Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors That Affect Turnover Intention of Registered Nurses in the Acute Hospital: A Meta-Analysis from 2006-2016

FACTORS THAT AFFECT TURNOVER INTENTION OF REGISTERED NURSES IN THE ACUTE HOSPITAL: A META-ANALYSIS FROM 2006-2016 Multiple complex variables influence nurse turnover. This meta-analysis examines the strength of the relationships between factors that affect turnover intent among staff registered nurses employed in the acute hospital setting in the United States. The Preferred Reporting Items for Systematic Review and MetaAnalyses (PRISMA) was used to guide the reporting of essential components of this study. Included studies were published in English between 2006-2016, reported study sample sizes, a Cronbach coefficient for the study instruments, conducted quantitative analysis and reported Pearson correlation r values. Two factors affecting turnover intention were found in the four included studies. Statistical analyses show that both organizational commitment and structural empowerment have a negative correlation with anticipated turnover. The strength of the relationship between organizational commitment and anticipated turnover is moderate (-.298). Similarly, there is a moderate (-.346) strength of the relationship between structural empowerment and anticipated turnover. The strict inclusion criteria resulted in a low number of primary studies for meta-analysis, but confirm prior knowledge. This contribution to increasing understanding of turnover intent will allow a focused approach for training and retention strategies which can be referenced when addressing issues related to nurse turnover. Helen Pagilagan May 2017 FACTORS THAT AFFECT TURNOVER INTENTION OF REGISTERED NURSES IN THE ACUTE HOSPITAL: A META-ANALYSIS FROM 2006-2016
A model-based assessment of the TrOCA approach for estimating anthropogenic carbon in the ocean

Abstract. The quantification of the amount of anthropogenic carbon (Cant) that the ocean has taken up from the atmosphere since pre-industrial times is a challenging task because of the need to deconvolute this signal from the natural, unperturbed concentration of dissolved inorganic carbon (DIC). Nonetheless, a range of techniques have been devised that perform this separation using the information implicit in other physical, biogeochemical, and man-made ocean tracers. One such method is the TrOCA approach, which belongs to a group of back-calculation techniques, but relative to other methods employs a simple parameterization for estimating the preformed, pre-industrial concentration, the key quantity needed to determine Cant. Here we examine the theoretical foundation of the TrOCA approach and test its accuracy by deconvoluting the known distribution of Cant from an ocean general circulation model (OGCM) simulation of the industrial period (1864–2004). We reveal that the TrOCA tracer reflects the air-sea exchange of both natural and anthropogenic CO2 as well as that of O2. Consequently, the determination of the anthropogenic CO2 flux component requires an accurate determination not only of the contribution of the natural (pre-industrial) CO2 flux component, but also of the O2 flux component. The TrOCA method attempts to achieve this by assuming that the concentration changes invoked by these two air-sea flux components scale with temperature and alkalinity. While observations support a strong exponential scaling of the oxygen flux component with temperature, there exists no simple relationship of the natural CO2 flux component with temperature and/or alkalinity. This raises doubts whether the sum of these two components can be adequately parameterized with a single function. The analyses of the model support this conclusion, even when Cant is deconvoluted using parameter values that were optimized on the basis of the synthetic dataset from the model. Application of an optimal, but globally uniform set of parameters for the estimation of Cant results in a global positive bias in the inventory of more than a factor of two, suggesting that a "universal" TrOCA parameterisation is not achieveable. Even the application of regionally specific sets of parameters causes, on average, a global positive bias of more than 50%. This is substantially larger than the potential positive bias of 7% identified for the ΔC* method using a similar model-based assessment method.
Are Older Adults More Willing to Donate? The Roles of Donation Form and Social Relationship

OBJECTIVES Whether older adults are more prosocial than younger adults has been under debate. In the current study, we investigated how age differences in prosocial behaviors varied across different contextual factors, that is, donation form, kinship, and social distance. METHODS To achieve this purpose, 89 younger and 66 older adults took part in a hypothetical donation task in which they were asked to donate money and time to relatives and nonrelatives at various social distances. RESULTS The results showed that, compared to younger adults, (a) older adults donated less to nonrelatives (regardless of the donation form), but donated a similar amount (in money) or even donated more (in time) to relatives; (b) older adults displayed higher levels of kin selection (favoring relatives over nonrelatives) in both monetary and time donations; and (c) older adults showed higher levels of social discounting (favoring socially close over distant others) in monetary but not time donation. DISCUSSION The study underscored the importance of contextual factors in understanding age differences in prosocial behaviors such as donation.
What Older People Like to Play: Genre Preferences and Acceptance of Casual Games

Background In recent computerized cognitive training studies, video games have emerged as a promising tool that can benefit cognitive function and well-being. Whereas most video game training studies have used first-person shooter (FPS) action video games, subsequent studies found that older adults dislike this type of game and generally prefer casual video games (CVGs), which are a subtype of video games that are easy to learn and use simple rules and interfaces. Like other video games, CVGs are organized into genres (eg, puzzle games) based on the rule-directed interaction with the game. Importantly, game genre not only influences the ease of interaction and cognitive abilities CVGs demand, but also affects whether older adults are willing to play any particular genre. To date, studies looking at how different CVG genres resonate with older adults are lacking. Objective The aim of this study was to investigate how much older adults enjoy different CVG genres and how favorably their CVG characteristics are rated. Methods A total of 16 healthy adults aged 65 years and above playtested 7 CVGs from 4 genres: casual action, puzzle, simulation, and strategy video games. Thereafter, they rated casual game preference and acceptance of casual game characteristics using 4 scales from the Core Elements of the Gaming Experience Questionnaire (CEGEQ). For this, participants rated how much they liked the game (enjoyment), understood the rules of the game (game-play), learned to manipulate the game (control), and make the game their own (ownership). Results Overall, enjoyment and acceptance of casual game characteristics was high and significantly above the midpoint of the rating scale for all CVG genres. Mixed model analyses revealed that ratings of enjoyment and casual game characteristics were significantly influenced by CVG genre. Participants’ mean enjoyment of casual puzzle games (mean 0.95 out of 1.00) was significantly higher than that for casual simulation games (mean 0.75 and 0.73). For casual game characteristics, casual puzzle and simulation games were given significantly higher game-play ratings than casual action games. Similarly, participants’ control ratings for casual puzzle games were significantly higher than that for casual action and simulation games. Finally, ownership was rated significantly higher for casual puzzle and strategy games than for casual action games. Conclusions The findings of this study show that CVGs have characteristics that are suitable and enjoyable for older adults. In addition, genre was found to influence enjoyment and ratings of CVG characteristics, indicating that puzzle games are particularly easy to understand, learn, and play, and are enjoyable. Future studies should continue exploring the potential of CVG interventions for older adults in improving cognitive function, everyday functioning, and well-being. We see particular potential for CVGs in people suffering from cognitive impairment due to dementia or brain injury.
The Transition from Childhood to Adolescence in European Children – How I.Family Extends the IDEFICS Cohort

Citation for published version (APA): Ahrens, W. , Siani, A. , Adan, R. A. H. , De Henauw, S. , Eiben, G. , Gwozdz, W. , Hebestreit, A. , Hunsberger, M. , Kaprio, J., Krogh, V. , Lissner, L. , Molnar, D. , Moreno, L. A. , Page, A. , Pico, C. , Reisch, L. A. , Smith, R. M. , Tornaritis, M. , Veidebaum, T. , . Pigeot, I. (2017). Cohort Profile: The Transition from Childhood to Adolescence in European Children – How I.Family Extends the IDEFICS Cohort . International Journal of Epidemiology, 46(5), 1394–1395j. https://doi.org/10.1093/ije/dyw317
Variability of antithrombotics use in patients with hypoplastic left heart syndrome and its variants following first- and second-stage palliation surgery: a national report using the National Pediatric Cardiology Quality Improvement Collaborative registry

Abstract Purpose Patients with hypoplastic left heart syndrome and its variants following palliation surgery are at risk for thrombosis. This study examines variability of antithrombotic practice, the incidence of interstage shunt thrombosis, and other adverse events following Stage I and Stage II palliation within the National Pediatric Cardiology Quality Improvement Collaborative registry. Methods We carried out a multicentre, retrospective review using the National Pediatric Cardiology Quality Improvement Collaborative registry including patients from 2008 to 2013 across 52 surgical sites. Antithrombotic medications used at Stage I and Stage II discharge were evaluated. Variability of antithrombotics use at the individual patient level and intersite variability, incidence of shunt thrombosis, and other adverse events such as cardiac arrest, seizure, stroke, and need for cardiac catheterisation intervention in the interstage period were identified. Antithrombotic strategies for hybrid Stage I patients were evaluated but they were excluded from the variability and outcomes analysis. Results A total of 932 Stage I and 923 Stage II patients were included in the study: 93.8% of Stage I patients were discharged on aspirin and 4% were discharged on no antithrombotics, and 77% of Stage II patients were discharged on aspirin and 17.5% were discharged on no antithrombotics. Only three patients (0.2%) presented with interstage shunt thrombosis. The majority of patients who died during interstage or required shunt dilation and/or stenting were discharged home on aspirin. Conclusion Aspirin is the most commonly used antithrombotic following Stage I and Stage II palliation. There is more variability in the choice of antithrombotics following Stage II compared with Stage I. The incidence of interstage shunt thrombosis and associated adverse events was rare.
Effectiveness of Two Web-Based Interventions for Chronic Cancer-Related Fatigue Compared to an Active Control Condition: Results of the “Fitter na kanker” Randomized Controlled Trial

Background Approximately one third of all patients who have been successfully treated for cancer suffer from chronic cancer-related fatigue (CCRF). Effective and easily accessible interventions are needed for these patients. Objective The current paper reports on the results of a 3-armed randomized controlled trial investigating the clinical effectiveness of two different guided Web-based interventions for reducing CCRF compared to an active control condition. Methods Severely fatigued cancer survivors were recruited via online and offline channels, and self-registered on an open-access website. After eligibility checks, 167 participants were randomized via an embedded automated randomization function into: (1) physiotherapist-guided Ambulant Activity Feedback (AAF) therapy encompassing the use of an accelerometer (n=62); (2) psychologist-guided Web-based mindfulness-based cognitive therapy (eMBCT; n=55); or (3) an unguided active control condition receiving psycho-educational emails (n=50). All interventions lasted nine weeks. Fatigue severity was self-assessed using the Checklist Individual Strength - Fatigue Severity subscale (primary outcome) six times from baseline (T0b) to six months (T2). Mental health was self-assessed three times using the Hospital Anxiety and Depression Scale and Positive and Negative Affect Schedule (secondary outcome). Treatment dropout was investigated. Results Multiple group latent growth curve analysis, corrected for individual time between assessments, showed that fatigue severity decreased significantly more in the AAF and eMBCT groups compared to the psycho-educational group. The analyses were checked by a researcher who was blind to allocation. Clinically relevant changes in fatigue severity were observed in 66% (41/62) of patients in AAF, 49% (27/55) of patients in eMBCT, and 12% (6/50) of patients in psycho-education. Dropout was 18% (11/62) in AAF, mainly due to technical problems and poor usability of the accelerometer, and 38% (21/55) in eMBCT, mainly due to the perceived high intensity of the program. Conclusions Both the AAF and eMBCT interventions are effective for managing fatigue severity compared to receiving psycho-educational emails. Trial Registration Trialregister.nl NTR3483; http://www.trialregister. nl/trialreg/admin/rctview.asp? TC=3483 (Archived by WebCite at http://www.webcitation.org/6NWZqon3o)
A 0.01mm2 4.6-to-5.6GHz sub-sampling type-I frequency synthesizer with −254dB FOM

Power consumption, Performance in terms of phase noise and integrated jitter, and Area (PPA) are three design metrics that have driven countless research efforts in CMOS frequency-synthesizer design. Design limitations and system-level tradeoffs have made simultaneous optimizations of PPA metrics in PLLs challenging. In traditional Type-II charge-pump (CP) based PLLs, power is consumed in the VCO, divider (N), and CP to improve noise performance, and area is consumed in large loop-filter (LF) capacitors. ADPLLs are attractive due to compact LF, but are limited in noise performance. Sub-sampling (SS) PLLs eliminate divider noise, and remove the N2 amplification of the phase detector (PD), CP, and LF noise, thereby improving the overall phase-noise performance [1]. However, their area is large due to the LF capacitors [1]. The performance of CPs and ring-VCOs in traditional or SS Type-II PLLs are also encumbered by reduced VDD in scaled CMOS processes. Overall, PLLs with ring-VCOs have higher noise [2,3], and PLLs with LC-VCOs have larger area [1]. Figure 15.6. 1 highlights the PPA tradeoffs in prior art.
Melatonin attenuates lung ischaemia-reperfusion injury via inhibition of oxidative stress and inflammation.

OBJECTIVES Lung ischaemia-reperfusion injury is a complex pathophysiological process due to the production of reactive oxygen species and the generation of inflammatory reaction. We investigated the protective effects and the corresponding mechanism of melatonin (MT), a potent free-radical scavenger, on lung injury induced by ischaemia-reperfusion in a mouse model. METHODS Adult male C57BL/6J mice (n = 30) were randomly and equally allocated into 5 groups: sham controls, IR, IR + 10 mg/kg MT, IR + 20 mg/kg MT and IR + 30 mg/kg MT. Lung ischaemia-reperfusion injury was induced by thoracotomy followed by clamping of the left hilum for 1 h and subsequent reperfusion for 2 h. RESULTS Histological scoring analysis showed that lung parenchymal damage was ameliorated in the melatonin pretreatment groups when compared with the IR group, with the IR + 20 mg/kg MT group showing the strongest effect among the melatonin pretreatment groups. Wet-to-dry weight ratio, detection of malondialdehyde, protein expressions of inflammatory factors (tumour necrosis factor-α, interleukin-1β, NF-κB and IKK-γ) and apoptotic factors (cleaved caspase-3 and Bax/Bcl-2), as well as TUNEL assay showed changes similar to those of the lung injury scores in all groups. In contrast, the examination of superoxide dismutase showed a pattern contrary to that of the lung injury score in all groups. In addition, immunohistochemistry staining showed that the expressions of the antioxidants glutathione peroxidase and glutathione reductase were increased in the melatonin pretreatment groups. CONCLUSIONS This study demonstrated that melatonin pretreatment attenuated lung ischaemia-reperfusion injury via inhibition of oxidative stress, inflammation and apoptosis.
Reuse of Implant Healing Abutments: Comparative Evaluation of the Efficacy of Two Cleaning Procedures.

PURPOSE To compare the efficacy of two systems in cleaning used healing abutments (HAs). MATERIALS AND METHODS A total of 60 used HAs were randomized into two groups: one treated with an automatic cleaning system, and the other with conventional decontamination procedures. After sterilization and staining, the HAs were microscopically analyzed and underwent a cellular adhesion in vitro assay. RESULTS Contaminated areas were observed with different frequencies in the two groups (3.6% test; 78.2% control; P < .001). In vitro assay showed a uniform cell distribution in test HAs, while areas of debris without adhering cells were a common finding in the control HAs. CONCLUSION Further studies investigating the chemical composition and clinical influence of biologic remnants are necessary before considering reusing HAs.
Cardiovascular Disease and Type 2 Diabetes Risk Across Occupational Groups and Industry in a Statewide Study of an Australian Working Population

Objective: The aim of this study was to investigate prevalence of type 2 diabetes (diabetes) and cardiovascular disease (CVD) risk in occupational and industry groups in a large, diverse working population. Methods: Five hundred thousand Victorian workers undertook health checks, including lifestyle, anthropometric, and biomedical cardiovascular risk factor assessment. Five-year diabetes (AUSDRISK) and absolute CVD risk were estimated. Results: High diabetes and CVD risk was increased in many occupational groups and industries relative to managers and Professional/Scientific/Technical Services, respectively. Significantly more blue-collar workers had high diabetes risk [males prevalence ratio (PR) 1.19 (95% confidence interval, 95% CI 1.17 to 1.20); females 1.34 (95% CI 1.30 to 1.38)], high CVD risk [males 1.45 (95% CI 1.37 to 1.53); females 1.48 (95% CI 1.17 to 1.88], and risk factors including smoking [males 2.26 (95% CI 2.22 to 2.30); females 2.20 (95% CI 2.13 to 2.27)], compared with white-collar workers. Conclusion: Targeting occupational and industry groups within sustainable workplace programs could assist in reducing chronic diseases, lowering sickness absence, and improving productivity.
Cooperative Prediction-and-Sensing-Based Spectrum Sharing in Cognitive Radio Networks

This paper proposes prediction-and-sensing-based spectrum sharing, a new spectrum-sharing model for cognitive radio networks, with a time structure for each resource block divided into a spectrum prediction-and-sensing phase and a data transmission phase. Cooperative spectrum prediction is incorporated as a sub-phase of spectrum sensing in the first phase. We investigate a joint design of transmit beamforming at the secondary base station (BS) and sensing time. The primary design goal is to maximize the sum rate of all secondary users (SUs) subject to the minimum rate requirement for all SUs, the transmit power constraint at the secondary BS, and the interference power constraints at all primary users. The original problem is difficult to solve since it is highly nonconvex. We first convert the problem into a more tractable form, then arrive at a convex program based on an inner approximation framework, and finally propose a new algorithm to successively solve this convex program. We prove that the proposed algorithm iteratively improves the objective while guaranteeing convergence at least to local optima. Simulation results demonstrate that the proposed algorithm reaches a stationary point after only a few iterations with a substantial performance improvement over existing approaches.
A meta-analysis of continuous positive airway pressure therapy in prevention of cardiovascular events in patients with obstructive sleep apnoea

Aims To assess whether continuous positive airway pressure (CPAP) therapy reduces major adverse cardiovascular events (MACE) in patients with moderate-to-severe obstructive sleep apnoea (OSA). Methods and results A total of 235 articles were recovered using MEDLINE, EMBASE and Cochrane library (inception-December 2016) and references contained in the identified articles. Seven randomized controlled trials (RCTs) were selected for final analysis. Analysis of 4268 patients demonstrated non-significant 26% relative risk reduction in MACE with CPAP [risk ratio (RR) 0.74; 95% confidence interval (CI) 0.47-1.17; P = 0.19, I2 = 48%]. A series of sensitivity analyses suggested that increased CPAP usage time yielded significant risk reduction in MACE. and stroke. Subgroup analysis revealed that CPAP adherence time ≥4 hours (h)/night reduced the risk of MACE by 57% (RR 0.43; 95% CI 0.23-0.80; P = 0.01, I2 = 0%). CPAP therapy showed no beneficial effect on myocardial infarction (MI), all-cause mortality, atrial fibrillation/flutter (AF), or heart failure (HF) (P > 0.05). CPAP had positive effect on mood and reduced the daytime sleepiness [Epworth Sleepiness Scale (ESS): mean difference (MD) -2.50, 95% CI - 3.62, -1.39; P < 0.001, I2 = 81%]. Conclusion CPAP therapy might reduce MACE and stroke among subjects with CPAP time exceeding 4 h/night. Additional randomized trials mandating adequate CPAP time adherence are required to confirm this impression.
Mobile-Edge Computing: Partial Computation Offloading Using Dynamic Voltage Scaling

The incorporation of dynamic voltage scaling technology into computation offloading offers more flexibilities for mobile edge computing. In this paper, we investigate partial computation offloading by jointly optimizing the computational speed of smart mobile device (SMD), transmit power of SMD, and offloading ratio with two system design objectives: energy consumption of SMD minimization (ECM) and latency of application execution minimization (LM). Considering the case that the SMD is served by a single cloud server, we formulate both the ECM problem and the LM problem as nonconvex problems. To tackle the ECM problem, we recast it as a convex one with the variable substitution technique and obtain its optimal solution. To address the nonconvex and nonsmooth LM problem, we propose a locally optimal algorithm with the univariate search technique. Furthermore, we extend the scenario to a multiple cloud servers system, where the SMD could offload its computation to a set of cloud servers. In this scenario, we obtain the optimal computation distribution among cloud servers in closed form for the ECM and LM problems. Finally, extensive simulations demonstrate that our proposed algorithms can significantly reduce the energy consumption and shorten the latency with respect to the existing offloading schemes.