Miracle-dz/UniFAR-FTUs huggingface dataset:
Adoption of the medical home in Connecticut.

OBJECTIVE To examine the implementation of key features of the medical home concept, with its emphasis on chronic care and disease management, care coordination, case management and timely access to care in Connecticut primary-care practices, and to examine predictors of its implementation in Connecticut. METHODS Primary care physicians affiliated with the Connecticut Chapter of the American College of Physicians (n = 1088), the Connecticut Chapter of the American Academy of Pediatrics (n = 699), and the Connecticut Academy of Family Physicians (n = 376) were invited to participate in a brief online survey. Participation was limited to physicians who were actively engaged in primary-care medicine as determined by the respondent based on information provided as part of the survey. RESULTS Four hundred ninty-eight primary-care physicians practicing in Connecticut completed the survey resulting in an overall response rate of 23%. In general, many of the core components of the medical home concept were not widely implemented yet in Connecticut. Most common were registries of patients with chronic diseases (33% of sample) and open or advanced access scheduling (57% of sample). Electronic medical records (EMR) systems were currently used by 39% of primary care physicians. Substantial differences by specialty were observed, with chronic disease registries and advanced/open access scheduling significantly less common among internists, and EMR systems significantly less common among pediatricians. The only factor consistently associated with increased likelihood of implementing the medical home concept was larger practice size (number of practicing physicians within the medical practice). Open or advanced access scheduling resulted in significantly shorter appointment wait times for patients. CONCLUSION These results reveal that the adoption of the medical home model among Connecticut primary-care physicians remains in its infancy and suggests possible approaches to removing barriers to the implementation of the medical home model in Connecticut.
Flight simulator servo system friction compensation based on variable structure control

As friction is the main nonlinear resistance in the flight simulator servo system which can lead to overall flight simulator performance degradation. The mathematical model of flight simulator servo system was created based on a three-axis servo system and the LuGre friction model was analyzed. Exponential approach law was introduced into variable structure control and the robust controller was realized. The simulation result shows the sliding mode controller has superior position tracking and speed tracking performance for low speed servo system with friction compensated effectively.
A fast fuzzy c-means algorithm for color image segmentation

Color image segmentation is a fundamental task in many computer vision problems. A common approach is to use fuzzy iterative clustering algorithms that provide a partition of the pixels into a given number of clusters. However, most of these algorithms present several drawbacks: they are time consuming, and sensitive to initialization and noise. In this paper, we propose a new fuzzy c-means algorithm aiming at correcting such drawbacks. It relies on a new efficient cluster centers initialization and color quantization allowing faster and more accurate convergence such that it is suitable to segment very large color images. Thanks to color quantization and a new spatial regularization, the proposed algorithm is also more robust. Experiments on real images show the efficiency in terms of both accuracy and computation time of the proposed algorithm as compared to recent methods of the literature.
Nominal Schemas for Integrating Rules and Ontologies

We propose a description-logic style extension of OWL DL, which includes DL-safe variable SWRL and seamlessly integrates datalog rules. Our language also sports a tractable fragment, which we call ELP 2, covering OWL EL, OWL RL, most of OWL QL, and variable restricted datalog.
Molecular Evolution of Candidate Genes for Crop-Related Traits in Sunflower (Helianthus annuus L.)

Evolutionary analyses aimed at detecting the molecular signature of selection during crop domestication and/or improvement can be used to identify genes or genomic regions of likely agronomic importance. Here, we describe the DNA sequence-based characterization of a pool of candidate genes for crop-related traits in sunflower. These genes, which were identified based on homology to genes of known effect in other study systems, were initially sequenced from a panel of improved lines. All genes that exhibited a paucity of sequence diversity, consistent with the possible effects of selection during the evolution of cultivated sunflower, were then sequenced from a panel of wild sunflower accessions an outgroup. These data enabled formal tests for the effects of selection in shaping sequence diversity at these loci. When selection was detected, we further sequenced these genes from a panel of primitive landraces, thereby allowing us to investigate the likely timing of selection (i.e., domestication vs. improvement). We ultimately identified seven genes that exhibited the signature of positive selection during either domestication or improvement. Genetic mapping of a subset of these genes revealed co-localization between candidates for genes involved in the determination of flowering time, seed germination, plant growth/development, and branching and QTL that were previously identified for these traits in cultivated × wild sunflower mapping populations.
Managing semantic Grid metadata in S-OGSA

Grid resources such as data, services, and equipment, are increasingly being annotated with descriptive metadata that facilitates their discovery and their use in the context of Virtual Organizations (VO). Making such growing body of metadata explicit and available to Grid services is key to the success of the VO paradigm. In this paper we present a model and management architecture for Semantic Bindings, i.e., firstclass Grid entities that encapsulate metadata on the Grid and make it available through predictable access patterns. The model is at the core of the S-OGSA reference architecture for the Semantic Grid.
Overcoming the Power Wall by Exploiting Application Inexactness and Emerging COTS Architectural Features : Trading Precision for Improving Application Quality

Energy and power consumption are major limitations to continued scaling of computing systems. Inexactness where the quality of the solution can be traded for energy savings has been proposed as a counterintuitive approach to overcoming those limitation. However, in the past, inexactness has been necessitated the need for highly customized or specialized hardware. In order to move away from customization, in earlier work [1], it was shown that by interpreting precision in the computation to be the parameter to trade to achieve inexactness, weather prediction and page rank could both benefit in terms of yielding energy savings through reduced precision, while preserving the quality of the application. However, this required representations of numbers that were not readily available on commercial off-theshelf (COTS) processors. In this paper, we provide opportunities for extending the notion of trading precision for energy savings into the world COTS. We provide a model and analyze the opportunities and behavior of all three IEEE compliant precision values available on COTS processors: (i) double (ii) single, and (iii) half. Through measurements, we show through a limit study energy savings in going from double precision to half precision are a factor of 3.98.
The Robin problem for the scalar Oseen equation

We study the Robin problem for the scalar Oseen equation in an open n‐dimensional set with compact Ljapunov boundary. We prescribe two types of Robin boundary conditions, and prove the unique solvability of these problems as well as a representation formula for the solution in form of a scalar Oseen single layer potential. Moreover, we prove the maximum principle for the solution to the Robin problem of the scalar Oseen equation. Copyright © 2013 John Wiley & Sons, Ltd.
Looking Out for The Secret Wound: The Effect of E-Cognitive Group Therapy with Emotional Disclosure on The Status of Mental Health in Infertile Women

Background: Considering the high prevalence of psychiatric disorders among infertile women, it seems that gynecologists, psychiatrists, and psychologists should be more attentive to identify and treat these disorders. The aim of this study is to determine the effect of E-cognitive group therapy with emotional disclosure on mentwal health status of infertile women who are receiving assisted reproduction. Materials and Methods: In this randomized clinical trial study, 80 infertile women who were receiving hormonal therapy or other assisted reproductive technologies (ART) were randomly allocated to the cognitive-behavioral treatment (CBT) group or the control group. The CBT group had a weekly 12-hour meeting for a period of three months. They also participated in some painting sessions (art therapy) and written and verbal emotional disclosure (both individually and in group presentation). The Depression, Anxiety, Stress Scales (DASS) test and Penn State Worry Questionnaire (PSWQ) were used for data gathering. Results: Results showed the level of psychological distress decreased in the control group, but not significantly. Psychological intervention in the treatment group significantly lowered the level of psychological distress; the mean score of DASS in all aspects was significant. The difference between the mean score of the two groups after intervention was significant (p=0.001) and also according to ANCOVA (p=0.002). Differences were significant between the mean scores of both groups in the PSWQ (p=0.001), Inventory Test (p=0.001), which was confirmed by ANCOVA (p=0.009). Conclusion: These finding suggest that CBT with emotional self-disclosure promotes coping strategies among infertile women. Results also show that these approaches develop mental health and decrease stress in infertile women. Using a psychiatric approach in medical settings could help infertile women to promote their adjustment with mental health problems due to of in infertility. (Registration Number: IRCT201108247407N2).
Les innovations technologiques, leviers de réduction du gaspillage dans le secteur agroalimentaire : enjeux pour les consommateurs et les entreprises

Cet article porte sur les innovations technologiques pouvant etre mises en oeuvre par les industries agroalimentaires pour agir sur le gaspillage dans la distribution, la restauration et la consommation finale par les menages. Dans le cadre d’une etude commanditee par le ministere de l’Agriculture, de l’Agroalimentaire et de la Foret, et par le ministere de l’Economie, de l’Industrie et du Numerique, vingt-six innovations dans le domaine des emballages et des technologies de conservation des aliments ont ete evaluees. Une analyse de la perception de ces innovations par les consommateurs et des conditions de leur adoption par les differents acteurs de la chaine alimentaire a permis de mesurer leur attractivite, en prenant en compte les possibilites d’evolution des technologies a dix ans. Accompagner le developpement de ces innovations pourrait contribuer a reduire le gaspillage alimentaire
Functional dyspepsia: new insights into pathogenesis and therapy

One in 10 people suffer from functional dyspepsia (FD), a clinical syndrome comprising chronic bothersome early satiety, or postprandial fullness, or epigastric pain or burning. Postprandial distress syndrome (PDS, comprising early satiety and/or postprandial fullness) and epigastric pain syndrome (EPS) are increasingly accepted as valid clinical entities, based on new insights into the pathophysiology and the results of clinical trials. Diagnosis is based on the clinical history, and exclusion of peptic ulcer and cancer by endoscopy. Evidence is accumulating FD and gastroesophageal ref lux disease are part of the same disease spectrum in a major subset. The causes of FD remain to be established, but accumulating data suggest infections and possibly food may play an important role in subsets. FD does not equate with no pathology; duodenal eosinophilia is now an accepted association, and Helicobacter pylori infection is considered to be causally linked to dyspepsia although only a minority will respond to eradication. In those with EPS, acid suppression therapy is a first line therapy; consider a H2 blocker even if proton pump inhibitor fails. In PDS, a prokinetic is preferred. Second line therapy includes administration of a tricyclic antidepressant in low doses, or mirtazapine, but not a selective serotonin reuptake inhibitor.
Love on the Run: An Analysis of User Behaviour in Online Dating

Online dating has transformed the way people date. From a wide range of suggestions to optimizing suggestions to suit your needs, online dating offers it all. In this article, we present a critical analysis of the behavior of people who use online dating. We study how a user searches for a potential date online and what attributes interests him in clicking on the potential date's profile. We consider how online dating differs from conventional dating and how users accept the transition from dating in real life to dating in digital life. Since there is little or no verbal and face to face interaction, authenticity becomes an issue in online dating. Aware of this fact, men and women react differently to deception online. We study how men and women differ in their online behavior.
Tensor Networks and Quantum Error Correction

We establish several relations between quantum error correction (QEC) and tensor network (TN) methods of quantum many-body physics. We exhibit correspondences between well-known families of QEC codes and TNs, and demonstrate a formal equivalence between decoding a QEC code and contracting a TN. We build on this equivalence to propose a new family of quantum codes and decoding algorithms that generalize and improve upon quantum polar codes and successive cancellation decoding in a natural way.
Co-evolution of agent strategies in N-player dilemmas

Understanding how cooperative behaviour emerges within a population of individuals has been the focus of a great deal of research in the multi-agent systems community. In this paper, we examine the effectiveness of two different learning mechanisms -- an evolutionary-based technique and a social imitation technique -- in promoting and maintaining cooperation in the spatial N-player Iterated Prisoner's Dilemma (NIPD) game. Comprehensive Monte Carlo simulation experiments show that both mechanisms are able to evolve high levels of cooperation in the NIPD despite the diminished impact of direct reciprocation. However, the performance of evolutionary learning is significantly better than social learning, especially for larger population sizes. Our conclusion implies that when designing autonomous agents situated in complex environments, the use of evolutionary-based adaptation mechanisms will help realising efficient collective actions.
Loop problem in proteins: Developments on Monte Carlo simulated annealing approach

Calculations of loop segments in bovine pancreatic trypsin inhibitor starting from random conformations are more efficient, reproducible, and reliable due to several program enhancements. Monte Carlo simulated annealing (MCSA) calculations of a five‐residue α‐helix N‐terminus segment (H5) and β‐strand segment (B5) in this study are compared to the corresponding loop calculations in our previous study. Characteristics of the calculations are: the lowest final total energy conformations (LECs) are within 5 kcal/mol; the average backbone deviations of the computed segments from the native X‐ray conformations are 0.43 ± 0.15 Å for H5 and 0.68 ± 0.20 Å for B5; and all the native backbone‐backbone hydrogen bonds (H bonds) are present in the best LECs. Compared to the previous study, the H5 and B5 calculations are about 3 and 24 times more efficient, respectively. In the analysis of the best H5 simulated annealing run, backbone‐backbone H bonds appear between RT = 4 and 70 kcal/mol, where RT is the Boltzmann temperature factor. H bonds that involve side chains appear in the RT = 1–10 kcal/mol range. Program enhancements implemented are varying main chain versus side chain dihedral angle selection rate, varying ϕ/ψ and χ1/χ2 dihedral angles in pairs, the use of main chain and side chain rotamer libraries, and varying the location of the segment origin. © 1996 by John Wiley & Sons, Inc.
Matrix Codes as Ideals for Grassmannian Codes and their Weight Properties

A systematic way of constructing Grassmannian codes endowed with the subspace distance as lifts of matrix codes over the prime field $GF(p)$ is introduced. The matrix codes are $GF(p)$-subspaces of the ring $M_2(GF(p))$ of $2 \times 2$ matrices over $GF(p)$ on which the rank metric is applied, and are generated as one-sided proper principal ideals by idempotent elements of $M_2(GF(p))$. Furthermore a weight function on the non-commutative matrix ring $M_2(GF(p))$, $q$ a power of $p$, is studied in terms of the egalitarian and homogeneous conditions. The rank weight distribution of $M_2(GF(q))$ is completely determined by the general linear group $GL(2,q)$. Finally a weight function on subspace codes is analogously defined and its egalitarian property is examined.
The Role of Governance in ERP System Implementation

The implementation of ERP systems is a complex undertaking, which has a wide-reaching impact on key stakeholders including staff and customers. This research-in-progress paper summarises the first stage of a research project which investigates the role of governance in ERP systems implementations. It presents a matrix which maps well-documented ERP risks and influences on success against their locus of control: project governance, IT governance or organisational governance. The matrix will be applied to an in-depth case study of ERP implementation in a large service organization.
Questions of Trust

We consider the application of Game Theory in the model- ing of different strategies of politeness. In particular, we examine how differences in the linguistic form of requests and proposals map onto the structure of the game being played by interlocutors. We show how considerations of social wants (1, 2) and coordination and cooperation motivate these differences. First, we adapt the notion of other-regarding preferences (3, 4) to show how linguistic systems with the ability to en- code politeness strategies allow for requests and cooperation between a wider range of individuals. Finally, we connect the distinction between requests and proposals to the notion of a self-enforcing equilibrium (5).
Polyelectrolytes as Drug Carriers. Analysis by Dynamic Light Scattering of Reconstituted and in-situ Prepared Model Polymethacrylate-Drug Aqueous Dispersions

This article reports dynamic light scattering (DLS) data, and electrokinetic � -potentials of aqueous dispersions of two linear flexible polymethacrylic acid derivatives Eudragit ® L100 (EuL) and S100 (EuS) loaded with two model drugs (D), lidocaine (Ld) and atenolol (At). Dispersions of EuL and EuS at 1,0 % neutralized with increasing percentages (50, 75 and 100 mole %) of each D exhibited a unimodal scattering distribution rendering diffusion coefficients (DC) in the interval of 4 to 9. 10 -9 cm 2 /s. All dispersions 50% neutralized exhibited quite similar DC. However, the effect of in- creasing neutralization followed a different pattern in each Eudragit ® . All dispersions exhibited high negative � -potentials that were lower at 100% with respect to 50% loading. Both, DC and � -potentials, of redispersed lyophilized samples of (EuL-D) and (EuS-D) remained identical to those of in situ prepared while those of analog samples prepared by solvent evaporation exhibited some slight differences. The behavior of (EuL-D) and (EuS-D) systems examined here through DLS appears to be quite similar to that reported for polyelectrolytes neutralized with monovalent inorganic cations. Last, it has been shown that DLS provides valuable information about the reversibility from solid to dispersion states of these nanometric drug carrier systems.
Vitamin D and the Immune System from the Nephrologist's Viewpoint

Vitamin D and its analogues are widely used as treatments by clinical nephrologists, especially when treating chronic kidney disease (CKD) patients with secondary hyperparathyroidism. As CKD progresses, the ability to compensate for elevations in parathyroid hormone (PTH) and fibroblast growth factor-23 and for decreases in 1,25(OH)2D3 becomes inadequate, which results in hyperphosphatemia, abnormal bone disorders, and extra-skeletal calcification. In addition to its calciotropic effect on the regulation of calcium, phosphate, and parathyroid hormone, vitamin D has many other noncalciotropic effects, including controlling cell differentiation/proliferation and having immunomodulatory effects. There are several immune dysregulations that can be noted when renal function declines. Physicians need to know well both the classical and nonclassical functions of vitamin D. This review is an analysis from the nephrologist's viewpoint and focuses on the relationship between the vitamin D and the immune system, together with vitamin's clinical use to treat kidney diseases.
Evaluating the Performance of Cache-Affinity Scheduling in Shared-Memory Multiprocessors

As a process executes on a processor, it builds up state in that processor? s cache. In multiprogrammed workloads, the opportunity to reuse this state may be lost when a process gets rescheduled, either because intervening processes destroy its cache state or because the process may migrate to another processor. In this paper, we explore affinity scheduling, a technique that helps reduce cache misses by preferentially scheduling a process on a processor where it has run recently. Our study focuses on a bus-based multiprocessor executing a variety of workloads, including mixes of scientific, software development, and database applications. In addition to quantifying the performance benefits of exploiting affinity, our study is distinctive in that it provides low-level data from a hardware performance monitor that details why the workloads perform as they do. Overall, for the workloads studied, we show that affinity scheduling reduces the number of cache misses by 7-36%, resulting in execution time improvements of up to 10%. Although the overall improvements are small, modifying the operating system scheduler to exploit affinity appears worthwhile-affinity has no negative impact on the workloads and we show that it is extremely simple to add to existing schedulers.
More reasons to reexamine the definition of viral blip during antiretroviral therapy.

that can be used to interrogate subterranean virologic events is increasing, seemingly daily. Consequently, the magnitude of transient viremia that can be considered minor or inconsequential (ie, a blip) needs continual reexamination. In the elegant retrospective observational cohort study by Grennan et al, published in this issue of the Journal [3], viral blip was defined as a transient HIV-1 RNA increase to 50‐999 copies/mL after attaining ,50 copies/mL during ART. The investigators achieved their objectives of (1) determining correlates of the transient HIV-1 RNA increases and (2) determining the impact on virologic rebound. Incidentally, their results also strengthen the need to narrow the definition of viral blip in clinical and research domains. A strength of Grennan et al’s study is