Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Patient Centered Medical Home Practice Transformation Initiatives

Background:The patient-centered medical home (PCMH) has become a widely cited solution to the deficiencies in primary care delivery in the United States. To achieve the magnitude of change being called for in primary care, quality improvement interventions must focus on whole-system redesign, and not just isolated parts of medical practices. Methods:Investigators participating in 9 different evaluations of Patient Centered Medical Home implementation shared experiences, methodological strategies, and evaluation challenges for evaluating primary care practice redesign. Results:A year-long iterative process of sharing and reflecting on experiences produced consensus on 7 recommendations for future PCMH evaluations: (1) look critically at models being implemented and identify aspects requiring modification; (2) include embedded qualitative and quantitative data collection to detail the implementation process; (3) capture details concerning how different PCMH components interact with one another over time; (4) understand and describe how and why physician and staff roles do, or do not evolve; (5) identify the effectiveness of individual PCMH components and how they are used; (6) capture how primary care practices interface with other entities such as specialists, hospitals, and referral services; and (7) measure resources required for initiating and sustaining innovations. Conclusions:Broad-based longitudinal, mixed-methods designs that provide for shared learning among practice participants, program implementers, and evaluators are necessary to evaluate the novelty and promise of the PCMH model. All PCMH evaluations should as comprehensive as possible, and at a minimum should include a combination of brief observations and targeted qualitative interviews along with quantitative measures.
Control and Legitimation in Government Accountability Processes: The Private Finance Initiative in the UK

Abstract This paper explores a number of dimensions of the accountability processes of governments. Accountability is associated with giving reasons for conduct for responsibilities or authority granted. A key argument of this paper is that governments make themselves accountable but only in a political, rather than managerial sense, resulting in, paradoxically, increasing, rather than decreasing forms of control over society. Due to their unique position in society, where their very existence is dependent upon them exercising control over other parts of society, anything they do has a controlling outcome. Coupling this with a lack of day by day control by the voting public, who have power to elect these bodies in western democracies but not a power to dictate practical action, leaves governments in a uniquely powerful position. Partly to avoid the searching questions from the public, resulting in more detailed forms of political accountability, and, following the logic of the paper, increasing control, governments have seen it appropriate to set up separate internal bodies (such as the auditor generals and the national audit offices) to demonstrate that they are subject to investigation. However, a further key argument of the paper is that, rather than providing an independent voice, auditor generals and the national audit offices provide legitimation to the original actions rather than a curtailment of these processes. The paper builds this complex argument conceptually and empirically. At a conceptual level it draws from a number of different literature bases to provide a “middle range" (Laughlin, 1995) theoretical schema. This is then amplified and developed through an empirical case in connection with the UK’s private finance initiative.
OAHO: an Effective Algorithm for Multi-Class Learning from Imbalanced Data

This paper presents our research in multi-class pattern learning from imbalanced data. In many real world applications, the data among different pattern classes are imbalanced; some classes may have far more training data than the others. Typically a neural network classifier has troubles to learn from the imbalanced data distribution among different pattern classes. In this paper we propose a new pattern classification algorithm, One-Against-Higher-Order (OAHO), that effectively learn multi-class patterns from the imbalanced data, and a theoretical analysis of data imbalance problem related to other popular multi-class pattern classification approaches. We have conducted experiments on the two highly imbalanced data sets posted at the UCI site, and the results show that the neural network system trained with the proposed OAHO algorithm gives better performances on minority pattern classes over the neural network systems trained with the two other popular multi-class classification methods: OAO and OAA.
Estimating the Parameters of the Arrhenius Equation through Genetic Algorithm Technique using Maleic Anhydride Synthesis as Study Case

The paper present a robust procedure to estimate th e parameters set of the kinetic model, as the activation energy ( Ei) and the pre-exponential factor ( Ai), used in the calculation of the constant of Arrhenius ( ki) for the partial oxidation of benzene to maleic anhydride. This estimate is carried through Genetic Algorithms ( GAs) with the purpose to minimize an objective function, that con siders the error between real values operation supplied by literature, industrial units or laboratory scale reactors and the simulated theoretical values from the used mo el, so that a reliable adjusted kinetic model can be determined to be used in the r eactor model to design and operational strategies development.
A Bidirectional LSTM Model for Question Title and Body Analysis in Question Answering

Community Question Answering(CQA) services become popular recently. In most existing CQA service, the question posted by real user is usually consist by two parts: question title and body. And there is a semantic relation between them. It is necessary to analyze the relation between title and body. In this paper, we propose a deep neural network based method to analyze and quantify the relation between question title and body. The proposed method employs Bidirectional LSTM to read the title and body separately. And finally our model outputs a relevance score to measure the semantic relation between the question title and body. We evaluate our model on the Yahoo! Answers dataset and the experimental results show our method is effective.
ON BOUNDARY PROPERTIES OF SOLUTIONS OF COMPLEX VECTOR FIELDS S. Berhanu and J.Hounie

This work presents results on the boundary properties of solutions of a complex, planar, smooth vector field L. Classical results in the H theory of holomorphic functions of one variable are extended to the solutions of a class of nonelliptic complex vector fields. Introduction Suppose h(z) is a holomorphic function of one variable defined on some rectangle Q = (−a, a)× (0, b) with a weak boundary value at y = 0. It is well known that if the boundary value bh ∈ Lp(−a, a) for some 1 ≤ p ≤ ∞ then (1) for any 0 < c < a, the norms of the traces h(., y) in Lp[−c, c] are uniformly bounded as y 7→ 0: ∫ c −c |h(x+ iy)| dx ≤ C, y ց 0; (2) h(x+ iy) converges pointwise and nontangentially to bh(x) for almost every x ∈ (−a, a); (3) h(x+ iy) vanishes identically if bh vanishes on a set of positive measure; (4) conversely, if (1) holds, bh ∈ Lp(−c, c) for any 0 < c < a. These are just the local versions of very classical properties for holomorphic functions on the unit disc ∆. Fatou proved in 1906 [F] that any bounded holomorphic function f on ∆ has an a.e. nontangential limit that cannot vanish identically on an arc of ∂∆ unless f is identically zero and that the Poisson integral of a finite measure has a.e. nontangential limit. Then Hardy [Ha] initiated the theory of the spaces H(∆) in 1915, proving that the logarithm of the Lp[−π, π] norm of θ 7→ f(re) is a convex function of ln r, 0 < r < 1. The weak compactness of the unit ball of L implies easily the validity of (4) for p > 1 but for p = 1 —where this argument only yields that bf is a measure— it is a consequence of the famous F. and M. Riesz theorem presented in [RR] in 1916 where it is also shown that 1991 Mathematics Subject Classification. Primary 35F15, 35B30, 42B30; Secondary 42A38, 30E25.
Characteristics of Ambient Black Carbon Mass and Size-Resolved Particle Number Concentrations during Corn Straw Open-Field Burning Episode Observations at a Rural Site in Southern Taiwan

Information on the effect of open-field burning of agricultural residues on ambient black carbon (BC) mass and size-resolved particle number concentrations is scarce. In this study, to understand the effect of such open-field burning on short-term air quality, real-time variations of the BC mass and size-resolved particle number concentrations were monitored before and during a corn straw open-field burning episode at a rural site. Correlations between the BC mass and size-resolved particle number concentrations during the episode were investigated. Moreover, the particle number size distribution and absorption Ångström exponent were determined for obtaining the characteristics of aerosol emissions from the corn straw open-field burning. The results can be used to address public health concerns and as a reference for managing similar episodes of open-field burning of agricultural residues.
The retailer's ordering strategy under buy-back rate risk fluctuating

Based on the analysis of classical buy-back contract's price, quantity and the maximum buy-back rates, this paper further discusses the retailers' order strategies when the supplier are able to promise the maximum buy-back rates during the risk fluctuations. In this paper, a mathematical model is established to maximize the profit when buy-back rates risk fluctuates. The paper also discusses different profits variations of retailers and of the entire supply chains whether or not considering the risk fluctuations under three different situations. After knowing the parameters of the risk fluctuations, the best order strategies of retailers will make significant sense. The fluctuations of the risk of buy-back rates would bring down the expected profits of the members of the supply chain, as well as the overall profits of the supply chain. If the retailer does not adjust his order strategies when the risks fluctuate, the expected profits of the entire supply chain will remain the same as the classic buy-back case, while parts of the profits of the retailer will be shifted to the supplier, causing the retailer's profit losses.
Quadratic Approximations for the Isochrons of Oscillators: A General Theory, Advanced Numerical Methods, and Accurate Phase Computations

The notion of isochrons for oscillators, introduced by Winfree and thereon heavily utilized in mathematical biology, were instrumental in introducing a notion of generalized phase and form the basis for oscillator perturbation analyses. Computing isochrons is a hard problem, existing brute-force methods incurring exponential complexity. In this paper, we present a precise and carefully developed theory and numerical techniques for computing local but quadratic approximations for isochrons. Previous work offers the techniques needed for computing only local linear approximations. Our treatment is general and applicable to oscillators with large dimension. We present examples for isochron computations, verify our results against exact calculations in a simple analytically calculable case, test our methods on complex oscillators, and show how quadratic approximations of isochrons can be used in formulating accurate, novel phase computation schemes and finally allude to second-order accurate compact phase macromodels. Oscillator studies seem to have progressed independently in electronics and biology. Even though analyses in electronics did not make use of the notion of isochrons, similar models and methods, expressed in totally different terminologies, have been developed in both disciplines. In this paper, we also reveal the connection between oscillator analysis work in these two seemingly disparate disciplines.
Design and implementation of indoor positioning system based on iBeacon

With the rapid increase in data and multimedia services, demand for positioning has increased especially in complex indoor environment which often needs to determine the location information of the mobile terminal. There is a lack of accuracy and robustness in current indoor positioning system. This paper designs and implements an indoor positioning system based on iBeacon. We adopt Gaussian filter and Unscented Kalman filter method to robustly extract strong signals from iBeacon device. With the extracted signals, we compared them with-in database. The goal of this paper is to design and implement a mobile-based indoor location system which has the mobile applications with the Bluetooth Low Energy technology based on the iBeacon. Using a mobile terminal our system can show position results. Moreover, our system can run on both Android systems and IOS ones. Our method has better performance compared with WiFi method. The experimental results demonstrates that the error is only within 4 meters and our system can achieve accurate and robust positioning.
Relation of Hypoxia-inducible Factor-2α (HIF-2α) Expression in Tumor-infiltrative Macrophages to Tumor Angiogenesis and the Oxidative Thymidine Phosphorylase Pathway in Human Breast Cancer

Tumor-associated macrophages (TAMs) produce angiogenic factors and in breast cancer are associated with high vascular grade and poor survival. TAMs preferentially migrate to hypoxic areas within tumors and strongly express hypoxia-inducible factor (HIF)-2α. This study examined whether HIF-2α was involved in TAM angiogenic activation by correlating its expression with tumor microvessel density as a marker of angiogenesis, and other tumor variables, in a series of human primary invasive breast carcinomas. A correlation was found between high TAM HIF-2α and high tumor vascularity (P
Learning taxonomical relations from domain texts using WordNet and word sense disambiguation

Learning taxonomical relations from domain texts is an important task for ontology learning from texts. We observe that rich information on taxonomical relations is available in the lexical knowledge base WordNet. However, in order to exploit the taxonomical relations in WordNet we need to tackle the difficult problem of word sense disambiguation. In this paper, we present a weighted word sense disambiguation method and show its application for learning taxonomical relations from domain texts. The experimental results indicate that using Word Net and our word sense disambiguation method achieves good accuracy and coverage for the learning task.
Solving unstructed classification problems with multicriteria decision aiding

[6] A. Valls Mateu, CLUSDM: a multiple criteria decision making method for heterogeneous data sets, Polytechnic University of Catalonia. 2002. [8] B. Roy. Critères multiples et mod´elisation des pr´ef´erences : l'apport des relations de surclassement. Revue d'Economie Politique, 1974. [10] R. Bisdorff. Electre-like clustering from a pairwise fuzzy proximity index. methods for sorting and clustering problems: Promethee tri and promethee cluster.
Nicotinic binding in rat brain: autoradiographic comparison of [3H]acetylcholine, [3H]nicotine, and [125I]-alpha-bungarotoxin

Three radioligands have been commonly used to label putative nicotinic cholinoceptors in the mammalian central nervous system: the agonists [3H]nicotine and [3H]acetylcholine ([3H]ACh--in the presence of atropine to block muscarinic receptors), and the snake venom extract, [125I]-alpha-bungarotoxin([125I]BTX), which acts as a nicotinic antagonist at the neuromuscular junction. Binding studies employing brain homogenates indicate that the regional distributions of both [3H]nicotine and [3H]ACh differ from that of [125I]BTX. The possible relationship between brain sites bound by [3H]nicotine and [3H]ACh has not been examined directly. We have used the technique of autoradiography to produce detailed maps of [3H]nicotine, [3H]ACh, and [125I]BTX labeling; near-adjacent tissue sections were compared at many levels of the rat brain. The maps of high affinity agonist labeling are strikingly concordant, with highest densities in the interpeduncular nucleus, most thalamic nuclei, superior colliculus, medial habenula, presubiculum, cerebral cortex (layers I and III/IV), and the substantia nigra pars compacta/ventral tegmental area. The pattern of [125I]BTX binding is strikingly different, the only notable overlap with agonist binding being the cerebral cortex (layer I) and superior colliculus. [125I]BTX binding is also dense in the inferior colliculus, cerebral cortex (layer VI), hypothalamus, and hippocampus, but is virtually absent in thalamus. Various lines of evidence suggest that the high affinity agonist-binding sites in brain correspond to nicotinic cholinergic receptors similar to those found at autonomic ganglia; BTX- binding sites may also serve as receptors for nicotine and are possibly related to neuromuscular nicotinic cholinoceptors.
The garnet user interface development environment

The Garnet User Interface Development Environment contains a comprehensive set of tools that make it significantly easier to design and implement highly-interactive, graphical, direct manipulation user interfaces. The toolkit layer of Garnet provides a proto~-instance object system, automatic constraint maintenance, an efficient retained-object graphics output model, a novel input model, two complete widget sets, and complete debugging tools. Gar-nel also contains a set of interactive user interface editors that aim to make it possible to create the user interface without programming. Instead, the user draws examples of the desired graphicsanddenmmfrafestheir behaviors. The demonstrationwill showthe variouspartsof Garnet.
Characterization of the Drosophila Group Ortholog to the Amino-Terminus of the Alpha-Thalassemia and Mental Retardation X-Linked (ATRX) Vertebrate Protein

The human ATRX gene encodes hATRX, a chromatin-remodeling protein harboring an helicase/ATPase and ADD domains. The ADD domain has two zinc fingers that bind to histone tails and mediate hATRX binding to chromatin. dAtrx, the putative ATRX homolog in Drosophila melanogaster, has a conserved helicase/ATPase domain but lacks the ADD domain. A bioinformatic search of the Drosophila genome using the human ADD sequence allowed us to identify the CG8290 annotated gene, which encodes three ADD harboring- isoforms generated by alternative splicing. This Drosophila ADD domain is highly similar in structure and in the amino acids which mediate the histone tail contacts to the ADD domain of hATRX as shown by 3D modeling. Very recently the CG8290 annotated gene has been named dadd1. We show through pull-down and CoIP assays that the products of the dadd1 gene interact physically with dAtrxL and HP1a and all of them mainly co-localize in the chromocenter, although euchromatic localization can also be observed through the chromosome arms. We confirm through ChIP analyses that these proteins are present in vivo in the same heterochromatic regions. The three isoforms are expressed throughout development. Flies carrying transheterozygous combinations of the dadd1 and atrx alleles are semi-viable and have different phenotypes including the appearance of melanotic masses. Interestingly, the dAdd1-b and c isoforms have extra domains, such as MADF, which suggest newly acquired functions of these proteins. These results strongly support that, in Drosophila, the atrx gene diverged and that the dadd1-encoded proteins participate with dAtrx in some cellular functions such as heterochromatin maintenance.
Multi-objective Optimization on Supply Chain Based on Stochastic Flow Network

We describe a kind of supply chain optimization problem as a commodity stream routing problem upon a stochastic flow network. We divide the optimization problem to two parts: Firstly, establish model to calculate the optimal commodity stream allocation policy on all minimal paths; secondly, convert these allocation policy on all minimal paths to the optimal routing policy on all arcs. A multi-objective genetic algorithm based stochastic simulation is proposed to solve the established model. We analyze the computational complexity of proposed algorithm and test it by examples in various sizes.
Adolescent insecure attachment as a predictor of maladaptive coping and externalizing behaviors in emerging adulthood

This study investigated whether insecure adolescent attachment organization (i.e., preoccupied and dismissing) longitudinally predicted self- and peer-reported externalizing behavior in emerging adulthood. Secondarily, maladaptive coping strategies were examined for their potential role in mediating the relationship between insecure attachment and future externalizing behaviors. Target participants (N = 184) were given the Adult Attachment Interview (AAI) at age 14 and re-interviewed seven and eight years later with their closest peer. Qualities of both preoccupied and dismissing attachment organization predicted self-reported externalizing behaviors in emerging adulthood eight years later, but only preoccupation was predictive of close-peer reports of emerging adult externalizing behavior. Maladaptive coping strategies only mediated the relationship between a dismissing stance toward attachment and future self-reported externalizing behaviors. Understanding the role of coping and emotional regulation in attachment may help us to understand the unique aspects of both dismissing and preoccupied stances toward attachment.
Analyzing the open source communities' lifecycle with communication data

In this paper, we describe ongoing research on the lifecycle of Open Source communities. Our objective is to identify the quantitative characteristics of Open Source communities, which can allow determining their health and life expectation based on communication data from both developer and user mailing lists. We describe our hypotheses on the relation between metrics extracted from communication data and lifecycle stages. After having collected communication data from the Gmane.org server between 1998 and 2013 for 235 projects, we compare the various projects regarding in particular activity and collaboration. We thus propose to identify the healthiness phase of communities.
COHORT PROFILE Cohort Profile : Hlabisa HIV Treatment and Care Programme

LBPED05. 2009. http://www.ias2009. org/ abstract.aspx? elementId=200722760 (12 January 2010,aspx? elementId=200722760 (12 January 2010, date last accessed). RURAL ART COHORT, SOUTH AFRICA 9
Effective Selection of Translation Model Training Data

Data selection has been demonstrated to be an effective approach to addressing the lack of high-quality bitext for statistical machine translation in the domain of interest. Most current data selection methods solely use language models trained on a small scale in-domain data to select domain-relevant sentence pairs from general-domain parallel corpus. By contrast, we argue that the relevance between a sentence pair and target domain can be better evaluated by the combination of language model and translation model. In this paper, we study and experiment with novel methods that apply translation models into domain-relevant data selection. The results show that our methods outperform previous methods. When the selected sentence pairs are evaluated on an end-to-end MT task, our methods can increase the translation performance by 3 BLEU points. *