Miracle-dz/UniFAR-FTUs huggingface dataset:
Mixed methods evaluation of the impact of the COVID-19 ICU remote-learning rehabilitation course for frontline health professionals during the COVID-19 pandemic in the UK

Background Optimising outcomes for critically ill patients with COVID-19 patients requires early interdisciplinary rehabilitation. As admission numbers soared through the pandemic, the redeployed workforce needed rapid, effective training to deliver these rehabilitation interventions. Methods The COVID-19 ICU Remote-Learning Rehab Course (CIRLC-rehab) is a one-day interdisciplinary course developed after the success of CIRLC-acute. The aim of CIRLC-rehab was to rapidly train healthcare professionals to deliver physical, nutritional and psychological rehabilitation strategies in the ICU/acute setting. The course used blended learning with interactive tutorials delivered by shielding critical care professionals. CIRLC-rehab was evaluated through a mixed-methods approach, including questionnaires, and follow-up semi-structured interviews to evaluate perceived impact on clinical practice. Quantitative data are reported as n (%) and means (SD). Inductive descriptive thematic analysis with methodological triangulation was used to analyse the qualitative data from the questionnaires and interviews. Results 805 candidates completed CIRLC-rehab. 627 (78.8%) completed the post-course questionnaire. 95% (n = 596) found CIRLC-rehab extremely or very useful and 96.0% (n = 602) said they were very likely to recommend the course to colleagues. Overall confidence rose from 2.78/5 to 4.14/5. The course promoted holistic and humanised care, facilitated informal networks, promoted interdisciplinary working and equipped the candidates with practical rehabilitation strategies that they implemented into clinical practice. Conclusion This pragmatic solution to educating redeployed staff during a pandemic increased candidates’ confidence in the rehabilitation of critically ill patients. There was also evidence of modifications to clinical care utilising learning from the course that subjectively facilitated holistic and humanised rehabilitation, combined with the importance of recognising the humanity, of those working in ICU settings themselves. Whilst these data are self-reported, we believe that this work demonstrates the real-term benefits of remote, scalable and rapid educational delivery.
Experimental and Numerical Investigation of Termination Impedance Effects in Wireless Power Transfer via Metamaterial

This paper presents an investigation of the transmitted power in a wireless power transfer system that employs a metamaterial. Metamaterials are a good means to transfer power wirelessly, as they are composed of multiple inductively-coupled resonators. The system can be designed and matched simply through magneto-inductive wave theory, particularly when the receiver inductor is located at the end of the metamaterial line. However, the power distribution changes significantly in terms of transmitted power, efficiency and frequency if the receiver inductor slides along the line. In this paper, the power distribution and transfer efficiency are analysed, studying the effects of a termination impedance in the last cell of the metamaterial and improving the system performance for the resonant frequency and for any position of the receiver inductor. Furthermore, a numerical characterisation is presented in order to support experimental tests and to predict the performance of a metamaterial composed of spiral inductor cells with very good accuracy.
Design of VLSI Digital Filters for Tolerating Transient Timing Errors

As the feature size of chips shrinks with semiconductor technology advancing, the size of transistors and their operating voltage keep decreasing. One of the major problems with advanced semiconductor technology is timing errors caused by process variation and noises. With such problems, conventional worst-case designs suffer poor system performance. This paper proposes an aggressive design technique for VLSI digital filters for tolerating transient timing errors. When a timing error occurs, the system reconfigures the buffer cells of digital filters with little performance degradation. We have applied the technique to two example digital filter designs, including an FIR filter and an IIR filter. The implementation results show that our proposed designs achieve tolerance of transient timing errors with reasonable cost. Index Terms - Timing errors; error-resilient design; digital filters; VLSI design.
IUTAM Symposium on Computational Aero-Acoustics for Aircraft Noise Prediction Jet Noise Simulations for Realistic Jet Nozzle Geometries

This paper describes a methodology for the direct calculation of noise from realistic nozzle geometries. The focus of the paper is on the numerical approach to this problem to provide noise predictions to engineering accuracy in an efficient manner. In addition, issues related to grid generation are discussed. The methodology uses structured multiblock grids. The block surrounding the jet centerline has a Cartesian form and the surrounding grid blocks have a cylindrical polar form – at least for nearly axisymmetric jet nozzle geometries. Appropriate block interface conditions are used. In the case of military style jet nozzles the nozzles are not smooth in the azimuthal direction but have facets representative of the movable flaps in such variable area nozzles. These features must be included in the grid. To enable efficient calculations, in addition to parallel computation, a dual time-stepping approach is used. The sub-iterations in the fictitious time are accelerated using a two-level multigrid approach. A Detached Eddy Simulation (DES) approach based on the Spalart-Allmaras (S-A) one-equation turbulence model is used. Comparisons are made between flow predictions using the DES with the S-A model everywhere and with the turbulence model turned off in the jet external flow. Noise predictions are made with the permeable surface Ffowcs Williams – Hawkings (FW-H) solution. Noise predictions are presented for both a smooth convergent-divergent nozzle as well as a nozzle representative of a military aircraft engine. Comparisons are made with available experimental data.
Extracting Ionosphere Scintillations Index Based on Single Frequency GPS Software Receiver

Scintillations are caused by ionospheric plasma-density irregularities and can lead to signal power fading, loss of lock of the carrier tracking loop in the GPS receiver. The traditional method of monitoring and mitigating scintillation is to transform commercial GPS receiver with modified hardware and embedded software. To better facilitate advance development GPS receiver under different condition, GPS software scintillation receiver is designed in this paper. The hardware scheme of high-speed GPS signal acquisition system is first discussed and implemented with FPGA and DSP architecture. Then, we describe receiver software processing algorithm, particularly the portion involving the scintillation signal acquisition and tracking, ionospheric scintillation index extracting and scintillation monitoring. The performance of software receiver is demonstrated under scintillation conditions. Relevant results show that software-receiver based approach can avoid weak signal loss and extract effectively ionospheric scintillation parameter compared with the traditional extracting method. Software receiver is suitable and reliable for the ionospheric scintillations monitoring, and can provide theoretical foundations and experimental preparations for future scintillation studies implemented with Chinese indigenous BeiDou-Ⅱ navigation and poisoning system.
Application specific virtual machines: operating system support for user-level sensornet programming

We introduce application specific virtual machines (ASVMs) as a way to retask deployed wireless sensor networks. We analyze and show that prior approaches, such as standardized virtual machines or a user/kernel boundary, are insufficient or less appropriate than our approach. We present Mate, an architecture for building application specific virtual machines. We describe its execution and data models, as well as its code loading and linking algorithms. We evaluate the efficiency of a Mate ASVM's components individually with microbenchmarks, evaluate the efficiency of a whole system against other proposals for application level programming, and evaluate Mate's flexibility by presenting several example ASVMs that users have built and deployed. The results show that ASVMs allow users to safely, efficiently, and quickly retask large sensor networks in high level languages, making these systems accessible to non-expert users and opening up new application opportunities.
An X-Band Ultra-High Gradient Photoinjector

Sergey Kuzikov†, Sergey Antipov, Pavel Avrakhov1, Edward Dosov1, Chunguang Jing1, Ernie Knight, Euclid Techlabs LLC, Bolingbrook, IL, USA 1also at Euclid Beamlabs LLC, Bolingbrook, IL, USA Gwanghui Ha, Wanming Liu, Philippe Piot2,3, John G. Power, Doran Scott, Jiahang Shao, Eric Wisniewski4, ANL, Lemont, Illinois, USA 2also at Fermilab, Batavia, IL, USA 3also at Northern Illinois University, DeKalb, IL, USA 4also at IIT, Chicago, IL, USA Wei Hou Tan, Northern Illinois University, DeKalb, IL, USA Xueying Lu5, MIT/PSFC, Cambridge, Massachusetts, USA 5also at SLAC, Menlo Park, CaliforniaUSA Abstract
The Theoretical Precision with which an Arbitrary Radiation-Pattern may be Obtained from a Source of Finite Size

It appears that it is possible to approximate as closely as desired to a specified radiation-pattern by a suitable distribution of field over an aperture of given size, though the necessary currents in the conducting elements of the source would in general be prohibitively large in comparison with the power radiated. The difficulty of obtaining a high degree of approximation, and in particular a power gain very much greater than that of a uniformly illuminated aperture, is thus a practical rather than a theoretical one. The same is true for the linear array of given length as for the continuous aperture if no limit is set to the number of elements. Even when this number is limited by the adoption of half-wavelength spacing, the broadside power gain is not a maximum when the amplitudes and phases of the elements are equal, unless the elements are ideal isotropic point-sources.
Financial performance mediates the relationship of intellectual capital to firm value in Indonesian banking companies

This study was conducted to seek the consistency of the results of previous studies on the influence of Intellectual Capital, with the mediation of financial performance, on the value of banking firms. The quantitative research method used the PLS-SEM analysis technique by using the Smart PLS 3 application. The research subjects were 45 banks listed on the IDX for the period 2015-2019. The sampling technique used was purposive sampling. The results showed the consistency of the financial performance of banking companies with ROE and ROA indicators as mediating variables between Intellectual Capital as the dependent variable on the value of conventional banking companies using PER indicator as an independent variable. The type of mediation formed in the PLS-SEM equation model is partial mediation.
Evaluation of Indoor Thermal Environment in a Radiant-Cooled-Floor Office Building in Malaysia

This paper presents the findings of a thermal comfort survey conducted in a tropical green office building. The building was installed with a slab-integrated radiant cooling system, which operated concurrently with an integrated variable-air-volume system. Evaluation of indoor thermal environment was made, where both objective and subjective assessments were carried out. The air temperature, air velocity, relative humidity and surface temperatures were measured by using calibrated sensors. Based on the data collected from the field assessment, the thermal comforts indices with expectancy factor were calculated. The results showed that thermal comfort parameters were within the comfort range specified in a local guideline, except for the air velocity profile. Besides, discrepancy between the Predicted Mean Vote (PMV) with expectancy factor and Actual Mean Vote (AMV) was found, which showed that the former still overestimated the thermal sensation of occupants although an expectancy factor of 0.5 was used.
The effect of water depth on passage success of arctic grayling through two Denil fishways

Abstract Arctic grayling (Thymallus arcticus) are found throughout parts of North America, Europe and Asia. Denil fishways are being used in efforts to recover populations and provide passage for grayling through water diversions in Montana and elsewhere. This study evaluated how water depths in 1.83 m and 3.66 m Denil fishways affect upstream passage for grayling. The study was performed in a laboratory at the Bozeman Fish Technology Center (BFTC) in Bozeman, MT. Fifteen passage trials of different treatment combinations of approach depth and sill depth were performed in each ladder. A total of 310 grayling, in groups of 10 per trial, were allowed to volitionally attempt to swim upstream through each ladder. For the 1.83 m Denil, 81 of 137 participants successfully ascended resulting in an overall passage of 59.1% among all trials compared to 82 of 147 participants successfully ascending the longer structure for an overall passage of 55.8%. A quasi-binomial regression model was used to predict passage success for different combinations of approach and sill depths. Our study showed upstream passage success increased with deeper water depths at the sill for both ladders with the exception of the configuration with the shallowest approach depth and deepest water depth at the sill.
Mobile phone interaction techniques for rural economy development - a review

Rural communities, especially in developing countries, are often neglected in terms of facilities and services that aid their social and economic development. This is evident even in software development processes, in that these groups of users or potential users’ are often not taken into consideration. The resultant effect is that they may not use it or use it sparingly. The objective of this study is to identify the various researches on interaction techniques and user interface design as a first step to the design of suitable mobile interactions and user interfaces for rural users. This research project is also aimed at socio-economic development and adding value to mobile phone users in Dwesa, a rural community in South Africa. This paper presents a literature survey of interaction techniques and user-interfaces. An analysis of the interaction techniques with respect to their suitability, availability of technologies, user capabilities for implementation in a rural context is discussed. Descriptive statistics of users’ current phones interaction facilities in the rural community which briefly illustrates users’ experiences and capabilities in different interaction modes is also presented. KEY WORDS: Interaction Techniques, Mobile phone, User Interface, ICT, Rural Development.
Network Traffic Classification in an NFV Environment using Supervised ML Algorithms

|We have conducted research on the performance of six supervised machine learning (ML) algorithms used for network tra(cid:14)c classi(cid:12)cation in a virtual environment driven by network function virtualization (NFV). The performance-related analysis focused on the precision of the classi(cid:12)cation process, but also in time-intensity (speed) of the supervised ML algorithms. We devised speci(cid:12)c tra(cid:14)c taxonomy using commonly used categories, with particular emphasis placed on VoIP and encrypted VoIP protocols serve as a basis of the 5G architecture. NFV is considered to be one of the foundations of 5G development, as the traditional networking components are fully virtualized, in many cases relaying on mixed cloud solutions, both of the premise-and public cloud-based variety. Virtual machines are being replaced by containers and application functions while most of the network tra(cid:14)c is (cid:13)ow-ing in the east-west direction within the cloud. The analysis performed has shown that in such an environment, the Decision Tree algorithm is best suited, among the six algorithms considered, for performing classi(cid:12)cation-related tasks, and offers the required speed that will introduce minimal delays in network (cid:13)ows, which is crucial in 5G networks, where packet delay requirements are of great signi(cid:12)cance. It has proven to be reliable and o(cid:11)ered excellent overall performance across multiple network packet classes within a virtualized NFV network architecture. While performing the classi(cid:12)cation procedure, we were working only with the statistical network (cid:13)ow features, leaving out packet payload, source, destination-and port-related information, thus making the analysis valid not only from the technical, but also from the regulatory point of view.
Topologies and control of a class of single inductor multiple-output converters operating in continuous conduction mode

In this paper, continuous conduction mode (CCM) operation of a class of single inductor multiple output dc-dc converters is proposed. The power stage combines boost and buck-boost structures loading non-inverted and inverted outputs. The control strategy is based on current mode control under an interleaving scheme, in which each output is controlled by a specific channel. These channels use different dynamic references, which are obtained from a set of proportional-integral (PI) controllers associated to the voltage outputs. The dynamical behaviour of this system is described by means of a large signal averaged model and direct simulations of the switched circuit-based model. Small signal stability analysis of the slow scale dynamics is also carried out by using the averaged model. Finally, some experimental results are provided to validate the theoretical predictions and the numerical simulations.
Economic Impacts of Local Park Visitor Spending on Local Communities: A Case of Mississippi Parks

Local parks serve not only as recreational venues but are often an engine of communities’ economic development. Economic impact analyses provide tangible estimates of economic interdependencies and a better understanding of who benefits from and pays for tourism. Accordingly, this study quantified the economic impacts of visitor expenditures at local parks in Mississippi operated by the Pat Harrison Waterway District (PHWD). Both intercept and online survey methods were employed to collect visitor data from eight parks, and the data were analyzed with the IMPLAN software package to determine economic impacts attributable to visitor spending. On average, per visitor spending at the PHWD parks was $126.28. Visitors’ total local purchasing in the PHWD areas was estimated to be approximately $5.1 million annually. Visitor spending in the PHWD areas was expected to generate: $4.4 million of output, representing revenue plus certain taxes; 68.48 jobs with $1.4 million of labor income; $2.9 million of value added to the gross regional product. The results indicated that visitor expenditures are a significant economic stimulus in a region. In particular, the dollars spent on recreational equipment and supplies, followed by campgrounds and groceries, provided a strong boost to the local economy. The implications of the study are also addressed on the basis of the results.
The Physical Climate at Global Warming Thresholds as seen in the UK Earth System Model

A key goal of the 2015 Paris Climate Agreement is to keep global mean temperature change at 2°C and if possible under 1.5°C by the end of the century. To investigate the likelihood of achieving this target, we calculate the year of exceedance of a given Global Warming Threshold (GWT) temperature across thirty-two CMIP6 models for Shared Socioeconomic Pathway (SSP) and radiative forcing combinations included in the Tier 1 ScenarioMIP simulations. Threshold exceedance year calculations reveal that a majority of CMIP6 models project warming beyond 2°C by the end of the century under every scenario or pathway apart from the lowest emission scenarios considered, SSP1-1.9 and SSP1-2.6 which is largely a function of the ScenarioMIP experiment design. The UK Earth System Model (UKESM1) ScenarioMIP projections are analysed in detail to assess the regional and seasonal variations in climate at different warming levels. The warming signal emerging by mid-century is identified as significant and distinct from internal climate variability in all scenarios considered and includes warming summers in the Mediterranean, drying in the Amazon and heavier Indian monsoons. Arctic sea-ice depletion results in prominent amplification of warming and tropical warming patterns emerge which are distinct from interannual variability. Climate changes projected for a 2°C warmer world are in almost all cases exacerbated with further global warming (e.g. to a 4°C warmer world).
Driver fatigue and drowsiness monitoring system with embedded electrocardiogram sensor on steering wheel

Real time driver health condition monitoring system with drowsiness alertness was proposed. A new embedded electrocardiogram (ECG) sensor with electrically conductive fabric electrodes on the steering wheel of a car was designed to monitor the driver's health condition. The ECG signals were measured at a sampling rate of 100 Hz from the driver's palms as they stay on a pair of conductive fabric electrodes located on the steering wheel. Practical tests were conducted using an embedded ECG sensor with a wireless sensor node, and their performance was assessed under non-stop 2 h driving test. The ECG signals were measured and transmitted wirelessly to a base station connected to a server PC in personal area network environment. The driver's health condition such as the normal, fatigued and drowsy states was analysed by evaluating the heart rate variability in the time and frequency domains.
Driver-Related Delay in Emergency Braking Response to a Laterally Incurring Hazard

Collision analysis often assumes emergency deceleration begins immediately upon completion of the vehicle’s mechanical brake lag. The goal of this study is to determine the driver-related delay from initial brake application to various degrees of deceleration in a simulated emergency and to test variables contributing to the modulation of driver braking. Using the data of Mazzae et al (2003), in which drivers respond to a lateral vehicle incursion, we have assessed the contribution of Time-to-Intersection (TTI), road condition, gender and crash outcome on driver emergency brake response. In the first 0.3 second phase after initial brake application, vehicle behavior was similar across all variables as drivers reached only moderate levels of deceleration. In the second phase, drivers often took more than one second to reach emergency decelerations, especially with a longer TTI. Pavement condition, gender and crash outcome were not significant factors. We discuss the consequences of driver braking behavior in the context of driver feedback and accident reconstruction analyses.
Fuzzy and Regression Modelling of Hard Milling Process

The present study highlights the application of box-behnken design coupled with fuzzy and regression modeling approach for making expert system in hard milling process to improve the process performance with systematic reduction of production cost. The important input fields of work piece hardness, nose radius, feed per tooth, radial depth of cut and axial depth cut were considered. The cutting forces, work surface temperature and sound pressure level were identified as key index of machining outputs. The results indicate that the fuzzy logic and regression modeling technique can be effectively used for the prediction of desired responses with less average error variation. Predicted results were verified by experiments and shown the good potential characteristics of the developed system for automated machining environment.