Miracle-dz/UniFAR-FTUs huggingface dataset:
A Family of Auxiliary Switch ZVS-PWM DC-DC Converters with Coupled Inductor

A novel auxiliary switch DC-DC converter with coupled inductor is presented in this paper. The proposed circuit achieves loss-less switching for both the main and auxiliary switches without increasing the main device current/voltage rating. A tapping in the pole inductor is added for the purpose of commutation. The proposed circuit is capable of operation at elevated switching frequencies of several hundreds of kHz, high and low power levels with wide range of load variations. In the sections that follow, theoretical analysis and operating principle of the proposed circuit is outlined through the example of buck converter. Simulation and experimental results of 33 watt, 400 kHz boost converter are presented. The proposed circuit is applicable to all isolated and non-isolated DC-DC converters. The performance and the design equations of the ZVS are identical for all types of DC-DC converters when the throw voltage and the pole current are properly defined
Personalisation in multi-day GPS and accelerometer data pro- cessing

In this paper, we analyse how personalisation during processing of multi-day GPS and accelerometer data can improve the quality of the produced travel diaries. The main focus is on trip purpose detection using random forests. Two main approaches are followed. First, the e ect of person-based input features is shown, in particular distance to home and work improve classification result (median accuracy + 3.8 %). Second, it is analysed how usage of annotated data improves prediction. Most strategies like selecting the best classifier out of many, have no e ect. But, improvements are possible if the classifier is learned including some of the participant’s annotated data (median accuracy + 5.5 %).
Synthesis of configuration of uniformly radiating longitudinal slots in the sections of nonregular rectangular waveguides

The integral-equation method has been applied along with perturbation theory to investigate the leaky-wave parameters of the fundamental mode in the regular waveguide with a narrow longitudinal slot on its broad wall, opened into shielded semispace. Then, the simple analytical formulas have been derived for the engineering synthesis of radiating elements (REs), which are formed by a nonuniform waveguide section with a nonregular slot on its broad wall. The long slot was cut in the longitudinal direction along certain curved or several connected broken lines, forming small local angles with the waveguide axis. The synthesis of RE's by single-mode approximation has been carried out for the condition of good uniformity of radiating electrical-field distribution along the RE axis near the slot. Good agreement of theoretical and experimental results was obtained.
Identification of ncRNA-mediated prognostic Value and Immune Infiltration of MTHFD2 in Bladder Cancer

Background: Methylenetetrahydrofolate dehydrogenase 2 (MTHFD2), one of mitochondrial enzymes, is involved in folate and nucleic acid metabolism and maintains the cellular redox balance. However, the function of MTHFD2 in bladder cancer is still poorly characterized. This study was designed to elucidate the effect and regulatory mechanism of MTHFD2 on bladder cancer cells and explore the relationships between MTHFD2 and immune cell infiltration in tumor microenvironment (TME). Methods: The data from Oncomine, TIMER, The Cancer Genome Atlas (TCGA) and The Human Protein Atlas (HPA) database were extracted to evaluate the expression of MTHFD2 and its prognostic role in pan-cancer, especially in bladder cancer. Enrichment analyses, were utilized to explore the underlying cellular mechanisms. The ncRNA regulatory axis was established by Starbase database, and the PPI network was constructed by Cytoscape software. Ultimately, the relations between the expression of MTHFD2 and immune cell infiltration in bladder cancer was indicated by TCGA and TIMER databases.Results: Our results demonstrated that MTHFD2 expression was generally up-regulated in pan-cancers and its high expression was correlated with poor prognosis of patients with bladder cancer. Specifically, our study revealed that MTHFD2 was a powerful risk factor and involved in the tumor development of bladder cancer. Furthermore, hsa_circ_0046140 and hsa_circ_0006769/miR-383-5p/MTHFD2 axis could also play a significant role in tumorigenesis. Ultimately, a strong correlation was observed between MTHFD2 expression and various immune cell infiltration, which implied that MTHFD2 might serve as an agent in tumor immunotherapy. Conclusion: MTHFD2 is widely overexpressed in pan-cancers, and its expression is related with the prognosis of patients and the multiple immune cell infiltrates in TME. Besides, hsa_circ_0046140 and hsa_circ_0006769/miR-383-5p/MTHFD2 axis are implicated with the proliferation and invasion of tumors.
A predictive modelling-based material selection method for sustainable product design

Material selection significantly affects environmental impacts and other objectives of a product design. Life cycle assessment (LCA) methods are not efficient enough for use at the early design stages to prune a design space. Material properties consist of discrete data sets, which are further complicated when LCA data are included, thus posing a significant challenge in the construction of surrogate models for prediction of all relevant behaviours and numerical optimisation. In this work, we address the unique challenges of material selection in sustainable product design in some important ways. Salient features of the robust surrogate modelling approach include achieving manageable dimensionality of LCA with a minimal loss of the important information by the consolidation of significant factors into categorised groups, as well as subsequent efficiency enhancement by a streamlined process that avoids the construction of full LCA. This approach combines efficiency of use with a mathematically rigorous representation of any pertinent objectives across a design space. To this end, we adapt a two-stage sampling approach in surrogate model construction for sustainability considerations based on a feasible approximation of a Latin Hypercube design at the first stage. The development and implementation of the method are illustrated with the aid of an automotive disc brake design, and the results are discussed in the context of robust optimal material selection in early sustainable product design.
Multiple Sb ion implantation for deep-submicron pMOS channel doping

We propose a channel doping technology for pMOSFET's in which Sb is multiply ion implanted to produce a uniform doping profile in the region deeper than the minimum projected range of the multiple ion implantation. We derive a threshold voltage model and show how to realize this uniform doping profile, which is verified with experimental data. We study the short-channel effect of this device using a two-dimensional (2-D) device simulator, and show that this transistor can readily operate with a gate length of down to 0.1 /spl mu/m.
Unified analysis of error performance for binary signalling over Rayleigh fading channels

Using the unified expression as devised by Wojner, an analytical framework is presented to determine error performance of all binary modulation schemes employing coherent or non-coherent detection and operating over a slow flat Rayleigh fading channel with different diversity combining. A class of generalised expressions for the bit error probability has been obtained following the probability density function or the cumulative distribution function approach.
How Cysteine Protease Gene PtCP5 Affects Seed Germination by Mobilizing Storage Proteins in Populus trichocarpa

In higher plants, seed storage proteins are deposited in protein storage vacuoles (PSVs) and degraded by protease, especially cysteine proteases, as a source of nitrogen for seed germination. In this study, a cathepsin B-like cysteine protease PtCP5, which is important for seed germination and pollen development, was first cloned in Populus trichocarpa. The GUS staining of the ProPtCP5-GUS reporter line showed that PtCP5 is expressed in the roots, stems, leaves, flowers, siliques and seeds of Arabidopsis. We reveal that PtCP5 is present in plasma membrane and co-localizes with the plasma membrane marker REM1.3. Both seed germination and early seedling development are slower in OX-PtCP5 transgenic Arabidopsis when compared with the wild-type. Further analysis revealed that, when stained with toluidine blue, the observed storage protein accumulation was lower in OX-PtCP5 than in the wild-type. Our results also show that the number of abnormal pollen grains is higher and the germination rate of pollen is lower in OX-PtCP5 than in the wild-type. These results indicate that PtCP5 is an important factor in mobilizing storage proteins and that the proper expression of PtCP5 is necessary for both pollen and seed maturation and germination. This study sheds further light on the biological functions of cysteine proteases and provides further reference for seed development research on woody plants.
Measured Time Effects for Axial Capacity of Driven Piling

The results of a study to quantify effects of time on pile capacity are presented herein. The main focus of this paper is to present results from a database developed from various pile tests reported in the literature and to present some observations based on the pile test data. Both sands and clays are shown to experience setup. A database containing 80 pile load tests (both static and dynamic) was collected and sorted into three groups according to the primary subsurface profile: sands, clays, and mixed soil. Capacity-versus-time relationships are plotted for each soil type, but particular attention is given to the increase in capacity of pile in sand with time. It is shown that the load test results can provide an upper-bound estimate and a lower-bound estimate. Estimating the effect of time on pile capacity in sand can be important for reuse of existing piling and also can be helpful for quantifying just how much to expect capacity to increase with time if pile load tests show that capacities are coming up short.
Spray Cooling of IGBT Devices

The popularity and increased usage of insulated gate bipolar transistors (IGBTs) in power control systems have made the problem of cooling them a subject of considerable interest in recent years. In this investigation, a heat flux of 825 W/cm 2 at the die was achieved when air-water spray cooling was used to cool IGBTs at high current levels. The junction temperature of the device was measured accurately through voltage-to-temperature characterization. Results from other cooling technologies and other spray cooling experiments were reviewed. A discussion of electrical power losses in IGBTs, due to switching and conduction, is included in this paper. Experiments were conducted on 19 IGBTs, using data collection and software control of the test set. Three types of cooling were explored in this investigation: single-phase convection with water, spray cording with air-water and spray cooling with steam-water. The results of these experiments show clear advantages of air-water spray cooling IGBTs over other cooling technologies. The applications of spray cooling IGBTs are discussed in open (fixed) and closed (mobile) systems. Current and heat flux levels achieved during this investigation could not have been done using ordinary cooling methods. The techniques used in this investigation clearly demonstrate trio superior cooling performance of air-water spray cooling over traditional cooling methods.
ADVERSE WIND CONDITION - USING COMPUTATIONAL FLUID DYNAMICS

Computational Fluid Dynamics Simulation (CFD) has been mainly used for building scientists as an analysis tool to assess the complex phenomenon of building physics. It has recently been used as a design support tool. However, its utilization in the later phase of design restricts the applicability, mainly due to the lack of integration with geometry software application and optimization. This paper explores a method to integrate CFD with NURBS Modelling program (CAD) to optimize the building form in order to reduce the adverse wind. The first step is to investigate the hierarchical relationship between the geometries of the proposed building and surroundings, which are to be investigated by CFD to analyse the wind behaviour. The identified problems will be considered to generate the alternative forms to be simulated again with the existing surrounding geometries. This feedback loop will be repeated until it satisfies the objective. The proposed method will provide several alternative forms to be utilized for architects while discovering the relationship between building form and outdoor wind conditions.
The Relationship of Work-Related ICT Use With Well-being, Incorporating the Role of Resources and Demands: A Meta-Analysis

An understanding of the overall relationship between the work-related use of information and communication technology (ICT) and employees’ well-being is lacking as the rising number of studies has produced mixed results. We meta-analytically synthesize and integrate existing literature on the consequences of ICT use based on the job demands-resources model. By using meta-analytical structural equation modeling based on 63 independent studies (N = 26,295), we shed light on the relationship between ICT use and employees’ well-being (operationalized as burnout and engagement) in a model that incorporates the mediating role of ICT-related resources and demands. Results show that ICT use is opposingly related to burnout and engagement through autonomy, availability, and work-life conflict. Our study brings clarity into the contradictory results and highlights the importance of a simultaneous consideration of both positive and negative effects for a comprehensive understanding of the relationship. We further show that the time of use and managerial position, and methodological moderators can clarify heterogeneity in previous results.
A complete manual of field archaeology : tools and techniques of field work for archaeologists

This comprehensive handbook written for the novice covers all aspects of field archaeology from pre-excavation preparation to the processing of finds and publications. The chapters give detailed explanations of field and laboratory procedures, lists of required equipment, and suggested formats for recording data. Topics include the burial environment, surveying, excavation techniques, cataloging, field conservation, artifact analysis, drafting, photography, sampling analyses, and fieldwork opporunity agencies. Appendices include tables for survey calculations, camera support construction, and a list of current federal regulations concerning excavation. -- AATA -- AATA
The arbitrage In Securities Market Model And Some There Properties

The applications of functional analysis in economics began worked out since the by presenting theoretical studies related to the development and balance of financial markets by building mathematical models with linear topological space , describing and defining the economic balance of the stock market in mathematical formulas and terms , and then using the theorems of linear topological spaces such as Han's theorems . Banach , separation theorems , open function theorem ,closed statement theorem and so on to create the necessary and sufficient condition to make the market model achieve viability , achieve no arbitrage , and not recognize No free Lunches
A comparative analysis of multiloop voltage regulation strategies for single and three-phase UPS systems

Most of the many reported control algorithms for uninterruptible power supplies (UPSs) use either filter inductor or filter capacitor currents as feedback variables to regulate the output voltage. This paper explores the fundamental performance issues associated with the use of these quantities as feedback variables, with a view to determining their contribution to the transient system response and output harmonic compensation in any particular situation. A proportional plus resonant (P+resonant) compensator is then added into the outer voltage regulation loop to achieve zero steady error, to develop a high performance UPS control algorithm, which is applicable to both single-phase and three-phase systems. Theory, simulation, and experimental results are presented in the paper.
A Fault Feature Extraction Method for DC–DC Converters Based on Automatic Hyperparameter-Optimized 1-D Convolution and Long Short-Term Memory Neural Networks

To improve the diagnostic performance rate of parameter faults in dc–dc converters, obtaining the parameter fault characteristics of dc–dc converters is crucial. This study combines a 1-D convolutional neural network (1DCNN) and long short-term memory (LSTM) with automatic hyperparametric optimization and proposes deep learning models for time-series signal pattern recognition to achieve the dc–dc converter fault diagnosis. First, the 1-D original voltage signal of the dc–dc converters is preprocessed to obtain the labeled sample dataset. The corresponding training set and the test set are obtained. Then, according to the accuracy of the diagnosis, the optimal hyperparameter 1DCNN-LSTM diagnosis model is obtained from an optimization algorithm and the training sets. The model is applied to the test sets to perform feature extraction. Finally, a softmax classifier is used to evaluate the performance of the proposed method. Experimental results show that the proposed method outperforms the classic deep learning and traditional machine learning algorithms. In addition, the evaluation of the method under noise conditions is more challenging and practical.
Rapid Automated Monitoring of Construction Site Activities Using Ultra-Wide Band

Monitoring construction site activities is a critical concern to most stakeholders (owners, contractors, architects, engineers, suppliers, etc.) in a construction project. Successful projects are often determined by the level of awareness of project status or work task performance. Thus, information has inherent value for real-time or near real-time decision making. Good resource procurement and resource allocation of workforce, material, and equipment comes in play when job site conditions can be efficiently and effectively assessed. Semi- or automated technologies in the data collection and assessment process can assist in making fast and confident decisions. This paper introduces an emerging technology called Ultra Wide Band (UWB) for real-time location sensing and resource tracking. The technology, its use as data collection tool, preliminary data processing algorithms, experiments, and results are presented in the context of active work zone safety and material location tracking. Many more application areas exist where UWB might impact the field and project management level to overall benefit the construction industry’s competitiveness.
Integrating a functional view on suicide risk into idiographic statistical models.

Acute risk of death by suicide manifests in heightened suicidal ideation in certain contexts and time periods. These increases are thought to emerge from complex and mutually reinforcing relationships between dispositional vulnerability factors and individually suicidogenic short-term stressors. Together, these processes inform clinical safety planning and our therapeutic tools accommodate a reasonable degree of idiosyncrasy when we individualize interventions. Unraveling these multifaceted factors and processes on a quantitative level, however, requires estimation frameworks capable of representing idiosyncrasies relevant to intervention and psychotherapy. Using, data from a 21-day ambulatory assessment protocol that included six random prompts per day, we developed personalized (i.e., idiographic) models of interacting risk factors and suicidal ideation via Group Iterative Multiple Model Estimation (GIMME) in a sample of people diagnosed with borderline personality disorder (N = 95) stratified for a history of high lethality suicide attempts. Our models revealed high levels of heterogeneity in state risk factors related to suicidal ideation, with no features shared among the majority of participants or even among relatively homogenous clusters of participants (i.e., empirically derived subgroups). We discuss steps toward clinical implementation of personalized models, which can eventually capture suicidogenic changes in proximal risk factors and inform safety planning and interventions.
Improving the Performance of Circuit-Switched Interconnection Network for a Multi-FPGA System

SUMMARY Multi-FPGA systems have gained attention because of their high performance and power e ﬃ ciency. A multi-FPGA system called Flow-in-Cloud (FiC) is currently being developed as an accelerator of multi-access edge computing (MEC). FiC consists of multiple mid-range FPGAs tightly connected by high-speed serial links. Since time-critical jobs are assumed in MEC, a circuit-switched network with static time-division multiplexing (STDM) switches has been implemented on FiC. This paper investigates techniques of enhancing the interconnection performance of FiC. Unlike switching fabrics for Network on Chips or parallel machines, economical multi-FPGA systems, such as FiC, use Xilinx Aurora IP and FireFly cables with multiple lanes. We adopted the link aggregation and the slot distribution for using multiple lanes. To mitigate the bottleneck between an STDM switch and user logic, we also propose a multi-ejection STDM switch. We evaluated various combinations of our techniques by using three practical applications on an FiC prototype with 24 boards. When the number of slots is large and transferred data size is small, the slot distribution was sometimes more e ﬀ ective, while the link aggregation was superior for other most cases. Our multi-ejection STDM switch mitigated the bottleneck in ejection ports and successfully reduced the number of time slots. As a result, by combining the link aggregation and multi-ejection STDM switch, communication performance improved up to 7.50 times with few additional resources. Although the performance of the fast Fourier transform with the highest communication ratio could not be enhanced by using multiple boards when a lane was used, 1.99 times performance improvement was achieved by using 8 boards with four lanes and
Validity and Reliability of a Korean Version of the ConCom Safety Management Scale

The purpose of this study was to verify the validity and reliability of the Korean version of the ConCom Safety Management Scale (K-CCSMS). This study consisted of two phases. First, in accordance with the guidelines of the World Health Organization, the Korean version of the scale was developed in five stages. Second, data from 206 general and tertiary hospital nurses were analyzed to confirm the validity and reliability of the K-CCSMS; thus, the construct validity, criterion-related validity, and reliability were confirmed. In total, 21 items divided across four factors (i.e., stressing the importance of safety rules and monitoring, providing employees with feedback, showing role modeling behavior, and creating safety awareness) were identified through exploratory factor analysis. Three items were deleted through confirmatory factor analysis, and the model fit was as follows: normed χ2 = 2.80, normed fit index = 0.87, Tucker–Lewis index = 0.90, comparative fit index = 0.92, and standardized root mean square residual = 0.05. The correlation coefficient between the K-CCSMS and patient safety culture was 0.76 (p < 0.001), and internal consistency was acceptable (Cronbach’s α = 0.95). For patient safety, an appropriate combination of control- and commitment-based management is required, and the 18-item K-CCSMS showed usefulness and reliability in determining such a balance and evaluating the leadership styles of Korean nursing managers.