bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perception of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement of authors publishing reviews in nursing journals: a cross-sectional online survey
Authors: Tam Wilson W S , Tang Arthur , Woo Brigitte , Goh Shawn Y S 
Published: April 2019

ObjectiveThe Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement has been developed as a guideline for reporting systematic reviews and meta-analyses. Despite the prevalent use of the PRISMA statement in medicine and nursing, no studies have examined authors’ perception of it. The purpose of this study is to explore the perception of the PRISMA statement of authors who published reviews, meta-analyses, or both in nursing journals.DesignCross-sectional descriptive study.MethodsAn online survey was conducted among authors who published reviews, meta-analyses, or both in nursing journals between 2011 and 2017. The selected authors’ email addresses were extracted from the PUBMED database. A questionnaire—with a 10-point Likert scale (1—not important at allto 10—very important)—was developed to elicit their responses regarding their perception of not only the PRISMA statement as a whole, but also the individual items therein.ResultsInvitations were sent to 1960 valid email addresses identified, with 230 responses (response rate: 11.7%) and 181 completed responses (completion rate: 9.2%). The average perceived importance of the PRISMA statement was 8.66 (SD=1.35), while the perceived importance for the individual items ranged from 7.74 to 9.32. Six items were rated significantly higher than the average rating, whereas one item was rated significantly lower.ConclusionMost respondents perceived the PRISMA statement as important. Items related to information sources, selection, search-flow presentation, summary of findings, limitations and interpretation were deemed more important while the registration was deemed less so.
Randomised controlled trial of simulation-based education for mechanical cardiopulmonary resuscitation training
Authors: Coggins Andrew R , Nottingham Cameron , Byth Karen , Ho Kevin R , Aulia Felicia A , Murphy Margaret , Shetty Amith L , Todd Anna , Moore Nathan 
Published: April 2019

IntroductionMechanical cardiopulmonary resuscitation (M-CPR) is increasingly used in the management of cardiac arrest. There are no previously reported randomised studies investigating M-CPR training. This study of newly trained M-CPR providers hypothesised that a brief simulation-based intervention after 4 months would improve M-CPR performance at 6 months.MethodsThis study used a simulated ‘in situ’ cardiac arrest model. The M-CPR device used was a proprietary Lund University Cardiac Assist System 3 machine (Physio Control, Redmond, Washington, USA). Standardised baseline training was provided to all participants. Following training, baseline performance was assessed. The primary outcome measure was the time taken to initiate M-CPR and the secondary outcome was performance against a checklist of errors. Participants were then randomised to intervention group (simulation training) or control group (routine clinical use of M-CPR). After 6 months the outcome measures were reassessed. Comparative statistical tests used an intention-to-treat analysis.Results112 participants were enrolled. The intervention group (n=60) and control group (n=52) had similar demographic characteristics. At the 6-month assessment, median time to M-CPR initiation was 27.0 s (IQR 22.0–31.0) in the intervention group and 31.0 s (IQR 25.6–46.0) in the control group (p=0.003). The intervention group demonstrated fewer errors compared with controls at 6 months (p<0.001)ConclusionIn this randomised study of approaches to M-CPR training, providers receiving additional simulation-based training had higher retention levels of M-CPR skills. Therefore, when resuscitation skills are newly learnt, provision follow-up training should be an important consideration.
Measuring the impact of step down intermediate care on delayed discharge: an interrupted time series analysis
Authors: Levin Kate A , Crighton Emilia 
Published: April 2019

BackgroundIntermediate care (IC) acts as a bridging service between hospital and home, for those deemed medically fit for discharge but who are delayed in hospital. The aim of this study was to measure the effect of IC and a 72-hour discharge target on days delayed.MethodsRate of days delayed per 1000 population aged 75 years+ in Glasgow City was compared before and after onset of IC with a 6-month phase-in period, using segmented linear regression. Inverclyde and West Dunbartonshire (IWD) was a control. Autoregressive and moving average terms were included in the model, as well as a Fourier term to adjust for seasonality.ResultsPrior to IC, rate of days delayed increased in both Glasgow City and the rest of Scotland. There was a large reduction in rate of days delayed in Glasgow during the phase-in period, greater than the rest of Scotland but comparable with that observed in IWD, with subsequent increases thereafter. Adjusting for changes in IWD, the impact of IC and the discharge target in Glasgow City was a level change of −15.20 (95% CI −17.52 to –12.88) and a trend change of −0.29 (95% CI −0.55 to –0.02). This is equivalent to a predicted reduction due to IC of −16.04 days delayed per 1000 population per month, in June 2016, and a relative reduction of 35%.ConclusionIC and the 72-hour discharge target were associated with a reduction in days delayed. Rate of days delayed continued to increase over time, although at a slower rate than if IC had not been implemented.
Graphic health warnings on tobacco packets and containers: compliance status in Bangladesh
Authors: Rahman Syed Mahbubur , Alam Md Shariful , Zubair ABM , Shahriar Md Hasan , Hossein Monowar , Alam Md Shahedul , Hefler Marita 
Published: April 2019

ObjectiveThis study describes and analyses compliance with tobacco product graphic health warning (GHW) legislation introduced in Bangladesh in March 2016.MethodsA survey based on a structured questionnaire was conducted in April 2016 (immediately following the law coming into force), and 8 months later in November 2016, in eight divisional cities in Bangladesh. Five stores from three categories of retailers of combustible and smokeless tobacco products were surveyed, providing a total of 120 completed questionnaires. The study investigated a range of measures including the image and text of GHW, their ratio and colour use, and prescribed rotation.FindingsWarning labels for 3312 tobacco items were assessed. In April 2016, 75% of tobacco products surveyed did not have GHWs. In November 2016, 19% were still found to not have the prescribed warnings. Even among products which did include GHW, there was significant non-compliance with the full range of requirements, in both survey periods. Compliance was highest for cigarette packets and lowest among smokeless tobacco products. In addition, awareness among tobacco retailers about the range of GHW requirements was low.ConclusionEffective implementation of GHW labels in low-income and middle-income countries requires awareness-raising among key stakeholders, combined with focused monitoring and compliance strategies. This should take into account different product categories and manufacturers, as well as measures targeted at retailers.
Charge–mass sum rules for unified spinor fields in extradimensions and the prediction for the existence of tachyon quarks and tachyon leptons
Authors: Duc Dao Vong , Giao Nguyen Mong , Dung Tran Thanh 
Published: April 2019

Within the framework of the mechanism proposed in our previous works [Duc and Giao, J. Mod. Phys. 5, 477 (2014); Duc et al., Int. J. Theor. Phys. 54, 1071 (2015); Duc and Giao, Int. J. Theor. Phys. 55, 959 (2016)] for mass and charge creation, we consider the charge and mass spectrum of spinor fields in extradimensions. It is shown that a single spinor field in spacetime with extradimensions corresponds to a set of effective spinor fields in ordinary four-dimensional spacetime with charges and masses obeying the sum rules dictated from some specific assumptions related to the compactification of extradimensions. The obtained results allow us to present an example for unifying six existing flavor quarks, as well as for unifying three existing lepton generators. On the base of the derived charge–mass sum rules, we would predict the existence of some hidden tachyon quarks with fractional charges, as well as some hidden tachyon leptons, neutral or negative charged.
Meleagris Gallopavo Algorithm for Solving Optimal Reactive Power Problem
Authors: Lenin K. 
Published: April 2019

In this paper, Meleagris Gallopavo Algorithm (MGA) is proposed for solving optimal reactive power problem.As a group-mate Meleagris gallopavo follow their poultry to explore food, at the same time it prevent the same ones to eat their own food. Always the overriding individuals have the lead to grab more food and Meleagris gallopavo would arbitrarily pinch the high-quality food which has been already found by other Meleagris gallopavo. In the region of the mother Meleagris gallopavo, Poults always search for food. In the Projected Meleagris Gallopavo Algorithm (MGA) additional parameters are eliminated, in order to upsurge the search towards global optimization solution.Proposed Meleagris Gallopavo Algorithm (MGA) has been tested on two modes a. with the voltage stability Evaluation in standard IEEE 30 bus test system, b. Without voltage stability Evaluation in standard IEEE 30, 57,118 bus test systems &amp; practical 191 test system. Simulation results show clearly the better performance of the proposed Meleagris Gallopavo Algorithm (MGA) in reducing the real power loss, enhancement of static voltage stability Index and particularly voltage profiles within the specified limits.
Multicarrier SPWM Control Techniques for Three Phase Eleven Level Diode Clamped Multilevel Inverter and Hybrid Inverter with Reduced Number of Components
Authors: Susheela N. , Kumar P. Satish 
Published: April 2019

<p class="Els-Abstract-text">A comparative analysis of three phase eleven level diode clamped multilevel inverter (DCMLI) and hybrid inverter is performed in this paper in which the later requires fewer carrier signals, less number of devices and gate drive circuits. The performance is evaluated using phase disposition (PD), alternate phase opposition disposition (APOD) and carrier overlapping (CO) sinusoidal pulse width modulation (SPWM) methods. The hybrid multilevel inverter has superior features over diode clamped multilevel inverters and is more efficient since the positive levels of the inverter that are generated by high frequency switches (level generation part), are reversed by low frequency switches (polarity generation part) when the voltage polarity is required to be changed for negative polarity. Therefore, the overall cost and complexity of the hybrid inverter are greatly reduced particularly for higher inverter output voltage levels. Simulation is performed for three phase eleven level diode clamped multilevel inverter and hybrid multilevel inverter using MATLAB/Simulink for induction motor load and the total harmonic distortion is evaluated at different load torques.</p>
The use of Markov Chain method to determine spare transformer number and location
Authors: Marbun Musa Partahi , Sinisuka Ngapuli Irmea , Hariyanto Nanang 
Published: April 2019

<span lang="EN-US">The purpose of this study is to develop a method to determine spare transformer number and location. Using Markov Chain method, state transition model and steady state probability was used on each 500-kV substation in order to analyze the effect of spare number and location variation with the reliability changes. To give an actual result of the case study, calculation of spare transformer number and location on 500/150 kV transformers in Java Bali System was analyzed. The steady state probability results will vary depending on the number of spare transformer, these results can then be used to assess the spare transformer needed. The variation of spare transformer location can be used to analyze the best possible location of the spare in order to satisfy the reliability required. The methodology presented shows an integrated calculation for determining the spare transformer number and location.</span>
A transient current based micro-grid connected power system protection scheme using wavelet approach
Authors: Shekar S. Chandra , Kumar G.Ravi , Lalitha S.V.N.L 
Published: April 2019

Micro-grids comprise Distributed Energy Resources (DER’s) with low voltage distribution networks having controllable loads those can operate with different voltage levels are connected to the micro-grid and operated in grid mode or islanding mode in a coordinated way of control. DER’s provides clear environment-economical benefits for society and consumer utilities. But their development poses great technical challenges mainly protection of main and micro grid. Protection scheme must have to respond to both the main grid and micro-grid faults. If the fault is occurs on main grid, the response must isolate the DER’s from the main grid rapidly to protect the system loads. If the fault ocuurs within the micro-grid, the protection scheme must coordinate and isolates the least priority possible part of the grid to eliminate the fault. In order to deal with the bidirectional energy flow due to large numbers of micro sources new protection schemes are required. The system is simulated using MATLAB Wavelet Tool box and Wavelet based Multi-resolution Analysis is considered. Wavelet based Multi-resolution Analysis is used for detection, discrimination and location of faults on transmission network. This paper is discussed a transient current based micro-grid connected power system protection scheme using Wavelet Approach described on wavelet detailed-coefficients of Mother Biorthogonal 1.5 wavelet. The proposed algorithm is tested in micro-grid connected power systems environment and proved for the detection, discrimination and location of faults which is almost independent of fault impedance, fault inception angle (FIA) and fault distance of feeder line.
Hardware simulation for exponential blind equal throughput algorithm using system generator
Authors: Yusuf Yusmardiah , Ali Darmawaty Mohd , Ya’acob Norsuzila 
Published: April 2019

Scheduling mechanism is the process of allocating radio resources to User Equipment (UE) that transmits different flows at the same time. It is performed by the scheduling algorithm implemented in the Long Term Evolution base station, Evolved Node B. Normally, most of the proposed algorithms are not focusing on handling the real-time and non-real-time traffics simultaneously. Thus, UE with bad channel quality may starve due to no resources allocated for quite a long time. To solve the problems, Exponential Blind Equal Throughput (EXP-BET) algorithm is proposed. User with the highest priority metrics is allocated the resources firstly which is calculated using the EXP-BET metric equation. This study investigates the implementation of the EXP-BET scheduling algorithm on the FPGA platform. The metric equation of the EXP-BET is modelled and simulated using System Generator. This design has utilized only 10% of available resources on FPGA. Fixed numbers are used for all the input to the scheduler. The system verification is performed by simulating the hardware co-simulation for the metric value of the EXP-BET metric algorithm. The output from the hardware co-simulation showed that the metric values of EXP-BET produce similar results to the Simulink environment. Thus, the algorithm is ready for prototyping and Virtex-6 FPGA is chosen as the platform.
Spam image email filtering using K-NN and SVM
Authors: Zamil Yasmine Khalid , Ali Suhad A. , Naser Mohammed Abdullah 
Published: April 2019

<p>The developing utilization of web has advanced a simple and quick method for e-correspondence. The outstanding case for this is e-mail. Presently days sending and accepting email as a method for correspondence is prominently utilized. Be that as it may, at that point there stand up an issue in particular, Spam mails. Spam sends are the messages send by some obscure sender just to hamper the improvement of Internet e.g. Advertisement and many more. Spammers introduced the new technique of embedding the spam mails in the attached image in the mail. In this paper, we proposed a method based on combination of SVM and KNN. SVM tend to set aside a long opportunity to prepare with an expansive information set. On the off chance that "excess" examples are recognized and erased in pre-handling, the preparation time could be diminished fundamentally. We propose a k-nearest neighbor (k-NN) based example determination strategy. The strategy tries to select the examples that are close to the choice limit and that are effectively named. The fundamental thought is to discover close neighbors to a question test and prepare a nearby SVM that jelly the separation work on the gathering of neighbors. Our experimental studies based on a public available dataset (Dredze) show that results are improved to approximately 98%.</p>
The role of speech technology in biometrics, forensics and man-machine interface
Authors: Singh Satyanand 
Published: April 2019

<span lang="EN-US">Day by day Optimism is growing that in the near future our society will witness the Man-Machine Interface (MMI) using voice technology. Computer manufacturers are building voice recognition sub-systems in their new product lines. Although, speech technology based MMI technique is widely used before, needs to gather and apply the deep knowledge of spoken language and performance during the electronic machine-based interaction. Biometric recognition refers to a system that is able to identify individuals based on their own behavior and biological characteristics. Fingerprint success in forensic science and law enforcement applications with growing concerns relating to border control, banking access fraud, machine access control and IT security, there has been great interest in the use of fingerprints and other biological symptoms for the automatic recognition. It is not surprising to see that the application of biometric systems is playing an important role in all areas of our society. Biometric applications include access to smartphone security, mobile payment, the international border, national citizen register and reserve facilities. The use of MMI by speech technology, which includes automated speech/speaker recognition and natural language processing, has the significant impact on all existing businesses based on personal computer applications. With the help of powerful and affordable microprocessors and artificial intelligence algorithms, the human being can talk to the machine to drive and control all computer-based applications. Today's applications show a small preview of a rich future for MMI based on voice technology, which will ultimately replace the keyboard and mouse with the microphone for easy access and make the machine more intelligent.</span>
Combined heat and power - optimal power flow based on thermodynamic model with associated petroleum and wet gas utilization constraints
Authors: Pujihatma Priambudi , Hadi Sasongko Pramono , Sarjiya Sarjiya , Rohmat Tri Agung 
Published: April 2019

<span lang="EN-GB">Oil fields produce associated petroleum and wet gas, which can be mixed with commercial natural gas as fuel. Associated petroleum and wet gas are a low cost, low quality fuel, whereas commercial natural gas is the opposite. Two parameters are affected by this mixture: the fuel cost and the power – steam output of gas turbine – heat recovery steam generators. This research develops a Unit Commitment and Optimal Power Flow model based on Mixed Integer Nonlinear Programming to optimize combined heat and power cost by considering the optimal mixture between associated petroleum - wet gas and commercial natural gas. A thermodynamic model is used to represent the performance of gas turbine – heat recovery steam generators when subjected to different fuel mixtures. The results show that the proposed model can optimize cost by determining the most efficient power – steam dispatch and optimal fuel mixture. Furthermore, the optimization model can analyse the trade-off between power system losses, steam demand and associated - wet gas utilization. </span>
A secure image steganography based on burrows wheeler transform and dynamic bit embedding
Authors: Thahab Ahmed Toman 
Published: April 2019

In modern public communication networks, digital data is massively transmitted through the internet with a high risk of data piracy. Steganography is a technique used to transmit data without arousing suspicion of secret data existence. In this paper, a color image steganography technique is proposed in spatial domain. The cover image is segmented into non-overlapping blocks which are scattered among image size window using Burrows Wheeler transform before embedding. Secret data is embedded in each block according to its sequence in the Burrows Wheeler transform output. The hiding method is an operation of an exclusive-or between a virtual bit which is generated from the most significant bit and the least significant bits of the cover pixel. Results of the algorithm are analyzed according to its degradation of the output image and embedding capacity. The results are also compared with other existing methods.
Noise reduction in ECG Signals for Bio-telemetryb
Authors: Naveen V. Jagan , Krishna K. Murali , Rajeswari K. Raja 
Published: April 2019

<p><span lang="EN-US">In Biotelemetry, Biomedical signal such as ECG is extremely important in the diagnosis of patients in remote location and is recorded commonly with noise. Considered attention is required for analysis of ECG signal to find the patho-physiology and status of patient. In this paper, LMS and RLS algorithm are implemented on adaptive FIR filter for reducing power line interference (50Hz) and (AWGN) noise on ECG signals .The ECG signals are randomly chosen from MIT_BIH data base and de-noising using algorithms. The peaks and heart rate of the ECG signal are estimated. The measurements are taken in terms of Signal Power, Noise Power and Mean Square Error.</span></p>
Energy harvesting earliest deadline first scheduling algorithm for increasing lifetime of real time systems
Authors: Kumar Arvind , Alam Bashir 
Published: April 2019

<span lang="EN-US">In this paper, a new approach for energy minimization in energy harvesting real time systems has been investigated. Lifetime of a real time systems is depend upon its battery life. Energy is a parameter by which the lifetime of system can be enhanced. To work continuously and successively, energy harvesting is used as a regular source of energy. EDF (Earliest Deadline First) is a traditional real time tasks scheduling algorithm and DVS (Dynamic Voltage Scaling) is used for reducing energy consumption. In this paper, we propose an Energy Harvesting Earliest Deadline First (EH-EDF) scheduling algorithm for increasing lifetime of real time systems using DVS for reducing energy consumption and EDF for tasks scheduling with energy harvesting as regular energy supply. Our experimental results show that the proposed approach perform better to reduce energy consumption and increases the system lifetime as compared with existing approaches. </span>