Miracle-dz/UniFAR-FTUs huggingface dataset:
Calculation of multiplet structure of core p -vacancy levels. II

The multiplet structure of core $2p$ -vacancy levels for 36 ions belonging to $3d$ transition metals have been calculated and their plots presented. Only the ground-state configuration $2{p}^{5}3{d}^{n}$ ($n=1,\dots{},9$) is considered for each ion. The spin-orbit interaction has been incorporated exactly, but the crystal-field effect is ignored. While there is general agreement with the available experimental works, higher-energy resolution in x-ray-photoelectron measurements is necessary for detailed comparison of the spectra presented here. On the theoretical side inclusion of crystal field appears to be important. One should go beyond single-configuration approximation to have the observed satellite structure in $2p$ -x-ray-photoelectron spectra appear in the calculations.
CMOS Closed-Loop Control of MEMS Varactors for Robust Ka-Band Tunable Filters

A closed-loop capacitance sensing and control mixed-signal CMOS circuit with a dedicated sensor electrode and a proportional-integral controller was designed to have a sensitivity of 1 fF, a settling time of $200~\mu \text{s}$ , and a voltage capacity of 150 V. In a hybrid integration with a MEMS varactor, the control circuit could switch the varactor capacitance from 270 to 365 fF in 15 ms and hold it within ±2% between 25 °C and 80 °C. Furthermore, using the varactor as the tuning element of a substrate-integrated-waveguide (SIW) resonator, the control circuit could tune its resonance frequency from 33.2 to 33.9 GHz while keeping it within ±0.08% over a temperature range of 25 °C–90 °C. The control circuit occupied an area of 1.7 mm2 and consumed 6 mW. The present closed-loop-controlled MEMS-tunable resonators could be used in a quartz SIW multi-pole filter to realize tunable, small, light, low-cost, robust, and reliable millimeter-wave filters that are critical to 5G and other future-generation communication and radar systems.
A Novel Peer-to-Peer Local Electricity Market for Joint Trading of Energy and Uncertainty

In the future power system, an increasing number of distributed energy resources will be integrated including intermittent generation like photovoltaic (PV) and flexible demand like electric vehicles (EVs). It has been long thought to utilize the flexible demand to absorb the PV output locally with the technical solution proposed while an effective commercial arrangement is yet to be developed due to the significant uncertainty associated with local generation. This paper proposes a peer-to-peer (P2P) local electricity market model incorporating both energy trading and uncertainty trading simultaneously. The novelty is to match the forecast power with demand having time flexibility and the uncertain power with demand having power flexibility. This market enables more PV uncertainty to be balanced locally rather than propagating to the upper layer system. In the test case, 55.3% of PV forecast error can be balanced locally in the proposed joint market. In comparison, 43.6% of PV forecast error is balanced locally when the forecast power and uncertain power are traded separately in a day-ahead market and a real-time market. The proposed P2P market can also motivate PV owners to improve forecast accuracy.
Importance and Applications of Robotic and Autonomous Systems (RAS) in Railway Maintenance Sector: A Review

Maintenance, which is critical for safe, reliable, quality, and cost-effective service, plays a dominant role in the railway industry. Therefore, this paper examines the importance and applications of Robotic and Autonomous Systems (RAS) in railway maintenance. More than 70 research publications, which are either in practice or under investigation describing RAS developments in the railway maintenance, are analysed. It has been found that the majority of RAS developed are for rolling-stock maintenance, followed by railway track maintenance. Further, it has been found that there is growing interest and demand for robotics and autonomous systems in the railway maintenance sector, which is largely due to the increased competition, rapid expansion and ever-increasing expenses.
Application of the Multi-Vane Expanders in ORC Systems—A Review on the Experimental and Modeling Research Activities

This paper reviews the applications of the multi-vane expanders in ORC (organic Rankine cycle) systems. The operating principle and design of the ORC systems are addressed in the introduction. Then, there is a brief review of the expanders applied in small-power and micro-power ORCs, and a discussion of the multi-vane expander design and operating principle as an introduction to a comprehensive review on the applications of the multi-vane expanders in ORC systems. The different features of the multi-vane expanders—i.e., the design of the expander, its geometrical dimensions and operating conditions, durability, applied working fluid, obtained power output, and efficiency—are analyzed in this paper. This review clearly indicates that multi-vane expanders are a promising alternative to the different types of the expanders applied in ORC systems.
Self-efficacy and employee job performance

Purpose Relationship between self-efficacy (SE) and employee job performance (EJP) is of vital importance for organizations but remains unclear. A more comprehensive understanding demonstrated that perceived workplace support (PWS), motivation to transfer (MT) and transfer of training (TT) had mediating effects on the relationship between SE and EJP. The paper aims to discuss these issues. Design/methodology/approach Empirical data were garnered from 250 alumni of the Engineering Faculty, Rajamangala University of Technology Thanyaburi, Thailand through a questionnaire requesting 62 answers. A research outline was proposed, with structural equation modeling utilized to test the framework, determine the direct influence of SE on EJP and also any indirect influences on EJP through PWS, MT and TT variables. Findings SE increased EJP through enhancing PWS, MT and TT. In addition, PWS, MT and TT were determined as partial mediator factors of SE on EJP. Originality/value Empirical evidence was presented as two mechanisms that helped to explain the effect of SE on EJP. To enhance EJP, organizations should consider contributions associated with SE, PWS, MT and TT when designing and implementing transfer training for effective EJP.
Sliding implant‐magnetic bearing for adaptive seismic mitigation of base‐isolated structures

Sliding isolation system is one of the widely used base isolation systems. Traditional pure sliding base isolation systems, however, lack restoring force and possess low damping energy‐dissipation capacity. To overcome these disadvantages, a novel low‐friction sliding isolation system with adaptive behavior using sliding implant‐magnetic bearing (IMB) has been proposed in this paper. The isolation system consists of an upper block and a base block, both having polyurethane elastomer fillings and circumferentially implanted permanent magnets. This configuration allows an alterable damping force related to the eddy currents associated with bearing movement. Meanwhile, the interactions between magnets deployed in the upper and base blocks provide a capitalized repulsive force. A quasistatic test is performed to appraise the performance of the IMB system. Theoretical analysis and numerical simulation are carried out for quantification of the repulsive force, damping force, and Coulomb friction, which facilitates the modeling of the isolator. In order to verify the mitigation performance of the IMB deployed in seismic structures, a comparative study against the sliding hydromagnetic bearing (HMB) is carried out. It is revealed that the IMB exhibits reliable frictional performance and excellent damping energy‐dissipation capacity, which commits the adaptability of the IMB in protecting the structures from severe vibration induced by high‐frequency earthquake ground motions. Although exhibiting similar mitigation effectiveness to the HMB, the IMB has the capacity of fulfilling a more effective deformation constraint when subjected to pulse‐type ground motions.
Effect of pın spacer apparatus on the propertıes of knıtted fabrıcs from cotton-tencel yarns

Textile industry is expected to meet the wide range of customer demands which result with the obligations requiring the yarn industry to be innovated as well. Although new spinning technologies have been continuing to be introduced to the yarn industry, usage of a modifying apparatus in the existing systems have also been carried out in order to improve yarn quality as well as the fabrics made of those yarns. Yarn imperfections and hairiness have been defined as the undesired yarn parameters leading to machine stops during weaving or the needle clogging in knitting. There is some early literature related to some experimental trials in order to reduce yarn imperfections and hairiness on the existing yarn spinning systems [1–5]. Mirzaei et al. proposed a new developed carding system where the short fibers could remove from the surface with perforated suction rollers and the yarns produced from this system called as VCC (vacuum clean carded) which resulted with yarn improvements especially in terms of hairiness [6]. Wang et al. reported a hairiness reduction technique by introducing a diagonal yarn path arrangement on conventional ring spinning machine by simply diverting the front roller delivery to the adjacent diagonal spindle on the right side [7]. Khurshid et al. made a study for optimizing drafting parameters for ring spinning by using full factorial experimental design. The parameters were selected as break draft, pin spacer size and rubber cots’ hardness. Statistical analyses indicated that pin spacer size has significant effect on yarn unevenness (U%), imperfection index (IPI), hairiness (H) and yarn strength compared to other two chosen factors [8]. Yılmaz and Uysal improved various nozzles having different injector angles, main hole diameters, injector diameters, number of injectors,
Common-Mode Voltage Elimination for Dual Two-Level Inverter-Fed Asymmetrical Six-Phase PMSM

The voltage-source inverter with pulsewidth modulation (PWM) is widely used in motor drive applications owing to the technical maturity and simplicity. However, the inverter operating in the discrete and impulse state generates the high-frequency common-mode voltage (CMV) in the neutral point terminal of stator winding, which induces the negative effects. This article proposes a CMV elimination modulation scheme for the dual two-level inverter-fed asymmetrical six-phase permanent magnet synchronous motor, which has two sets of three-phase windings spatially shifted by 30° electrical degrees. The modulation algorithm shifts the PWM signals with the designed end-to-end cyclic sequence, which can retain the zero-voltage vectors for each sub-CMV of dual three-phase windings and theoretically eliminate the total CMV for the motor drive system. The validation of the proposal is verified by simulations and experiments.
Advances in the Study of the Behavior of Full-Depth Reclamation (FDR) with Cement

Road maintenance and rehabilitation are expected to meet modern society’s demands for sustainable development. Full-depth reclamation with cement as a binder is closely linked to the concept of sustainability. In addition to the environmental benefits of reusing the existing pavement as aggregate, this practice entails significant technical and economic advantages. In Spain, in the absence of tests specifically designed to determine the behavior of recycled pavements stabilized with cement, these materials are treated as soil-cement or cement-bound granular material. This assumption is not entirely accurate, because this recycled pavement contains some bituminous elements that reduce its stiffness. This study aimed to obtain the relationships between flexural strength (FS) and the parameters that describe the pavement behavior (long-term unconfined compressive strength (UCS) and indirect tensile strength (ITS)) and compare the findings with the relationships between these parameters in soil-cement and cement-bound granular materials. The results showed that the similar behavior hypothesis is not entirely accurate for recycled pavements stabilized with cement, because they have lower strength values—although, this is not necessarily an indication of poorer performance.
A study of relationship between transformational leadership and task performance: the role of social media and affective organisational commitment

In today's society, social media have become an almost essential part of everyday life, particularly in the organisations where almost every employee and manager/leader use social media. Recently scholars have started to investigate leader's communication with their employees by using social media. However, leader's role in motivating their followers to use this innovation and increase performance is ignored by researchers. Using social capital theory as a base, the objectives of the present study are to examine the role of social media and affective organisational commitment between the relationship of transformational leadership (TFL) and employee's task performance (ETP). The proposed model was tested with the data collected from 254 employees from insurance companies situated in China. Model was tested by PLS-SEM with using SmartPLS 3. Findings of the study suggest that transformational leadership has a direct positive relationship with task performance and affective organisational commitment as well as indirect positive relationship via social media on task performance. This study contributes to the existing literature in the field of social media, leadership, commitment, and performance. Implications, limitations and future research are discussed.
Sustainable BIM based integrated project delivery system for construction industry in Sri Lanka

Abstract Sustainable Procurement (SP) has emerged as a better solution for issues of conventional procurement. The Integrated Project Delivery (IPD) is an innovative procurement system that facilitates easy BIM adoption. It is evident that the establishment of innovative procurement systems such as BIM-based IPD is essential to adopt SP successfully. This study aims to investigate the suitability of sustainable BIM-based IPD for the construction industry. ‘Concurrent Triangulation Mixed Method’ was adopted by steering a questionnaire survey and semi-structured interviews, where statistical and content analyses were used to analyse collected data respectively. Non-probability sampling was used as a sampling technique for both surveys and sample sizes were 125 for questionnaire survey and 10 for semi-structured interviews. 85% response rate was achieved for the questionnaire survey. Accordingly, 96% of BIM-based IPD principles can be contributed to achieving SP, which recommend the suitability of sustainable BIM-based IPD for the construction industry. However, the limitations of the proposed sustainable BIM-based IPD system can be diminished the expected benefits. Henceforth, appropriate strategies for successful implementation of the proposed system were identified to achieve the expected benefits.
Comparison of Various Factors Affected TID Tolerance in FinFET and Nanowire FET

Analysis of the radiation effects in a device is of great importance. The gate all around (GAA) structure that contributes to device scaling not only solves the short channel effects (SCE) problem but also makes the device more resistant in radiation environments. In this article, the total ionizing dose (TID) simulation of nanowire FET (NW) and FinFET was performed. Both these devices were compared and analyzed in terms of the shift of threshold voltage (VT). The channel insulator was composed of two materials, SiO2 and HfO2. To improve the accuracy of the simulation, the interfacial trap parameter of SiO2 and HfO2 was applied. Based on the simulation result, the NW with a larger oxide area and larger gate controllability showed less VT shift than that of the FinFET. It was therefore proved that NW had better TID resistance characteristics in a radiation environment. The gate controllability was found to affect the TID effect more than the oxide area. In addition, we analyzed the manner in which the TID effect changed depending on the VDD and channel doping.
Vehicle Turning Behavior Modeling at Conflicting Areas of Mixed-Flow Intersections Based on Deep Learning

Performing a left turn in a non-protected phase at mixed-flow intersections is one of the most challenging driving maneuvers. In general, there are three typical behavioral features during this turning process: multiple conflicting objects, multi-layer interaction between vehicles, non-motorized vehicles, and pedestrians, and long-term interaction event chains. In current studies, few models consider the impact of these three typical features simultaneously. This paper proposes a Conv-LSTM model to predict the positions of turning vehicles at each moment during the turning process in these complicated environments. The model uses convolution, which is an essential part of a convolutional neural network (CNN), to extract higher-level features across different time segments. Afterward, a long short-term memory (LSTM) network is employed to obtain the feature sequence with long-term dependence on the features of historical periods. Finally, the initial prediction of the Conv-LSTM is modified by the non-holonomic constraints of vehicles. Left-turning trajectories extracted from a simulation environment are used for model training and testing. As a result, the Conv-LSTM model performs better compared with the CNN and LSTM models. The average offset of every point on the trajectories is reduced by 50.4% and 37.1%, respectively, relative to the CNN and LSTM, and the interactive behaviors during the left-turn process are well reproduced by the proposed model. Another round of testing shows that the generalization ability of proposed model to real environments was initially proved to be feasible with the extracted ground-truth trajectories in the field environment.
A Stochastic Hydraulic Modelling Approach to Determining the Probable Maximum Staging of Ice-Jam Floods

There is a need to determine the maximum backwater staging possible from ice jam flooding along high flood risk prone sections of northern rivers. Similar to the probable maximum flood PMF, which is primarily estimated for the most extreme open-water floods, probable maximum floods from ice jamming PMFice can provide upper thresholds of water level elevations so essential for infrastructure designed in and along cold-region rivers. However, the processes for maximum ice-jam flooding are quite different from those of extreme open-water floods which requires river ice processes to be incorporated into the calculation approach. This paper presents a novel method for estimating the probable maximum staging from ice-jam floods. The method is based on the implementation of a deterministic hydraulic model that mimics ice jam processes and is nested in a stochastic framework to carry out Monte-Carlo simulations to randomise parameter and boundary condition value inputs for many hundreds of simulations. This stochastic approach provides the frequency distributions of many of the boundary conditions used to force the river ice hydraulic model. The stochastic modelling framework yields ensembles of backwater levels from which the maximum level provides an indication of the probable maximum staging possible, the PMFice.
Real-Time Intended Knee Joint Motion Prediction by Deep-Recurrent Neural Networks

Human-assisting intelligent systems demand certain methods to precisely predict motorized limb joint angles. This paper presents the application of deep-recurrent neural networks (RNNs), which is a type of neural network for processing sequential data, for predicting the knee joint angle in real-time. This model is created based on a combination of electromyographic (EMG) signals, (with electrodes being placed on three leg muscles), and inertial measurements of the upper and lower legs. The data collected from different subjects when they performed different gaits were used to construct the model, which was evaluated in a real-time setting. The proposed RNN model based on fusion information contains a balance between computational complexity and prediction accuracy. Results on a microcontroller show that, within a predicted horizon of 50 ms, the model has a low prediction error of ±2.93 degrees.
Rate Bumpless Transfer Control for Switched Linear Systems With Stability and Its Application to Aero-Engine Control Design

This article is concerned with the rate bumpless transfer control issue for switched linear systems with stability. The rate bumpless transfer performance of switched systems is defined for the first time. By joint-design of a switching logic and a series of dynamic output feedback controllers, a rate bumpless transfer control scheme is offered to address the rate bumpless transfer control issue of the systems with stability. A criterion ensuring both the rate bumpless transfer performance and stability of the systems is formed. As a class of complex nonlinear systems, aero-engine control systems can hardly be described by any accurate mathematical models. Switched linear models are often used to describe aero-engine control systems due to their flexibility and reliability. For aero-engines control systems, bumpless transfer is particularly important and must be guaranteed. Thus, the proposed rate bumpless transfer control strategy is applied to the control design of an aero-engine control system. Finally, an experiment on the aero-engine is implemented, showing the effectiveness and applicability of the theoretical results.
A High-Performance Charge Pump Topology for Very-Low-Voltage Applications

This brief presents a novel charge pump suitable to work under very-low-voltage supply. The circuit exploits a novel charge transfer switch made up by the combination of a NMOS and a PMOS transistor whose gates are connected to internal nodes of the charge pump to enhance overdrive voltage. This solution allows working with supply voltage values lower that the MOS threshold voltage. Post layout simulation results using a 65-nm CMOS standard technology show the effectiveness of the proposed solution and its advantage as compared to a traditional latched charge pump in terms of high current driving range, power efficiency and speed.
Influence of Commercial Biochar Fillers on Brittleness/Ductility of Epoxy Resin Composites

Production of versatile composites is a very attractive field. Carbon containing epoxy resins are one of the most relevant reinforced plastics used for a wide number of applications. In this research, we studied the influence of five different commercial biochar samples for the selective enhancement of brittleness and ductility of an epoxy based composite. We proved the relationship between biochar morphology and composites mechanical properties with the aid of FT-IR and FE-SEM analysis. We were able to improve the neat resin mechanical properties by doubling its Young’s modulus and ultimate tensile strength using a wheat straw derived material, and to increase its elongation by 40%, we used a Miscanthus derived biochar.