bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating team decision-making as an emergent phenomenon
Authors: Kinnear John , Wilson Nick , O’Dwyer Anthony 
Published: January 2018

AbstractBackgroundThe complexity of modern clinical practice has highlighted the fallibility of individual clinicians’ decision-making, with effective teamwork emerging as a key to patient safety. Dual process theory is widely accepted as a framework for individual decision-making, with type 1 processes responsible for fast, intuitive and automatic decisions and type 2 processes for slow, analytical decisions. However, dual process theory does not explain cognition at the group level, when individuals act in teams. Team cognition resulting from dynamic interaction of individuals is said to be more resilient to decision-making error and greater than simply aggregated cognition.MethodsClinicians were paired as teams and asked to solve a cognitive puzzle constructed as a drug calculation. The frequency at which the teams made incorrect decisions was compared with that of individual clinicians answering the same question.ResultsWhen clinicians acted in pairs, 63% answered the cognitive puzzle correctly, compared with 33% of clinicians as individuals, showing a statistically significant difference in performance (χ2 (1, n=116)=24.329, P&lt;0.001). Based on the predicted performance of teams made up of the random pairing of individuals who had the same propensity to answer as previously, there was no statistical difference in the actual and predicted teams’ performance.ConclusionsTeams are less prone to making errors of decision-making than individuals. However, the improved performance is likely to be owing to the effect of aggregated cognition rather than any improved decision-making as a result of the interaction. There is no evidence of team cognition as an emergent and distinct entity.
Novel dry cryotherapy system for cooling the equine digit
Authors: Morgan Jessica , Stefanovski Darko , Lenfest Margret , Chatterjee Sraboni , Orsini James 
Published: January 2018

ObjectivesDigital cryotherapy is commonly used for laminitis prophylaxis and treatment. Currently validated methods for distal limb cryotherapy involve wet application or compression technology. There is a need for a practical, affordable, dry cryotherapy method that effectively cools the digit. The objective of this study was to evaluate the hoof wall surface temperatures (HWSTs) achieved with a novel dry cryotherapy technology.DesignRepeated‐measures in vivo experimental study.SettingExperimental intervention at a single site.Participants6 systemically healthy horses (3 mares, 3 geldings).InterventionsCryotherapy was applied to six horses for eight hours with a commercially available rubber and rubber and welded fabricice boot, which extended proximally to include the foot and pastern. Reusable malleable cold therapy packs were secured against the foot and pastern with the three built‐in hook‐and‐loop fastener panels.Primary and secondary outcome measuresHWST and pastern surface temperature of the cryotherapy‐treated limb, HWST of the control limb and ambient temperature were recorded every five minutes throughout the study period.ResultsResults were analysed with mixed‐effects multivariable regression analysis. The HWST (median 11.1°C, interquartile range 8.6°C–14.7°C) in the cryotherapy‐treated limb was significantly decreased compared with the control limb (median 29.7°C, interquartile range 28.9°C–30.4°C) (P≤0.001). Cryotherapy limb HWST reached a minimum of 6.75°C (median) with an interquartile range of 4.1°C–9.3°C. Minimum HWST was achieved 68 minutes after cryotherapy pack application.ConclusionsDry application of cryotherapy significantly reduced HWST and reached minimums below the therapeutic target of 10°C. This cryotherapy method might offer an effective alternative for digital cooling.
Snoopy
Authors: Lu Chris Xiaoxuan , Du Bowen , Wen Hongkai , Wang Sen , Markham Andrew , Martinovic Ivan , Shen Yiran , Trigoni Niki 
Published: January 2018

Demand for smartwatches has taken off in recent years with new models which can run independently from smartphones and provide more useful features, becoming first-class mobile platforms. One can access online banking or even make payments on a smartwatch without a paired phone. This makes smartwatches more attractive and vulnerable to malicious attacks, which to date have been largely overlooked. In this paper, we demonstrate Snoopy, a password extraction and inference system which is able to accurately infer passwords entered on Android/Apple watches within 20 attempts, just by eavesdropping on motion sensors. Snoopy uses a uniform framework to extract the segments of motion data when passwords are entered, and uses novel deep neural networks to infer the actual passwords. We evaluate the proposed Snoopy system in the real-world with data from 362 participants and show that our system offers a ~ 3-fold improvement in the accuracy of inferring passwords compared to the state-of-the-art, without consuming excessive energy or computational resources. We also show that Snoopy is very resilient to user and device heterogeneity: it can be trained on crowd-sourced motion data (e.g. via Amazon Mechanical Turk), and then used to attack passwords from a new user, even if they are wearing a different model.
This paper shows that, in the wrong hands, Snoopy can potentially cause serious leaks of sensitive information. By raising awareness, we invite the community and manufacturers to revisit the risks of continuous motion sensing on smart wearable devices.
When to Screen Ischaemic Stroke Patients for Cancer
Authors: Selvik Henriette Aurora , Bjerkreim Anna Therese , Thomassen Lars , Waje-Andreassen Ulrike , Naess Halvor , Kvistad Christopher Elnan 
Published: January 2018

<b><i>Background and Purpose:</i></b> Ischemic stroke can be the first manifestation of cancer and it is therefore important to ascertain which stroke patients should be considered for cancer-diagnostic investigations. We aimed to determine the frequency of active cancer in patients with acute ischemic stroke and to compare clinical findings in stroke patients with active cancer to ischemic stroke patients with no history of cancer. Finally, we aimed to develop a predictive and feasible score for clinical use to uncover underlying malignancy. <b><i>Methods:</i></b> All ischemic stroke patients admitted to the stroke unit in the Department of Neurology, Haukeland University Hospital were consecutively included in the Norwegian Stroke Research Registry (NORSTROKE). Stroke etiology was determined by the Trial of Org 10172 in Acute Stroke Treatment (TOAST) criteria. Data on cancer diagnoses was obtained from patients’ medical records and the Cancer Registry of Norway. Active cancer was defined as cancer diagnosis, metastasis of known cancer, recurrent cancer or receiving cancer treatment, all within 12 months before or after the index stroke. Based on variables independently associated with active cancer, a predictive score was developed using the area under the receiver operating characteristic (AUC-ROC) curves. Bayes’ theorem was used to calculate post-test probabilities of active cancer. <b><i>Results:</i></b> Of the 1,646 ischemic stroke patients included, 82 (5.0%) had active cancer. Increased D-dimer (OR = 1.1, 95% CI: 1.1–1.2, <i>p</i> = &#x3c;0.001), lower Hb (OR = 0.6, 95% CI: 0.5–0.7, <i>p</i> = &#x3c;0.001), smoking (OR = 2.2, 95% CI: 1.2–4.3, <i>p</i> = 0.02) and suffering a stroke of undetermined etiology (OR = 1.9, 95% CI: 1.1–3.3, <i>p</i> = 0.03) were factors independently associated with active cancer. These were included in the final predictive score which gave an AUC of 0.73 (95% CI: 0.65–0.81) in patients younger than 75 years of age. Assuming the prevalence of cancer to be 5%, the score shows that if a patient fulfills all 3 score points, the probability of active cancer is 53%. <b><i>Conclusions:</i></b> Active cancer was found in 5% of our ischemic stroke patients. We found that a clinical score comprising elevated D-dimer ≥3 mg/L, lower Hb ≤12.0 g/dL and previous or current smoking is feasible for predicting active cancer in ischemic stroke patients.
The Vertical Array Reconstruction Technique in Pylorus-Preserving Pancreatoduodenectomy
Authors: Kobayashi Shinjiro , Koizumi Satoshi , Hatori Takashi , Segami Kouhei , Hoshino Hiroyuki , Otsubo Takehito 
Published: January 2018

<b><i>Background/Aims:</i></b> We describe a new reconstruction method of duodenojejunal anastomosis, the “vertical array reconstruction” (VAR) technique, following pylorus-preserving pancreatoduodenectomy (PPPD). <b><i>Methods:</i></b> The VAR technique aligns the stomach, duodenum, and jejunal loop vertically along the body’s longitudinal axis. It was performed in 120 consecutive patients (between June 2008 and October 2015) who underwent PPPD. We evaluated the incidence of delayed gastric emptying (DGE). <b><i>Results:</i></b> The incidence of DGE was 1.7% (<i>n</i> = 2). The proposed clinical grading classified these 2 cases of DGE as grade B. There was no DGE related to pancreatic fistula. The median duration to starting a solid diet was 3 days (range 3–5 days). The median operative time was 450 min (range 391–550 min). <b><i>Conclusion:</i></b> The VAR technique allows the upper digestive tract to be aligned linearly and can minimize the risk of DGE after PPPD.
Takagi-Sugeno Fuzzy Perpose as Speed Controller in Indirect Field Oriented Control of Induction Motor Drive
Authors: Mat Ariff Roslina , Hanafi Dirman , Utomo Wahyu Mulyo , Muhammad Zin Nooradzianie , Sim Sy Yi , Aida Bohari Azuwien 
Published: January 2018

This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor. The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi-Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach.
Multiple Inverters Operated in Parallel for Proportional Load Sharing in Microgrid
Authors: Raj D Chethan , Gaonkar D N 
Published: January 2018

<p class="a">The new energy source utilization and development, gradual rise of distributed power grid miniaturization, intelligence, control has become a trend. In order to make microgrid reliable and efficiently run, control technology of microgrid has become a top priority and an inverter as microgrid basic unit, its control has become the most important part in microgrid. In this paper, three inverters are operated in parallel using an P-V/Q-F droop control is investigated. Mathematical model of three phase inverter with LC filter is derived, which is based on the voltage and current dual control loop. Parallel control strategy based on P-V/Q-F droop control, does not require a real time communications between the inverters and more suitable for microgrid applications. To verify the feasibility and validity of the droop control scheme, simulation is done in Matlab/Simulink and results indicate droop control has significant effect on power sharing and balancing the voltage magnitude, frequency.</p>
Design of Real Time Anemometer Based on Wind Speed-Direction and Temperature
Authors: Hardianto Triwahju , Supeno Bambang , Setiawan Dedy Kurnia , Gunawan Gunawan 
Published: January 2018

Data acquisition of wind speed, wind direction and environmental temperature are needed to get the data potential of wind power. The aim of this research is to generate a device of wind speed, wind direction and temperature with the real time condition. With this device, we will obtain an analysis about the potential of wind power electrical generation around the Puger beach, Jember, Indonesia. In this study, parameters investigated were made into three types of measurement variables that measure of wind speed, wind direction, temperature and a data to show real time data..The device which is used to measure wind speed using hall effect sensor as a transducer. With using of the active magnet that spins will be created pwm that will be read by sensor to get the wind speed. As for the shows wind direction, we use a compass sensor CMPS 03 is a digital sensor that outputs in the form of digital bits so that be able to show wind direction from 0° to 360°. The magnitude of angle will be used in analyzing the direction of the wind, the real time clock (RTC) will be used to directly to determine the time and date of recording data. Then the temperature DS1621 sensor to show environmental temperature.
ZVS Full Bridge Series Resonant Boost Converter with Series-Connected Transformer
Authors: Salem Mohamed , Jusoh Awang , N. Idris N.Rumzi , Sutikno Tole , Abid Iftikhar 
Published: January 2018

This paper presents a study on a new full bridge series resonant converter (SRC) with wide zero voltage switching (ZVS) range, and higher output voltage. The high frequency transformer is connected in series with the LC series resonant tank. The tank inductance is therefore increased; all switches having the ability to turn on at ZVS, with lower switching frequency than the LC tank resonant frequency. Moreover, the step-up high frequency (HF) transformer design steps are introduced in order to increase the output voltage to overcome the gain limitation of the conventional SRC. Compared to the conventional SRC, the proposed converter has higher energy conversion, able to increase the ZVS range by 36%, and provide much higher output power. Finally, the a laboratory prototypes of the both converters with the same resonant tank parameters and input voltage are examined based on 1 and 2.2 kW power respectively, for veryfing the reliability of the performance and the operation principles of both converters.
Voltage Ripple Reduction in Voltage Loop of Voltage Source Converter
Authors: Jaroenkiattrai Jedsada , Chunkag Viboon 
Published: January 2018

In order to achieve a good dynamical response of a full-bridge AC-DC voltage source converters (VSC). The bandwidth of PI controller must be relatively wide. This leads to the voltage ripple produced in the control signal, as known that its ripple frequency has twice of the line frequency and cause the 3rd harmonic of an input current. A Ripple Voltage Estimator (RVE) algorithm and Feed-Forward Compensation (FFC) algorithm are proposed and added to the conventional control. The RVE algorithm estimated the ripple signal to subtract it occurring in the voltage loop. As a result, the 3rd harmonic of the input current can be reduced, and hence the Total Harmonic Distortion of input current (THDi) are improved. In addition, the FFC algorithm will offer a better dynamical response of output voltage. The performance evaluation was conducted through the simulation and experiment at 110Vrms/50Hz of the input voltage, with a 600 W load and 250 V<sub>dc</sub> output voltage. The overall system performances are obtained as follows: the power factor at the full load is higher 0.98, the harmonic distortion at AC input power source of the converter is under control in IEC61000-3-2 class A limit, and the overall efficiency is greater than 85%.
The Linear Model of a PV moduel
Authors: Mohamed Mohamed Abd-El-Hakeem 
Published: January 2018

<p>This paper propose a new approach to determine a linear mathematical model of a PV moduel based on an accurate nonlinear model . In this study, electrical parameters at only one operating condition are calculated based on an accurate model. Then, first-order Taylor series approximations apply on the nonlinear model to estimate the proposed model at any operating conditionts. The proposed method determines the number of iteration times. This decreases calculation time and the speed of numerical convergence will be increased. And, it is observed that owing to this method, the system converged and the problem of failing to solve the system because of inappropriate initial values is eliminated. The proposed model is requested in order to allow photovoltaic plants simulations using low-cost computer platforms. The effectiveness of the proposed model is demonstrated for different temperature and irradiance values through conducting a comparison between result of the proposed model and experimental results obtained from the module data-sheet information.</p>
Performance Analysis of (Bi2Te3-PbTe) Hybrid Thermoelectric Generator
Authors: Angeline A Anitha , J Jayakumar , Godson Asirvatham Lazarus 
Published: January 2018

A theoretical analysis on the performance of (Bi2Te3-PbTe) hybrid thermoelectric generator (TEG) is presented in this paper. The effect of different performance parameters such as output voltage, output current, output power, maximum power output, open circuit voltage, Seebeck co-efficient, electrical resistance, thermal conductance, figure of merit, efficiency, heat absorbed and heat removed based on maximum conversion and power efficiency have been analyzed by varying the hot side temperature up to 350oC and by varying the cold side temperature from 30oC to 150oC. The results showed that a maximum power output of 21.7 W has been obtained with the use of one hybrid thermoelectric module for a temperature difference of 320oC between the hot and cold side of the thermoelectric generator at matched load resistance. The figure of merit was found to be around 1.28 which makes its usage possible in the intermediate temperature (250oC to 350oC) applications such as heating of Biomass waste, heat from Biomass cook stoves or waste heat recovery etc. It is also observed that the hybrid thermoelectric generator offers superior performance over 250oC of the hot side temperature, compared to standard Bi2Te3 modules
Novel Symmetric and Asymmetric Multilevel Inverter Topology for Permanent Magnet Synchronous Motor
Authors: Prayag Aparna , Bodkhe Sanjay 
Published: January 2018

In this paper a new, simple multilevel inverter topology is proposed. Multilevel inverter uses several dc sources and power switches to synthesize desired output voltage waveform. The single phase structure of proposed topology in this paper consists of two dc sources and eight power switches. When the magnitudes of dc sources are equal it operates in symmetric mode, however in order to increase output voltage levels unequal magnitudes of dc sources are selected, then it operates in asymmetric mode. So far, multilevel inverter topologies have been used in motor drive industry to run induction motors. Recently permanent magnet synchronous motors (PMSM) are replacing induction motors. Multilevel inverter is an attracting choice for driving high performance PMSM. However very few studies discuss the performance of multilevel inverter fed PMSM. In this paper simulation of novel symmetric and asymmetric multilevel inverter is carried out to analyze performance of PMSM. The topology is investigated through computer simulation using MATLAB/Simulink.
Hybrid Fuzzy Sliding Mode Speed Control for an Electric Vehicle Drive
Authors: Bouguenna Ibrahim Farouk , Azaiz Ahmed , Tahour Ahmed , Larbaoui Ahmed 
Published: January 2018

<p>This paper present a speed hybrid fuzzy-sliding mode control (HFSMC) of a permanent magnet synchronous motor (PMSM) to ensure the traction of an electric vehicle; at the first we applied the sliding mode control (SMC) with three surfaces on the PMSM by taking into account the dynamics of the vehicle; And afterwards we applied the fuzzy-sliding mode in which the surface of the speed is replaced by a Fuzzy-PI controller; Simulation under Matlab/Simulink has been carried out to evaluate the efficiency and robustness of the proposed control on a system drive. It should be noted that the reference speed is the European urban driving schedule ECE-15 cycle.</p>
Filter Implementation Using Output Transformer of UPS for Power Quality Improvement
Authors: N. Anandh , D'Sa Pramod Antony , Gautam M.V. , Sandeep V.Sai 
Published: January 2018

Power electronics play a significant role in different areas of technology, more usage of power electronic devices lead to more harmonic content and various power quality issues in the system. Therefore, power quality gains more significance in the current era of research. Power electronics equipment’s with non-linear loads concludes with more harmonic disturbances and lower power factor. Harmonic impurities are the major problem ingredient due to the connection of non-linear load. To lessen the harmonics usually passive filters are used. The major objective of this work is to monitor and analyse the power quality of uninterrupted power supply by means of DAQ system that gathers real time data on the system and then the data is analysed using National Instruments LabVIEW. Once power quality analysis is done, a new technique of filter implementation using output transformer of the UPS was explored and passive filter was simulated using MATLAB/Simulink and then simulated filter was implemented in order to achieve power quality improvement.
Control of Chaos in a Current Mode Controlled Buck Boost Converter Using Weak Periodic Perturbation Method
Authors: Sriramalakshmi P. , Kavitha A. , Sanjeevikumar P. , Sutikno Tole , Kiran Maroti Pandav , Ramachandaramurthy Vigna K. 
Published: January 2018

<p>This paper analyses the nonlinear phenomena in current mode controlled buck-boost converter. The system undergoes various operating regions whenever there is a change in non linear elements presented in the system as well as in the loads. In this work, inductor current is considered as the reference for analysis.The results show that the converter enters into period-1, periodic doubling and chaotic regions as per the parameter (I<sub>L</sub>) variations. The proposed control strategy, weak periodic perturbation (WPP) method tries to stabilize the system from the chaotic behavior.The buck boost converter along with the control system is simulated using MATLAB/SIMULINK software tool and the results are presented.The hardware implementation of the system is done and the results are verified with the simulation results. It shows that the WPP can transform the system behaviour from the chaotic region to the periodic one. </p>
A Novel Approach for Space Vector Based PWM Algorithm for Diode Clamped Three level VSI Fed Induction Motor Drive
Authors: Roy Debanjan , Singh Madhu , Roy Tapas 
Published: January 2018

<p>Performance of a voltage source inverter depends on pulse width modulation algorithms. Various algorithms exist for conventional space vector as well as space vector based bus clamped pulse width modulation for multilevel inverter in the literature. In this paper appropriate region selection algorithm for conventional space vector pulse width modulation (CSVPWM) and bus clamped pulse width modulation (BCPWM) techniques are proposed for diode clamped three level voltage source inverter. The proposed techniques are implemented on a three level voltage source inverter fed induction motor drive for open loop operation. The schemes are simulated in MATLAB/SIMULINK environments. The merit of proposed region selection algorithm is tested and verified through simulation result. Further performance comparisons between SVPWM and BCPWM for different modulation index are discussed. </p>