Miracle-dz/UniFAR-FTUs huggingface dataset:
Ponkesdes Development into Community Nursing Center Based Health Promotion Model, Nursing Center and Behavioral Performance

Introduction: The vision of development in East Java is to realize a prosperous society and morals. In order to improve public health, as one of the measures to achieve this vision will require proximity access and improving the quality of health services in the community. Health cottage village (Ponkesdes) is a basic health services located in the village or villages that are part of the development of village midwife (Polindes). The aim of this study was to develop into a Community Nursing Center Ponkesdes based Health Promotion Model Theory, Nursing Center, and Performance Behavior nurse. Methods: The study design was an observational analytic consisting of two phases, namely the implementation of the exploratory and descriptive exploration causa effect. The population used in this study were nurses ponkesdes Tuban district that fit inclusion criteria as much as 20, with a sample of 20 respondents were determined using simple techniques saturated. The independent variable in this study is Nursing Center, Health Promotion and Behavior Model Performance dependent variable is the commitment and the action plan ponkesdes duty nurse. Instruments used in the collection of data in the form of questionnaires and data results focused discussion. Analysis of studies using the Partial Least Square. Results: This study showed a significant effect on Nursing Center nurse commitment Ponkesdes (t = 3.197). Health Promotion Model a significant effect on the commitment of nurses Ponkesdes (t = 2.185). Commitment nurses significantly influence nurses task Ponkesdes (t = 29.546). Discussion and Conclusions : Model development of community nursing center Ponkesdes be very relevant to be applied to programs that can improve the health and can be a solution for institutions of public health services.
Evolved to adapt: A computational approach to animal innovation and creativity

The production of novel behavioral sequences that gives rise to animal innovation and creativity is one of the most intriguing aspects of behavioral evolution. Numerous studies have recently documented the abundance and diversity of innova- tive and creative behaviors between and within species, yet the ability to innovate or to act creatively has mainly been described and quantified as a measure of animals' cognitive ability without explicit reference to cognitive mechanisms that may account for these behaviors. Here we discuss the creative process from a computational point of view and suggest such a mechanistic frame- work. In light of recent research on human creativity, animal learning, and animal problem solving, we suggest that animal crea- tivity is best understood as the production of context-appropriate novel behavioral sequences, which may be facilitated by the ability to learn the regularities in the environment and to represent them hierarchically, allowing for generalization. We present a cognitive framework that we recently developed, which employs domain-general mechanisms and has been used in the modeling of a range of sequential behaviors, from animal foraging to language acquisition, and apply it to behavioral innovation. In a series of simulations, we show how innovation and creative behavior can be produced by this learning mechanism, as it constructs a network representing the statistical regularities of the environment. We use the simulations to demonstrate the role of particular cognitive parameters in this process and to highlight the effects of the learning dynamics and individual experience on creativity (Current Zoology 61 (2): 350-367, 2015).
Gene Discovery through Expressed Sequence Tag Sequencing in Trypanosoma cruzi

ABSTRACT Analysis of expressed sequence tags (ESTs) constitutes a useful approach for gene identification that, in the case of human pathogens, might result in the identification of new targets for chemotherapy and vaccine development. As part of the Trypanosoma cruzigenome project, we have partially sequenced the 5′ ends of 1,949 clones to generate ESTs. The clones were randomly selected from a normalized CL Brener epimastigote cDNA library. A total of 14.6% of the clones were homologous to previously identified T. cruzi genes, while 18.4% had significant matches to genes from other organisms in the database. A total of 67% of the ESTs had no matches in the database, and thus, some of them might be T. cruzi-specific genes. Functional groups of those sequences with matches in the database were constructed according to their putative biological functions. The two largest categories were protein synthesis (23.3%) and cell surface molecules (10.8%). The information reported in this paper should be useful for researchers in the field to analyze genes and proteins of their own interest.
Pattern of Bacterial Pathogens in Postoperative Wounds and their Sensitivity Patterns

Objective During the study period, 82 (7.3%) patients developed postoperative wound infection in the selected ward. The most commonly isolated pathogens were E.coli (33.8%), Pseudomonas aeruginosa (16.9%) and Staphylococcus aureus (15.5%). Resistance pattern of E.coli isolates showed 100%, 93%, 32% and 12% resistance to ceftriaxone, ofloxacin, amikacin and meropenem respectively. Pseudomonas aeruginosa isolates were 100% resistant to tetracyclin and ceftazidime, 91.6% to ofloxacin, 83.3% to meropenem and 66.7% to amikacin. Staphylococcus aureus exhibited maximum resistance to cloxacillin (100%) followed by ofloxacin (90.9%), tetracyclin (45.5%), amikacin (45.5%), chloramphenicol (36.4%) and vancomycin (0%).
Implications of Health Status in Analysis of Risk in Older Persons

This article explores the hypothesis that health status in old age acts as a summary measure of health exposures over time and, as such, plays a central role as a determinant of survival and morbidity trajectories in old age. Evidence is presented for the utility of health status as a modifier of risk in other areas of gerontologic research, and an example of modification pertinent to the cholesterol-heart disease controversy in old age is presented. The potential of differential health status in old age to affect both risk factors and risk estimates in epidemiologic analyses may be an important principle as epidemiologists continue to develop research to preserve and augment the quality of life in old age.
SQL/CLI—a new binding style for SQL

In July of this year, the American and International committees responsible for the SQL standard finalized the specification for new binding style called the Call Level Interface (SQL/CLI) [2]. This new binding style is an addendum to the existing SQL Standard [1], and will comprise a new part in the next version of that standard. This paper takes a comprehensive look at SQL/CLI and explains why it is important to today's applications.
Three-layer architecture model (TLAM) for energy conservation in wireless sensor networks

We propose a Three-layer architecture model (TLAM) for wireless sensor networks. The first layer (bottom layer) consists of a network of resource-constrained sensor nodes deployed in the field. The second layer contains a set of resource-rich dynamic sink nodes forming an ad hoc network. The sinks at layer second are responsible to monitor and collect data from a region, called cluster. So the sinks at second layer are also knows as cluster sinks. At the third layer, there is a resource-rich static sink, known as zonal sink also, responsible for data collection from cluster sinks. A cluster sink may be few hops away from a static sensor node and moves to the vicinity of sensor nodes to collect the data. Each cluster sink continuously updates the zonal sink by propagating the collected data from the respective cluster. The zonal sink buffers the collected data and propagates to base station. Zonal sink is the one, responsible for data transmission from network environment to the base station, where the data is processed for further use. TLAM approach is robust, increases sensor life by allowing them to operate with a limited transmission range only and provides reduced delay as cluster sink continuously updates to zonal sink without query.
The 1967 Referendum: Race, Power and the Australian Constitution (2nd Ed.) [Book Review]

Review(s) of: The 1967 Referendum: Race, Power and the Australian Constitution (2nd Ed.), by Bain Attwood and Andrew Markus (Eds.), Aboriginal Studies Press, Canberra, 2007, viii+188pp, ISBN 978 0 85575 555 3.
Men, masculinity and "gender in development".

Articles and training materials on gender issues always talk about women. This focus is logical given the main goal of fostering the involvement of women as equal partners in the development process. The problems faced by men are rarely considered. Moreover, gender training, one of the core strategies of gender and development practice, rarely addresses men's experiences as men. By ignoring the complexities of the male experience, characterizing men as the problem, and continuing to focus upon women as the oppressed, development initiatives attempting to be gender-aware can fail to effectively address the issues of equity and empowerment. The author focuses upon the implications of recent work in feminist theory and questions of masculinity, stressing the need to consider the complex and variable nature of gender identities, and to work with men in exploring the constraints of dominant models of masculinity.
Localized Bases for Finite-Dimensional Homogenization Approximations with Nonseparated Scales and High Contrast

We construct finite-dimensional approximations of solution spaces of divergence form operators with $L^\infty$-coefficients. Our method does not rely on concepts of ergodicity or scale-separation, but on the property that the solution space of these operators is compactly embedded in $H^1$ if source terms are in the unit ball of $L^2$ instead of the unit ball of $H^{-1}$. Approximation spaces are generated by solving elliptic PDEs on localized sub-domains with source terms corresponding to approximation bases for $H^2$. The $H^1$-error estimates show that $\mathcal{O}(h^{-d})$-dimensional spaces with basis elements localized to sub-domains of diameter $\mathcal{O}(h^\alpha \ln \frac{1}{h})$ (with $\alpha \in [1/2,1)$) result in an $\mathcal{O}(h^{2-2\alpha})$ accuracy for elliptic, parabolic and hyperbolic problems. For high-contrast media, the accuracy of the method is preserved provided that localized sub-domains contain buffer zones of width $\mathcal{O}(h^\alpha \ln \frac{1}{h})$ where the contrast of the medium remains bounded. The proposed method can naturally be generalized to vectorial equations (such as elasto-dynamics).
A Cooperative Caching Algorithm for Cluster-Based Vehicular Content Networks with Vehicular Caches

In this paper, a cooperative caching algorithm is proposed for cluster-based vehicular content networks (VCNs) with vehicular caches. Different from the existing non-cooperative algorithm, the proposed algorithm is designed based on the globe caching status of vehicular clusters and the caching capacity constraints of vehicles. A novel average accumulated network cost metric is defined, i.e., a weighted sum of average accumulated normalized backhaul cost and average accumulated normalized vehicular caching cost. Given the mobility model and content distribution model of a vehicular cluster, the average accumulated network cost of the proposed algorithm can be obtained. Simulation results show that the proposed algorithm is more effective to reduce the average accumulated network cost compared with the existing algorithm under different scenarios.
Inflammatory Response and Glia Activation in Developing Rat Hippocampus after Status Epilepticus

Summary: Purpose: We investigated the activation of microglia and astrocytes, induction of cytokines, and hippocampal neuronal damage, 4 and 24 h after kainic acid–induced status epilepticus (SE) in postnatal day (PN) 9, 15, and 21 rats.
Transfer learning based compressive tracking

Although existing online tracking algorithms can solve the problems of scene illumination changes, partial or full object occlusions, and pose variation, there are still two weaknesses, inadequacy of training data and drift problem. Considering these, Compressive Tracking algorithm (CT) [1] extracts features from compressed domain, and classified object and background via a naive Bayes classier with online update. To further solve the problems of drift and inadequacy of training data, we introduce transfer learning into CT to take full advantage of prior information and propose a self-traininglike transfer learning algorithm. It selects training samples from samples collection to update classifier by the conduction of the classifier constructed at first frame. Eventually we introduce self-training-like transfer learning algorithm into CT to construct a novel tracking algorithm called Transfer Learning based Compressive Tracking (TLCT). Experimental results on 17 publicly available challenging sequences have shown the effectiveness and robustness of our algorithm.
Segmentation of motion objects from surveillance video sequences using partial correlation

Identifying moving objects from a video sequence is a fundamental and critical task in many computer vision applications. We develop an efficient adaptive segmentation algorithm for color video surveillance sequence in real time with non-stationary background; background is modeled using partial correlation coefficient using pixel-level based approach. At runtime, segmentation is performed by checking color intensity values at corresponding pixels using temporal differencing. The segmentation starts from a seed in the form of 3×3 image blocks to avoid the noise. Usually, temporal differencing generates holes in motion objects. After subtraction, holes are filled using image fusion, which uses spatial clustering as criteria to link motion objects. The emphasis of this approach is on the robust detection of moving objects even under noise or environmental changes (indoor as well as outdoor).
Iron Partitioning in Earth's Mantle: Toward a Deep Lower Mantle Discontinuity

We measured the spin state of iron in ferropericlase (Mg0.83Fe0.17)O at high pressure and found a high-spin to low-spin transition occurring in the 60- to 70-gigapascal pressure range, corresponding to depths of 2000 kilometers in Earth's lower mantle. This transition implies that the partition coefficient of iron between ferropericlase and magnesium silicate perovskite, the two main constituents of the lower mantle, may increase by several orders of magnitude, depleting the perovskite phase of its iron. The lower mantle may then be composed of two different layers. The upper layer would consist of a phase mixture with about equal partitioning of iron between magnesium silicate perovskite and ferropericlase, whereas the lower layer would consist of almost iron-free perovskite and iron-rich ferropericlase. This stratification is likely to have profound implications for the transport properties of Earth's lowermost mantle.
How do clinical information systems affect the cognitive demands of general practitioners? Usability study with a focus on cognitive workload

Background Clinical information systems in the National Health Service do not need to conform to any explicit usability requirements. Poor usability can increase the mental workload experienced by clinicians and cause fatigue, increase error rates and impact the overall patient safety. Mental workload can be used as a measure of usability. Objective To assess the subjective cognitive workload experienced by general practitioners (GPs) with their systems. To raise awareness of the importance of usability in system design among users, designers, developers and policymakers. Methods We used a modified version of the NASA Task Load Index, adapted for web. We developed a set of common clinical scenarios and computer tasks on an online survey. We emailed the study link to 199 clinical commissioning groups and 1,646 GP practices in England. Results Sixty-seven responders completed the survey. The respondents had spent an average of 17 years in general practice, had experience of using a mean of 1.5 GP computer systems and had used their current system for a mean time of 6.7 years. The mental workload score was not different among systems. There were significant differences among the task scores, but these differences were not specific to particular systems. The overall score and task scores were related to the length of experience with their present system. Conclusion Four tasks imposed a higher mental workload on GPs: ‘repeat prescribing’, ‘find episode’, ‘drug management’ and ‘overview records’. Further usability studies on GP systems should focus on these tasks. Users, policymakers, designers and developers should remain aware of the importance of usability in system design. What does this study add? Current GP systems in England do not need to conform to explicit usability requirements. Poor usability can increase the mental workload of clinicians and lead to errors. Some clinical computer tasks incur more cognitive workload than others and should be considered carefully during the design of a system. GPs did not report overall very high levels of subjective cognitive workload when undertaking common clinical tasks with their systems. Further usability studies on GP systems should focus on the tasks incurring higher cognitive workload. Users, policymakers, and designers and developers should remain aware of the importance of usability in system design.
Improving the quality of accounting students' learning through action-oriented learning tasks

This paper argues that the basis for change in accounting education to more active student involvement is much broader than the need to supply the accounting professions with graduates who possess wider skills and competencies. Active student engagement, in fact, is seen by several educationalists as an essential ingredient to all student learning and the developing of lifelong learning skills. Drawing from our own experiences, the paper illustrates how problem-based and peer-assisted learning tasks can help promote many of the skills and competencies so desired by educationalists, professions, employers and universities alike. The paper also provides student feedback on the effectiveness of these learning tasks in helping to develop those attitudes, skills, and knowledge. Consistent with much of the evidence in the general education literature, and in comparison with more traditional lecture-tutorial based courses, the student feedback overwhelmingly supports the use of action-oriented learning tasks.
Intravenous antibiotics reduce the presence of Aspergillus in adult cystic fibrosis sputum

Background Pseudomonas aeruginosa and Aspergillus fumigatus frequently co-colonise the airways of patients with cystic fibrosis (CF). This study aimed to assess the impact of short-term administration of intravenous antipseudomonal antibiotics during CF exacerbations on the presence of Aspergillus. Methods Pre- and post-antibiotic sputum samples from 26 adult patients with CF and chronic Pseudomonas colonisation were analysed for the presence of Aspergillus by fungal culture, real-time PCR and galactomannan antigen (GM). Lung function (forced expiratory volume in 1 s and forced vital capacity % predicted) and blood levels of total IgE, specific A fumigatus IgE and specific A fumigatus IgG were measured at the start and end of antibiotics. Respiratory viral real-time PCR and bacterial community profiling using ribosomal intergenic spacer analysis (RISA) were performed to estimate concurrent changes in the lung microbiome. Results Aspergillus PCR and GM were more sensitive than culture in detecting Aspergillus species (culture 8%, GM 31%, PCR 77%). There was a significant decline in the presence of Aspergillus, measured both by PCR and GM index, following antibacterial therapy (PCR: median increase in crossing threshold 1.7 (IQR 0.5–3.8), p<0.001; GM: median fall in GM index 0.7 (IQR 0.4–1.6), p=0.016). All patients improved clinically with a significant increase in lung function (p<0.0001). RISA community analysis showed large changes in bacterial community similarity in 67% of patients following antibiotics. Viral RT-PCR demonstrated the presence of a concurrent respiratory virus in 27% of patients. Conclusions Intravenous antibiotics targeting Pseudomonas during CF pulmonary exacerbations have a negative impact on the presence of Aspergillus in sputum samples.
Molecular Functions of Thyroid Hormones and Their Clinical Significance in Liver-Related Diseases

Thyroid hormones (THs) are potent mediators of several physiological processes, including embryonic development, cellular differentiation, metabolism, and cell growth. Triiodothyronine (T3) is the most biologically active TH form. Thyroid hormone receptors (TRs) belong to the nuclear receptor superfamily and mediate the biological functions of T3 via transcriptional regulation. TRs generally form heterodimers with the retinoid X receptor (RXR) and regulate target genes upon T3 stimulation. Research over the past few decades has revealed that disruption of cellular TH signaling triggers chronic liver diseases, including alcoholic or nonalcoholic fatty liver disease and hepatocellular carcinoma (HCC). Animal model experiments and epidemiologic studies to date imply close associations between high TH levels and prevention of liver disease. Moreover, several investigations spanning four decades have reported the therapeutic potential of T3 analogs in lowering lipids, preventing chronic liver disease, and as anticancer agents. Thus, elucidating downstream genes/signaling pathways and molecular mechanisms of TH actions is critical for the treatment of significant public health issues. Here, we have reviewed recent studies focusing on the roles of THs and TRs in several disorders, in particular, liver diseases. We also discuss the potential therapeutic applications of THs and underlying molecular mechanisms.
The Symbolic Meaning Effect on Smartphone Repurchase: A Comparison of Android and IOS

With Android and iOS as the dominating operation systems, the growth of one player’s influence in the market translates into the loss of its opponent’s market share. In the marketing discipline, expectation confirmation theory is used to study how a consumer’s satisfaction influences his/her willingness to repurchase the product. Scholars extended the theory and developed a post-acceptance model of information system continuance and applied the model to consumers’ continuance with information technological products. This paper will analyse consumers’ repurchase with Android and iOS-based smartphones. More, satisfied customers may still be switching to competitor's product/service. This study therefore explores possible moderators between user satisfaction and repurchase.
Analysis of envelope signal injection for improvement of RF amplifier intermodulation distortion

Adaptive bias techniques based on envelope signal power detection have been proposed for linearity enhancement and DC current reduction in RF amplifiers. Experimental results show an improvement in amplifier linearity, although asymmetric intermodulation distortion (IMD) was observed. This paper studies the effects of the magnitude and phase of the envelope signal injection on amplifier linearity, and illustrates a technique in which the IMD can be optimally cancelled.