Miracle-dz/UniFAR-FTUs huggingface dataset:
Supporting Policy In health with Research: an Intervention Trial (SPIRIT)—protocol for a stepped wedge trial

Introduction Governments in different countries have committed to better use of evidence from research in policy. Although many programmes are directed at assisting agencies to better use research, there have been few tests of the effectiveness of such programmes. This paper describes the protocol for SPIRIT (Supporting Policy In health with Research: an Intervention Trial), a trial designed to test the effectiveness of a multifaceted programme to build organisational capacity for the use of research evidence in policy and programme development. The primary aim is to determine whether SPIRIT results in an increase in the extent to which research and research expertise is sought, appraised, generated and used in the development of specific policy products produced by health policy agencies. Methods and analysis A stepped wedge cluster randomised trial involving six health policy agencies located in Sydney, Australia. Policy agencies are the unit of randomisation and intervention. Agencies were randomly allocated to one of three start dates (steps) to receive the 1-year intervention programme, underpinned by an action framework. The SPIRIT intervention is tailored to suit the interests and needs of each agency and includes audit, feedback and goal setting; a leadership programme; staff training; the opportunity to test systems to assist in the use of research in policies; and exchange with researchers. Outcome measures will be collected at each agency every 6 months for 30 months (starting at the beginning of step 1). Ethics and dissemination Ethics approval was granted by the University of Western Sydney Human Research and Ethics Committee HREC Approval H8855. The findings of this study will be disseminated broadly through peer-reviewed publications and presentations at conferences and used to inform future strategies.
Molecular Typing of Environmental and Patient Isolates of Aspergillus fumigatus from Various Hospital Settings

ABSTRACT Fingerprinting of more than 700 clinical and environmental isolates of Aspergillus fumigatus from four differential hospital settings was undertaken with a dispersed repeated DNA sequence. The analysis of the environmental isolates showed that the airborneA. fumigatus population is extremely diverse, with 85% of the strains being represented as a single genotype isolated once. The remaining 15% of the strains were isolated several times and were able to persist for several months in the same hospital environment. No strains were found to be associated with a specific location inside the hospital, and identical strains were isolated from different buildings of the hospital and outdoors. Isolation of the same strain both from patients and from the environment of the same hospital is highly suggestive of a nosocomial infection. The characteristics of the environmental fungal population explains the two main results obtained from the typing of the clinical isolates: (i) the absence of a common strain responsible for an invasive aspergillosis outbreak results from the extreme diversity of the environmental population of A. fumigatus in contact with the patients, and (ii) patients hospitalized in different wards of the same hospital can be infected with the same strain since every patient might inhale the same spore population.
'Is it normal to feel these questions ...?': a content analysis of the health concerns of adolescent girls writing to a magazine.

BACKGROUND There is a mismatch between presenting concerns of adolescents to GPs and behaviours that lead to adolescent morbidity and mortality. Better understanding of health concerns of this target group would enhance communication between health professionals and adolescent patients. OBJECTIVE To explore and categorize the health concerns of adolescent girls sending unsolicited emails to a teenage girls' magazine. METHOD We conducted a content analysis of 1000 systematic randomly selected unsolicited emails submitted to the health column of an Australian adolescent girls' magazine over a 6-month period. RESULTS Three main foci of concern were identified: Context of Concern, Health Issue of Concern and Advice Sought for Concern. Within Health Issue of Concern, there were five categories: body (47.5%), sex (31.9%), relationship (14.7%), mind (4.7%) and violence and/or safety (1.2%). Concerns within the body and sex categories ranged enormously, but frequently expressed intimate descriptions of anatomy, feelings, sexual practices and relationships. Many concerns occurred in the context of adolescents' relationships with others. The proportion of concerns about physical or psychological symptoms or health issues commonly associated with the adolescent age group (such as health risk behaviours, mental health, pregnancy and sexually transmitted infections) was relatively small. CONCLUSIONS GPs and other health professionals might engage more readily with adolescent patients with a deeper understanding of the concerns that adolescents have about their bodies, relationships and overall health. Seemingly 'trivial' issues, such as normal puberty, could be used as discussion triggers in health consultations to help alleviate anxiety and build rapport.
Synthesis of envelope polypeptides by Haemophilus influenzae during development of competence for genetic transformation

Six polypeptides with apparent molecular weights of 95,000, 90,000, 80,000, 67,000, 64,000, and 43,000 were found to be characteristic of the cell envelopes of competent Haemophilus influenzae, and were synthesized entirely during the period of competence development. Two polypeptides with apparent molecular weights of 58,500 and 40,500 were synthesized during growth as well as during competence development, but were only associated with the envelope fraction of cells that had developed competence. The kinetics of synthesis of the competence-related envelope polypeptides showed a lag period of approximately 20 min. The observation of this lag period raises the question as to whether some of these competence-related polypeptides might be involved in the process of deoxyribonucleic acid uptake, since the development of this property also exhibits a sigmoid time course during competence development.
Design technique for PMSM with hybrid type permanent magnet

This paper proposes a design technique of permanent magnet synchronous motor (PMSM) using hybrid type permanent magnet (PM) to consider simple structure and irreversible demagnetization. Here, the hybrid type PM is defined as using both of neodymium permanent magnet (Nd-PM) and ferrite permanent magnet (Fe-PM) in a rotor. For developing a competitive motor in terms of performance per manufacturing cost, firstly, the hybrid type PMSM is suggested by designing simple configuration considering magnetic property of Nd-PM and Fe-PM. Secondly, in this study, irreversible demagnetization of Fe-PM occurring by reversed magnetic field of Nd-PM is analyzed, when a rotor exists with and without a stator, and based on this analysis, a technique for avoiding the irreversible demagnetization phenomenon is proposed in order to improve reliability of hybrid type PMSM. Finally, the prototype based on proposed design is developed for evaluating the performance and demagnetization phenomenon through experiment.
Potentiometric gas sensing electrodes

A number of potentiometric gas sensing electrodes using a hydrogen or other ionsensing electrode and a gas permeable membrane have been studied. A theoreticalmodel has been developed describing the time response, electrical potentialbehaviour and limit of detection as a function of membrane properties, geometry,and internal electrolyte composition. Electrodes responding to carbondioxide, ammonia, amines, sulphur dioxide, nitrogen dioxide, hydrogensulphide, hydrogen cyanide, hydrogen fluoride, acetic acid, and chlorine havebeen constructed and their response characteristics are found to be in goodagreement with the theoretical predictions.
Heliospheric Energetic Particle Reservoirs: Ulysses and ACE 175-315 keV Electron Observations

Heliospheric energetic particle reservoirs are usually observed in the decay phase of large solar energetic particle (SEP) events when particle intensities measured by widely separated spacecraft (in longitude, latitude and radial distance) present comparable intensities (within a factor of 2–3) that evolve similarly in time. We use near‐relativistic electron observations from both the ACE and Ulysses spacecraft throughout solar cycle 23 to determine when and where these reservoirs were observed by these two spacecraft. Particle reservoirs were more prominently observed during the intense active periods of November 2000 and November 2001 when Ulysses was at high (>70 deg) latitudes and at heliocentric radial distances 2.15<r<2.45 AU. However, significant cases were also observed at low latitudes, larger distances and during relatively less intense periods.
THE ENVISAT RADAR ALTIMETER SYSTEM (RA-2)

The mission RA-2 has an essential role to play in the Envisat mission, as indicated in Table 1. Operating over oceans, its data can be used to monitor seasurface topography, thereby supporting research into ocean circulation and sea-level change, as well as providing observations of the sea floor structure or shape, and marine geoid characteristics. It will also be possible to determine near-sea-surface wind speeds and significant wave heights, data that are important for both weather and sea-state forecasting. RA-2 will also be able to map and monitor sea ice and polar ice sheets, allowing the energy/mass balances of the world’s major ice sheets, including the Antarctic, to be better determined.
Semiautomatic video object generation using multivalued watershed and partition lattice operators

We conceive the problem of multiple semantic wide object (SVO) extraction as an issue of designing extensive operators on the lattice of partitions. As a result, we propose a framework based on spatial partition generation and application of optimal operators on the generated partitions. The first stage is obtained with a multivalued morphological spatial segmentation method that incorporates an edge-driven marker extraction algorithm and a growing method which integrates both color and edge information. For the second stage, we propose a new spatio-temporal regional maximum likelihood partition operator for extraction purposes. Subjective and objective evaluation of the experimental results obtained with our approach on several MPEG-4 test video sequences show that it accurately tracks multiple SVOs in several scenarios, while improving the SVO extraction precision compared to traditional watershed techniques.
Improving QoE prediction in mobile video through machine learning

Despite the massive adoption of HTTP adaptive streaming technology, buffering is still the most harmful event for QoE in video streaming. Previous studies have shown that buffering is not only detrimental for the overall user experience, but is also highly correlated to viewer engagement. The occurrence of buffering is particularly critical in cellular networks and mobile video deployments, as network conditions are less stable and network resources more limited. In this context, monitoring and properly predicting the QoE of video streaming services becomes paramount to cellular network operators, who need to offer high quality levels to reduce the risks of customers churning for quality dissatisfaction. In this paper, we present a novel approach to multi-dimensional QoE prediction in mobile video using machine learning models. Contrary to previous models for QoE prediction in video streaming, which are generally uni- or low-dimensional and model the impact of single video descriptors independently, we use a high-dimensional input space to model the impact of buffering and initial delay on QoE. We train and test the proposed models on a publicly available mobile video dataset, generated from subjective QoE tests with real viewers. Besides improving prediction performance, the proposed models show that there is a clear influence of other buffering pattern descriptors generally neglected in previous models — in particular those linked to the occurrence of the last stalling event, shedding light on new KPIs to monitor for better QoE assessment in video streaming.
A study of library migrations in Java

Software intensively depends on external libraries whose relevance may change during its life cycle. As a consequence, software developers must periodically reconsider the libraries they depend on, and must think about replacing them for more relevant ones. We refer to this practice as library migration. To find the best replacement for their library, they can rely on information over the Web, but they get quickly overwhelmed by the amount of data they gather. Making the right choice in this context constitutes the topic of our work. The solution we propose is to exhibit and mine the library migrations trends computed by performing a study of a large set of software projects. To perform this analysis, we have defined an automatic approach to compute library dependencies and a semi‐automatic approach that identifies library migrations. Then, we propose a deep analysis of the library migration phenomena by performing a descriptive study of a large set of software projects stored on the Githubplatform. Second, based on our descriptive study, we propose a support to developers who want to migrate their libraries. The main result of our study is that recommendations of libraries can be inferred from the analysis of the migration trends. Copyright © 2014 John Wiley & Sons, Ltd.
An FPGA implementation of a threat-based strategy for Connect6

In this paper, we present a strategy and an FPGA implementation of a Connect6 player submitted to the FPT 2011 Design Competition. Connect6 is a two-player strategy board game. The winner of the game is the player who first gets six pieces of his color in a connected horizontal, vertical or diagonal line. We assign a strategic value to each potential move depending on the current board configuration. Our approach uses a minimal amount of situation dependent game logic in order to take full advantage of the available compute resources and parallelism. The FPGA implementation of this strategy always wins against the software opponent provided for the competition. Additionally, our implementation wins on average against different software AIs from [1], as long as no sophisticated game-tree search is performed by the software.
A contribution to the taxonomy of Zoegea (Asteraceae, Cardueae–Centaureinae)

A worldwide taxonomic revision and the relevant lectotypifications of Zoegea L. (Asteraceae) are presented. The recognized taxa, the relevant synonyms, type details, images of the type specimen, examined specimen lists, and a taxonomic key are provided for this genus. The geographic distribution of all recognized taxa is presented and tabulated. Zoegea leptaurea L. subsp. leptaurea for the floras of Iran and Saudi Arabia and also Z. purpurea Fresen. for the flora of Iraq are reported as new here.
Developing a Finite Element Head Model for Impact Simulation in Abaqus

A computational model of the human head has been developed by Simpleware and the U.S. Naval Research Laboratory (NRL) to simulate head impact. The head model was generated using high-resolution scan data, segmentation and image-based meshing techniques, and has been used in Abaqus for a range of simulations. The NRL/Simpleware head model addresses several key limitations of existing techniques for head impact modelling, most notably mesh adaptability for different applications. This paper will focus on the development of the modeling techniques used to create the NRL/Simpleware head model, and its use in Abaqus/Explicit to demonstrate accuracy and feasibility against a widely used experimental benchmark in impact loading and through investigation of potential brain injury under blast overpressure loading.
Synthesis of bulk superconducting La2CuO4 in an electrochemical cell.

Cette supraconductivite est observee dans une cellule electrochimique a temperature ambiante. Apres le processus, la resistivite a temperature ambiante est abaissee de plus d'un ordre de grandeur et, au refroidissement sous 150 K, acquiert une dependance metallique vis-a-vis de la temperature. La transition supraconductrice a lieu vers 45 K
A Planar Dual-Band Filter Based on Reduced-Length Parallel Coupled Lines

A planar dual-band filter is demonstrated that is based on reduced-length parallel coupled lines. By reactively loading a reduced-length coupled line, a dual-band performance is obtained. The dual-band filter is developed by cascading these dual-band coupled lines. A complete set of design equations is provided that can be applicable to an arbitrary number of filter stages. Experimental results for a Chebyshev-type dual-band filter with center frequencies at 2.4 and 5.2 GHz are in excellent agreement with the full-wave simulated results.
A landscape approach to the surface archaeology of the Bos River, Tankwa Karoo, Northern Cape

xi Chapter 1: Introduction 1 Chapter 2: The Stone Ages in South Africa 7 2.1 The Stone Ages and relevant iconic artefacts.8 2.2 The Earlier Stone Age (ESA) . 10 2.2.1 The Oldowan.10 2.2.2 The Acheulean.11 2.2.3 The Fauresmith.13 2.3 The Middle Stone Age (MSA). 15 2.3. 1 Late ESA/early MSA.16 2.3. 2 The Still Bay (SB) . 18 2.3. 3 The Howiesons Poort (HP). 20
Power Interactions in Enterprise System Assimilation

The assimilation of enterprise systems has extensive influence on power interactions within organizations. Previous assimilation research has typically focused on organizational-level assimilation processes, and the impact of individual characteristics, including personal power, has been overlooked. Social network analysis provides a useful way to empirically examine the changes to personal power during the acceptance, routinization, and infusion stages of the organizational assimilation processes. Enterprise system assimilation involves the empowerment of a firm’s employees to utilize the technical capabilities of the system, and the employees’ extensive business knowledge, to make effective strategic decisions. Nevertheless, power is multidimensional and the relative prominences of the idiosyncratic bases of power in organizational interactions vary asymmetrically in response to system assimilation. A longitudinal examination of the stages of assimilation using a valued network approach to study the power interactions of individuals within an organization can provide a valuable new perspective inside the assimilation process.
A Causality Computation Retrieval Method with Context Dependent Dynamics and Causal-Route Search Functions

In this paper, we present causality computation methods and its application of a semantic associative search. We propose two essential methods for causality search, which are a causality computation method with context dependent dynamics and a causality route search method. The causality computation method with context dependent dynamics makes it possible to retrieve documents describing causal events in the context that specifies each situation of occurrent events. The causality route search method realizes to search respectively set of documents related to each generation of causal events from query events. We define three types of vector for each event data, that is, cause vector, effect vector and cause-effect vector that are characterized respectively with cause, effect and “cause and effect” event data. Applying a set of these vectors, our search method makes it possible to retrieve respectively “the document data describing cause events” and “the document data describing effect events” according to the context specified. Also, for realizing a causality route search, we construct query that represent sequential generations of causal events from a query event. Using the query constructed, we can retrieve documents about each generation of causal events. We have implemented a search system for an aerospace engineering field and clarified the effectiveness and the feasibility of our search method by several experiments.
Fast asymmetric Internet over wireless satellite-terrestrial networks

We describe our work on the design and implementation of high performance Internet services over networks consisting of interconnected direct broadcast (satellite) hosts and terrestrial wireless LANs with various capabilities. The network uses receive only satellite links for downstream data delivery and wireless and wireline terrestrial links for the upstream path. A key concept in our work is that of a hybrid terminal, which is a PC connected to a DBS antenna and to the local wireless LAN. The hybrid terminal uses a modem connection for outgoing traffic while receiving incoming information through the VSAT.
Human-Centered Reinforcement Learning: A Survey

Human-centered reinforcement learning (RL), in which an agent learns how to perform a task from evaluative feedback delivered by a human observer, has become more and more popular in recent years. The advantage of being able to learn from human feedback for a RL agent has led to increasing applicability to real-life problems. This paper describes the state-of-the-art human-centered RL algorithms and aims to become a starting point for researchers who are initiating their endeavors in human-centered RL. Moreover, the objective of this paper is to present a comprehensive survey of the recent breakthroughs in this field and provide references to the most interesting and successful works. After starting with an introduction of the concepts of RL from environmental reward, this paper discusses the origins of human-centered RL and its difference from traditional RL. Then we describe different interpretations of human evaluative feedback, which have produced many human-centered RL algorithms in the past decade. In addition, we describe research on agents learning from both human evaluative feedback and environmental rewards as well as on improving the efficiency of human-centered RL. Finally, we conclude with an overview of application areas and a discussion of future work and open questions.
Logic on MARS: Ontologies for Generalised Property Graphs

Graph-structured data is used to represent large information collections, called knowledge graphs, in many applications. Their exact format may vary, but they often share the concept that edges can be annotated with additional information, such as validity time or provenance information. Property Graph is a popular graph database format that also provides this feature. We give a formalisation of a generalised notion of Property Graphs, called multi-attributed relational structures (MARS), and introduce a matching knowledge representation formalism, multi-attributed predicate logic (MAPL). We analyse the expressive power of MAPL and suggest a simpler, rule-based fragment of MAPL that can be used for ontological reasoning on Property Graphs. To the best of our knowledge, this is the ﬁrst approach to making Property Graphs and related data structures accessible to symbolic AI.