Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Nurse Manager Transformational Leadership on Nurse and Patient Outcomes: Mediating Effects of Supportive Practice Environments, Organizational Citizenship Behaviours, Patient Safety Culture and Nurse Job Satisfaction

The Canadian Adverse Events Study (Baker, et al., 2004) revealed that the rate of adverse events in Canadian hospitals is 7.5% and almost 37% of these are preventable. Given these statistics, it is essential that healthcare organizations develop strategies and engage in leadership practices, which will address the complexity of healthcare processes and ensure that care is provided in a consistent, reliable manner in order to achieve the desired outcomes (Frankel, Gandhi & Bates, 2003). It is equally vital that leaders create supportive practice environments that promote a non-punitive culture of learning, continuous improvement, inter professional collaboration, and professional autonomy, thus engaging nurses in safe practice aimed at improving patient outcomes (Aiken, 2008; Pronovost et al., 2003). In order to understand how nursing leadership affects outcomes, it is important to assess what leadership behaviours are most effective in promoting a patient safety culture. This study tested a hypothetical model which predicted the influence of nurse manager Transformational Leadership behaviour on staff nurse perceptions of supportive practice environments, organizational citizenship behaviours, patient safety culture, job satisfaction and objective measures of selected nurse sensitive outcomes. Findings supported the hypothesized model χ2(df = 22) = 40.72, p = . 008 ; CFI = . 958; TLI = . 916; RMSEA = . 079; SRMR = . 045 linking transformational leadership to nurse and patient outcomes through supportive practice environments, organizational citizenship behaviours, safety culture and job satisfaction. Transformational Leadership had a significant indirect effect on patient falls (β = -. 08, p These results provide a unique contribution to the body of literature and understanding about the role Transformational Leadership might play in optimizing nursing practice environments and patient outcomes. Therefore it has important implications for the professional development of nurse managers and leadership curriculum design. Findings will also potentially influence strategic planning within the organization and broader policy development at a LHIN or provincial level.
Epidemiology of primary hyperoxaluria type 1

Primary hyperoxaluria type 1 (PH1) always leads to oxalate accumulation throughout the body (oxalosis). Currently available epidemiological data only concern patients with end-stage kidney disease requiring renal replacement therapy (RRT). French nephrologists have been questioned about PH1 patients who were under their care between 1988 and 1992. Exhaustive answers were obtained and 90 cases of PH1 were collected. The average prevalence rate of PH1 was 1.05/10(6) and its average incidence rate was 0.12/10(6)/year. The median age at onset was 5 years (0-63) and initial symptoms involved the urinary tract in 82% of the cases. Half the patients were younger than 10 years at the time of diagnosis on the basis of urine oxalate (89%) +/- urine glycolate (43%) +/- plasma oxalate (71%) +/- hepatic alanine:glyoxylate amino-transferase activity (48%). At the time of the survey, 36% of patients were on a conservative treatment, 37% were transplanted and 27% were on maintenance haemodialysis; the crude mortality rate was 19% (median age 36 years). Patients on dialysis started RRT at a median age of 25 years. Transplanted patients received their first transplant at a median age of 29.5 years; among those patients with more than 1 year follow-up, 15 received an isolated kidney transplant (one success), one had a isolated liver transplant (one success) and 10 combined liver-kidney transplant (eight successes). These data confirm the rarity of PH1 together with its poor prognosis; as shown in the European experience, early combined liver-kidney transplantation seems to be the best therapeutic proposal.
Economic Imperialism

One of the salient trends in the social sciences in recent years has been economics' colonialism of other social sciences. At the outset of the present article a widespread thesis considering economics to be the "queen" of all social sciences is presented and some epistemic reasons cited on its behalf critically evaluated. The bulk of the body of the paper is devoted to an in-depth analysis of two influential theories epitomising the aformentioned paradigm: George C. Homan' theory of social exchange was the precursor to most now current rational choice approaches. To an even grater extent, the tendency toward transferring concepts and laws of economics onto the various non-economic areas of social life has been from the very outset present in the theory of economic behaviour developed by the Nobel winner, Gary Becker. Both above-mentioned approaches are grounded in the notion of economic man, which prompts a more comprehensive examination of this concept of rational utility maximiser being postulated as the underlying foundation for not only economics but also for other social sciences. The upshot of that analysis is not encouraging; neither of the components to to the notion of homo economicus can withstand critical scrutiny. More broadly, the same refers to the entire idea of economics as purportedly core or root social science from which all others should be derived or at least borrow their concepts, propositions and approaches. In the light of our critical analysis, economic or economics imperialism should be discarded once for all.
SERVICE RECOMMENDATION METHOD FOR DIVERSE USER PREFERENCES BY EXAMINING REVIEWS IN HADOOP

Nowadaysdata about products, suppliers and consumer experiences on products have been exploding in consumer world in the form of reviews. In order to make use of data, Service recommendation method can be used to extract useful information to the consumer and also to categorize products based on customer preferences.Services are usually recommended based on past user experiences and products are ranked based on ratings from user.In the proposed system, services are recommended based on diverse user preferences by examining the positive and negative aspects in review using valence and arousal algorithm. Initially the review in the form of CSV file is tagged, noun and verb are extracted. Hadoop, a distributed and parallel computing platform is employed for processing the CSV file. Keywords—Service recommendation, Hadoop, MapReduce, Valence and arousal.
Chapter 8 Entangled Proteins : Knots , Slipknots , Links , and Lassos

In recent years the studies of entangled proteins have grown into thewhole new, interdisciplinary and rapidly developing field of research. Here we present various types of entangled proteins studied within this field, which form knots, slipknots, links, and lassos.Wediscuss their geometric features and indicatewhat biological and physical role the entanglement plays. We also discuss mathematical tools necessary to analyze such structures and present databases and servers assembling information about entangled proteins: KnotProt, LinkProt, and LassoProt.
RETRACTED: Realization of Virtual Human Face Based on Deep Convolutional Generative Adversarial Networks

Short Retraction Notice The authors claim that this paper needs modifications. This article has been retracted to straighten the academic record. In making this decision the Editorial Board follows COPE's Retraction Guidelines. The aim is to promote the circulation of scientific research by offering an ideal research publication platform with due consideration of internationally accepted standards on publication ethics. The Editorial Board would like to extend its sincere apologies for any inconvenience this retraction may have caused. Editor guiding this retraction: Prof. Baozong Yuan(EiC of JSIP) The full retraction notice in PDF is preceding the original paper, which is marked "RETRACTED".
Randomized Trial The Associations Between Cognitive Dysfunction , Stress Biomarkers , and Administered Anesthesia Type in Total Knee Arthroplasties : Prospective , Randomized Trial

Methods: A total of 112 patients were assessed for eligibility, and a total of 57 patients completed the study. We divided the patients into general and regional anesthesia groups. Blood samples were obtained preoperatively at the first intraoperative, the third and the 24th postoperative hour. C-reactive protein (CRP), cortisol, insulin, and blood glucose levels were tested. We used 4 neurocognitive tests that were administered 1 day before operation, 7 days and 30 days after operation. Main outcome measures were neurocognitive tests scores for regional anesthesia without sedation and general anesthesia groups. Cortisol, glucose, insulin, and CRP levels.
Worth the Fight? The Role of Internal Competition on New CEOs’ Compensation

Using a comprehensive sample of CEO turnovers with internal successions at S&P 1500 firms, we evaluate CEO compensation by investigating how internal competition for the CEO position influences new CEOs’ compensation. Although competitively selected CEO candidates expect a significant pay raise post promotion, this expectation is not realized. These new CEOs are compensated significantly less than departing CEOs. In addition to lower pay, CEOs hired through more competitive selection processes are associated with worse performance and shorter tenure. Our findings suggest competition for the CEO position influences compensation, as well as firm outcomes. These findings have important implications for CEO succession planning, compensation setting, and labor markets. EFM Classification: 190; 150;
A Study of Consonant Clusters in an EFL Context

The objective of the present study was to provide answers to the questions whether Persian learners of English would have the same number of vowel insertions in the initial and final consonant clusters and also to see if the phonological system of the Persian students' mother tongue would have any effect on their learning of the pronunciation of the initial and final consonant clusters. To this end, sixty female intermediate EFL learners were administered a pronunciation test. The analysis of the participants' performances in the test showed that the number of vowel insertions they had in the initial consonant clusters was not the same as that of final consonant clusters, and using a chi square displayed that the problem of vowel insertion was found to be much more severe with initial consonant clusters as the participants highly added vowels to such clusters. Furthermore, it was found that Persian language's syllable structure does really affect the learning of consonant clusters (i.e. transfer from mother tongue).
Moderating Effect of Emotional Appeal in Advertising of Food Products : An Empirical Study on Millennials in India 138

India is one of the fastest growing economy which has large youth population. The consumerism is increasing with purchasing power parity and therefore marketers want to take its advantage. In recent times, lot of International Brands are fighting and lobbying to get into the Indian market. As the number of brands is being added every day, the consumers get confused what to buy? Consumer loyalty is decreasing; so it becomes imperative for a brand to stand apart in the crowd every time to attract customer in this competitive market. The onus comes to advertising, as they very well know that they can't fight much on product and prices but on emotions of the consumers. Also, time and again many researches have proven that emotion is the crucial mediator in deciding upon the attitude and purchase decision of the product. In this study we have studied the impact of emotional advertising on the purchase of packaged food by young population of India. Young population is called as Millennials (people born between 1982-2000) and have different emotional personality traits than their older generation, so it is important to study impact of emotional advertising on them in the era of Smart marketing using smart devices. Moreover, in this era people have also become equipped and smart with smart devices, they are always bombarded with lots of information and content, but marketers being smarter have been using that space also to influence emotions of consumers through emotional advertising. In this study data is collected through structured questionnaire, on the basis of selfreporting through recall and tell (video ads), from millennials of India who belongs to different social class & income group, different educational background. Data is analysed by using T-test, Mann Whitney and ANOVA using SPSS.
N ov 2 00 1 A simple model of price formation

A simple Ising spin model which can describe the mechanism of price formation in financial markets is proposed. In contrast to other agent-based models, the influence does not flow inward from the surrounding neighbors to the center site, but spreads outward from the center to the neighbors. The model thus describes the spread of opinions among traders. It is shown via standard Monte Carlo simulations that very simple rules lead to dynamics that duplicate those of asset prices.
The Asymmetric Effects of Exchange Rates on the US Tourism Balances in the NAFTA Countries : An Application of The Nonlinear ARDL Approach

This study primarily aims to investigate the effects of real exchange rate changes between the USDMexican Peso (MXN) and the USD-Canadian Dollar (CAD) on the US tourism balances bilaterally over the period 1996M1–2016M6. To this aim, we apply both linear and nonlinear ARDL cointegration approaches. The nonlinear ARDL approach, developed by Shin et al. (2014), allows us to examine the separate effects of both depreciations and appreciations in the USD on the US tourism balances. In this respect, this study is the first attempt at applying the nonlinear ARDL cointegration approach to a tourism demand model. The empirical findings indicate that Mexican and Canadian tourists positively respond to depreciations in the USD against the MXN and CAD and thereby improve the US tourism balances bilaterally with these two countries. Additionally, the nonlinear ARDL approach reveals that while depreciations and appreciations in the USD have different (asymmetric) effects on the US tourism balances with Mexico, the same changes in the USD have symmetric effects on these balances with Canada. As a secondary aim, this empirical study also tries to draw attention to the US tourism balances with these two NAFTA countries.
3 An Approach Based on Granular Computing to Personalize Linguistic Information

In group decision making, the usage of linguistic information entails the requirement for computing with words, a methodology in which words from a natural language are the computational elements. Recently, a new approach based on a framework of granular computing has been applied to cope with linguistic information. Its advantage is that the distribution and the semantics of the linguistic values that represent the words, in place of being defined a priori, are established as defined by the optimization of a given optimization criterion. Once they have been obtained, the distribution and the semantics of the linguistic values are the same for all de decision makers involved in the decision problem. However, as a word means a different thing to different people, we present in this contribution a new approach that is able to obtain personalized linguistic values.
Chapter 13 Drosophila : A Model for Studying Prostaglandin Signaling

Prostaglandin (PG) synthesis and signaling are conserved in Drosophila melanogaster . PGs are produced downstream of cyclooxygenase or COX enzymes, the targets of nonsteroidal anti-infl ammatory drugs. Almost 20 years ago, biochemical studies suggested that Drosophila possess COX activity. Recent efforts utilizing a combination of pharmacological and genetic approaches revealed that PGs have critical functions in Drosophila oogenesis or follicle development. Pxt was identifi ed as the COX-like enzyme and is required for multiple aspects of female fertility, including temporal regulation of both gene expression and actin cytoskeletal remodeling. Here we review the PG synthesis and signaling machinery, the evidence for PG activity in Drosophila , the roles of PGs in fl ies, primarily focused on oogenic activities, and the conservation of PG function in higher animals. We also point out how studies on PGs in a genetic model system, such as fl ies, can signifi cantly advance our understanding of the molecular actions of PGs.
Multicast as a traffic variance smoother for IP streaming service

Live streaming service is expected to be popular in future IP networks. However, since the traffic generated by this service has a large bandwidth that varies unpredictably, it is very likely to bring about network congestion. This paper clarifies that the intractability of stream distribution traffic is effectively reduced by multicast techniques. The paper focuses on one multicast implementation technique and executes a computer simulation to verify its effectiveness. The simulation results show that the technique successfully decreases the traffic volume and variance for several traffic-change scenarios. It is also shown that traffic burstiness is, as measured by self-similarity, smoothed by multicast. All these characteristics confirm that the multicast technique effectively avoids the congestion possibilities associated with IP streaming services.
Reducing Data Movement and Energy in Multilevel Cache Hierarchies without Losing Performance: Can you have it all?

Optimizing a multilayer cache hierarchy involves a careful balance of data placement, replacement, promotion, bypassing, prefetching, etc. to capture the various properties of access streams. Often getting good performance involves aggressively orchestrating the movement of the data to be available at the appropriate layers of the cache hierarchy at appropriate times. However, it has been popularly recognized that aggressive movement of data results in high energy consumption. State-of-the-art caching policies such as Hawkeye and MPPPB yield excellent performance but incur more data movement compared to policies such as CHAR, and Flexclusion. Considering the energy cost of data movement, we architect a FILtered Multilevel (FILM) caching policy, which yields good performance with reduced levels of data movement. It achieves this by identifying appropriate cache layers for each block of data using a bloom filter and table based predictors. The bloom filter helps to overcome the challenges associated with capturing PC-based information in exclusive caches in an efficient manner. When there is free space in the bypassed cache layer, FILM overrides the initial prediction and allows cache block installation into the cache level achieving more low latency hits. FILM also incorporates an explicit mechanism for handling prefetches, which allows it to train differently for data from demand requests versus prefetch requests. By incorporating quick detection and correction of stale/incorrect bypass decisions, FILM significantly reduces cache block installations and data movement, resulting in up to 10% reduction in dynamic energy at the LLC and DRAM compared with Hawkeye EX or MPPPB EX. Considering energy-delay product as a metric, FILM is 10%, 11%, and 5% better than Hawkeye EX, MPPPB EX, and CHAR respectively.
NETHCF: Enabling Line-rate and Adaptive Spoofed IP Traffic Filtering

In this paper, we design NETHCF, a line-rate in-network system for filtering spoofed traffic. NETHCF leverages the opportunity provided by programmable switches to design a novel defense against spoofed IP traffic, and it is highly efficient and adaptive. One key challenge stems from the restrictions of the computational model and memory resources of programmable switches. We address this by decomposing the HCF system into two complementary components—one component for the data plane and another for the control plane. We also aggregate the IP-to-Hop-Count (IP2HC) mapping table for efficient memory usage, and design adaptive mechanisms to handle end-to-end routing changes, IP popularity changes, and network activity dynamics. We have built a prototype on a hardware Tofino switch, and our evaluation demonstrates that NETHCF can achieve line-rate and adaptive traffic filtering with low overheads.
Improving the Effectiveness of Information Retrieval System

With the rapid growth of information and easy access of information, in particular the boom of the World Wide Web, the problem of finding useful information and knowledge becomes one of the most important topics in information and computer science. Information Retrieval (IR) systems, also called text retrieval systems, facilitate users to retrieve information which is relevant or close to their information needs. This research provides an effective IR system for retrieving not only relevant but also related documents. For retrieving relevant documents, Probabilistic Model is applied. For retrieving related documents, the related indexed table is built including extracted keywords and related documents lists. In constructing related index table in the database, Shannon’s entropy difference between intrinsic and extrinsic mode is used to extract the highly significant keywords. Entropy threshold value was assigned to 0.5 of normalized entropy difference square ( ) according to the analytical results. The proposed keyword similarity distance (KSD) function is used to calculate similarity and relations between document pair. The proposed system is implemented by using PHP programming language and MySQL database. The performance of this approach is evaluated by using standard IR metric such as Precision (P), Recall (R), F-measure (F) and Average Precision (AP) on three test datasets (Oshumed, CISI and CRAN). According to the experimental results, the performance of the proposed system using related index table is more effective than the traditional probabilistic model.
INCREASING THE EFFICIENCY OF CRYOGENIC AUTOMOBILE POWER SYSTEMS USING THERMOELECTRIC GENERATORS

ISSN 0131–2928. Пробл. машиностроения, 2011, Т. 14, No 5 47 УДК 537.322 M. J. Traum, Ph. D I. N. Kudryavtsev, Ph. D M. C. Plummer, Ph. D * Milwaukee School of Engineering (Milwaukee, WI, USA) ** School of Physics and Energy, V. N. Karazin Kharkiv National University, (Kharkiv, Ukraine, e-mail: kudryavtsev@univer.kharkov.ua) *** Department of Engineering Technology, University of North Texas (Denton, TX, USA, e-mail: mplummer@ent.edu)
Recurrency-Free Question Answering with Unanswerable Questions

We implement the QANet model for question answering proposed by Yu et al. and adapt it for the SQuAD 2.0 dataset. We propose a verifier architecture for use with the QANet model to improve its performance on the unanswerable questions introduced by SQuAD 2.0. Additionally, we improve upon the baseline Bidirectional Attention Flow (BiDAF) model to achieve an EM score of 60.473 and an F1 score of 64.201 on the test set.