Miracle-dz/UniFAR-FTUs huggingface dataset:
Public Health Nutrition: The Accord of Dietitian Providers in Managing Medicare Chronic Care Outpatients in Australia

Medicare Australia: Chronic Disease Management program subsidizes allied health consultations for eligible outpatients with chronic disease or complex needs. In an evaluation study, private practice dietitians (n = 9) were interviewed to explore their patient management strategies including consultation time-allocation and fees. Time allocation was fee-based. Short first consultations were seen as meeting patients’ needs for low-cost services but were regarded by dietitians as ineffective, however longer initial consultations increased cost to patients. No strategy in use was optimal. There is a need for change in Medicare policy to meet the needs of both dietitians and patients in achieving the behaviour change goals of patients.
Nested sampling for higher-order statistics with application to LTE channel estimation

This paper studies higher-order statistics based on nested sampling. We propose multilevel nested sampling (MNS) algorithm to obtain higher-order statistics (HOS), and analyze the computational complexity of the MNS-HOS algorithm for both parametric and nonparametric methods. Compared to the existing HOS algorithms, the proposed algorithm vastly reduces the complexity by several orders in terms of the length of segmentation window. We also apply MNS-HOS algorithm to estimate the coefficients of a simplified LTE spatial channel model blindly without using any training sequences. Our simulations show that compared with pairwise coprime sampling HOS algorithm, MNS-HOS produces less variance and converges faster in estimating higher-order cumulants, and achieves 17% performance gain for channel estimation. The proposed MNS-HOS algorithm is also able to reduce computational complexity by 98% with a tradeoff of 22% performance loss in contrast with the HOS algorithm without sparse sampling.
A block diagonal jacket matrices for MIMO broadcast channels

Block diagonalization (BD) is a linear precoding technique for multiuser multi-input multi-output (MIMO) broadcast channels such that it completely eliminates the multiuser interference. We investigate the problem of multi-cell multi-user co-channel transmission, where in both inter-cell interference and inter-user interference should be well managed. Interference alignment (IA) is theoretically proved to be a promising technology in managing co-channel interference. In this paper, we present an efficient multi-cell coordinated linear beamforming method where IA is combined with MU-MIMO to achieve high performance multi-cell cooperative transmission. We extend to a multiple-cells scenario and jointly design transmit and receiver beamforming vectors. We also apply the block diagonal Jacket matrices decomposition and extend the block diagonal channel decomposition with which the MIMO broadcast channel capacity can be achieved.
Triple antithrombotic management after stent implantation: when and how?

Inhibition of platelet activation is a cornerstone of adjunctive medical treatment during and after percutaneous coronary interventions with stent implantation (PCI-S) in order to prevent acute and long term thrombotic complications. Dual antiplatelet therapy (DAT) with aspirin and clopidogrel has been proven to be very effective at preventing adverse events such as acute and subacute stent thrombosis, myocardial infarction, and death after coronary stenting, for both bare metal stents (BMS) and drug eluting stents (DES). Oral anticoagulation (OAC) is the recommended treatment for patients at risk of thromboembolic events due to atrial fibrillation, mechanical heart valves, deep vein thrombosis, pulmonary embolism and left ventricular thrombi. The number of patients who have an indication for both DAT and OAC is increasing, since more patients who are already on OAC are scheduled for percutaneous coronary interventions and some patients who are on DAT will develop a medical condition which requires OAC. Consequently, these patients need triple antithrombotic therapy, consisting of aspirin, clopidogrel and OAC. There is a concern, however, that this “triple therapy” leads to increased bleeding events and physicians are cautious in prescribing the combination of DAT and OAC. In the first part of this article, we review the studies and present the evidence that have led to the current recommendations for either DAT or OAC in the specific medical conditions. We will evaluate when OAC and DAT might be interchangeable, and whether one or the other of these regimens might be temporarily discontinued. We will focus on patients requiring OAC with a recent stent implantation or who are scheduled for a PCI-S. The second part of this review focuses on the currently available data on triple therapy and will provide guidance on how to manage these patients and how long the duration of treatment should be. Dual antiplatelet therapy with …
An Improved Block-Based Thermal Model in HotSpot 4.0 with Granularity Considerations

This technical report describes our most recent improvements to the HotSpot thermal model. First, in response to a previous paper in WDDD 2006 [1] that cites some accuracy shortcomings, we improve treatment in HotSpot’s “block model” of high aspect-ratio blocks, high power densities, and convection boundary conditions. These improvements are included in the newest release of the HotSpot software, version 4.0. 1 Second, to help guide users’ modeling efforts and choice of modeling resolution, we propose an analytical approach to find the relationship between the power modeling granularity and the associated peak temperature rise at that granularity, i.e. the relationship between the size and peak temperature of a uniform heat source. We theoretically confirm the existence of a strong spatial temperature low-pass filtering effect: a tiny heat source is much cooler than a large heat source with the same power density.
Ochratoxin A and Aflatoxins in Liquorice Products

The occurrence of ochratoxin A (OTA) and aflatoxins (AFs) in liquorice products made in Italy was surveyed. Twenty-eight samples of dried liquorice extract and fifty-four of liquorice confectionery (liquorice content between 2 and 10%) were collected from retail outlets located in northern Italy. After extraction and purification through an immunoaffinity column, OTA and AFs were analysed using both HPLC-FLD and HPLC-MS/MS. OTA occurred in all samples of dried liquorice extract and in 61% of samples of liquorice confectionery, showing very high values for the former (mean 89.6 µg kg-1, maximum value 990.1 µg kg-1), and relatively low levels for the latter (mean 0.96 µg kg-1, maximum value 8.3 µg kg-1). The contribution of dried liquorice extract to OTA intake appears to be non-negligible for children, who are potentially high consumers. AF contamination resulted very low: AFB1 was detected only in 15.8% of samples (maximum value 7.7 µg kg-1, mean 0.38 and 0.41 µg kg-1 for dried liquorice extract and liquorice confectionery, respectively); the other AFs were not detected. To our knowledge, it is the first time that AFB1 has been detected in liquorice extract samples.
Ensuring Reasoning Consistency in Hierarchical Architectures

Agents often dynamically decompose a task into a hierarchy of subtasks. Hierarchical task decomposition reduces the cost of knowledge design in comparison to non-hierarchical knowledge because knowledge is simplified and can be shared across multiple tasks. However, hierarchical decomposition does have limitations. In particular, hierarchical decomposition can lead to inconsistency in agent processing, resulting potentially in irrational behavior. Further, an agent must generate the decomposition hierarchy before reacting to an external stimulus. Thus, decomposition can also reduce agent responsiveness. This thesis describes ways in which the limitations of hierarchical decomposition can be circumvented while maintaining inexpensive knowledge design and efficient agent processing. We introduce Goal-Oriented Heuristic Hierarchical Consistency (GOHHC), which eliminates across-level inconsistency. GOHHC computes logical dependencies in asserted knowledge between goals rather than individual assertions, thus avoiding the computational expense of maintaining dependencies for all assertions. Although this goal-oriented heuristic ensures consistency, it does sometime lead to unnecessary repetition in reasoning and delay in task execution. We show empirically that these drawbacks are inconsequential in execution domains. Thus, GOHHC provides an efficient guarantee of processing consistency in hierarchical architectures. Ensuring consistency also provides an architectural framework for unproblematic knowledge compilation in dynamic domains. Knowledge compilation can be used to cache hierarchical reasoning and thus avoid the delay in reaction necessitated by decomposition. An empirical investigation of compilation in hierarchical agents shows that compilation can lead to improvement in both overall performance and responsiveness, while maintaining the low design cost of hierarchical knowledge.
Designing Views to Optimize Real Queries

This paper considers the following problem: given a query workload, a database, and a set of constraints, design a set of views that give equivalent rewritings of the workload queries and globally minimize the evaluation costs of the workload on the database under the constraints. We refer to this problem as “view design for query performance,” or “view design” for short; sets of views that satisfy the requirements are called “optimal viewsets. ” It has been shown that for the storage-limit constraint and under set semantics, the view-design problem is decidable and has an exponential-time lower bound for conjunctive queries, views, and rewritings. In this paper we explore view design for workloads of conjunctive queries, under a range of assumptions about databases and query computation. We first look at conjunctive views and rewritings under bag and bag-set semantics. We show that under bag semantics, the view-design problem is in NP. Surprisingly, under bag-set semantics we cannot use past work on bag-set query equivalence [8] to determine whether a rewriting of a query in terms of views is equivalent to the query. In addition, the view-design problem under bag-set semantics is characterized by the same complexity and size of the search space of optimal views as its counterpart under set semantics. We then explore special cases and more expressive view and rewriting languages. We show that for workloads of queries without self-joins, the search space of optimal views is dramatically smaller than that for queries with self-joins, under both set and bag-set semantics. Further, we show that the view-design problem, for queries with or without self-joins, is decidable (1) for disjunctive views and rewritings, and (2) for views with semipositive negation and without self-joins.
Ruthenium-based olefin metathesis catalysts derived from alkynes.

Department of Inorganic and Physical Chemistry, Laboratory of Organometallic Chemistry and Catalysis, Ghent University, Krijgslaan 281 (S-3), 9000 Ghent, Belgium, Liaoning Provincial Key Laboratory for Green Synthesis and Preparative Chemistry of Advanced Materials, Liaoning University, Shenyang 110036, People’s Republic of China, and College of Chemistry, Liaoning University, Shenyang 110036, People’s Republic of China
Online Anomaly Detection With Nested Trees

We introduce an online anomaly detection algorithm that processes data in a sequential manner. At each time, the algorithm makes a new observation, produces a decision, and then adaptively updates all its parameters to enhance its performance. The algorithm mainly works in an unsupervised manner since in most real-life applications labeling the data is costly. Even so, whenever there is a feedback, the algorithm uses it for better adaptation. The algorithm has two stages. In the first stage, it constructs a score function similar to a probability density function to model the underlying nominal distribution (if there is one) or to fit to the observed data. In the second state, this score function is used to evaluate the newly observed data to provide the final decision. The decision is given after the well-known thresholding. We construct the score using a highly versatile and completely adaptive nested decision tree. Nested soft decision trees are used to partition the observation space in a hierarchical manner. We adaptively optimize every component of the tree, i.e., decision regions and probabilistic models at each node as well as the overall structure, based on the sequential performance. This extensive in-time adaptation provides strong modeling capabilities; however, it may cause overfitting. To mitigate the overfitting issues, we first use the intermediate nodes of the tree to produce several subtrees, which constitute all the models from coarser to full extend, and then adaptively combine them. By using a real-life dataset, we show that our algorithm significantly outperforms the state of the art.
Acceptance and Commitment Therapy: An Experiential Approach to Behavior Change

Part I: The Problem and the Approach. The Dilemma of Human Suffering. The Philosophical and Theoretical Foundation of ACT. The ACT Model of Psychopathology and Human Suffering. Part II: Clinical Methods. Creative Hopelessness: Challenging the Normal Change Agenda. Control is the Problem, Not the Solution. Building Acceptance by Defusing Language. Discovering Self, Defusing Self. Valuing. Willingness and Commitment: Putting ACT into Action. Part III: Using ACT. The Effective ACT. Therapeutic Relationship. ACT in Context.
Towards physical layer security systems design using game theory approaches

With the huge develop of low consumption wireless devices both for industry and human wellness and comfort, such as Wireless Body Area Network for health active care and Wireless Sensors Networks for industry environments, new challenges are proposed for the both industry and scientific community. Security is one of this matters. Given the specific characteristics of the low consumptions modern devices, particular security mechanisms must be developed. Here we model a Physical Layer Security mechanism with Cooperative Jamming using Game Theory, in order to go deep into the study on how security of wireless low consumption devices can be improved. Main results shows that certainty on how Secrecy Capacity will behave on its lower and upper bounds is improved by the use of the mixed strategies suggested by the Second Order Cone Programming problem.
Requirements management in GitHub with a lean approach

GitHub is an online platform for hosting projects that use the Git revision control system to manage code. Its lightweight issue tracker helps to maintain lists of issues identified during the development process, including bugs, features, or other software artifacts. Although issue tracking software has been practically used in software industry, studies on using it to manage requirements remain insufficient. This paper tackles the issue by presenting a semi-formal guideline for managing requirements in agile software development projects using GitHub. The guideline is evaluated on a theoretical level by analyzing how well it guides to manage requirements and fits in an agile software development setting. It is compared against lean principles. In addition, the guideline is put into use in a case study. The studies indicate that the guideline and GitHub are well-suited for requirements management in an agile
Investigating the psychological typology of social recovery in individuals with first episode psychosis

Background Social disability has long been linked with psychosis. However, at what stage disability occurs, whether it exists for all individuals, and factors predicting outcome are still under debate. Assessing social functioning in first episode psychosis (FEP) presents a methodological challenge as many existing tools were developed for chronic schizophrenia and are confounded with psychotic symptoms. Aims This study explored the prevalence and typology of social disability in FEP. Different trajectories of social recovery were examined as well as predictors of outcome. Method A sample of 878 individuals with FEP were assessed upon entry into Early Intervention for Psychosis (EIP) services and followed up over 12 months. Social disability was assessed using weekly hours engaged in structured activity on the Time Use Survey (TUS). Recovery profiles were examined using two approaches: transition between clinical and non-clinical cut-off scores on the TUS, and Latent Class Growth Analysis. Baseline predictors of outcome were examined using ordinal and multinomial regression. Results At baseline, over 80% of participants scored below the non-clinical cut-off of 45 hours per week in structured activity. Male gender and poor premorbid adjustment in adolescence predicted baseline levels of social disability. Over 50% of participants remained socially disabled following 12 months of EIP service provision. Social recovery over the 12 month study period was predicted by baseline time use, gender, Typology of Social Recovery from FEP J. Hodgekins iii ethnicity, age of onset of psychosis, duration of untreated psychosis, negative symptoms, and premorbid adjustment in adolescence. Conclusion Social disability is prevalent in FEP, although a significant minority do not experience any social disability and make a full social recovery. Where social disability is present upon entry into EIP services it can remain stable over time. Social disability may occur in adolescence, even before the onset of psychotic symptoms. The clinical and theoretical implications of the findings are discussed.
Co-variation of depressive mood and spontaneous physical activity evaluated by ecological momentary assessment in major depressive disorder

The objective evaluation of depressive mood is thought to be useful for the diagnosis and treatment of depressive disorders. Thus, we investigated psychobehavioral correlates, particularly the statistical associations between momentary depressive mood and behavioral dynamics measured objectively, in patients with major depressive disorder (MDD). Patients with MDD (n = 14) wore a watch-type computer device and rated their momentary symptoms using ecological momentary assessment. Spontaneous physical activity in daily life, referred to as locomotor activity, was also continuously measured by an activity monitor built into the device. A multilevel modeling approach was used to model the associations between changes in depressive mood scores and the local statistics of locomotor activity simultaneously measured. The statistical model constructed indicated that worsening of depressive mood was associated with increased intermittency of locomotor activity, as characterized by a lower mean and higher skewness. Our findings suggest the presence of associations between momentary depressive mood and behavioral dynamics in patients with depression, which may lead to the continuous monitoring of the pathological states of MDD.
Electromagnetic modeling of printed antennas on Nematic Liquid Crystal cells

A Nematic Liquid Crystal (N-LC) compound may be injected into a cavity beneath a printed patch antenna to act as a tunable material whose dielectric properties are controlled by an externally applied electric field. The strength and direction of the applied low-frequency field affects the orientation of the LC molecules known as directors. The orientation of the directors determines the dielectric tensor entries of the LC compound which, in general, is anisotropic and lossy. The directors' tilt angle is governed by a Partial Differential Equation (PDE) which is obtained through minimization of the Oseen-Frank free-energy functional and solved using a Finite-Difference (FD) scheme. The profile of the directors' tilt angle underneath the patch follows a flattened sinusoidal shape along the normal-to-the-patch direction. In previous work by the authors, this non-uniform dielectric profile was averaged out, thus treating the LC substrate as a homogeneous but lossy material. In this paper, we are investigating the accuracy of this model as compared to a more realistic representation of the sinusoidal dielectric profile using multiple homogeneous layers. In addition, we are proposing ways to improve the existing design of the tunable LC patch antenna in order to obtain enhanced radiation characteristics such as gain and radiation efficiency.
Evolution of Philodendron (Araceae) species in Neotropical biomes

Philodendron is the second most diverse genus of the Araceae, a tropical monocot family with significant morphological diversity along its wide geographic distribution in the Neotropics. Although evolutionary studies of Philodendron were conducted in recent years, the phylogenetic relationship among its species remains unclear. Additionally, analyses conducted to date suggested the inclusion of all American representatives of a closely-related genus, Homalomena, within the Philodendron clade. A thorough evaluation of the phylogeny and timescale of these lineages is thus necessary to elucidate the tempo and mode of evolution of this large Neotropical genus and to unveil the biogeographic history of Philodendron evolution along the Amazonian and Atlantic rainforests as well as open dry forests of South America. To this end, we have estimated the molecular phylogeny for 68 Philodendron species, which consists of the largest sampling assembled to date aiming the study of the evolutionary affinities. We have also performed ancestral reconstruction of species distribution along biomes. Finally, we contrasted these results with the inferred timescale of Philodendron and Homalomena lineage diversification. Our estimates indicate that American Homalomena is the sister clade to Philodendron. The early diversification of Philodendron took place in the Amazon forest from Early to Middle Miocene, followed by colonization of the Atlantic forest and the savanna-like landscapes, respectively. Based on the age of the last common ancestor of Philodendron, the species of this genus diversified by rapid radiations, leading to its wide extant distribution in the Neotropical region.
Identification of AN 1 , PH 4 and PH 3 target genes through an mRNA profiling approach

Proton gradients are the endocellular forces required to drive the transport of ions and other microand macromolecules across membranes. In petunia, mutations in ANTHOCYANIN 1, (AN1), AN2, and AN11 and in PH1-PH7 affect the pH of the vacuolar lumen. Because AN1, AN2, AN11 and PH2, PH3, PH4 and PH6 encode regulatory proteins, they are likely to control transcription of genes involved in an unknown vacuolar pH-regulating pathway. In an mRNA-profiling assay (micro-array and cDNA-AFLP) we isolated of a set of transcripts, which expression is decreased in an1, ph3 and ph4 mutants. All identified target genes are unaffected in ph2 mutants, suggesting that PH2 operates in a different pHregulating pathway or that PH2 modifies proteins at post-translational level. Transgenic plants in which the expression of two of these target genes was reduced by RNA interference showed blue flowers and increased vacuolar pH in the petal epidermis, demonstrating the role of these genes in acidification of the vacuolar lumen. MAC9F1 shows similarity to proteins with unknown function whereas MACF55 encodes a proton pump. As none of the already described regulators of vacuolar pH (vacuolar-ATPases, pyrophosphatases and enzymes for synthesis of organic acids) are present in this collection of target genes, it is possible that a novel acidification pathway involving not yet described structural genes is responsible for pH regulation of the lumen of anthocyanin accumulating vacuoles in flower petals.