Miracle-dz/UniFAR-FTUs huggingface dataset:
Why Stay for Less Pay? An Exploratory Study into the Motivations of Accountants in a Faith-Based, Non-Profit Organization in Australia

Retention of top talent represents a critical challenge for non-profit organizations restricted by limited resources. Factors impacting intention to leave have been widely studied. Far less attention has been given to individual work motivation in specific context. This study explored the motivation of accountants in an Australian faith-based non-profit organization to further under-stand the factors that impact satisfaction with employment and intention to remain. The sample represents both management and employee perspectives and reflects a diversity of cultural background. From an analysis of the data a substantive theory was developed. Core theoretical categories: Purpose, Progress, Proximity were identified as primary to the motivation of this sample. The potential of these categories to be operationalized through the dynamic elements of Connection, Growth and Balance presents practical recommendations for management practice. Findings from this inquiry add insight into Spirituality as a distinctive motivation factor.
Secure Message Transmission for V2V Based on Mutual Authentication for VANETs

The advancements in Vehicular Ad Hoc Networks (VANETs) require more intelligent security protocols that ultimately provide unbreakable security to vehicles and other components of VANETs. VANETs face various types of security pitfalls due to the openness characteristics of the VANET communication infrastructure. Researchers have recently proposed different mutual authentication schemes that address security and privacy issues in vehicle-to-vehicle (V2V) communication. However, some V2V security schemes suffer from inadequate design and are hard to implement practically. In addition, some schemes face vehicle traceability and lack anonymity. Hence, this paper’s primary goal is to enhance privacy preservation through mutual authentication and to achieve better security and performance. Therefore, this article first describes the vulnerabilities of a very recent authentication scheme presented by Vasudev et al. Our analysis proves that the design of Vasudev et al.’s scheme is incorrect, and resultantly, the scheme does not provide mutual authentication between a vehicle and vehicle server when multiple vehicles are registered with the vehicle sever. Furthermore, this paper proposes a secure message transmission scheme for V2V in VANETs. The proposed scheme fulfills the security and performance requirements of VANETs. The security analysis of the proposed scheme using formal BAN and informal discussion on security features confirm that the proposed scheme fulfills the security requirements, and the performance comparisons show that the proposed scheme copes with the lightweightness requirements of VANETs.
Analysis of the Regulatory, Legal, and Medical Conditions for the Prescription of Mobile Health Applications in the United States, The European Union, and France

Introduction Mobile health (mHealth) is now considered an important approach to extend traditional health services and to meet the growing medical needs. The prescribability of mHealth applications is a complex problem because it depends on a large number of factors and concerns a wide range of disciplines and actors in the industrial, health, normative, and regulatory domains. Objective Our study correlated data from the scientific literature with data on regulatory developments in the United States, the European Union, and France with the aim of identifying the conditions for the prescription of mHealth applications. Methods The search method adopted was the systematic literature review process by Brereton et al. All empirical evidence from the relevant fields of study was gathered and then evaluated to answer our predefined research questions. The WoS and PubMed databases were queried for the period between 1 January 1975 and 30 November 2020. A total of 165 articles (15 with a direct focus and 150 with an indirect focus on mHealth prescribing) were analyzed/cross-referenced. The ScienceDirect database was consulted to complement the collected data when needed. Data published by international and national regulatory bodies were analyzed in light of the scientific data obtained from the WoS, PubMed, and ScienceDirect databases. Results The International Medical Device Regulators Forum has ensured the international structuring of the regulatory field in collaboration with participating countries. The creation and updating of databases have allowed the tracking of medical device versions/upgrades and incidents. The regulatory organizations of the United States, the European Union, and France are currently consulting healthcare personnel, manufacturers, and patients to establish evaluation criteria for usability and quality of instructions for use that take into consideration patients’ level of literacy. These organizations are also providing support to manufacturers who wish to file marketing applications. Marketing, privacy, and cybersecurity measures are evolving with developments in technology and state cooperation policies. The prescription of mHealth applications will gain social acceptance only if consistency and coordination are ensured at all stages of the process: from pre-design, through verification of medical effectiveness, to ethical consideration during data collection and use, and on to marketing. Conclusion The conditions for mHealth prescribability include the adaptation of international regulation by the different states, the state provision of marketing support, and the evaluation of mHealth applications. For mHealth to gain social acceptance, increased collaboration among physicians, manufacturers, and “information technology stakeholders” is needed. Once this is achieved, MHealth can become the cornerstone of successful health care reform.
An advanced technique for detecting inter-laminar stator core faults in large electric machines

An advanced technique for detecting incipient inter- laminar insulation failure in stator cores of large electric machines is proposed in this paper. The proposed scheme is an offline method based on low flux stator core excitation that employs a new probe. An iron-core probe is placed in the wedge depression area of the stator and scanned axially to detect the variation in the measured flux due to a fault. Two fault indicators that provide clear indica- tion on fault severity and location are proposed in this paper. A 120-MW ac machine stator was tested under a number of inten- tionally inserted fault conditions using portable field equipment recently developed. The experimental results show that the fault existence, location, and severity can be determined reliably using the proposed scheme. It is also shown that the fault detection sen- sitivity and reliability, inspection speed, and user convenience are significantly enhanced.
Simple method to find trace of arbitrary element of a finite field

A novel technique is described for computing the trace over GF(2) of an element from a given finite field GF(2m). This technique requires a primitive polynomial of degree m and a division circuit only, i.e. the usual knowledge of a table of powers of a primitive element of GF(2m) is not required. The computation of the minimal polynomial of an element of GF(2m) is derived as a function of the trace and of a sub-trace function
Prediction of transient electromagnetic environment in power networks

In this paper the authors suggest exact analytic formulations which allow numerical characterization of the transient electromagnetic environment, during operation of circuit breakers or disconnecters, of an electric power transmission network. In this work, an exact method for calculating the transient field radiated by an air insulation substation (AIS) together with the strictest formalism which enables the same calculation to be made for a power transmission line are paid particular attention. Results of simulations for different examples together with results of measurements complete the study. >
High heat flux heat pipe mechanism for cooling of electronics

This paper discusses an advanced heat pipe mechanism that has the potential of achieving heat flux capabilities over 250 W/cm/sup 2/. The mechanism utilizes thermally driven pulsating two-phase flow to achieve high heat flux capability and heat transfer coefficient. A simplified hydrodynamic model was developed to guide the proof-of-concept heat pipe design. A more detailed numerical model was also developed and is solved to predict the heat pipe's thermal performance. Test results of proof-of-concept heat pipes verified the heat flux capability of the advanced mechanism and the accuracy of the simplified model. Pulsating heat pipes are feasible approaches to removing increasing heat dissipation densities in electronic equipment.
Motion Saliency-Based Collision Avoidance for Mobile Robots in Dynamic Environments

Obstacle avoidance is a sizable challenge for robots working in a multiple dynamic obstacle environment. Conventional obstacle avoidance methods often require complex calculations to process all dynamic obstacles detected in the scene. Avoiding dangerous moving objects in time is often difficult when obstacles are many. In this paper, we propose a robot obstacle avoidance method based on motion saliency for dynamic environments. First, we use segmented dynamic objects to calculate the saliency of dynamic objects and segment dangerous dynamic objects. Then, we use the B-spline curve to predict the movement of dangerous dynamic objects and combine it with the nonlinear model predictive control method to avoid dangerous obstacles in the dynamic environment of the robot. Considering the motion behavior of different dynamic objects, our obstacle avoidance strategy is to generate obstacle-free paths by adjusting the speed of the robot or connecting the centers of the rolling variable-size circles. Finally, we conduct a series of experiments to verify the effectiveness of our method.
Improved river flow and random sample consensus for curve lane detection

Accurate and robust lane detection, especially the curve lane detection, is the premise of lane departure warning system and forward collision warning system. In this article, an algorithm based on improved river flow and random sample consensus is proposed to detect curve lane under challenging conditions including the dashed lane markings and vehicle occlusion. The curve lanes are modeled as hyperbola pair. To determine the coefficient of curvature, an improved river flow method is presented to search feature points in the far vision field guided by the results of detected straight lines in near vision field or the curved lines from the last frame, which can connect dashed lane markings or obscured lane markings. As a result, it is robust on dashed lane markings and vehicle occlusion conditions. Then, random sample consensus is utilized to calculate the curvature, which can eliminate noisy feature points obtained from improved river flow. The experimental results show that the proposed method can accurately detect lane under challenging conditions.
Statistical weld process monitoring and interpretation

A statistical process control tool is described that provides weld quality control and documentation by implementing techniques of data trending analysis, tolerance analysis, and sequential analysis. The SPC tool has been used in combination with an arc data acquisition and monitoring system for industrial weld quality assurance. Rules have also been developed for providing equipment/materials diagnostic assistance based on observations of the SPC control chart trends. <<ETX>>
An Artificial Neural Network Approach for Predicting Floodplain

Conceptual models are considered to be the best choice for describing the hydrological and/or hydraulic process in a river. However, enormous requirements for topographic, hydrologic and meteorological data and extensive time commitment for calibration of conceptual models are often prohibitive factors in their practical applications. Artificial neural networks (ANN) can be an efficient way of modeling the runoff process in situations where explicit knowledge of the internal processes is not available. An ANN is a flexible mathematical structure that is capable of identifying complex nonlinear relationships between input and output data sets. This paper presents the use of ANN for predicting the floodplain values. The ANN generated results are evaluated using error functions. For five scenarios the correlation coefficients are 76%, 62%, 67%, 57% and 45%, respectively.
WEBSITES OF INDIAN INSTITUTES OF TECHNOLOGY: A WEBOMETRIC STUDY

The study explored different characteristics of linking analysis of sixteen IIT websites. All the IITs have their own websites and all websites working under homogeneous Domain Name System (DNS) “. ac.in”. The comparisons of ranking of Indian Institutes of Technology (IITs) have been done using WISER, WIF (inlink) and World Rank. The WISER ranking and WIF (in-link) is having correlation i.e. +0.0558824 which implied that there is much association or closeness between two ranking methods. WIF (in-link) rank gave much closer value to the world rank. Hence, the IIT Bombay and IIT Madras secured 1 st position and 2 nd position respectively in WIF (in-link) as well as in world rank; whereas, WIF (in-link) position of IIT Rajasthan shows one position better rank than the world ranking i.e. 15th position. The findings of the study will guide to webmasters and library professionals, so that they can overcome the limitations faced by the users and improve their websites. This study will also help the newly established IITs to improve the world rank with other reputed and older IITs. All the websites of IITs may prepare their world rank to compete with other top institutions websites, like Harvard University and Massachusetts Institute of Technology.
Dynamic Compact Thermal Models Used for Electronic Design: A Review of Recent Progress

Both reliability and performance of electronic systems can be seriously affected by dynamic thermal and electro-thermal effects that take place at the device, chip, package, board and system levels. The marked trend towards miniaturization down to the nano-scale, increases problem complexity due to the large number of devices and multiplicity of physical effects involved. It accentuates also the importance of thermal effects. To deal with such complicated systems, design and analysis heavily rely on compact models. Recent advances have been made to extend the relatively more mature knowledge of static compact thermal models to the dynamic case. Although the theory of dynamic compact models is far from being complete, the wealth of methods proposed has deserved a review highlighting advances made and proposing new axis of research, which is the purpose of this paper.Copyright © 2003 by ASME
Review and Analysis of Tyre Related Accidents and Incidents - an ACARP 1 Study to Improve Tyre & Rim Maintenance and Operational Safety of Rubber Tyred Earthmover Equipment 2

‘Klinge Safe Tyres Produce More & Last Longer’ 1 Failure of rim/locking mechanisms during wheel maintenance is one of the highest cause of all tyre maintenance fatalities (sketch from [1]) Review and Analysis of Tyre Related Accidents and Incidents – an ACARP Study to Improve Tyre & Rim Maintenance and Operational Safety of Rubber Tyred Earthmover Equipment Tilman Rasche, & Tom Klinge Klinge & Co.
A simple empirical noise model of submicron-gate GaAs MESFET for CAD applications

A simple empirical noise model of GaAs MESFETs with submicron gate is presented. From noise parameter measurements on various types of GaAs MESFETs, the intrinsic noise current sources have been found to be represented in simple empirical equations. Hence, the noise parameters can be determined only from the small-signal equivalent circuit, and good agreement is obtained between the model and measurements. The model does not require additional noise measurement and is suitable especially for microwave CAD applications. <<ETX>>
A new class of E-plane integrated millimeter-wave filters

A class of E-plane integrated-circuit millimeter-wave bandpass filters is introduced which provides high skirt selectivity by including inductively coupled stopband sections. The structure is simple and fully compatible with the E-plane manufacturing process and does not require fine-tuning elements. The design procedure is based on an efficient but rigorous modal S-matrix method including higher-order mode interactions and finite metallization thicknesses. Optimized design data are presented for 33 and 94 GHz in Ka- and W-band, respectively. <<ETX>>
The lithospheric effective elastic thickness and its tectonic implications in the Ordos Block and adjacent areas

The Ordos Block, located at the western edge of the North China Block, is a stable rigid block. It is characterized by inactive tectonic activity and rare earthquakes, while the south‐west margin of this block and adjacent areas present the opposite features. There is still considerable ambiguity with regard to the lithospheric mechanical strength in these areas. The effective elastic thickness (Te), widely used for comprehending the mechanism of cratonic deformation and lithospheric dynamics, is a proxy of the lithospheric strength. This study provided detailed two‐dimensional lithospheric Te spatial variations in the Ordos and adjacent areas by using coherence analysis of the topography and Bouguer anomaly. The result showed that the higher Te values in the Ordos Block varied from 80 to 100 km and implied that it is capable of strong rigidity. The lower Te values were distributed over the Qinling Block (20–45 km), the Qilian Block and Haiyuan arcuate tectonic region (20–40 km), as well as the Baryan‐Har Block (15–30 km). By comparing the Te values with the geophysical results, we believe that the higher Te value in the Ordos Block was supported not only by the crust, but also by the upper mantle. In contrast, the mechanical strength of the south‐west margin, especially the Baryan‐Har Block and western Qinling Block, was mainly borne by the brittle upper crust, but the tectonic activity and brittle failure likely resulted in a lower Te. Furthermore, we found that a large number of shallow earthquakes were located above low‐velocity and low‐resistivity layers, most of which probably occurred in the brittle upper crust with small mechanical strength.
Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream

Spike camera is a new type of bio-inspired vision sensor, each pixel of which perceives the brightness of the scene independently, and finally outputs 3-dimensional spatiotemporal spike streams. To bridge the spike camera and traditional frame-based vision, there is some works to reconstruct spike streams into regular images. However, the low spatial resolution ( $400\times 250$ ) of the spike camera limits the quality of the reconstructed images. Thus, it is meaningful to explore a super-resolution reconstruction for spike streams. In this paper, we propose an end-to-end network to reconstruct high-resolution images from low-resolution spike streams. To utilize more spatiotemporal features of spike streams, our network adopts a multi-level features learning mechanism, including intra-stream feature extraction by spike encoder, inter-stream dependencies extraction based on optical flow module, and joint features learning via spike-based iterative projection. Experimental results demonstrate that our network is superior to the combination of state-of-the-art intensity image reconstruction methods and super-resolution networks on simulated and real datasets.
Lifetime Extension of Lithium-Ion Batteries With Low-Frequency Pulsed Current Charging

The pulsed current has been proposed to achieve fast charging and extend the lifetime of lithium-ion (Li-ion) batteries. However, the optimal condition of the pulsed current is still inconclusive in previous studies. This article experimentally investigated the effect of the low-frequency positive pulsed current (PPC) charging on the lifetime and charging performance of Li-ion batteries. A two-stage degradation model of Li-ion batteries is developed to determine the inhibitory effect of the PPC on degradation mechanisms at different aging stages. Moreover, the changes in the internal resistance (IR) and the incremental capacity (IC) curve are provided to thoroughly explore the effects of the PPC on the degradation of Li-ion batteries. Compared with the traditional constant current (CC) charging, the lifetime, maximum rising temperature, and energy efficiency of the Li-ion batteries that were cycled by the PPC charging are improved by 81.6%, 60.5%, and 9.1%, respectively, after 1000 cycles. Therefore, low-frequency PPC charging should be considered as a promising charging strategy for Li-ion batteries.
Enhanced EARQ Protocol for Reliable Routing in Wireless Sensor Networks

Wireless Industrial Sensor Network (WISN) is the heart of automation and control in industrial monitoring. Live updates about situations at hostile areas of the industry are reported to a base station frequently to enhance harmless functioning of the network. EARQ was proposed to enhance the routing operations for wireless industrial sensor networks. It provides real-time, reliable delivery of a packet, while considering energy awareness. In EARQ, a node estimates the energy cost, delay and reliability of a path to the sink node, based only on information from neighboring nodes. The expected energy cost measurement does not provide accuracy; hence the relative energy cost is measured to enhance the lifetime of the WISN while also enhancing the routing reliability in the Enhanced EARQ (EEARQ) protocol proposed in this study. Simulations in the network simulator are used to justify the proof of the enhancement.
Numerical scheme solving the temperature of the interface between gas and heterogeneous solid with phase change

To solve the temperature at the fluid‐solid interface in conjugate heat transfer simulations, a partitioned yet non‐iterative scheme with desirable accuracy has been developed. It takes into account the involved complex effects, for example, heterogeneous solid structure, moving interface, and phase change. The fluid and solid phases are discretized by standard Cartesian and unstructured tetrahedron meshes, respectively. At each time step the moving fluid‐solid interface is tracked with the level‐set function. The non‐iterative solution is achieved by formulating a linear system formed from the discretized interface elements, each of which, either triangular or quadrilateral, is assigned with a respective control volume constructed from adjacent grid points in both fluid and solid phases. The temperature gradient operator is treated by the node‐based Green‐Gauss formula for better robustness if the interface geometry (or mesh) is highly skewed. Numerical results demonstrate the second‐order accuracy with satisfactory robustness even on highly skewed interfaces.
SHRP MATERIALS REFERENCE LIBRARY: ASPHALT CEMENTS: A CONCISE DATA COMPILATION

This report presents a compilation of the chemical and physical properties of the asphalt cements contained in the Strategic Highway Research Program's (SHRP) Materials Reference Library (MRL). In this program, 48 asphalts were collected to provide a common set of materials for use in all the SHRP studies and a long-term library of materials for use by future researchers to validate and expand upon the findings of the SHRP research. The MRL consists of samples of aggregates and asphalt cements that were collected and stored under carefully controlled conditions.