Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy Storage Technology Markets and Application's

Ultracapacitors are becoming widely accepted in the energy storage industry in both standalone and in combination with batteries. Standalone applications, once niche, are now rapidly expanding as the technical and economic benefits of this power dense component become more widely understood. Combination examples continue to proliferate, primarily in battery electric and hybrid electric commercial transportation segments such as transit buses and trains. The ultracapacitor offers a fast energy buffer to advanced chemistry energy reservoirs such as nickel metal hydride and lithium batteries and offer an opportunity for truly energy optimized battery systems. This presentation will discuss trends in energy storage systems, advanced chemistry batteries such as nickel-hydrogen and lithium-ion and why such components would benefit from working in combination with carbon capacitors. The presentation will focus on the strengths and weakness of each technology and why the active parallel combination of ultracapacitor plus electronic converter with the lithium-ion battery is a complimentary and synergistic alternative.
Lonely in the dark: trauma memory and sex-specific dysregulation of amygdala reactivity to fear signals

Loneliness exacerbates psychological distress and increases the risk of psychopathology after trauma exposure. The prevalence of trauma-associated disorders varies substantially between sexes, and accumulating evidence indicates sex-specific effects of loneliness. However, it is still unclear whether a lack of social connectedness affects trauma-induced intrusions and the neural processing of fear signals. Moreover, it is uncertain, whether loneliness plays a different role in women and men. We used a prestratification strategy and recruited n=47 (n=20 women) healthy individuals with high loneliness and n=35 controls (n=18 women). Participants were exposed to an experimental trauma and evoked intrusive thoughts in daily life were monitored for three consecutive days. Functional magnetic resonance imaging was used to assess neural habituation to fearful faces and fear learning (conditioning and extinction) prior to trauma exposure. The total number of intrusions and amygdala reactivity in neural fear processing served as the primary study outcomes. Our results revealed a significant interaction between loneliness and sex such that loneliness was associated with more intrusions in men, but not in women. A similar pattern emerged at the neural level, with both reduced amygdala habituation to repeated fearful faces and amygdala hyperreactivity during the conditioning of fear signals in lonely men, but not in women. Our findings indicate that loneliness may confer vulnerability to intrusive memories after trauma exposure in healthy men and that this phenotype relates to altered limbic processing of fear signals. Collectively, interventions targeting social connectedness may mitigate the sequelae of traumatic experiences.
Comparison between simulations and measurements of large signal and nonlinear noise behaviors of MMIC analog frequency divider by two

For the first time, the large signal and nonlinear noise behaviors of an analog frequency divider has been fully simulated and measured: comparisons between predicted and measured results of this circuit are given. The circuit designed is a monolithic microwave integrated circuit (MMIC) X-band 8.2-4.1 GHz analog frequency divider by two. The large signal analysis relies on the open-loop method extended to synchronous systems. The simulation of noise behavior of such a circuit has been performed by means of the nonlinearities conversion matrices and noise generators correlation matrices analysis.
Task Offloading and Resource Allocation Mechanism of Moving Edge Computing in Mining Environment

The mine improves the response speed of the IoT control system by sinking computing services into the MEC Server. In this case, computing resources are scattered and it is difficult to cope with the changing computing requirements of mobile terminal devices. To solve this problem, we optimize from the supply side by build P.M. R (problem of maximum revenue) problem. In P.M. R, we comprehensively consider the air rate of wireless communication, network delay, computing resource demand and other factors that affect the offloading task of terminals. To obtain the relative optimal solution of P.M. R, we construct a task unloading algorithm based on particle swarm optimization. And we set up a simulation experiment environment according to the mine network parameters. The experimental results show that this task unloading algorithm can effectively improve the efficiency of computing facilities in the system and achieve load balancing.
Mutual impedance formula between two arbitrary antenna elements

The mutual impedance formula between two arbitrary antenna elements is constructed based on the Fourier analysis in angle dependence and the appropriate choosing of the expansion functions in distance dependence. The unknown coefficients in the formula are obtained through solving simultaneous equations based on numerical sampling by using a full-wave solver or based on the measured data. This formula is applicable to arbitrary types of antenna elements. The two elements could be the same or different. The accuracy of this trained formula is observable by comparing the training set and the testing set. It is therefore controllable. This formula is not only useful in the analysis of the mutual impedance between two isolated elements but also will be useful in array problems where the mutual coupling effect should be taken into account in a finite array environment. The validity of the proposed formula is confirmed through comparisons between the results from this formula and those from the full-wave commercial software.
Inclined slot coupled hemispherical dielectric resonator antenna

A microstrip line coupled dielectric resonator antenna with an inclined and offset slot in the common ground plane has been analyzed. Excitation of the TE111 mode in this configuration is studied. It is also seen that the slot geometry and offset can be optimized to excite the higher order TM101 mode. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 1527–1530, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23414
Policy Rules Consistent with the FOMC’s Longer-Run Goals and Monetary Policy Strategy

Abstract The Federal Open Market Committee’s revised Statement on Longer-Run Goals and Monetary Policy Strategy implements flexible average inflation targeting and mitigates shortfalls, rather than deviations, of employment from its maximum level. We show how the Taylor, balanced approach, and balanced approach (shortfalls) rules in the Monetary Policy Report could be modified to be consistent with the revised statement. Federal funds rate prescriptions from the consistent rules are both closer to the liftoff from the effective lower bound in December 2015 and provide a better fit to the actual federal funds rate than the rules currently included in the Report. The prescriptions from the balanced approach rules are closer to the liftoff and provide a better fit than the prescriptions from the Taylor rules.
Multi-horizon reactive and deliberative path planning for autonomous cross-country navigation

As part of the Raptor system developed for DARPA's PerceptOR program, three path planning methods have been integrated together in the framework of a command-arbitration based architecture. These methods combine reactive and deliberative elements, performing path planning within different planning horizons. Short range path planning (< 10 m) is done by a module called OAradials. OAradials is purely reactive, evaluating arcs corresponding to possible steering commands for the proximity of discrete obstacles, abrupt elevation changes, and unsafe slope conditions. Medium range path planning (<30 m) is performed by a module called Biased Random Trees - Follow Path (BRT-FP). Based on LaValle and Kuffner's rapidly exploring random trees planning algorithm, BRT-FP continuously evaluates the local terrain map in order to generate a good path that advances the robot towards the next intermediate waypoint in a user-specified plan. A pure-pursuit control algorithm generates candidate steering commands intended to keep the robot on the generated path. Long range path planning is done by the Dynamic Planner (DPlanner) using Stentz' D* algorithm. Use of D* allows efficient exploitation of prior terrain data and dynamic replanning as terrain is explored. Outputs from DPlanner generate intermediate goal points that are fed to the BRT-FP planner. A command-level arbitration scheme selects steering commands based on the weighted sum of the steering preferences generated by the OAradials and BRT-FP path planning behaviors. This system has been implemented on an ATV platform that has been actuated for autonomous operation, and tested on realistic cross-country terrain in the context of the PerceptOR program.
Tourists’ Expectations and Satisfaction towards Ecotourism in Goa: An Empirical Study

Goa is famous for its sun and sand and is also blessed with natural beauty along with various heritage sites, churches and temples. Goa is marketed worldwide as a beach tourism destination, which reached its optimum level. Therefore, there is a need to promote other avenues of tourism. The current study focuses on ecotourism in Goa. For the growth of a specific tourist destination through strategic planning, it is necessary to understand the nature of tourist contentment and discontent. This research is necessary as it will provide a clear image of satisfaction and unhappiness with certain facilities. Gap analysis is used to examine the gap between tourists’ expectations before visiting and satisfaction level after the visit at various ecotourism sites with reference to the various ecotourism services available. A negative gap was found with respect to all the 29 variables used to measure tourists’ satisfaction with the ecotourism services. The ecotourism services available in Goa need proper attention, so that Goa can be promoted as a world class tourism destination. There is a need for destination planners to undertake measures for improving and maintaining appropriate ecotourism services in Goa.
Family of two-switch soft-switched asymmetrical PWM DC/DC converters

In this paper, the inter-relationships among two-switch, soft-switched, PWM converters are explored. Starting from a generalized two-switch converter operated under an asymmetrical PWM scheme, the paper first conceptually derives the nonisolated converters-both hard-switched and soft-switched types. Isolated versions with output inductive and capacitive filtering are then introduced. The inclusion of the primary side leakage inductance to aid the ZVS mechanism in the inductive filtering variation is addressed. The operations of the converters are discussed in detail. Results of the DC analysis for all the converters are also given. Finally, comparative evaluation of the different converters is provided. All the converters generally have the advantages of lossless switching, minimum switch voltage stress, fixed frequency operation and minimum component count. Though many of the converters have been described elsewhere, the paper integrates them under a common qualitative and theoretical framework. <<ETX>>
Horses for courses: relating innovation diffusion concepts to the stages of the diffusion process

The research uses a sociological perspective to build an improved, context specific understanding of innovation diffusion within the UK construction industry. It is argued there is an iterative interplay between actors and the social system they occupy that directly influences the diffusion process as well as the methodology adopted. The research builds upon previous findings that argued a level of best fit for the three innovation diffusion concepts of cohesion, structural equivalence and thresholds. That level of best fit is analysed here using empirical data from the UK construction industry. This analysis allows an understanding of how the relative importance of these concepts' actually varies within the stages of the innovation diffusion process. The conclusion that the level of relevance fluctuates in relation to the stages of the diffusion process is a new development in the field.
Study of different triangulo - sinusoidal strategies of two five - levels of cells overlapped VSI. application to double star induction machine drive

This paper presents a model and control strategy of the two five levels of cells overlapped voltage source inverter. In the first part, we present the knowledge model of this inverter by using the switches and half arms connection functions. Then, we propose a control model of this converter by using the generating functions. In the second part, we develop a model of this machine (DSIM) by using a Park transformation. In the last part, we develop triangulo-sinusoidal strategy with four carries. The performances of the drive of double star induction machine fed by the two five levels of cells overlapped VSI controlled by these algorithm are presented and analysed. The results obtained are full of promise to use this multilevel inverter in high. voltage and great power applications as electrical traction.
Determination of optimal contract capacities and optimal sizes of battery energy storage systems for time-of-use rates industrial customers

This paper sets up a formulation to determine the optimal contract capacities and optimal sizes of battery energy storage systems for time-of-use rate customers. The advanced multi-pass dynamic programming and expert knowledge base rules are then applied to solve this problem. Two industrial customers of the Taiwan Power Company System are used as examples to test this algorithm. Results show that the optimal sizes of battery energy storage systems and the optimal contract capacities of customers during the life cycle of battery energy storage systems can be achieved by this algorithm; therefore the maximum economic benefits of battery energy storage systems for time-of-use rate customers can be estimated. >
Awareness and perception of COVID-19 among final-year dental students, Sudan

Background: Infection with COVID-19 has serious consequences, which may lead to severe pneumonia and even death. There is a high risk of infection between dental personnel and patients due to working in proximity while performing dental treatments. Objective: This study aims to assess the awareness about COVID-19 and its preventive measures among final-year dental students. Methods: Institutional-based cross-sectional study, among the final-year Bachelor of Dental Surgery students, the sample size was 288 participants during the period from August 8, 2020, to August 15, 2020. The data were collected using a self-administered questionnaire formed of a series of close-ended questions about sociodemographic characteristics, knowledge about COVID-19, prevention in dental clinic, and perception toward COVID-19. Data were analyzed using the Statistical Package for Social Science, version 25 (SPSS 20.0, Chicago, IL). The Chi-square test was used for the significance level, which was set at a value of P = 0.05 or less for all analyses. Results: Form 288 students, the average age (measured in years) was 23.31 ± 1.8. (means ± SD). A total of 224 (77.8%) respondents were females. For COVID-19-related knowledge, 282 (97.9%) students possessed a high knowledge level, 4 (1.4%) had moderate knowledge, and only 2 (0.7%) showed poor knowledge. Also, 95% of participants responded correctly with a total agreement to questions regarding infection control measurements, the least agreement response (85%) was for: avoid aerosol-generating procedures whenever possible. There are statistically significant relations between knowledge score and gender (P = 0.024), knowledge score and source of knowledge (P = 0.017), and perceived severity and knowledge score (P = 0.001). Conclusion: This study illustrated that the knowledge score among participants is good. There are associations between gender and level of knowledge, knowledge score and source of knowledge, and perceived severity and knowledge score.
The Application of Computational Fluid Dynamics to the Assessment of Green Features in Buildings: Part 2: Communal Sky Gardens

Sky garden is regarded as one of the green features in high-rise building design. Located in the mid-level of a high-rise, it serves as recreational garden for communal use. Amplifying the natural wind, and combined with the shading effect, a sky garden has its own thermal and wind environment. In this paper, CFD (computational fl uid dynamics) technique is applied to model the wind and thermal comfort of two possible confi gurations of a sky garden: one with 4 sides open and the other with 2 sides open. The wind data obtained from the Hong Kong Observatory are analysed and divided into three cases: i) summer, ii) winter, and iii) days affected by tropical cyclone (TC). For typical summer and winter wind conditions, thermal comfort is analysed, and for the tropical cyclone wind conditions, the wind comfort is analyzed. It is found that the thermal comfort with four openings is better than that with two openings in summer and vice versa in winter. The results also reveal that higher wind speed provides good thermal comfort in summer but poor thermal comfort in winter. The wind comfort level at typhoon days at communal sky gardens would be in the category of ‘uncomfortable’ or ‘very uncomfortable’. Finally, limitations of CFD simulation and its complimentary application with wind tunnel tests are briefly discussed.
Hydrogel Microparticles for Fluorescence Detection of miRNA in Mix-Read Bioassay

Herein we describe the development of a mix-read bioassay based on a three-dimensional (3D) poly ethylene glycol—(PEG)-hydrogel microparticles for the detection of oligonucleotides in complex media. The key steps of hydrogels synthesis and molecular recognition in a 3D polymer network are elucidated. The design of the DNA probes and their density in polymer network were opportunely optimized. Furthermore, the diffusion into the polymer was tuned adjusting the polymer concentration and consequently the characteristic mesh size. Upon parameters optimization, 3D-PEG-hydrogels were synthetized in a microfluidic system and provided with fluorescent probe. Target detection occurred by double strand displacement assay associated to fluorescence depletion within the hydrogel microparticle. Proposed 3D-PEG-hydrogel microparticles were designed for miR-143-3p detection. Results showed 3D-hydrogel microparticles with working range comprise between 10−6–10−12 M, had limit of detection of 30 pM and good specificity. Moreover, due to the anti-fouling properties of PEG-hydrogel, the target detection occurred in human serum with performance comparable to that in buffer. Due to the approach versatility, such design could be easily adapted to other short oligonucleotides detection.
On line identification method of forming defects of small module plastic gears

Due to its anisotropic shrinkage characteristics and the instability of forming process, small module plastic gears are easy to produce complex appearance defects after forming. The traditional manual detection can not accurately identify all kinds of defects, let alone complete the full inspection and statistical analysis. Therefore, a prototype of small module plastic gear on-line detection and sorting system based on machine vision is developed. The system has the function of on-line classification and identification of plastic gear surface defects, and can realize full inspection. The watershed algorithm based on local extreme value and Canny edge extraction algorithm can accurately extract the gear defect area, mark the defect location and count the defect characteristics, complete the determination of defects such as size out of tolerance, shrinkage, burr, surface foreign matter and incompletely filled part in 0.3s, and display the defect location through the human-computer interaction interface, with a discrimination accuracy of 95%.
Hybrid flow betweenness approach for identification of vulnerable line in power system

Most previous research on the identification of vulnerable line in power systems based on topology betweenness or electrical betweenness suppose that power flow is transferred only along the shortest path. In this study, the hybrid flow betweenness (HFB) is defined by considering the actual path of power flow. The betweenness covers the direction of power flow and the maximum transmission capacity of line with a more comprehensible physical background. Electrical coupling degree between the lines and outage transfer distribution factor is also considered in this model to quantify physical network connection and fault effect between lines. The tenacity and directed global efficiency are introduced to measure the effects on network structure and power transfer caused by fault of vulnerable line. The simulation results of the IEEE-57 bus system and the China southern power grid show that the lines with higher HFB play important role in network structure and power transfer of power grid. The chain attack on these lines would make serious damage on system. The results prove that the model proposed in this study can fully embody the physical characteristics of the power grid, efficiently and accurately identify the critical line of power grid.
A method for generation of optical FM signal through injection locking

This paper proposes a scheme for the generation of optical frequency modulation (FM) signals through direct modulation and injection locking of semiconductor lasers. The method is simple and effective. The amplitude modulation of the AM-FM optical carrier generated through direct modulation can be drastically reduced by an injection-locked semiconductor laser. For this purpose, the AM limiting property of the injection-locked semiconductor laser has been investigated theoretically in detail. The FM index and the second harmonic distortion of the resulting FM signal at the output of the AM limiter has also been calculated.
Assessing Electronic Government Systems Success-An Integrated Framework-

This research designed to theoretically address and empirically examine research issues related to the question of how the success of EG can be assessed. It argues that the technology acceptance literature and the parallel user satisfaction stream are not competing approaches to understanding IT usage and value. That is, user satisfaction and TAM represent complementary steps in a causal chain from key characteristics of system design, to beliefs and expectations about outcomes that ultimately determine usage. Data were collected using a written survey as part of a free simulation experiment. A total of 281 usable site evaluations were obtained. Hypothesised relationships were tested through three phases, using multiple and stepwise regression analysis. The results indicate that information quality, system quality, perceived usefulness, use, and user satisfaction benefit are valid measures of EG success. The hypothesized relationships between the success variables were significantly supported. The findings provide several important implications for EG research and practice.