Miracle-dz/UniFAR-FTUs huggingface dataset:
MIXTURE PREPARATION EFFECTS ON DISTRIBUTED COMBUSTION FOR GAS TURBINE APPLICATIONS

Distributed Combustion is now known to provide significant improvements to the performance of gas turbine combustors. Key features of distributed combustion include uniform thermal field in the entire combustion chamber for significantly improved pattern factor and avoidance of hot-spot regions that promote thermal NO x emissions, negligible emissions of hydrocarbons and soot, low noise, and reduced air cooling requirements for turbine blades. Distributed combustion necessitates controlled mixing between the injected air, fuel, and hot reactive gases from within the combustor prior to mixture ignition. The mixing process impacts spontaneous ignition of the mixture to result in improved distributed combustion reactions. Distributed combustion can be achieved in premixed, partially premixed, or non-premixed modes of combustor operation with sufficient entrainment of hot and active species present in the combustion zone and their rapid turbulent mixing with the reactants. Distributed combustion with swirl is investigated here to further explore the beneficial aspects of such combustion under relevant gas turbine combustion conditions. The near-term goal is to develop a high-intensity combustor with ultra-low emissions of NOx and CO and a much improved pattern factor and eventual goal of near-zero emission combustor. Different fuel injection scenarios are examined with focus on mixing to achieve distributed reaction conditions and ultra-low emissions. In all the cases, air was injected tangentially to impart swirl to the flow inside the combustor. Ultra-low NO x emissions were found for both the premixed and non-premixed combustion modes for the geometries investigated here. Results showed very low levels of NO (~10 PPM) and CO (~21 PPM) emissions under non-premixed mode of combustion with air preheats at an equivalence ratio of 0.6 and a moderate heat release intensity of 27 MW/m3-atm. Further enhancement of the mixing process using dilution reduced NO emission to 4.6 PPM which is nearly equivalent to emissions under premixed combustion mode with reduced CO emissions compared to non-premixed combustion mode. Results are also reported on lean stability limits and OH* chemiluminescence under different fuel injection scenarios for determining the extent of distribution combustion conditions. Numerical simulations have also been performed to help develop an understanding of the mixing process for better understanding of ignition and combustion.
Cooperative Multi Target Tracking Using Multi Sensor Network

Abstract Sensors provide a key feedback link allowing robotic and autonomous systems to react to their environments. Without this feedback, robotic and autonomous systems will operate in an uncontrolled manner, since they don’t have the ability to perceive and respond to their environments. The limited capabilities of static sensors especially in complex applications and environments force the use of multiple sensors operating dynamically. This paper addresses the development of multiple objects tracking system using multiple mobile sensors. For the purposes of surveillance and security, trackers use an Extended Kohonen neural network to track the moving targets in their environments. The proposed tracking algorithm can be used for single and multiple target tracking. A clustering algorithm is used in order to minimize the number of active trackers over time and hence save energy. An auction based algorithm is used for the purpose of optimizing the cooperation between trackers. Quantitative and qualitative comparisons with other recent multi target tracking approaches show that our proposed tracking algorithm can provide a good coverage, and a better energy saving.
Introduction to the Basic Technology of Stealth Aircraft: Part 2—Illumination by the Enemy (Active Considerations)

One of the most significant considerations of stealth technology is the technique used to reduce the probability of detection of an aircraft by radar. This paper is concerned with the nature of the various contributions to the radar cross section, and the means by which their effect may be reduced. A survey of the impact of stealth technology on some specific designs is included, from which the conclusion is drawn that the achievement of good stealth characteristics demands attention to both the overall configuration and detail design.
Construction Product/Service and Customer Satisfaction

Construction has typically been viewed as a production process, with the product being the completed facility. In addition to providing this product, contractors also provide service. Construction is examined in terms of the service product, service delivery, and service environment. The concept of service encounters is examined in the context of perceived quality and customer satisfaction. Determinants of service quality are analyzed in terms of how they influence perceived quality. The relationship between the criteria used by customers in choosing suppliers and the factors driving satisfaction are examined, and results of two studies of factors involved in contractor selection and satisfaction are reviewed. These factors are the contractor-customer relationship, the contractor's project management skills, the contractor's safety performance, whether the contractor has a prepared/skilled workforce, and the cost of the work.
Independent voltage and frequency controller for a parallel operated isolated three-phase asynchronous generators

This paper presents a voltage and frequency controller (VFC) for parallel operated isolated asynchronous generators (IAGs) in pico and micro hydro systems feeding 3-phase 4-wire loads. The proposed VF controller regulates the system voltage and frequency in decoupled manner through control of reactive and active powers. The controller is a combination of a static compensator (STATCOM) and an electronic load controller (ELC). The STATCOM is used for reactive power compensation for voltage control, load balancing, harmonic elimination and neutral current compensation while an ELC is used for active power control at the terminals of the generators, which in turn keeps the system frequency constant. Modelling of the proposed generating system is carried out in MATLAB-based environment and a set of simulation results are given to demonstrate the performance of the controller in an isolated electrical distribution system using SIMULINK and PSB (Power System Block sets) toolboxes. Copyright © 2008 John Wiley & Sons, Ltd.
Complete Genome Sequence of Arachnia rubra Strain DSM 100122T, a Cultured Member of the Human Oral Microbiome

We report the complete genome of Arachnia rubra strain DSM 100122T. The genome is 3.32 Mb, with a GC content of 64.2%. The genome contains 3,005 predicted genes, including 2,923 predicted protein-coding genes. ABSTRACT We report the complete genome of Arachnia rubra strain DSM 100122T. The genome is 3.32 Mb, with a GC content of 64.2%. The genome contains 3,005 predicted genes, including 2,923 predicted protein-coding genes.
Genome Sequence of Pseudomonas sp. Strain LAP_36, A Rhizosphere Bacterium Isolated from King George Island, Antarctica

Pseudomonas sp. strain LAP_36 was isolated from rhizosphere soil from Deschampsia antarctica on King George Island, South Shetland Islands, Antarctica. Here, we report on its draft genome sequence, which consists of 8,794,771 bp with 60.0% GC content and 8,011 protein-coding genes. ABSTRACT Pseudomonas sp. strain LAP_36 was isolated from rhizosphere soil from Deschampsia antarctica on King George Island, South Shetland Islands, Antarctica. Here, we report on its draft genome sequence, which consists of 8,794,771 bp with 60.0% GC content and 8,011 protein-coding genes.
Low and High Temperature Performance of 600V 4H-SiC Epitaxial Emitter BJTs

The paper presents a study of the different aspects of the temperature dependent performance of a 4H-SiC epi-emitter Bipolar Junction Transistor particularly the low temperature performance. Some critical device physics related factors that affect the forward active performance of the device are explored and the device behavior is modeled up to 100K. We present for the first time the experimental low-temperature (down to 100K) performance of 4H-SiC epi-emitter BJTs and the determination of the temperature beyond which the current gain starts to increase with temperature. We have also corroborated these results with 2-dimensional device simulations.
Mismatch of Policy Theory and Policy Practice in Eastern Europe: Cross-Sectoral Comparison of Croatian Policymaking

Abstract The aim of the paper is to improve empirical policy theory by examining Eastern European policymaking, using Croatia as a case for analysis. Data sources are published studies that describe 11 sectors from diverse policy areas. The whole material was coded by the rules of qualitative content analysis. The results show 15 basic features of Croatian policymaking combined into six policymaking types: administrative, analytical, economic, external, incremental, and political. All detected policymaking types were successfully connected to several policy concepts, theories, frameworks, and approaches. The analysis revealed three points of theory-practice mismatch that are fruitful for theoretical improvements: the need for mainstreaming Europeanization and policy transfer into policy theory; the need to modify rationalistic approaches for more empirical studies on obstacles and barriers to rationality in policymaking; and the need for adapting actor-centered approaches for a more broad application and empirical research of policymaking in Eastern Europe.
Comparative study on current control for three-phase SVPWM voltage-source converter in synchronous rotating frame using complex vector method

A complex vector model for three-phase SVPWM voltage-source converter is presented in this paper. It has been proved more convenient to compare the performance of different current controller topologies in the synchronous rotating frame by means of complex vector root locus and complex vector frequency-response functions. An improved synchronous rotating PI current controller is proposed, whose validity and feasibility is verified by detailed simulation and experimental results.
Scandinavian Journal of Pain

Objectives: The prevalence of pain medication use for adolescent knee pain and factors associated with use are notwell understood. This studyaimed todetermine the selfreported use of pain medication for knee pain and identify factors associated with use in adolescents (age 10–19) with longstanding knee symptoms. Methods: In this exploratory cross-sectional study, we performed a secondary analysis of data previously collected in 323 adolescents with longstanding knee pain. Factors associated with pain medication use were assessed using multivariable logistic regressions. Analyses were repeated with stratification byage, sex, sport participation frequency, knee pain duration, and knee pain intensity. Results: Among 323 adolescents (mean age 14.4 ± 2.5, 73% female), 84% had patellofemoral pain, (perior retropatellar pain during loaded bending of the knee) and 16% had Osgood–Schlatter Disease (apophysitis with swelling and localized pain at the tibial tuberosity). Twenty-one percent (95% CI 16–25%) of adolescents reported pain medication use for their knee pain, with no difference in usage between those ≤ vs. > 15 years of age (21%, 95% CI 16–27% vs. 20%, 95% CI 13–29%). Adolescents with patellofemoral pain reported greater usage than their counterparts with Osgood–Schlatter Disease (22%, 95% CI 17–28% vs. 12%, 95% CI 4.5–24.3%). The most consistent factor associated with use was knee-related symptoms, observed in both the overall (OR 0.97, 95% CI 0.94–0.99) and stratified analyses (ORs ranged from 0.89 to 0.96). Conclusions: Approximately one in five adolescents with longstanding knee pain reported pain medication use, particularly in adolescents with patellofemoral pain. Kneerelated symptoms most consistently associated with the use of pain medications in this population. Future longitudinal studies with data collected at multiple time-points are needed to validate these findings. Implications: Self-reported pain medication use is common in adolescents with longstanding knee pain, even though whether pharmacological therapy is the best pain management option at this young age is debatable. Reliance on pain medication at an early age could potentially hamper the development of healthy pain coping strategies and increase the risk of dependence and misuse later in life. Future studies should assess the safety, efficacy, and risks of long-term use of pain medications for adolescent knee pain.
Second Generation Wavelet Finite Element and Rotor Cracks Quantitative Identification Method

The presence of cracks in the rotor is one of the most dangerous and critical defects for rotating machinery.Defect of fatigue cracks may lead to long out-of-service periods,heavy damages of machines and severe economic consequences.With the method of finite element,vibration behavior of cracked rotors and crack detection was received considerable attention in the academic and engineering field.Various researchers studied the response of a cracked rotor and most of them are focused on the crack detection based on vibration behavior of cracked rotors.But it is often difficult to identify the crack parameters quantitatively.Second generation wavelets (SGW) finite element has good ability in modal analysis for singularity problems like a cracked rotor.Based on the fact that the feature of SGW could be designed depending on applications,a multiresolution finite element method is presented.The new model of SGW beam element is constructed.The first three natural frequencies of the rotor with different crack location and size were solved with SGW beam elements,and the database for crack diagnosis is obtained.The first three metrical natural frequencies are employed as inputs of the database and the intersection of the three frequencies contour lines predicted the normalized crack location and size.With the Bently RK4 rotor test rig,rotors with different crack location and size are tested and diagnosed.The experimental results denote the cracks quantitative identification method has higher identification precision.With SGW finite element method,a novel method is presented that has higher precision and faster computing speed to identify the crack location and size.
Vibration and current monitoring for detecting airgap eccentricity in large induction motors

The paper reports on a study carried out to detect airgap eccentricity in large 3-phase induction motors. The philosophy of using a unified online monitoring strategy is presented and the reasons for selecting line current and frame vibration as the monitored parameters are discussed. A theoretical analysis is presented which predicts the presence of unique signature patterns in the current and vibration spectra which are only characteristic of eccentricity. The theoretical predictions are verified by experimental results from a special fault producing test rig and on-site tests in a power station.
Compulsory Citizenship Behavior leads to Counterproductive Work Behavior: A Multiple Mediation Path

Based on the theory of social exchange and the theory of conservation of resources, this research discusses the mechanism between compulsory citizenship behavior and counterproductive behavior, and studies the roles of emotional exhaustion, moral disengagement and employee silence in the relationship between them. Based on the effective sample data of 525 employees in manufacturing enterprises, structural equation model and Bootstrap method were used to test the sample data. The results show that there is a significant positive correlation between compulsory citizenship behavior and counterproductive behavior. Emotional exhaustion, moral disengagement and employee silence played a chain mediating role in the relationship between the two.
DyMonD: dynamic application monitoring and service detection framework

Cloud applications are often implemented as distributed services that call each other, creating complex application call graphs. Tracking such call graphs is crucial to diagnose and resolve performance issues. This paper presents DyMonD, a holistic framework that dynamically monitors the software layer of the cloud network to track dependencies between application components and derive performance metrics. It adapts a deep learning model to identify the service type of each component, and visualizes all information in form of a call graph. Our evaluation results confirm that DyMonD can infer the proper call graph and identify the services at run-time with acceptable overhead and good accuracy.
Methods of array element localization for a towed underwater acoustic array

The location of the hydrophones on a towed underwater acoustic array as a function of time (array element localization) is needed for signal processing. Methods to perform this localization using least squares polynomial fitting to data from depth sensors, heading sensors, and sensors detecting a ping from a single source are discussed. Arc distance along the array is used as the independent parameter so that all solutions are constrained to be space curves. Examples of application to real data are presented, and techniques to discriminate against bad sensor data are discussed. >
The Effect of Perceived Control on Behavioral Intention to Apply for Credit Cards Online: –Mediating role of perceived risk, moderating role of regulatory focus

With the development of the Internet, researchers have begun to focus on the issue of perceived control in the online environment. The purpose of this study is to investigate whether perceived control has an impact on the behavioral intention to apply for credit cards online and the mechanism of action. By looking into the role played by perceived risk and regulatory focus, this study proposes a model of the relationship between perceived control, perceived risk, regulatory focus and behavioral intention to apply for credit cards online . The results show that: (1) consumers' perceived control has a positive effect on their behavioral intention to apply for credit cards online; ( 2 ) perceived risk plays an mediating role between perceived control and behavioral intention;( 3 ) regulatory focus plays an moderating role ,it moderates the mediating role of perceived risk between perceived control and behavioral Intention.
The Influence of Belief in a Just Word on Academic Performance of Junior High School Students during Home Schooling– Mediating Role of Psychological Resilience and Learning Engagement

Abstract: Objective : The study aims to explore the influence of belief in a just world (BJW) on junior high school students’ academic performance and the longitudinal mediating effects of psychological resilience and learning engagement. Method: A multi-point longitudinal questionnaire survey was carried out among 460 students in a rural junior high school in Tianjin by using the BJW Scale, Psychological Resilience Scale and Learning Engagement Scale. Conclusion:(1) BJW (T1) significantly predicts academic performance (T3). (2)Learning engagement (T2) alone mediates the effect between BJW (T1) and academic performance (T3). In addition, together with learning engagement (T2), psychological resilience (T2) plays a chain mediating role in the relationship between BJW (T1) and academic performance (T3).
International Experience and Cultural Intelligence: A Study of Accountant Professionalism

Cultural diversity in the business due to the influx of foreign investors and its technology and professional accountants abroad working in Indonesia poses unique challenges for the Indonesian accountant profession, especially those who work in Jakarta. The purpose of this study is to investigate the factors that influence Accountants' cultural intelligence (CQ) in Indonesia, as measured by assessing the metacognitive, cognitive, motivational, and behavioral aspects. This research is relatively new in the context of accounting research. This research examines aspects of accountants' experience interacting with different cultures when they live and study abroad. This research used structural equation modeling analysis with a partial least square approach. This study indicates that the tenure of work and international experiences motivate accountants to be more cultured intelligent. The motivation aspects encourage the metacognitive, cognitive, and behavioral aspects of cultural intelligence.
SwitchFlow: preemptive multitasking for deep learning

Accelerators, such as GPU, are a scarce resource in deep learning (DL). Effectively and efficiently sharing GPU leads to improved hardware utilization as well as user experiences, who may need to wait for hours to access GPU before a long training job is done. Spatial and temporal multitasking on GPU have been studied in the literature, but popular deep learning frameworks, such as Tensor-Flow and PyTorch, lack the support of GPU sharing among multiple DL models, which are typically represented as computation graphs, heavily optimized by underlying DL libraries, and run on a complex pipeline spanning CPU and GPU. Our study shows that GPU kernels, spawned from computation graphs, can barely execute simultaneously on a single GPU and time slicing may lead to low GPU utilization. This paper presents SwitchFlow, a scheduling framework for DL multitasking. It centers on two designs. First, instead of scheduling a computation graph as a whole, SwitchFlow schedules its subgraphs and prevents subgraphs from different models to run simultaneously on a GPU. This results in less interference and the elimination of out-of-memory errors. Moreover, subgraphs running on different devices can overlap with each other, leading to a more efficient execution pipeline. Second, SwitchFlow maintains multiple versions of each subgraph. This allows subgraphs to be migrated across devices at a low cost, thereby enabling low-latency preemption. Results on representative DL models show that SwitchFlow achieves up to an order of magnitude lower tail latency for inference requests collocated with a training job.
The Impact of R&D Employees’ Income on Work Engagement in High-tech Industries: Based on A Moderated Mediation Model

Based on the social exchange theory and job demand-resource model, this paper discusses the relationship between the R&D employees’ income and work engagement in high-tech industry, and explores the internal mechanism of job satisfaction, organizational commitment and sense of income equity. The results show that income has a significant positive effect on work engagement. It is also identified that job satisfaction and organizational commitment have a completely mediating effect between income and work engagement, and that the sense of income equity moderates the mediating role of job satisfaction and organizational commitment. This paper proposes a new approach to illustrate the impact of income on work engagement, which enriches the theoretical model framework of income and provides theoretical guidance for enterprises to improve employees’ work engagement.