Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing family-centred care in a neonatal intensive care unit: an action research study protocol.

AIM The aim of this study was to develop, implement and evaluate evidence-based family-centred interventions and to promote parental involvement in the care of infants in neonatal intensive care. BACKGROUND Parental involvement in the care of their infants in Neonatal Intensive Care Units leads to improved neonatal outcomes. Although research identifies the benefits of individual interventions to promote family-centred care, little is known about how they might be implemented in everyday practice. DESIGN Participatory action research. METHODS Funding commenced in January 2015. The study comprises three phases: (i) Exploration: Baseline measures of staff and parental satisfaction with care and parental stress will be obtained using validated survey instruments. Baseline infant data includes breast feeding and skin-to-skin contact. Staff focus groups and interviews will provide insight into the context of parental involvement and perceived barriers to change. Parent focus groups and diaries will provide insight into factors influencing parental involvement in care. The data will inform the development of the evidence-based intervention; (ii) INTERVENTION Three action research cycles and ongoing data collection from parents and staff will inform the further development of the intervention and change process; (iii) EVALUATION Baseline measures will be repeated to identify changes. Focus groups and interviews with staff and parents will provide insight into their perceptions of the success of the initiative in promoting family-centred care. DISCUSSION This study will contribute new knowledge about approaches to actively involve parents in the care of their infant on neonatal intensive care units. Greater understanding of the impact of family-centre care on staff and parents will be gained with the potential to inform future policy and practice.
Tobacco Transcription Factor TGA2.2 Is the Main Component of as-1-binding Factor ASF-1 and Is Involved in Salicylic Acid- and Auxin-inducible Expression of as-1-containing Target Promoters*

In higher plants, activating sequence-1 (as-1) of the cauliflower mosaic virus 35 S promoter mediates both salicylic acid (SA)- and auxin-inducible transcriptional activation. Originally found in promoters of several viral and bacterial plant pathogens, as-1-like elements are also functional elements of plant promoters activated in the course of a defense response upon pathogen attack. Nuclear as -1-binding factor (ASF-1) and cellular salicylic acid responseprotein (SARP) bind specifically to as-1. Four different tobacco bZIP transcription factors (TGA1a, PG13, TGA2.1, and TGA2.2) are potential components of either ASF-1 or SARP. Here we show that ASF-1 and SARP are very similar in their composition. TGA2.2 is a major component of either complex, as shown by supershift analysis and Western blot analysis of DNA affinity-purified SARP. Minor amounts of a protein immunologically related to TGA2.1 were detected, whereas TGA1a was not detectable. Overexpression of either TGA2.2 or a dominant negative TGA2.2 mutant affected both SA and auxin (2,4D) inducibility of various target promoters encoding as-1-like elements, albeit to different extents. This indicates that TGA2.2 is a component of the enhancosome assembling on these target promoters, both under elevated SA and 2,4D concentrations. However, the effect of altered TGA2.2 levels on gene expression was more pronounced upon SA treatment than upon 2,4D treatment.
A recommendation algorithm using multi-level association rules

Recommendation systems predict user's preference to suggest items. Collaborative filtering is the most popular method in implementing a recommendation system. The collaborative filtering method computes similarities between users based on each user's known preference, and recommends the items preferred by similar users. Although the collaborative filtering method generally shows good performance, it suffers from two major problems - data sparseness and scalability. We present a model-based recommendation algorithm that uses multilevel association rules to alleviate those problems. In this algorithm, we build a model for preference prediction by using association rule mining. Multilevel association rules are used to compute preferences for items. The experimental results show that applying multilevel association rules is effective, and performance of the algorithm is improved compared with the collaborative filtering method in terms of the recall and the computation time.
Low-Complexity Likelihood Information Generation for Spatial-Multiplexing MIMO Signal Detection

Signal detection algorithms providing likelihood information for coded spatial-multiplexing multiple-input-multiple-output (MIMO) wireless communication systems pose a critical design challenge due to their prohibitively high computational complexity. In this paper, we present a low-complexity soft-output detection algorithm by adopting four implementation-friendly algorithm-level improvements to the fixed-complexity sphere decoder. More specifically, we introduce a reliability-dependent tree expansion approach and an on-demand list-size reduction scheme for low-cost candidate list generation. In terms of performance improvement, we apply an early bit-flipping strategy and utilize the l1-norm distance representation. The algorithm is evaluated by computer simulations performed over Rayleigh flat fading channels and computational complexity analysis. Compared with the soft-output K-Best algorithm, the proposed algorithm saves at least 60% of the computations for detecting 4 × 4 64-quadrature amplitude modulation (QAM) MIMO signal and, at the same time, provides better detection performance, making it a promising detection scheme for real-life hardware implementation.
Alterations in the antioxidant profile in patients with colorectal carcinoma

The present study was carried out in the patients diagnosed with the colorectal cancer and is about to get the treatment. Age and gender matched controls were also included in the study. The blood samples were collected and the biochemical parameters like Total antioxidant activity, lipid peroxidation, Glutathione, Vitamin E, Vitamin C and catalase were estimated. The significant decreased levels of total antioxidant activity, increased lipid peroxidation levels, decreased levels of glutathione, catalase, vitamin E and vitamin C were observed in the colorectal cancer subjects when compared with the control subjects. It is evident from the present study that oxidative stress plays an important role in the advancement of colorectal cancer and might be an additional parameter in the pathology of cancer progression.
Short-term load forecasting for educational buildings with temperature correlation

To obtain a precise short-term load forecast for an education institute, the correlation between its electric demands and temperatures needs to be analyzed because electric demand is sensitive to temperature changes. With the aim of developing an improved short-term load forecasting algorithm for an arbitrary education institute, fluctuations in the daily, weekly, and yearly load patterns of a university campus in Seoul were analyzed and correlated with temperature trends during the respective periods. The data were then compared with past load patterns. An optimal exponential smoothing coefficient according to the selected period was used for the building load forecasts. The estimated optimal exponential smoothing coefficient derived for each selected period was then compared with past load patterns. The proposed algorithm was verified by simulation of the electric demands of the campus in 2011. The test results show that the forecasting accuracy of the proposed algorithm is improved comparing with traditional exponential smoothing analysis.
Anti-inflammatory and antinociceptive activities A of eugenol essential oil in experimental animal models

Eugenia caryophyllata, popularmente conhecida como "cravo-da-india", cresce naturalmente na Indonesia e e cultivada em varias partes do mundo, incluindo o Brasil. O cravo-da-india e utilizado em culinaria, em farmacia, perfumaria e cosmeticos. O oleo essencial extraido do cravo-da-india cujo principal componente e o eugenol tem sido utilizado em odontologia como anti-septico e analgesico. O objetivo deste estudo foi avaliar as atividades antiinflamatoria e antinociceptiva do eugenol de uso odontologico, administrado oralmente, em modelos experimentais in vivo. A atividade antiinflamatoria do eugenol foi avaliada atraves do volume de exsudato e migracao leucocitaria no teste de pleurisia e do edema de pata de rato induzido pela carragenina. A atividade antinociceptiva foi avaliada atraves dos testes de contorcoes induzidas pelo acido acetico e da placa quente. O eugenol (200 e 400 mg/kg) reduziu o volume de exsudato pleural sem interferir na contagem de leucocitos totais presentes na pleura. Na dose de 200 mg/kg, o eugenol inibiu significativamente o edema de pata, 2-4 h apos a injecao do agente flogistico. No teste da placa quente, a administracao do eugenol (100 mg/kg) mostrou atividade significativa a reacao de desconforto-tempo dependente, avaliada como a latencia da resposta, inibida pela meperidina. Eugenol na doses de 50, 75 e 100 mg/kg apresentou efeito antinociceptivo significativo no teste de contorcoes abdominais induzidas pelo acido acetico em comparacao com o grupo controle. Os dados obtidos indicam que o eugenol apresenta atividade antiinflamatoria e antinociceptiva periferica.
An investigation of the factors affecting handwriting performance in children with hemiplegic cerebral palsy

Purpose. This study investigated the effects of sensory – perceptual – motor and cognitive functions on handwriting performance in primary-school children with left-hemiplegic cerebral palsy, compared with that of their healthy peers. Methods. The study included 26 children aged 8 – 12 years with left-hemiplegic cerebral palsy and 32 typically developing children of similar age with dominant right hand. The Minnesota Handwriting Assessment was used to evaluate handwriting ability. The Bruininks – Oseretsky Test of Motor Proficiency was used to assess motor performance. Cognitive function was assessed by the Loewenstein Occupational Therapy Cognitive Assessment. The Ayres Southern California Sensory Integration Tests were used to assess visual perception, kinaesthesia, and graphesthesia. Results. Statistically significant differences were found between the two groups in sensory-perceptual-motor and cognitive function and in handwriting ability (p < 0.05). There were also significant correlations between handwriting parameters and upper-extremity speed and dexterity, proprioception, bilateral coordination, visual and spatial perception and, visual-motor organisation in children with cerebral palsy (p < 0.05). Conclusions. The results showed that left-hemiplegic children with cerebral palsy whose right sides were dominant were significantly less competent at handwriting than their right-dominant, healthy peers. It was found that the impairment in proprioception seen in the non-hemiplegic side in children with cerebral palsy, and also the impairment in bilateral coordination, speed and dexterity of the upper extremities, visual and spatial perception, visual-motor organization, and tactile-sensory impairments negatively affected their handwriting skills. In the treatment approaches for children with hemiplegic cerebral palsy, comprehensive sensory – perceptual – motor assessments that involve both extremities must be performed in detail at the earliest possible stage, in order to minimize the existing problems with early-treatment policies. Developing the sensory – perceptual – motor and cognitive function of hemiplegic children would thus be possible, and they would be able to adapt to the same primary-school curriculum as their healthy peers.
Numbers of Salmonella enteritidis in the contents of naturally contaminated hens' eggs

SUMMARY Over 5700 hens eggs from 15 flocks naturally infected with Salmonella enteritidis were examined individually for the presence of the organism in either egg contents or on shells. Thirty-two eggs (0·6%) were positive in the contents. In the majority, levels of contamination were low. Three eggs, however, were found to contain many thousands of cells. In eggs where it was possible to identify the site of contamination, the albumen was more frequently positive than the yolk. Storage at room temperature had no significant effect on the prevalence of salmonella-positive eggs but those held for more than 21 days were more likely (P < 0·01) to be heavily contaminated. In batches of eggs where both shells and contents were examined, 1·1% were positive on the former site and 0·9% in the latter.
Effect of Early Corticosteroid Therapy for Landau‐Kleffner Syndrome

Four children treated for seizures between 1980 and 1986 were diagnosed as having Landau‐Kleffner syndrome (acquired aphasia with convulsive disorder), following the onset of aphasia. They received early and prolonged ACTH or corticosteroid therapy, with high initial doses. In all four cases the EEG promptly became normal, with subsequent long‐lasting remission of the aphasia and improvement of seizure control. Three to six years after discontinuation of hormone therapy the children are off medication and free from seizures and language disability.
The effect of electronic customer relationship on customer satisfaction a study in web banking in Saudi Arabia

E-CRM emerges from the Internet and web technology to facilitate the implementation of CRM; it focuses on Internet or web-based interaction between banks and their customers. In particular, E-CRM enables banks to provide appropriate service and products to satisfy the customer and enhance customer loyalty, Furthermore, E-CRM features are vital for managing customer relationships online. They are generally referred to as concrete website functionality or tools and they are required for customizing, personalizing and interacting with the customer. Without E-CRM features, CRM could not be realized on the Internet. In fact, in the literature, there appears to be an absence of theoretical model for effects of E CRM features on customer satisfaction in general, and E-CRM features affect service quality, which in turn leads to customer satisfaction in particular. Consequently, this research attempts to fill the information gap. The aim of this thesis was to examine the effect of various E-CRM features at the different stages of transaction cycle (pre-transaction, during-transaction, and post-transaction) on customer satisfaction on banks websites in Saudi Arabia. Six basic hypotheses were tested, as parts of a theoretical model of these E-CRM features against seven service quality dimensions selected from the SERVQUAL instrument and discussed in detail in Chapter (3). Data was collected through a questionnaire which was administered in the Western Region (Jeddah) of Saudi Arabia in April/May 2010. The empirical analysis was carried out using a structural equation model. The results form of this research indicate that the use of E-CRM in building customer relationships effects online customer satisfaction and service quality. The efficiency of E-CRM program determine the level of which online features, such as site customization, membership, site information, privacy, security, product or service customization, alternative payment and frequently asked questions would be implemented on banks’ websites. This research contributes to knowledge in several ways. Most importantly, it illustrates the roles of E-CRM features in enhancing service quality and customer satisfaction at different stage of transaction cycle. In particular, this research highlight the critical dimensions of service quality, which managers in the banking sector should invest in their customer satisfaction strategies.
Country Risk and International Portfolio Diversification

The purpose of the paper is to find out if the pricing of international loans can be explained by the Capital Asset Pricing Model. An empirical test that includes a set of 33 developing countries during the period 1971-1984 is undertaken. The data also permits a calculation of expected returns using a non-linear probit model to identify the probabilities of default. The results suggest that a certain degree of diversification holds, while non-diversifiable systematic risk contributes to the explanation of market risk premiums. However, the CAPM model cannot fully account for the variation in the observed risk premia. Other factors may also contribute to the pricing of loans. In particular, the absence of secondary markets during the estimation period may explain the divergence of actual behavior from that implied by the CAPM framework.
Corporate venturing en de concurrentieomgeving: Bestendiging of verstoring van de marktdynamiek?

In dit artikel staat de vraag centraal hoe corporate venturing de dynamiek beinvloedt in de concurrentieomgeving. Hiertoe is een raamwerk ontwikkeld waarin de verschillende typen corporate ventures gerelateerd worden aan de product- en factormarktdynamiek van de onderneming. Het raamwerk laat zien dat ondernemingen twee strategieen kunnen volgen wat betreft corporate venturing. Ten eerste, kiezen voor typen corporate ventures waarbij de huidige marktdynamiek in stand blijft (bestendiging). Ten tweede, kiezen voor typen ventures waarbij de bestaande marktdynamiek sterk toeneemt (verstoring). Het raamwerk verschaft managers inzicht in de gevolgen van corporate venturing voor de concurrentieomgeving. Een vergroting van de marktdynamiek vraagt om een ander, meer flexibel type organisatie. Een beknopte casestudie naar venture strategieen van de Rabobank en de ING illustreert de toegevoegde waarde van het ontwikkelde raamwerk.
Developing a knowledge management platform for automotive build-to-order production network

Modern global companies have to build a supply chain network strategy that provides maximum flexibility and can optimally respond to changes in their environment. The emergence of automotive build-to-order production networks is one of the consequences of these changes in the automotive industry. Production networks can be seen as a step beyond the linear supply chain topography. However, when dealing with multiple organizations and multiple processes within a complicated production network, identifying and locating a member that has responsibility and/or competence in a particular part of the network can be a laborious, time-consuming process. Developing and maintaining a competence directory of all the relevant parties associated with troubleshooting and potential problem solving can significantly reduce the production lead time. Moreover, linking this directory to key decision points and frequent problems can further enhance its effectiveness. Consequently, the problem of semantic interoperability between members of such organizations is of major importance. This paper proposes an approach to developing a knowledge management platform for a build-to-order production network to solve the above problem. The approach is based on application of such technologies as ontology management, context management and profiling.
Transition from stress sensitivity to a depressive state: longitudinal twin study

Background Daily-life stress sensitivity is associated with depression, but prospective data are lacking. Aims To examine associations between baseline ecological daily-life stress sensitivity and later depression, and to identify genetic and non-genetic factors moderating the transition from stress sensitivity to depression. Method Daily-life stress sensitivity was assessed at baseline in twins (n = 502). One baseline and four follow-up measurements of depressive symptoms and negative life events were collected, as well as interview-based diagnoses at baseline and last follow-up. Hypothesised genetic markers were determined. Results Baseline stress sensitivity was associated with increased depressive symptoms at follow-up and risk of major depressive disorder. Both genetic liability and major life events moderated the probability of transition from stress sensitivity to depression. Conclusions Onset of depression is attributable to pre-onset ecological measurements of stress sensitivity, particularly where genetic liability is high and individuals have reached a stage where the influence of competing environmental causes is low.
DIABETIC STUDIES The Review of Immunotherapy in Autoimmune Type 1 Diabetes

1 Research Campus of the Friedrich-Alexander University Erlangen-Nuernberg, Medical Clinic I, 91052 Erlangen, Germany. 2 Helmholtz Zentrum Muenchen German Center for Environmental Health, Institute of Diabetes Research 1, Junior Group Immunological Tolerance in Type 1 Diabetes, Ingolstaedter Landstrasse 1, Neuherberg, 85764 Muenchen, Germany. Address correspondence to: Carolin Daniel, Helmholtz Zentrum Muenchen, German Center for Environmental Health, Head Junior Group Immunological Tolerance in Type 1 Diabetes, Institute of Diabetes Research 1, Ingolstaedter Landstrasse 1, Neuherberg, 85764 Muenchen, Germany, e-mail: carolin.daniel@helmholtz-muenchen.de
Large Arrays and Properties of 3‐Terminal Graphene Nanoelectromechanical Switches

Large arrays of 3-terminal nanoelectromechanical graphene switches are fabricated. The switch is designed with a novel geometry that leads to low actuation voltages and improved mechanical integrity, while reducing adhesion forces, which improves the reliability of the switch. A finite element model including non-linear electromechanics is used to simulate the switching behavior and to deduce a scaling relation between the switching voltage and device dimensions.
Design of a layer-based video streaming system over software-defined networks

Software Defined Networking (SDN) technology provides flexibility in routing of flows by separating data and control plane of computer networks. In addition to that, realtime traffic information can be inferred by using SDN. The advantages offered by SDN technology can be utilized to enhance the performance of network applications such as video streaming systems. In this paper, we propose a layered video streaming system to provide an increase in the performance achieved by video streaming clients running in an SDN domain. SDN controller runs an optimization algorithm that determines optimal video codec type and the number of layers based on the network conditions. Hence, the clients are directed to select appropriate video codec under the constraint of measured network conditions by SDN controller. We tested the performance of the proposed system by comparing with different approaches. The simulation results show that the performance of the proposed system outperforms the traditional best effort approach.