Miracle-dz/UniFAR-FTUs huggingface dataset:
Children’s student nurses’ knowledge of spirituality and its implications for educational practice

Children’s nurse educators have to rely predominantly on adult-based literature to guide their educational practice concerning spirituality in the nursing curriculum. The aim of this study was to get a children’s nursing perspective. A questionnaire was designed around the main themes emerging from the adult literature on spirituality. This was distributed to children’s nurses on the undergraduate curriculum at a UK university. The results showed that some of the challenges of delivering spirituality are common to both adult and children’s nursing. However, there were also significant differences revolving around the impact that children and families had in informing students’ understanding of spirituality, and the problems of seeking a unified theory of spirituality in a children’s nursing context. It concludes that children’s nursing has important lessons to learn from the adult literature; however, it must strive to construct its own insights and use this understanding to inform educational approaches to the topic.
Azimuthal variations in attributes for induced fracture detection in the Barnett Shale

AbstractWide azimuth seismic data acquisition has become standard in many plays where azimuthal characterization of fractures or stress is important for fully understanding reservoir behavior. Usually, the desire is to image preexisting fracture networks, but, in artificially stimulated reservoirs, it is also desirable to understand the fracture state after completion. To characterize the induced fractures in a heavily drilled area of the Barnett Shale, a wide azimuth survey was acquired and processed to generate four separate azimuthal stacks. Attributes exploiting variations in amplitude and waveform were independently calculated for each azimuthal stack. Azimuthal variations in the attributes were then quantified through ellipse fitting. The attributes with the most statistical significance in azimuthal variability were those related to frequency such as the wavelet dominant frequency. These attributes were consistent with each other but show a wide distribution over azimuths across the survey. In addi.
Acoustic pattern matching and beam searching

Dynamic programming (DP) has become a popular means of performing the necessary time warping in isolated word recognition. DP offers the advantage of always finding the optimal fit of a known reference pattern against an unknown input utterance. Unfortunately, DP has two major disadvantages: 1) The amount of data needed to store the known reference patterns can be very large and 2) the computation needed to do the full DP search is intensive. Because of these problems, DP has not yet become feasible for commercial low cost speaker dependent isolated word recognition systems. We present two means of reducing both the storage requirements and the computation needed for the DP search: 1) a segmentation scheme for the reduction of data (and thereby computation) which typically reduces the speech data by a factor of between 3 and 4 and 2) a modification of the Beam search used by the Harpy speech recognition system which provides a substantial speedup over conventional DP. Together, computation is reduced by an order of magnitude.
Quine on Meaning and Existence, II

\^Fuine's philosophical writings are for the most part contained in two collections of essays, From a Logical Point of View1 and recently The Ways of Paradox,2 and in an important book, Word and Object.3 The present survey will be restricted to views ex pressed in these three volumes, although Quine's work in logic is continuous with his work in philosophy.4 The present Part One describes and defends Quine's views about meaning. The follow ing Part Two does the same for his views on other subjects, especially ontology and epistemology. The two parts are related in a way to be explained in Part Two.
Broadband Video Streaming during backhaul WiMAX handoff

Broadband Video Streaming (BVS) with selective retransmission trades a reduced but acceptable video quality during IEEE 802.16e hard handoff (HHO) for improved end-to-end latencies. Both forms of BVS promise better video quality with an HHO than UDP transport or traditional congestion-controlled streaming.
High frequency power transformer modeling for Power Line Communication applications

This paper deals with the modeling of distribution power transformer with the frequency up to 10 MHz for power line communication (PLC) applications. For this purpose, a new approach to model the transformer is proposed. Then, the elaboration of the model from the impedance measurement in frequency domain is presented. For the determination of the parameters of model, the necessary methods are introduced. The simulation is carried out with ATP/EMTP to compare the characteristic of the measured impedance and the model. In order to verify the model, the small signal transfer through the transformer is measured and compared with the simulation
Dose and Promoter Effects of Adeno-Associated Viral Vector for Green Fluorescent Protein Expression in the Rat Brain

Previous studies demonstrated that the rat neuron-specific enolase (NSE) promoter is effective for transgene expression in the brain in a variety of adeno-associated virus-2 vectors. This study evaluated the dose response and longer time course of this promoter and compared it to two cytomegalovirus/chicken beta-actin hybrid (CBA) promoter-based systems. NSE promoter-driven green fluorescent protein (GFP)-expressing neurons were found at doses as low as 10(7) particles, with expression increasing in a dose-dependent manner over a 3.3-log range. Bicistronic expression of GFP via an internal ribosome entry site coupled to the NSE promoter was also dose dependent, although the potency was decreased by 3.4-fold. The number of GFP-expressing neurons was stable for at least 25 months. The CBA promoter increased the numbers of GFP-expressing cells versus the NSE promoter, although the expression pattern remained neuronal and persisted for at least 18 months. The CBA promoter permitted detection of cells distal to the injection site that had retrogradely transported the vector from their terminal areas. Incorporating the woodchuck hepatitis virus post-transcriptional regulatory element (WPRE) into a CBA promoter vector induced greater expression levels in the hippocampus, as measured by stereological estimates of cell numbers and by Western blots, which demonstrated an 11-fold increase. Incorporation of the WPRE also improved transgene expression in primary neuronal cultures. The increased efficiency obtained with vector elements such as the CBA promoter and the WPRE may enhance the ability to genetically modify larger portions of the brain while requiring smaller doses and volumes.
The Effect of Zinc On Microbial Growth

The antibacterial activity of zinc acetate against Staphylococcus auerus, Staphylococcus epidermidis and Pseudomonas aeruginosa isolates was measured in Mueller-Hinton broth containing different amounts of zinc acetate using spectrophotometry. Staphylococcus auerus, Staphylococcus epidermidis and Pseudomonas aeruginosa isolates were inhibited by zinc acetate (p
Rotavirus Antagonizes Cellular Antiviral Responses by Inhibiting the Nuclear Accumulation of STAT1, STAT2, and NF-κB

ABSTRACT A vital arm of the innate immune response to viral infection is the induction and subsequent antiviral effects of interferon (IFN). Rotavirus reduces type I IFN induction in infected cells by the degradation of IFN regulatory factors. Here, we show that the monkey rotavirus RRV and human rotavirus Wa also block gene expression induced by type I and II IFNs through a mechanism allowing signal transducer and activator of transcription 1 (STAT1) and STAT2 activation but preventing their nuclear accumulation. In infected cells, this may allow rotavirus to block the antiviral actions of IFN produced early in infection or by activated immune cells. As the intracellular expression of rotavirus nonstructural proteins NSP1, NSP3, and NSP4 individually did not inhibit IFN-stimulated gene expression, their involvement in this process is unlikely. RRV and Wa rotaviruses also prevented the tumor necrosis factor alpha-stimulated nuclear accumulation of NF-κB and NF-κB-driven gene expression. In addition, NF-κB was activated by rotavirus infection, confirming earlier findings by others. As NF-κB is important for the induction of IFN and other cytokines during viral infection, this suggests that rotavirus prevents cellular transcription as a means to evade host responses. To our knowledge, this is the first report of the use of this strategy by a double-stranded RNA virus.
Staphylococcus aureus strains which are not identified by rapid agglutination methods are of capsular serotype 5

A total of 183 recent Staphylococcus aureus clinical isolates were tested with three commercially available rapid agglutination methods. The capsular polysaccharide type and resistance to oxacillin of these isolates were also determined. Seven isolates were not identified correctly by agglutination methods. All isolates not identified by the rapid methods were of capsular serotype 5, and of these isolates, six were resistant to oxacillin. The results suggest that these agglutination kits can be improved by the use of antibodies reactive with S. aureus capsular polysaccharide.
Cooperation of the prs and dnaA gene products for initiation of chromosome replication in Escherichia coli

A new Escherichia coli mutant allele, named dnaR, that causes thermosensitive initiation of chromosome replication has been identified to be an allele of the prs gene, the gene for phosphoribosylpyrophosphate synthetase (Y. Sakakibara, J. Mol. Biol. 226:979-987, 1992; Y. Sakakibara, J. Mol. Biol. 226:989-996, 1992). The dnaR mutant became temperature resistant by acquisition of a mutation in the dnaA gene that did not affect the intrinsic activity for the initiation of replication. The suppressor mutant was capable of initiating replication from oriC at a high temperature restrictive for the dnaR single mutant. The thermoresistant DNA synthesis was inhibited by the presence of the wild-type dnaA allele at a high but not a low copy number. The synthesis was also inhibited by an elevated dose of a mutant dnaR allele retaining dnaR activity. Therefore, thermoresistant DNA synthesis in the suppressor mutant was dependent on both the dnaA and the dnaR functions. On the basis of these results, I conclude that the initiation of chromosome replication requires cooperation of the prs and dnaA products.
Functional Heterogeneity in the Bed Nucleus of the Stria Terminalis

Early work stressed the differing involvement of the central amygdala (CeA) and bed nucleus of the stria terminalis (BNST) in the genesis of fear versus anxiety, respectively. In 2009, Walker, Miles, and Davis proposed a model of amygdala-BNST interactions to explain these functional differences. This model became extremely influential and now guides a new wave of studies on the role of BNST in humans. Here, we consider evidence for and against this model, in the process highlighting central principles of BNST organization. This analysis leads us to conclude that BNST's influence is not limited to the generation of anxiety-like responses to diffuse threats, but that it also shapes the impact of discrete threatening stimuli. It is likely that BNST-CeA interactions are involved in modulating responses to such threats. In addition, whereas current views emphasize the contributions of the anterolateral BNST region in anxiety, accumulating data indicate that the anteromedial and anteroventral regions also play a critical role. The presence of multiple functional subregions within the small volume of BNST raises significant technical obstacles for functional imaging studies in humans.
WiFind: Driver Fatigue Detection with Fine-Grained Wi-Fi Signal Features

Driver fatigue is a leading factor in road accidents that can cause severe fatalities. Existing fatigue detection works focus on vision and electroencephalography (EEG) based means of detection. However, vision-based approaches suffer from view-blocking or vision distortion problems and EEG-based systems are intrusive, and the drivers have to use/wear the devices with inconvenience or additional costs. In our work, we propose a novel Wi-Fi signals based fatigue detection approach, called WiFind to overcome the drawbacks as associated with the current works. WiFind is simple and (wearable) device-free. It can detect the fatigue symptoms in the vehicle without relying on any visual image or video. By applying self-adaptive method, it can recognize the body features of drivers in multiple modes. It applies Hilbert-Huang transform (HHT) based pattern extract method results in accuracy increase in motion detection mode. WiFind can be easily deployed in a commodity Wi-Fi infrastructure, and we have evaluated its performance in real driving environments. The experimental results have shown that WiFind can achieve the recognition accuracy of 89.6 percent in a single driver scenario.
Glottal-synchronous speech processing

Glottal-synchronous speech processing is a field of speech science where the pseudoperiodicity of voiced speech is exploited. Traditionally, speech processing involves segmenting and processing short speech frames of predefined length; this may fail to exploit the inherent periodic structure of voiced speech which glottal-synchronous speech frames have the potential to harness. Glottal-synchronous frames are often derived from the glottal closure instants (GCIs) and glottal opening instants (GOIs). The SIGMA algorithm was developed for the detection of GCIs and GOIs from the Electroglottograph signal with a measured accuracy of up to 99.59%. For GCI and GOI detection from speech signals, the YAGA algorithm provides a measured accuracy of up to 99.84%. Multichannel speech-based approaches are shown to be more robust to reverberation than single-channel algorithms. The GCIs are applied to real-world applications including speech dereverberation, where SNR is improved by up to 5 dB, and to prosodic manipulation where the importance of voicing detection in glottal-synchronous algorithms is demonstrated by subjective testing. The GCIs are further exploited in a new area of data-driven speech modelling, providing new insights into speech production and a set of tools to aid deployment into real-world applications. The technique is shown to be applicable in areas of speech coding, identification and artificial bandwidth extension of telephone speech.
Subjective sleepiness and accident risk avoiding the ecological fallacy

The present study of sleepiness and accident risk in a HI‐FI car simulator aimed to provide subject‐level relative risks (RR) with 95% confidence intervals (CI) for different levels of subjective sleepiness measured with the Karolinska Sleepiness Scale (KSS), 1 = very alert, 9 = very sleepy, fighting sleep, an effort to staying awake. Five male and five female shift workers, mean age 37 years, participated with a 2‐h drive (08:00–10:00 hours) in a dynamic high‐fidelity moving base driving simulator, after a night of work and after a night of sleep. Subjective sleepiness was measured with KSS every 5 min and events of incidents (two wheels outside the right lane), accidents (two wheels off the road or four wheels in opposite lane) and crashes (four wheels off the road) were recorded. The probability of an accident was modelled with a Generalized Linear Mixed Model approach to estimate subject‐specific effects, rather than group average effects, to avoid the ecological fallacy. The results showed that sleepiness was strongly related to accident risk. An average subject was estimated at 28.2 times (95% CI RR = 10.7–74.1) increased risk at KSS = 8 and at 185 times (95% CI RR = 42–316) at KSS = 9 compared with KSS = 5. There were large individual differences in event propensity that complicates the prediction of absolute accident risk for individual subjects.
Leucanthemum vulgare lam. crude oil phytoremediation

Abstract Sites with crude oil pollution have been successfully treated using phytoremediation, but expanding the range of plants that can be used and understanding how exposure impacts the plants are two areas of study that are important to continue. Leucanthemum vulgare has been shown to grow well under a variety of stressful conditions. To examine L. vulgare’s ability to both survive crude oil exposure and to reduce crude oil concentrations in soil, plants were placed in soil containing 0, 2.5, 5, 7.5, or 10% w/w crude oil. Total petroleum hydrocarbons (TPH) concentration, peroxidase and catalase activity, proline and phenol content in roots and leaves were determined at the start of planting and every 2 months for 6 months. L. vulgare roots were successfully colonized with mycorrhizae under all conditions. Results showed positive correlation between antioxidant compound concentration and crude oil contamination. Also, a significant reduction occurred in TPH content of soil over time in planted pots as compared to controls. The lowest TPH content was recorded after 6 months under all treatments. Results showed L. vulgare could survive crude oil exposure and enhance reducing of crude oil from soil.
Finger-Tapping Interference as Produced by Concurrent Verbal and Nonverbal Tasks: An Analysis of Individual Differences in Left-Handers

Verbal cerebral asymmetry was examined in 96 right- and left-handed college students using dual-task methods. The manual task was finger-tapping; verbal tasks were anagram-solution in silent and aloud conditions; nonverbal tasks were solution of Raven's Progressive Matrices and forms memory. Both handedness groups were sensitive to the task manipulation, i.e., verbal tasks produced a significant change in tapping rate from a no-change rate of zero; nonverbal tasks produced no significant change in tapping rate. Right-handers experienced the expected asymmetric manual performance indicative of left-hemisphere language laterality. Left-handers as a group experienced no asymmetric pattern but rather a percentage decrease in both hands which suggested bilateralization of language functions. Only when examining manual performance patterns within specific left-handed subpopulations (composed of a complete crossing of handwriting posture, familial sinistrality, and sex) did laterality patterns emerge. Specifically, asymmetric manual performance was found only in familial sinistral inverted posture females. Results demonstrate the advantage of controlling for subject characteristics when assessing cerebral laterality in left-handers.
Improving English Named Entity Recognition

In recent years much of the work in named entity recognition has been focused on tackling entities in different languages or domains. However the task of English named entity recognition still remains to be solved. In this paper we explore more ways to improve the English named entity recognition system beyond just distributional semantics and the use of external gazetteer. These ways include pruning search space, increasing training data, chunked-based states, and active learning. Our experiments show we can still improve the English named entity recognition task and we find an improvement of at least . 2% from our experiments.
Composição de serviços em ambientes pervasivos: um modelo de referência.

Pervasive environments are populated by several devices (sensors, actuators, etc.) and software applications (local or distributed) incorporated these physical environments transparently to the user. Environments of this type should be able to interact and process user requests autonomously and transparently. In this sense, one of the biggest research challenges in pervasive environments is to establish automatic mechanisms to compose dynamically, features that meet the user requirements. In this sense, we set the hypothesis that automatic mechanisms of interaction between users and environments can be addressed as a problem of automatic composition of services in pervasive environments. Therefore, our proposal is to develop a reference model, from which systems can be implemented to enable the pervasive environment interact with the user in a natural, automatic and dynamic. Thus, the system service composition management and automates the process of resolving requests made by the user (implicitly and / or explicitly) through the functionality (services) available in the environment or through new features created by the process of composition. To this end, this paper presents a “Reference Model” that allows to design, implement and evaluate systems of composition of services that manage and automate the interaction process in different types of pervasive environments. Our proposal brings benefits such as loose coupling and interoperability, because it is possible to select, integrate and reuse in an efficient and effective heterogeneous services from different types of devices and / or applications. Furthermore, the ontological model WSMO (Web Services Modeling Ontology) allows us to semantically describe the capabilities of the services as well as contextual information in the environment, which makes our system closer to a real pervasive environment as conceived by Mark Weiser.
Efficient security for Desktop Data Grid using cryptographic protocol

Security is the condition that prevents unauthorized persons from having access to official information that is safeguarded in the interests of some particular purpose. Data security ensures that kind of private and sensitive data from corruption and the access to it is suitably controlled. Enterprise businesses and government agencies around the world face the certainty of losing sensitive data from crashed devices. This drives the need for a complete data protection solution that secures data on all common platforms, deploys easily, scales to any size organization and meets strict compliance requirements related to privacy laws and regulations. The reliability and data assurance at adverse conditions is the requirement of this century. Particularly in the paradigm of “Volunteer Computing” which is a specific type of distributed system, where shared resources are provided in a volunteer fashion by the clients of the Desktop Data Grid System. In this paper, we propose an architecture for the desktop data grids with a centralized server which increases the performance of the system and reduces the complexity of the server. The efficiency of the system not only depends on the security level of the client but also considers the sensitivity of the data being stored in the system. Altogether a simple metric termed Fragmentation Factor (FF) is proposed in this system which considers both the security of the client and the sensitivity of the data. The erasure tornado codes are applied to cope up with unreliable data storage components in the distributed data grid systems. The enhanced levels of security can be achieved in the corporate environment by imposing Security Auditing. To ensure the security of the various servers and systems, the security has to be assessed through proper audit tools.
Innovative telemedicine solutions for diabetic patients

The purpose of this paper is to highlight the best practices in development of telemedicine services for self-management of patients with diabetes. Target group consisted of type 1 patients of age 27-38. These practices are derived from authors experience, patients and physicians involvement, literature and existing solutions review. Developed mHealth telemedicine system is introduced. Results on usability and acceptability of the proposed solution are described from field testing and patients' feedback. Discussion on elements influencing the adoption of telemedicine solutions is introduced.