We also present algorithms for all the relevant data exchange tasks, and show that they can all be done in polynomial time with respect to data complexity. Based on the motivation that typical mappings and integrity constraints found in data integration are not captured by peer data exchange, we extend the framework to incorporate these features. One of the main difficulties is that the constraints of this new class are not amenable to materialization. We address this issue by resorting to a suitable combination of virtual and materialized data exchange, showing that the resulting framework is a generalization of both classical data exchange and classical data integration, and that the new setting incorporates the most expressive types of mapping and constraints considered in the two contexts. Finally, we present algorithms for all the relevant data management tasks also in the new setting, and show that, again, their data complexity is polynomial.
Effect of Patching on Reducing Restenosis in the Carotid Revascularization Endarterectomy Versus Stenting Trial

Background and Purpose— The purpose is to determine whether patching during carotid endarterectomy (CEA) affects the perioperative and long-term risks of restenosis, stroke, death, and myocardial infarction as compared with primary closure. Methods— We identified all patients who were randomized and underwent CEA in Carotid Revascularization Endarterectomy versus Stenting Trial. CEA patients who received a patch were compared with patients who underwent CEA with primary closure without a patch. We compared periprocedural and 4-year event rates, 2-year restenosis rates, and rates of reoperation between the 2 groups. We further analyzed results by surgeon specialty. Results— There were 1151 patients who underwent CEA (753 [65%] with patch and 329 [29%] with primary closure). We excluded 44 patients who underwent eversion CEA and 25 patients missing CEA data (5%). Patch use differed by surgeon specialty: 89% of vascular surgeons, 6% of neurosurgeons, and 76% of thoracic surgeons patched. Comparing patients who received a patch versus those who did not, there was a significant reduction in the 2-year risk of restenosis, and this persisted after adjustment by surgeon specialty (hazard ratio, 0.35; 95% confidence interval, 0.16–0.74; P=0.006). There were no significant differences in the rates of periprocedural stroke and death (hazard ratio, 1.58; 95% confidence interval, 0.33–7.58; P=0.57), in immediate reoperation (hazard ratio, 0.6; 95% confidence interval, 0.16–2.27; P=0.45), or in the 4-year risk of ipsilateral stroke (hazard ratio, 1.23; 95% confidence interval, 0.42–3.63; P=0.71). Conclusions— Patch closure in CEA is associated with reduction in restenosis although it is not associated with improved clinical outcomes. Thus, more widespread use of patching should be considered to improve long-term durability. Clinical Trial Registration— URL: http://www.clinicaltrials. gov. Unique identifier: NCT00004732.
Cyclodextrin-based hydrogels toward improved wound dressings

Abstract Optimal wound dressings should be capable of mechanical wound protection and also facilitate the healing process via maintenance of suitable environmental conditions and the controlled delivery of bioactive molecules. Hydrogels present suitable properties for wound-dressing applications such as good biocompatibility, together with a high water content, the latter of which is important for the maintenance of a moist environment and ready removal from the wound with a minimal level of associated pain. However, their properties as drug delivery systems can be improved by the use of cyclodextrins as cross-linking agents. Cyclodextrins have been extensively used as “carriers” on food, textile, cosmetic and, most especially, in the pharmaceutical industry in view of their powerful complexation abilities and biocompatibilities, together with further desirable characteristics. The conjugation of cyclodextrins with hydrogels may allow the achievement of an optimal wound-dressing material, because the hydrogel component will maintain the moist environment required for the healing process, and the cyclodextrin moiety has the ability to protect and modulate the release of bioactive molecules. Therefore, this review aims to gather information regarding cyclodextrin-based hydrogels for possible wound-dressing applications.
Coronary artery bypass grafting using both internal mammary arteries in patients with diabetes mellitus.

OBJECTIVE We sought to describe the use of both internal mammary arteries (IMA) in patients with diabetes mellitus (DM) submitted to coronary artery bypass grafting (CABG). METHOD Between January of 1995 to August of 2005, 4.569 patients received isolated CABG in our institution, of these, 1.298 had DM. Mean sample age was 62 years, and total mortality was 2.18% (100 patients). We have used both IMA's in 700 patients, that here are split in two groups, with DM (group I, 148 patients), and without DM (group II, 552 patients). Patient selection for double IMA grafting was based on coronary artery anatomy and sternal bone quality, the later was evaluated during sternal transsection. When these two factors were considered favorable, we harvested both IMA's, not mattering if the patient had or had not DM. During IMA's harvest, care was taken not to open the pleural spaces. RESULTS There was small difference between the two groups in terms of morbidity and mortality. CONCLUSION Our data suggest that patients with DM can benefit of double IMA's grafting, with little increase in risk for complications if its application is carefully indicated.
Mining High BeneficialItemsets from Transactional Database

Mining high beneficial itemsets from a transactional dB means to identify the itemsets with high utility as profits. Although a number of Algorithms have been invented but there is a problem as it generate large set of candidate Itemsets for High Beneficial Itemsets also require large number of times scan the database.The unit profits and purchased quantities of the items are not taken into considerations in frequent itemset mining and weighted mining only weight is to be considered but not consider the profit. Large number of Item sets decreases the performance of mining with respect to execution time and space requirement. This situation may worse when database contains a large number of Transactions. In proposed system for create UP_tree and UP_tree mining algorithms information of high beneficial itemsets is recorded in tree based data structure called Utility Pattern Tree which is a compact representation of items in transaction database. With the help of Utility Pattern Tree, candidate itemsets generated with only two scans of the database. Proposed algorithms not only reduce a number of candidate itemsets but also work efficiently when database has lots of long transactions. Keywords-Candidate itemsets, data mining, high utility itemsets, utility mining
On Convex Optimization , Fat Shattering and Learning

Oracle complexity of the problem under the oracle based optimization model introduced by Nemirovski & Yudin (1978) is considered. We show that the oracle complexity can be lower bounded by fat-shattering dimension introduced by Kearns & Schapire (1990), a key tool in learning theory. Using this result, we proceed to establish upper bounds on learning rates for agnostic PAC learning with linear predictors in terms of oracle complexity thus showing an inherent relationship between learning and convex optimization.
A new modeling approach for IMA platform early validation

This past few years, avionics platform conception changed to integrated architecture, permitting one processor to host some applications, in order to reduce weight and space. But this method entails more complexity, especially in safety domain, while time to market tends to decrease, so new development processes are needed. Model-based approaches are now mature enough to design embedded critical systems and perform architecture exploration. In this paper we present a new modeling approach allowing avionics platform description and dynamic simulation. This method aim at dimensioning the architecture according to the applications it has to process, and to achieve early platform validation.
The Evolving Food and Nutrition Agenda: Policy and Research Priorities for the Coming Decade

Enormous progress has been made in the past 100 years in improving diet and nutritional status. However, the job is not done. This paper summarizes some of the current challenges and proposes priorities for future research and policy development. The nutrition agenda is more complex than it was 100 years ago. The world now faces undernutrition side-by-side with dietary excess and related chronic diseases. The complexity of modern nutrition necessitates using a systems approach to identifying effective policies and programs. There is a renewed interest in addressing the new nutrition agenda.
Point Line Cover

The input to the NP-hard point line cover problem (PLC) consists of a set P of n points on the plane and a positive integer k; the question is whether there exists a set of at most k lines that pass through all points in P. By straightforward reduction rules, one can efficiently reduce any input to one with at most k2 points. We show that this easy reduction is already essentially tight under standard assumptions. More precisely, unless the polynomial hierarchy collapses to its third level, for any ε > 0, there is no polynomial-time algorithm that reduces every instance (P,k) of PLC to an equivalent instance with O(k2−ε) points. This answers, in the negative, an open problem posed by Lokshtanov [2009]. Our proof uses the notion of a kernel from parameterized complexity, and the machinery for deriving lower bounds on the size of kernels developed by Dell and van Melkebeek [2010, 2014]. It has two main ingredients: We first show, by reduction from vertex cover, that—unless the polynomial hierarchy collapses—PLC has no kernel of total size O(k2−ε) bits. This does not directly imply the claimed lower bound on the number of points, since the best-known polynomial-time encoding of a PLC instance with n points requires ω(n2) bits. To get around this hurdle, we build on work of Alon [1986] and devise an oracle communication protocol of cost O(n log n) for PLC. This protocol, together with the lower bound on the total size (which also holds for such protocols), yields the stated lower bound on the number of points. While a number of essentially tight polynomial lower bounds on total sizes of kernels are known, our result is—to the best of our knowledge—the first to show a nontrivial lower bound for structural/secondary parameters. It is also the first example of a lower bound for kernelization that makes use of the full power of the oracle communication protocol lower bounds that can be obtained from the work of Dell and van Melkebeek. We combine the main abstract ideas of our proof to derive a general recipe that could be used to obtain such lower bounds for other problems with unknown or insufficiently strong encodings.
A Review of Quality Measures for Assessing the Impact of Antimicrobial Stewardship Programs in Hospitals

The growing problem of antimicrobial resistance (AMR) has led to calls for antimicrobial stewardship programs (ASP) to control antibiotic use in healthcare settings. Key strategies include prospective audit with feedback and intervention, and formulary restriction and preauthorization. Education, guidelines, clinical pathways, de-escalation, and intravenous to oral conversion are also part of some programs. Impact and quality of ASP can be assessed using process or outcome measures. Outcome measures are categorized as microbiological, patient or financial outcomes. The objective of this review was to provide an overview of quality measures for assessing ASP and the reported impact of ASP in peer-reviewed studies, focusing particularly on patient outcomes. A literature search of papers published in English between 1990 and June 2015 was conducted in five databases using a combination of search terms. Primary studies of any design were included. A total of 63 studies were included in this review. Four studies defined quality metrics for evaluating ASP. Twenty-one studies assessed the impact of ASP on antimicrobial utilization and cost, 25 studies evaluated impact on resistance patterns and/or rate of Clostridium difficile infection (CDI). Thirteen studies assessed impact on patient outcomes including mortality, length of stay (LOS) and readmission rates. Six of these 13 studies reported non-significant difference in mortality between pre- and post-ASP intervention, and five reported reductions in mortality rate. On LOS, six studies reported shorter LOS post intervention; a significant reduction was reported in one of these studies. Of note, this latter study reported significantly (p < 0.001) higher unplanned readmissions related to infections post-ASP. Patient outcomes need to be a key component of ASP evaluation. The choice of metrics is influenced by data and resource availability. Controlling for confounders must be considered in the design of evaluation studies to adequately capture the impact of ASP and it is important for unintended consequences to be considered. This review provides a starting point toward compiling standard outcome metrics for assessing ASP.
Explorer Uncovering steroidopathy in women with autism : A latent class analysis

Background: Prenatal exposure to increased androgens has been implicated in both polycystic ovary syndrome (PCOS) and autism spectrum conditions (ASC), suggesting that PCOS may be increased among women with ASC. One study suggested elevated steroidopathic symptoms (‘steroidopathy’) in women with ASC. As the symptoms are not independent, we conducted a latent class analysis (LCA). The objectives of the current study are: (1) to test if these findings replicate in a larger sample; and (2) to use LCA to uncover affected clusters of women with ASC. Methods: We tested two groups of women, screened using the Autism Spectrum Quotient Group 1: n = 415 women with ASC (mean age 36.39 ± 11.98 years); and Group 2: n = 415 controls (mean age 39.96 ± 11.92 years). All participants completed the Testosterone-related Medical Questionnaire online. A multiple-group LCA was used to identify differences in latent class structure between women with ASC and controls. Results: There were significant differences in frequency of steroid-related conditions and symptoms between women with ASC and controls. A two-class semi-constrained model best fit the data. Based on response patterns, we identified the classes as ‘Typical’ and ‘Steroidopathic’. The prevalence of the ‘Steroidopathic’ class was significantly increased within the ASC group (ΔG = 15, df =1, P = 0.0001). In particular, we confirmed higher frequencies of epilepsy, amenorrhea, dysmenorrhea, severe acne, gender dysphoria, and transsexualism, and differences in sexual preference in women with ASC. Conclusions: Women with ASC are at increased risk for symptoms and conditions linked to steroids. LCA revealed this steroidopathy despite the apparent underdiagnosis of PCOS.
Impaired Chronotropic and Vasodilator Reserves Limit Exercise Capacity in Patients With Heart Failure and a Preserved Ejection Fraction

Background— Nearly half of patients with heart failure have a preserved ejection fraction (HFpEF). Symptoms of exercise intolerance and dyspnea are most often attributed to diastolic dysfunction; however, impaired systolic and/or arterial vasodilator reserve under stress could also play an important role. Methods and Results— Patients with HFpEF (n=17) and control subjects without heart failure (n=19) generally matched for age, gender, hypertension, diabetes mellitus, obesity, and the presence of left ventricular hypertrophy underwent maximal-effort upright cycle ergometry with radionuclide ventriculography to determine rest and exercise cardiovascular function. Resting cardiovascular function was similar between the 2 groups. Both had limited exercise capacity, but this was more profoundly reduced in HFpEF patients (exercise duration 180±71 versus 455±184 seconds; peak oxygen consumption 9.0±3.4 versus 14.4±3.4 mL · kg−1 · min−1; both P<0.001). At matched low-level workload, HFpEF subjects displayed ≈40% less of an increase in heart rate and cardiac output and less systemic vasodilation (all P<0.05) despite a similar rise in end-diastolic volume, stroke volume, and contractility. Heart rate recovery after exercise was also significantly delayed in HFpEF patients. Exercise capacity correlated with the change in cardiac output, heart rate, and vascular resistance but not end-diastolic volume or stroke volume. Lung blood volume and plasma norepinephrine levels rose similarly with exercise in both groups. Conclusions— HFpEF patients have reduced chronotropic, vasodilator, and cardiac output reserve during exercise compared with matched subjects with hypertensive cardiac hypertrophy. These limitations cannot be ascribed to diastolic abnormalities per se and may provide novel therapeutic targets for interventions to improve exercise capacity in this disorder.