Miracle-dz/UniFAR-FTUs huggingface dataset:
Walking on unstable ground: exploring registered nurses’ and licensed practical nurses’ experiences of learning to work together using a methodologically plural approach

My own experiences of disjuncture sparked questions related to how practical nursing education is situated within the larger nursing disciplinary landscape. On acute care nursing units, work relationships are changing between RNs and LPNs as new collaborative care models are introduced, creating ambiguity and confusion with increasingly overlapping scopes of practice. Gaps remain in knowing how RNs and LPNs experience changes in these intra-professional team contexts, and how patient care, nursing work, and nursing education may be influenced by these new collaborative models. This has been the foundation for the journey towards graduate study and this dissertation work. In this dissertation I address the overarching research question: How are registered and practical nurses’ experiences of learning to work together being organized by educational and work contexts? This question consists of two sub-questions: 1) What are the experiences of prelicensure health professional students and educators learning to work in intra-professional teams? and, 2) How are institutional texts organizing post-licensure nurses’ experiences of learning to practice on intra-professional teams? The first sub-question is addressed using the Joanna Briggs Institute (JBI) qualitative systematic review methodology to reveal what is currently known about how pre-licensure health professional students learn to work on intraprofessional teams. The second question is approached using an institutional ethnographic analytic lens to explore how post-licensure nurses’ (RNs and LPNs) work is socially organized via educational, union, health authority, and regulatory texts and how this social organization impacts intra-professional relationships. Taking a plural approach to knowledge construction allows for a multi-perspectival view of RNs and LPNs experiences and the role of educational and work contexts in shaping how they learn to work together. Incorporating methodologies as diverse as a JBI systematic review and institutional ethnography raises methodological tensions. Each has its own philosophical assumptions, reflecting particular strengths and limitations in the production of knowledge. The challenges of employing a plural approach are explored alongside new knowledge and possibilities for exploring and understanding how best to care for patients and educate students within complex, collaborative environments.
Improving the affordability of inactivated poliovirus vaccines (IPV) for use in low- and middle-income countries. An economic analysis of strategies to reduce the cost of routine IPV immunization.

This report from the vaccine technologies team at PATH presents results from an economic model that calculates the costs involved in delivering IPV vaccine in Indian immunization clinics according to three strategies: (1) intradermal delivery of reduced volumes of vaccine per dose (2) use of adjuvants to allow a reduced IPV antigen content per dose and (3) reduction of the number of doses per IPV immunization schedule. The strategies include delivery by standard technique and with alternative delivery devices.
THE EFFECT OF SMOKING ON HUMORAL IMMUNE RESPONSE IN INSULIN DEPENDENT DIABETIC PREGNANCY(Type 1)

Tobaccos smoking products have aheavy impact on the public health of developed countries as well as non- developed by being a main etiologic factor for induction of cardiovascular disease and tobacco-related cancer . The purpose of this study was to determine the influence of tobacco smoking on the measurement of the humoral immune response in 30 pregnant woman with (Type 1) diabetic group in contrast with 30 non smoking pregnant women group and 30 normal women . All studies group have (matched) age and working life.Measurement suggested that diabetic smoker had decrease level of IgG and IgM in their sera it was found that normal individual had mean IgA,IgG, IgM level 1.77mg/ml,8.3 mg/ml and 0.63 mg/ml respectively while non-smoker women suffering from type 1 diabetes had mean level of 2.44 mg/ml,9.94 mg/ml and 1.02 mg/ml . However, the mean level of IgA,IgG and IgM in diabetic smoker sera was determined to be 2.3 mg/ml,7.04 and 0,28mg/ml,respectively. T The obtained result suggest that toxic smoke component were immunosuppressant and may well play apart in the complex immuno-pathogenesis intraction.The increased risk of smoking in insulin dependent diabetic pregnant women during pregnancy is a further reasons to encourage pregnant women to exclude tobacco smoking.
Analisis Indeks Harga Konsumen di Indonesia Melalui Pendekatan Kointegrasi (Analysis of the Consumer Price Index in Indonesia Using the Cointegration Approach)

This study aims to analyze the relationship between the rupiah exchange rate (RER) and the money supply (M1) on the outgrowth of the consumer price index (CPI) in Indonesia. The data used in this study are monthly data series from January 2005 to January 2019. The results of this empirical study shows that there is a relationship between RER and M1 on CPI in the long term and there is a correction in the short term balance (ECM) which is influenced by M1. All of these variables are significant at α = 5% and partly significant at α = 1%.
Sounding out synthesis: Investigating how educators in a teaching with technology course use sonic composition to remix reflection

This study explores how educators (n = 23) in a graduate-level “teaching with technology” course used the affordances of digital composing, and sonic composition in particular, to “sound out” reflection. Using the twin-lenses of sociocultural theory and social semiotics, findings suggest that sound operated as a: rhetorical tool for illustrating affect/argument; complementary mode to syncretic meaning; and a diegetic structural feature/locating mechanism. Examining how multimodality became a technology and communicative resource for teachers to remix reflection, this study highlights the frictions and freedoms of using sound to synthesize learning in the online teacher education classroom. As such, this article proposes novel ways to think with sound in e-learning and (re)educates the senses to hear practitioner-inquiry in new ways.
Transformation and Sources of Growth in Southeast Asian Agriculture

Abstract:Over the past few decades, agriculture in Southeast Asia has experienced robust growth and undergone a significant structural transformation, albeit at a different pace in different countries in the region. This paper aims to understand the process of agricultural transformation and growth in Southeast Asia. The findings of this study show that, driven by technological change, area expansion and diversification, agriculture has grown faster in low-income countries in the region. In contrast, agricultural growth in high-income countries has been slow and driven by price increases, mainly of export-oriented commercial crops such as oil palm, rubber and coconut—alongside expansion of cropped area under these crops. In view of the fixed supply of land and high volatility in global food prices, the area- and price-driven growth is not sustainable in the long run. For efficient, sustainable and inclusive growth, exploiting the potential of existing and frontier technologies and diversification of production portfolio holds greater promise.
Identity activation structural tolerance online sequential circular extreme learning machine for highly dimensional data

The Structural Tolerance Online Sequential Circular Extreme Learning Machine (STOS-CELM) was developed based on the Circular Extreme Learning Machine (CELM) to allow sequential learning and to mitigate the criticality of deciding the number of hidden nodes with the Householder Block exact inverse QRD Recursive Least Squares (HBQRD-RLS) algorithm. A previous study showed significant efficiency improvement using STOS-CELM with sine activation. However, sine activation is periodic. Its periodicity repeatedly maps multiple values of its input to the same output values. Within the context of STOS-CELM, input of the activation is a non-negative real value corresponding to the closeness of the data to CELM kernels. Mapping this non-negative real value to a limited range with a periodic nature causes loss of inherent information. That could restrain the STOS-CELM from reaching its full potential. This article proposes an Identity Activation Structural Tolerance Online Sequential Circular Extreme Learning Machine (ISTOS-CELM) to improve the STOS-CELM by removing the sine function to relieve this issue. Our experimental results show that ISTOS-CELM provides significantly higher accuracy than STOS‑ELM and the original STOS-CELM, while retaining a comparable processing time and robustness to STOS-CELM.
Uncovering antibody cross-reaction dynamics in influenza A infections

Uncovering the hidden pathways of how antibodies induced by one influenza strain is effective against another, cross-reaction, is the central dogma for the design of universal flu vaccines. Here, we conceive a stochastic model that successfully represents the antibody cross-reactive data from mice infected with H3N2 influenza strains and further validation with cross-reaction data of H1N1 strains. After modifying several aspects and parameters in the model, our computational simulations highlight that changes in time of infection and the B-cells population are relevant, however, the affinity threshold of B-cells between consecutive infections is a necessary condition for the successful Abs cross-reaction. Our results suggest a reformulation in 3-D of the current antibody influenza landscape.
Voting-based integration algorithm improves causal network learning from interventional and observational data: an application to cell signaling network inference

In order to increase statistical power for learning a causal network, data are often pooled from multiple observational and interventional experiments. However, if the direct effects of interventions are uncertain, multi-experiment data pooling can result in false causal discoveries. We present a new method, “Learn and Vote,” for inferring causal interactions from multi-experiment datasets. In our method, experiment-specific networks are learned from the data and then combined by weighted averaging to construct a consensus network. Through empirical studies on synthetic and real-world datasets, we found that for most of the larger-sized network datasets that we analyzed, our method is more accurate than state-of-the-art network inference approaches.
Comparison of neutral and adaptive differentiation in the Mediterranean grass Brachypodium retusum

The Mediterranean grass Brachypodium retusum is the dominant species of a vulnerable steppe habitat. Differentiation in phenotypic traits has been found in a previous study, but scales and drivers are largely unknown. In this study, we compared molecular and phenotypic variation between populations to (1) analyse spatial patterns of neutral genetic variation; (2) test for effects of selection on differentiation and (3) identify major drivers of adaptive differentiation. We collected plant material of 17 populations in the western Mediterranean covering a large part of the species range. Neutral population differentiation was estimated using AFLP markers. A regional-scale subset of pairs of French populations was sampled in close proximity from calcareous and red Mediterranean soils as major habitat types. Sampling sites differed in climate at a regional scale and in soil characteristics such as pH at a local scale. These populations were grown in a common garden experiment to measure phenotypic traits. To test for the effects of selection on phenotypic differentiation, we calculated pairwise θST values based on neutral AFLP markers and compared them to pairwise PST values using phenotypic traits. Global dataset θST indicated significant neutral genetic differentiation between western Mediterranean populations. In the French populations, PST of vegetative and reproductive traits were higher than θST, suggesting that directional selection contributed to phenotypic population differentiation. We also found significant local-scale differentiation between soil types, but differentiation was substantially higher at the regional scale, pointing towards climate as a stronger selective factor than soil type. Mean temperature of the hottest month and winter frost frequency were identified as major drivers of adaptive differentiation. The study demonstrated the importance of combining neutral marker and phenotypic trait analysis at different spatial scales to evaluate genetic structure. Despite relatively low differentiation in AFLP markers, environmental pressure was sufficient to maintain phenotypic differentiation at regional scales.
Medico-legal aspects of peripheral nerve injury

Iatrogenic nerve injuries are always a matter for concern. This article will address the common causes, diagnosis and management of iatrogenic peripheral nerve injuries. The most widely used classification of peripheral nerve injury is that described by Seddon in 1943.1 He divided nerve injuries into three types: neurapraxia, axonotmesis and neurotmesis. Neurapraxia (inactivity of the nerve) is a non-degenerative lesion of a nerve characterised by a complete or partial failure to propagate an action, potentially resulting in motor and/or sensory loss. It is usually caused by compression or ischaemia, resulting in ischaemia of the myelin sheath. The nerve remains intact and Wallerian degeneration does not occur. It is reversible if the injurious agent is removed. If the distal segment of the nerve is stimulated, there is a motor response. The lesion recovers by remyelination of the distal segment and takes between two and 12 weeks, depending on the age of the patient and the site of the injury. In practice, it is unwise to assume that a lesion is a neurapraxia rather than a more severe injury because this will lead to delay in diagnosis and a poorer outcome. The presence of persistent pain suggests that the injurious agent is continuing to act. The diagnosis should not be made in the presence of a strong Tinel test which indicates that axons have been ruptured. An axonotmesis (cutting of the axon) is the result of disruption of the axon and its myelin sheath. The supporting structures, Schwann cells, endoneurium, perineurium and epineurium remain intact. It is usually the result of severe compression or a crush injury. Wallerian degeneration occurs distally, and proximally to the closest node of Ranvier. Repair is by a combination of collateral sprouting in lesser injuries and axonal regeneration in more severe injuries. The latter occurs at …
Multi-temporal remote sensing data to monitor terrestrial ecosystem responses to climate variations in Ghana

Abstract Operational monitoring of vegetation and its response to climate change involves the use of vegetation indices (VIs) in relation to relevant climatic data. This study analyses the temporal variations of vegetation indices in response to climatic data (temperature and precipitation) to better understand the phenological changes in the Wa-West and Tolon districts of Ghana during 1999–2011. This study also examines the inter-annual variation of vegetation indices and lag effects of climate variables (temperature and precipitation) using simple regression and correlation approaches. Results indicate that the mean Normalized Difference Vegetation Index (NDVI) and Normalized Difference Soil Index (NDSI) were significantly correlated with the mean temperature, whereby the value of NDVI increases with a decrease in temperature and value of NDSI increases with an increase in temperature. On examining seasonal variations, our findings indicated that the months of August and September have the highest mean NDVI values. This study confirms that consistently rising temperature and altered precipitation patterns have exerted a strong influence on temporal distributions and productivities of the terrestrial ecosystems of the Tolon and Wa-West districts of Ghana. Furthermore, this research demonstrates how vegetation indices can be used as an indicator to monitor phenological changes in the terrestrial ecosystem.
Effect of Deficit Irrigation and Planting Method on Maize Plants under Middle Delta Conditions of Egypt

Two field experiments were carried out at El-Gemmeiza Agricultural Research Station Farm, Egypt, during 2017 and 2018 summer seasons to study the effect of soil water deficit and the planting method on maize plant under Middle Delta conditions of Egypt. Irrigation at 65% available soil moisture depletion (AVSMD) did not significantly decrease chlorophyll content, dry matter (DM), leaf area index (LAI), crop growth rate (CGR), relative water content (RWC), osmotic potential (OP), ear length, ear diameter, rows per ear, kernels per row,100-kernel weight and grain yield. 50 % irrigation treatment decreased crop water productivity (CWP) by 9.93 % across the two seasons compared to irrigation at 80 % AVSMD. Irrigation at 80 % of AVSMD increased drought sensitivity (YR/ SD) and the drought susceptibility index (S) and CWP in both seasons. The reduction in WCU due to irrigation at 65 % of AVSMD reached 19.34 to 20.30 % and the improvement in CWP was 15.42 to 14.37 % compared to the irrigation at 50 % (control) in both seasons, respectively. Sowing maize plants on beds140 cm apart on both sides of beds and the distance between the hills was 25 cm (24000 plants per feddan) resulted in the highest chlorophyll content, DM, LAI, CGR, RWC, ear height, ear length, 100-kernel weight and grain yield in the two seasons, This treatment decreased YR/SD and S. Decreasing YR/SD and S. such decreases were accompanied with increasing CWP. It can be recommend that sowing maize plants on beds140 cm apart on both sides of beds, and the distance between hills 25 cm and irrigation at 65 % of AVSMD decreased WCU and improved CWP, in addition this treatment did not significantly decrease yield and its components and attained the lowest YR/S and S values.
Role of the Community Reinvestment Act in Mortgage Supply and the U.S. Housing Boom

This paper studies the role of the Community Reinvestment Act (CRA) in the U.S. housing boom-bust cycle. I find that enhanced CRA enforcement in 1998 increased the growth rate of mortgage lending by CRA-regulated banks to CRA-eligible census tracts. I show that during the boom period house price growth was higher in the eligible census tracts because of the shift in mortgage supply of regulated banks. Consequently, these census tracts experienced a worse housing bust. I find that CRA-induced mortgages were awarded to borrowers with lower FICO scores and were more frequently delinquent.
Development of sensing concrete: Principles, properties and its applications

Sensing concrete has the capability to sense its condition and environmental changes, including stress (or force), strain (or deformation), crack, damage, temperature, and humidity, by incorporating functional fillers. Sensing concrete has recently attracted major research interest aiming to produce smart infrastructures with elegantly integrated health monitoring abilities. In addition to having highly improved mechanical properties, sensing concrete has multifunctional properties, such as improved ductility, durability, resistance to impact, and, most importantly, self-health monitoring due to its electrical conductivity capability, allowing damage detection without the need for an external grid of sensors. This tutorial will provide an overview of sensing concrete, with attention to its principles, properties, and applications. It concludes with an outline of some future opportunities and challenges in the application of sensing concrete in the construction industry.Sensing concrete has the capability to sense its condition and environmental changes, including stress (or force), strain (or deformation), crack, damage, temperature, and humidity, by incorporating functional fillers. Sensing concrete has recently attracted major research interest aiming to produce smart infrastructures with elegantly integrated health monitoring abilities. In addition to having highly improved mechanical properties, sensing concrete has multifunctional properties, such as improved ductility, durability, resistance to impact, and, most importantly, self-health monitoring due to its electrical conductivity capability, allowing damage detection without the need for an external grid of sensors. This tutorial will provide an overview of sensing concrete, with attention to its principles, properties, and applications. It concludes with an outline of some future opportunities and challenges in the application of sensing concrete in the construction industry.
Advances in Doppler optical coherence tomography and angiography

Since the first demonstration of Doppler optical coherence tomography (OCT) in 1997, several functional extensions of Doppler OCT have been developed, including velocimetry, angiogram, and optical coherence elastography. These functional techniques have been widely used in research and clinical applications, particularly in ophthalmology. Here, we review the principles, representative methods, and applications of different Doppler OCT techniques, followed by discussion on the innovations, limitations, and future directions of each of these techniques.
Relationship between cognitive impairment and hypercholesterolemia in elderly patients with white matter lesions

Objective To study the relationship between cognitive impairment and hypercholesterolemia as well as the risk factors thereof in elderly patients with white matter lesions (WML). Methods A total of 347 WML patients were divided into normal cognitive group (n=86) and cognitive impairment group (n=261) according to their mini-mental state examination (MMSE) score. The general situation of the two groups was compared and the correlation of hypercholesterolemia with WML severity and cognitive function was analyzed; the risk factors of cognitive impairment in WML patients were analyzed by logistic regression analysis. Results Compared with those in normal cognitive group, the patients in cognitive impairment group were older, the plasma low-density lipoprotein (LDL) level and the proportion of male, low education level, hypertension and hypercholesterolemia were significantly higher (P<0.05), while MMSE score and the proportion of patients with a history of statins were significantly lower (P<0.05). The proportion of patients with cognitive impairment significantly increased (P=0.001), and the incidence of hypercholesterolemia also increased significantly (P=0.000) with the increasing of WML severity. The Montreal Congnitive Assessment (MoCA) score, visuospatial and executive function, attention and computing power, language and abstract ability, and delayed recall scores of patients with hypercholesterolemia were significantly lower than that of patients without hypercholesterolemia (P<0.05). Logistic regression analysis showed that low education level, hypertension, hypercholesterolemia and the higher level of plasma LDL were independent risk factors of cognitive impairment in patients with WML (P<0.05), while the history of statins use was a protective factor (P<0.05). Conclusion Hypercholesterolemia can significantly increase the risk of cognitive impairment in patients with WML, thus the WML patients with hypercholesterolemia should be focused, and various risk factors should be controlled, at the same time the fortified early intervention is necessary. DOI: 10.11855/j.issn. 0577-7402.2016. 12.08